Heidi Howard, Markus A. Kuppe, Edward Ashton, Amaury Chamayou, Natacha Crooks:
Smart Casual Verification of the Confidential Consortium Framework. NSDI 2025: 259-276
Alind Khare, Dhruv Garg, Sukrit Kalra, Snigdha Grandhi, Ion Stoica, Alexey Tumanov:
SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads. NSDI 2025: 739-758
Mert Cemri, Melissa Z. Pan, Shuyi Yang, Lakshya A. Agrawal, Bhavya Chopra, Rishabh Tiwari, Kurt Keutzer, Aditya G. Parameswaran, Dan Klein, Kannan Ramchandran, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica:
Why Do Multi-Agent LLM Systems Fail? CoRR abs/2503.13657 (2025)
Mikel Rodriguez, Raluca Ada Popa, Four Flynn, Lihao Liang, Allan Dafoe, Anna Wang:
A Framework for Evaluating Emerging Cyberattack Capabilities of AI. CoRR abs/2503.11917 (2025)
Kaili Huang, Thejas Venkatesh, Uma Dingankar, Antonio Mallia, Daniel Campos, Jian Jiao, Christopher Potts, Matei Zaharia, Kwabena Boahen, Omar Khattab, Saarthak Sarup, Keshav Santhanam:
ColBERT-Serve: Efficient Multi-stage Memory-Mapped Scoring. ECIR (4) 2025: 21-30
Ziming Mao, Tian Xia, Zhanghao Wu, Wei-Lin Chiang, Tyler Griggs, Romil Bhardwaj, Zongheng Yang, Scott Shenker, Ion Stoica:
SkyServe: Serving AI Models across Regions and Clouds with Spot Instances. EuroSys 2025: 159-175
Shiyi Cao, Shu Liu, Tyler Griggs, Peter Schafhalter, Xiaoxuan Liu, Ying Sheng, Joseph E. Gonzalez, Matei Zaharia, Ion Stoica:
MoE-Lightning: High-Throughput MoE Inference on Memory-constrained GPUs. ASPLOS (1) 2025: 715-730
Alex Gu, Naman Jain, Wen-Ding Li, Manish Shetty, Yijia Shao, Ziyang Li, Diyi Yang, Kevin Ellis, Koushik Sen, Armando Solar-Lezama:
Challenges and Paths Towards AI for Software Engineering. CoRR abs/2503.22625 (2025)
Peter Schafhalter, Alexander Krentsel, Joseph E. Gonzalez, Sylvia Ratnasamy, Scott Shenker, Ion Stoica:
Bandwidth Allocation for Cloud-Augmented Autonomous Driving. CoRR abs/2503.20127 (2025)
Chen Zhang, Kuntai Du, Shu Liu, Woosuk Kwon, Xiangxi Mo, Yufeng Wang, Xiaoxuan Liu, Kaichao You, Zhuohan Li, Mingsheng Long, Jidong Zhai, Joseph Gonzalez, Ion Stoica:
Jenga: Effective Memory Management for Serving LLM with Heterogeneity. CoRR abs/2503.18292 (2025)
Evan Frick, Connor Chen, Joseph Tennyson, Tianle Li, Wei-Lin Chiang, Anastasios N. Angelopoulos, Ion Stoica:
Prompt-to-Leaderboard. CoRR abs/2502.14855 (2025)
Shu Liu, Xiangxi Mo, Moshik Hershcovitch, Henric Zhang, Audrey Cheng, Guy Girmonsky, Gil Vernik, Michael Factor, Tiemo Bang, Soujanya Ponnapalli, Natacha Crooks, Joseph E. Gonzalez, Danny Harnik, Ion Stoica:
SkyStore: Cost-Optimized Object Storage Across Regions and Clouds. CoRR abs/2502.20818 (2025)
Dacheng Li, Yunhao Fang, Yukang Chen, Shuo Yang, Shiyi Cao, Justin Wong, Michael Luo, Xiaolong Wang, Hongxu Yin, Joseph E. Gonzalez, Ion Stoica, Song Han, Yao Lu:
WorldModelBench: Judging Video Generation Models As World Models. CoRR abs/2502.20694 (2025)
Shangyin Tan, Lakshya A. Agrawal, Arnav Singhvi, Liheng Lai, Michael J. Ryan, Dan Klein, Omar Khattab, Koushik Sen, Matei Zaharia:
LangProBe: a Language Programs Benchmark. CoRR abs/2502.20315 (2025)
Lingjiao Chen, Jared Quincy Davis, Boris Hanin, Peter Bailis, Matei Zaharia, James Zou, Ion Stoica:
Optimizing Model Selection for Compound AI Systems. CoRR abs/2502.14815 (2025)
Dacheng Li, Shiyi Cao, Chengkun Cao, Xiuyu Li, Shangyin Tan, Kurt Keutzer, Jiarong Xing, Joseph E. Gonzalez, Ion Stoica:
S*: Test Time Scaling for Code Generation. CoRR abs/2502.14382 (2025)
Michael Luo, Xiaoxiang Shi, Colin Cai, Tianjun Zhang, Justin Wong, Yichuan Wang, Chi Wang, Yanping Huang, Zhifeng Chen, Joseph E. Gonzalez, Ion Stoica:
Autellix: An Efficient Serving Engine for LLM Agents as General Programs. CoRR abs/2502.13965 (2025)
Wayne Chi, Valerie Chen, Anastasios Nikolas Angelopoulos, Wei-Lin Chiang, Aditya Mittal, Naman Jain, Tianjun Zhang, Ion Stoica, Chris Donahue, Ameet Talwalkar:
Copilot Arena: A Platform for Code LLM Evaluation in the Wild. CoRR abs/2502.09328 (2025)
Alejandro Cuadron, Dacheng Li, Wenjie Ma, Xingyao Wang, Yichuan Wang, Siyuan Zhuang, Shu Liu, Luis Gaspar Schroeder, Tian Xia, Huanzhi Mao, Nicholas Thumiger, Aditya Desai, Ion Stoica, Ana Klimovic, Graham Neubig, Joseph E. Gonzalez:
The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks. CoRR abs/2502.08235 (2025)
Dacheng Li, Shiyi Cao, Tyler Griggs, Shu Liu, Xiangxi Mo, Eric Tang, Sumanth Hegde, Kourosh Hakhamaneshi, Shishir G. Patil, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica:
LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters! CoRR abs/2502.07374 (2025)
Hangliang Ding, Dacheng Li, Runlong Su, Peiyuan Zhang, Zhijie Deng, Ion Stoica, Hao Zhang:
Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile. CoRR abs/2502.06155 (2025)
Luis Gaspar Schroeder, Shu Liu, Alejandro Cuadron, Mark Zhao, Stephan Krusche, Alfons Kemper, Matei Zaharia, Joseph E. Gonzalez:
Adaptive Semantic Prompt Caching with VectorQ. CoRR abs/2502.03771 (2025)
Peiyuan Zhang, Yongqi Chen, Runlong Su, Hangliang Ding, Ion Stoica, Zhenghong Liu, Hao Zhang:
Fast Video Generation with Sliding Tile Attention. CoRR abs/2502.04507 (2025)
Chaofan Lin, Jiaming Tang, Shuo Yang, Hanshuo Wang, Tian Tang, Boyu Tian, Ion Stoica, Song Han, Mingyu Gao:
Twilight: Adaptive Attention Sparsity with Hierarchical Top-p Pruning. CoRR abs/2502.02770 (2025)
Alan Zhu, Parth Asawa, Jared Quincy Davis, Lingjiao Chen, Boris Hanin, Ion Stoica, Joseph E. Gonzalez, Matei Zaharia:
BARE: Combining Base and Instruction-Tuned Language Models for Better Synthetic Data Generation. CoRR abs/2502.01697 (2025)
Haocheng Xi, Shuo Yang, Yilong Zhao, Chenfeng Xu, Muyang Li, Xiuyu Li, Yujun Lin, Han Cai, Jintao Zhang, Dacheng Li, Jianfei Chen, Ion Stoica, Kurt Keutzer, Song Han:
Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity. CoRR abs/2502.01776 (2025)
Jan Luca Scheerer, Matei Zaharia, Christopher Potts, Gustavo Alonso, Omar Khattab:
WARP: An Efficient Engine for Multi-Vector Retrieval. CoRR abs/2501.17788 (2025)
Shiyi Cao, Yichuan Wang, Ziming Mao, Pin-Lun Hsu, Liangsheng Yin, Tian Xia, Dacheng Li, Shu Liu, Yineng Zhang, Yang Zhou, Ying Sheng, Joseph Gonzalez, Ion Stoica:
Locality-aware Fair Scheduling in LLM Serving. CoRR abs/2501.14312 (2025)
Frank Sifei Luan, Ziming Mao, Ron Yifeng Wang, Charlotte Lin, Amog Kamsetty, Hao Chen, Cheng Su, Balaji Veeramani, Scott Lee, SangBin Cho, Clark Zinzow, Eric Liang, Ion Stoica, Stephanie Wang:
The Streaming Batch Model for Efficient and Fault-Tolerant Heterogeneous Execution. CoRR abs/2501.12407 (2025)
Yangsibo Huang, Milad Nasr, Anastasios Angelopoulos, Nicholas Carlini, Wei-Lin Chiang, Christopher A. Choquette-Choo, Daphne Ippolito, Matthew Jagielski, Katherine Lee, Ken Ziyu Liu, Ion Stoica, Florian Tramèr, Chiyuan Zhang:
Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards. CoRR abs/2501.07493 (2025)
Albert J. Rogers, Neal K. Bhatia, Sabyasachi Bandyopadhyay, James E. Tooley, Rayan Ansari, Vyom Thakkar, Justin Xu, Jessica Torres Soto, Jagteshwar S. Tung, Mahmood I. Alhusseini, Paul Clopton, Reza Sameni, Gari D. Clifford, J. Weston Hughes, Euan A. Ashley, Marco V. Perez, Matei Zaharia, Sanjiv M. Narayan:
Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram. npj Digit. Medicine 8(1) (2025)
Ziming Mao, Rishabh R. Iyer, Scott Shenker, Ion Stoica:
Revisiting Cache Freshness for Emerging Real-Time Applications. CoRR abs/2412.20221 (2024)
Kaiyuan Chen, Kush Hari, Trinity Chung, Michael Wang, Nan Tian, Christian Juette, Jeffrey Ichnowski, Liu Ren, John Kubiatowicz, Ion Stoica, Ken Goldberg:
FogROS2-FT: Fault Tolerant Cloud Robotics. IROS 2024: 1390-1397
Siavash Ameli, Siyuan Zhuang, Ion Stoica, Michael W. Mahoney:
A Statistical Framework for Ranking LLM-Based Chatbots. CoRR abs/2412.18407 (2024)
Manish Shetty, Naman Jain, Adwait Godbole, Sanjit A. Seshia, Koushik Sen:
Syzygy: Dual Code-Test C to (safe) Rust Translation using LLMs and Dynamic Analysis. CoRR abs/2412.14234 (2024)
Aditya Desai, Shuo Yang, Alejandro Cuadron, Ana Klimovic, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica:
HashAttention: Semantic Sparsity for Faster Inference. CoRR abs/2412.14468 (2024)
Ion Stoica, Matei Zaharia, Joseph Gonzalez, Ken Goldberg, Koushik Sen, Hao Zhang, Anastasios Angelopoulos, Shishir G. Patil, Lingjiao Chen, Wei-Lin Chiang, Jared Quincy Davis:
Specifications: The missing link to making the development of LLM systems an engineering discipline. CoRR abs/2412.05299 (2024)
Lisa Dunlap, Krishna Mandal, Trevor Darrell, Jacob Steinhardt, Joseph E. Gonzalez:
VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models. CoRR abs/2410.12851 (2024)
Christopher Chou, Lisa Dunlap, Koki Mashita, Krishna Mandal, Trevor Darrell, Ion Stoica, Joseph E. Gonzalez, Wei-Lin Chiang:
VisionArena: 230K Real World User-VLM Conversations with Preference Labels. CoRR abs/2412.08687 (2024)
Lanxiang Hu, Qiyu Li, Anze Xie, Nan Jiang, Ion Stoica, Haojian Jin, Hao Zhang:
GameArena: Evaluating LLM Reasoning through Live Computer Games. CoRR abs/2412.06394 (2024)
Kaiyuan Chen, Kush Hari, Trinity Chung, Michael Wang, Nan Tian, Christian Juette, Jeffrey Ichnowski, Liu Ren, John Kubiatowicz, Ion Stoica, Ken Goldberg:
FogROS2-FT: Fault Tolerant Cloud Robotics. CoRR abs/2412.05408 (2024)
Yilong Zhao, Shuo Yang, Kan Zhu, Lianmin Zheng, Baris Kasikci, Yang Zhou, Jiarong Xing, Ion Stoica:
BlendServe: Optimizing Offline Inference for Auto-regressive Large Models with Resource-aware Batching. CoRR abs/2411.16102 (2024)
Jiezhi Yang, Khushi Desai, Charles Packer, Harshil Bhatia, Nicholas Rhinehart, Rowan McAllister, Joseph E. Gonzalez:
CARFF: Conditional Auto-Encoded Radiance Field for 3D Scene Forecasting. ECCV (89) 2024: 225-242
Mathew Jacob, Erik Lindgren, Matei Zaharia, Michael Carbin, Omar Khattab, Andrew Drozdov:
Drowning in Documents: Consequences of Scaling Reranker Inference. CoRR abs/2411.11767 (2024)
Shiyi Cao, Shu Liu, Tyler Griggs, Peter Schafhalter, Xiaoxuan Liu, Ying Sheng, Joseph E. Gonzalez, Matei Zaharia, Ion Stoica:
MoE-Lightning: High-Throughput MoE Inference on Memory-constrained GPUs. CoRR abs/2411.11217 (2024)
Ziming Mao, Rishabh R. Iyer, Scott Shenker, Ion Stoica:
Revisiting Cache Freshness for Emerging Real-Time Applications. HotNets 2024: 335-342
Neil Giridharan, Florian Suri-Payer, Ittai Abraham, Lorenzo Alvisi, Natacha Crooks:
Autobahn: Seamless high speed BFT. SOSP 2024: 1-23
Yi Xu, Ziming Mao, Xiangxi Mo, Shu Liu, Ion Stoica:
Pie: Pooling CPU Memory for LLM Inference. CoRR abs/2411.09317 (2024)
Quinn Leng, Jacob Portes, Sam Havens, Matei Zaharia, Michael Carbin:
Long Context RAG Performance of Large Language Models. CoRR abs/2411.03538 (2024)
Ziming Mao, Tian Xia, Zhanghao Wu, Wei-Lin Chiang, Tyler Griggs, Romil Bhardwaj, Zongheng Yang, Scott Shenker, Ion Stoica:
SkyServe: Serving AI Models across Regions and Clouds with Spot Instances. CoRR abs/2411.01438 (2024)
Xuanlin Jiang, Yang Zhou, Shiyi Cao, Ion Stoica, Minlan Yu:
NEO: Saving GPU Memory Crisis with CPU Offloading for Online LLM Inference. CoRR abs/2411.01142 (2024)
Sijun Tan, Xiuyu Li, Shishir G. Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph Gonzalez, Raluca A. Popa:
LLoCO: Learning Long Contexts Offline. EMNLP 2024: 17605-17621
Krista Opsahl-Ong, Michael J. Ryan, Josh Purtell, David Broman, Christopher Potts, Matei Zaharia, Omar Khattab:
Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs. EMNLP 2024: 9340-9366
Federico Mora, Justin Wong, Haley Lepe, Sahil Bhatia, Karim Elmaaroufi, George Varghese, Joseph E. Gonzalez, Elizabeth Polgreen, Sanjit A. Seshia:
Synthetic Programming Elicitation and Repair for Text-to-Code in Very Low-Resource Programming Languages. CoRR abs/2406.03636 (2024)
Jiwon Park, Shadaj Laddad, Dev Bali, Wen Zhang, Scott Shenker, Matei Zaharia:
Everything Everywhere All At Once: Efficient Cross-Service Program Analysis with OverSeer. ASE Workshops 2024: 82-87
Neil Giridharan, Ittai Abraham, Natacha Crooks, Kartik Nayak, Ling Ren:
Granular Synchrony. DISC 2024: 30:1-30:22
Evan Frick, Tianle Li, Connor Chen, Wei-Lin Chiang, Anastasios N. Angelopoulos, Jiantao Jiao, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica:
How to Evaluate Reward Models for RLHF. CoRR abs/2410.14872 (2024)
Alexander Krentsel, Peter Schafhalter, Joseph E. Gonzalez, Sylvia Ratnasamy, Scott Shenker, Ion Stoica:
Managing Bandwidth: The Key to Cloud-Assisted Autonomous Driving. CoRR abs/2410.16227 (2024)
Emmanuele Lacavalla, Shuyi Yang, Riccardo Crupi, Joseph E. Gonzalez:
HEnRY: A Multi-Agent System Framework for Multi-Domain Contexts. CoRR abs/2410.12720 (2024)
Sijun Tan, Siyuan Zhuang, Kyle Montgomery, William Y. Tang, Alejandro Cuadron, Chenguang Wang, Raluca Ada Popa, Ion Stoica:
JudgeBench: A Benchmark for Evaluating LLM-based Judges. CoRR abs/2410.12784 (2024)
Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin Cui:
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models. CoRR abs/2406.04271 (2024)
Justin Wong, Yury Orlovskiy, Michael Luo, Sanjit A. Seshia, Joseph E. Gonzalez:
SimpleStrat: Diversifying Language Model Generation with Stratification. CoRR abs/2410.09038 (2024)
Ling Yang, Zhaochen Yu, Tianjun Zhang, Minkai Xu, Joseph E. Gonzalez, Bin Cui, Shuicheng Yan:
SuperCorrect: Supervising and Correcting Language Models with Error-Driven Insights. CoRR abs/2410.09008 (2024)
Wilson Yan, Matei Zaharia, Volodymyr Mnih, Pieter Abbeel, Aleksandra Faust, Hao Liu:
ElasticTok: Adaptive Tokenization for Image and Video. CoRR abs/2410.08368 (2024)
Maryann Xue, Yingyi Bu, Abhishek Somani, Wenchen Fan, Ziqi Liu, Steven Chen, Herman Van Hovell, Bart Samwel, Mostafa Mokhtar, Rk Korlapati, Andy Lam, Yunxiao Ma, Vuk Ercegovac, Jiexing Li, Alexander Behm, Yuanjian Li, Xiao Li, Sriram Krishnamurthy, Amit Shukla, Michalis Petropoulos, Sameer Paranjpye, Reynold Xin, Matei Zaharia:
Adaptive and Robust Query Execution for Lakehouses At Scale. Proc. VLDB Endow. 17(12): 3947-3959 (2024)
Tsung-Han Wu, Joseph E. Gonzalez, Trevor Darrell, David M. Chan:
CLAIR-A: Leveraging Large Language Models to Judge Audio Captions. CoRR abs/2409.12962 (2024)
Lisa Dunlap, Yuhui Zhang, Xiaohan Wang, Ruiqi Zhong, Trevor Darrell, Jacob Steinhardt, Joseph E. Gonzalez, Serena Yeung-Levy:
Describing Differences in Image Sets with Natural Language. CVPR 2024: 24199-24208
Tsung-Han Wu, Giscard Biamby, David M. Chan, Lisa Dunlap, Ritwik Gupta, Xudong Wang, Joseph E. Gonzalez, Trevor Darrell:
See, Say, and Segment: Teaching LMMs to Overcome False Premises. CVPR 2024: 13459-13469
Tsung-Han Wu, Long Lian, Joseph E. Gonzalez, Boyi Li, Trevor Darrell:
Self-Correcting LLM-Controlled Diffusion Models. CVPR 2024: 6327-6336
Chaofan Shou, Yuanyu Ke, Yupeng Yang, Qi Su, Or Dadosh, Assaf Eli, David Benchimol, Doudou Lu, Daniel Tong, Dex Chen, Zoey Tan, Jacob Chia, Koushik Sen, Wenke Lee:
BACKRUNNER: Mitigating Smart Contract Attacks in the Real World. CoRR abs/2409.06213 (2024)
Yichao Fu, Siqi Zhu, Runlong Su, Aurick Qiao, Ion Stoica, Hao Zhang:
Efficient LLM Scheduling by Learning to Rank. CoRR abs/2408.15792 (2024)
Neil Giridharan, Ittai Abraham, Natacha Crooks, Kartik Nayak, Ling Ren:
Granular Synchrony. CoRR abs/2408.12853 (2024)
Asim Biswal, Liana Patel, Siddarth Jha, Amog Kamsetty, Shu Liu, Joseph E. Gonzalez, Carlos Guestrin, Matei Zaharia:
Text2SQL is Not Enough: Unifying AI and Databases with TAG. CoRR abs/2408.14717 (2024)
Audrey Cheng, Aaron N. Kabcenell, Jason Chan, Xiao Shi, Peter D. Bailis, Natacha Crooks, Ion Stoica:
Towards Optimal Transaction Scheduling. Proc. VLDB Endow. 17(11): 2694-2707 (2024)
Shuo Yang, Ying Sheng, Joseph E. Gonzalez, Ion Stoica, Lianmin Zheng:
Post-Training Sparse Attention with Double Sparsity. CoRR abs/2408.07092 (2024)
Alex Gu, Wen-Ding Li, Naman Jain, Theo Olausson, Celine Lee, Koushik Sen, Armando Solar-Lezama:
The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations? ACL (Findings) 2024: 74-117
Jinhao Zhu, Liana Patel, Matei Zaharia, Raluca Ada Popa:
Compass: Encrypted Semantic Search with High Accuracy. IACR Cryptol. ePrint Arch. 2024: 1255 (2024)
Deevashwer Rathee, Dacheng Li, Ion Stoica, Hao Zhang, Raluca A. Popa:
MPC-Minimized Secure LLM Inference. CoRR abs/2408.03561 (2024)
Jared Quincy Davis, Boris Hanin, Lingjiao Chen, Peter Bailis, Ion Stoica, Matei Zaharia:
Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design. CoRR abs/2407.16831 (2024)
Hao Liu, Wilson Yan, Matei Zaharia, Pieter Abbeel:
World Model on Million-Length Video And Language With Blockwise RingAttention. CoRR abs/2402.08268 (2024)
Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Banghua Zhu, Hao Zhang, Michael I. Jordan, Joseph E. Gonzalez, Ion Stoica:
Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. ICML 2024
Jiangfei Duan, Runyu Lu, Haojie Duanmu, Xiuhong Li, Xingcheng Zhang, Dahua Lin, Ion Stoica, Hao Zhang:
MuxServe: Flexible Spatial-Temporal Multiplexing for Multiple LLM Serving. ICML 2024
Xiaoxuan Liu, Lanxiang Hu, Peter Bailis, Alvin Cheung, Zhijie Deng, Ion Stoica, Hao Zhang:
Online Speculative Decoding. ICML 2024
Naman Jain, Manish Shetty, Tianjun Zhang, King Han, Koushik Sen, Ion Stoica:
R2E: Turning any Github Repository into a Programming Agent Environment. ICML 2024
Suppakit Waiwitlikhit, Ion Stoica, Yi Sun, Tatsunori Hashimoto, Daniel Kang:
Trustless Audits without Revealing Data or Models. ICML 2024
Tsung-Han Wu, Giscard Biamby, Jerome Quenum, Ritwik Gupta, Joseph E. Gonzalez, Trevor Darrell, David M. Chan:
Visual Haystacks: Answering Harder Questions About Sets of Images. CoRR abs/2407.13766 (2024)
Liana Patel, Siddharth Jha, Carlos Guestrin, Matei Zaharia:
LOTUS: Enabling Semantic Queries with LLMs Over Tables of Unstructured and Structured Data. CoRR abs/2407.11418 (2024)
Ying Sheng, Shiyi Cao, Dacheng Li, Banghua Zhu, Zhuohan Li, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica:
Fairness in Serving Large Language Models. OSDI 2024: 965-988
Darya Kaviani, Sijun Tan, Pravein Govindan Kannan, Raluca Ada Popa:
Flock: A Framework for Deploying On-Demand Distributed Trust. OSDI 2024: 721-743
Graeme Connell, Vivian Fang, Rolfe Schmidt, Emma Dauterman, Raluca Ada Popa:
Secret Key Recovery in a Global-Scale End-to-End Encryption System. IACR Cryptol. ePrint Arch. 2024: 887 (2024)
Graeme Connell, Vivian Fang, Rolfe Schmidt, Emma Dauterman, Raluca Ada Popa:
Secret Key Recovery in a Global-Scale End-to-End Encryption System. OSDI 2024: 703-719
Michael Luo, Siyuan Zhuang, Suryaprakash Vengadesan, and Romil Bhardwaj, UC Berkeley; Justin Chang, UC Santa Barbara; Eric Friedman, Scott Shenker, and Ion Stoica, UC Berkeley
Michael Luo, Siyuan Zhuang, Suryaprakash Vengadesan, Romil Bhardwaj, Justin Chang, Eric J. Friedman, Scott Shenker, Ion Stoica:
Starburst: A Cost-aware Scheduler for Hybrid Cloud. USENIX ATC 2024: 37-57
Isaac Ong, Amjad Almahairi, Vincent Wu, Wei-Lin Chiang, Tianhao Wu, Joseph E. Gonzalez, M. Waleed Kadous, Ion Stoica:
RouteLLM: Learning to Route LLMs with Preference Data. CoRR abs/2406.18665 (2024)
Heidi Howard, Markus A. Kuppe, Edward Ashton, Amaury Chamayou, Natacha Crooks:
Smart Casual Verification of CCF's Distributed Consensus and Consistency Protocols. CoRR abs/2406.17455 (2024)
Jon Saad-Falcon, Omar Khattab, Christopher Potts, Matei Zaharia:
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems. NAACL-HLT 2024: 338-354
Xiaoxuan Liu, Cade Daniel, Langxiang Hu, Woosuk Kwon, Zhuohan Li, Xiangxi Mo, Alvin Cheung, Zhijie Deng, Ion Stoica, Hao Zhang:
Optimizing Speculative Decoding for Serving Large Language Models Using Goodput. CoRR abs/2406.14066 (2024)
Tianle Li, Wei-Lin Chiang, Evan Frick, Lisa Dunlap, Tianhao Wu, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica:
From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline. CoRR abs/2406.11939 (2024)
Krista Opsahl-Ong, Michael J. Ryan, Josh Purtell, David Broman, Christopher Potts, Matei Zaharia, Omar Khattab:
Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs. CoRR abs/2406.11695 (2024)
Suzanne Petryk, David M. Chan, Anish Kachinthaya, Haodi Zou, John F. Canny, Joseph Gonzalez, Trevor Darrell:
ALOHa: A New Measure for Hallucination in Captioning Models. NAACL (Short Papers) 2024: 342-357
Arash Ardakani, Altan Haan, Shangyin Tan, Doru-Thom Popovici, Alvin Cheung, Costin Iancu, Koushik Sen:
SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics. NAACL-HLT 2024: 6218-6236
Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin Cui:
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models. CoRR abs/2406.04271 (2024)
Ying Sheng, Shiyi Cao, Dacheng Li, Banghua Zhu, Zhuohan Li, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica:
Fairness in Serving Large Language Models. CoRR abs/2401.00588 (2024)
Darya Kaviani, Sijun Tan, Pravein Govindan Kannan, Raluca Ada Popa:
Flock: A Framework for Deploying On-Demand Distributed Trust. IACR Cryptol. ePrint Arch. 2024: 892 (2024)
Federico Mora, Justin Wong, Haley Lepe, Sahil Bhatia, Karim Elmaaroufi, George Varghese, Joseph E. Gonzalez, Elizabeth Polgreen, Sanjit A. Seshia:
Synthetic Programming Elicitation and Repair for Text-to-Code in Very Low-Resource Programming Languages. CoRR abs/2406.03636 (2024)
Dan Zheng, Koushik Sen:
Dynamic Inference of Likely Symbolic Tensor Shapes in Python Machine Learning Programs. ICSE-SEIP 2024: 147-156
Justin Cui, Wei-Lin Chiang, Ion Stoica, Cho-Jui Hsieh:
OR-Bench: An Over-Refusal Benchmark for Large Language Models. CoRR abs/2405.20947 (2024)
Liana Patel, Peter Kraft, Carlos Guestrin, Matei Zaharia:
ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data. Proc. ACM Manag. Data 2(3): 120 (2024)
Altan Haan, Doru-Thom Popovici, Koushik Sen, Costin Iancu, Alvin Cheung:
To Tile or not to Tile, That is the Question. IPDPS (Workshops) 2024: 449-458
Vinamra Benara, Chandan Singh, John X. Morris, Richard Antonello, Ion Stoica, Alexander G. Huth, Jianfeng Gao:
Crafting Interpretable Embeddings by Asking LLMs Questions. CoRR abs/2405.16714 (2024)
Raluca Ada Popa:
Confidential Computing or Cryptographic Computing?: Tradeoffs between cryptography and hardware enclaves. ACM Queue 22(2) (2024)
Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto:
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks. SP (Workshops) 2024: 132-143
Jean-Luc Watson, Tess Despres, Alvin Tan, Shishir G. Patil, Prabal Dutta, Raluca Ada Popa:
Nebula: A Privacy-First Platform for Data Backhaul. SP 2024: 3184-3202
Mayank Rathee, Yuwen Zhang, Henry Corrigan-Gibbs, Raluca Ada Popa:
Private Analytics via Streaming, Sketching, and Silently Verifiable Proofs. SP 2024: 3072-3090
Jean-Luc Watson, Saharsh Agrawal, Ryan Tsang, Sherry Luo, Raluca Ada Popa, Prabal Dutta:
Retcon: Live Updates for Embedded Event-Driven Applications. IPSN 2024: 126-137
Ying Sheng, Shiyi Cao, Dacheng Li, Coleman Hooper, Nicholas Lee, Shuo Yang, Christopher Chou, Banghua Zhu, Lianmin Zheng, Kurt Keutzer, Joseph Gonzalez, Ion Stoica:
SLoRA: Scalable Serving of Thousands of LoRA Adapters. MLSys 2024
Karim Elmaaroufi, Devan Shanker, Ana Cismaru, Marcell Vazquez-Chanlatte, Alberto L. Sangiovanni-Vincentelli, Matei Zaharia, Sanjit A. Seshia:
Generating Probabilistic Scenario Programs from Natural Language. CoRR abs/2405.03709 (2024)
Mayank Rathee, Yuwen Zhang, Henry Corrigan-Gibbs, Raluca Ada Popa:
Private Analytics via Streaming, Sketching, and Silently Verifiable Proofs. IACR Cryptol. ePrint Arch. 2024: 666 (2024)
Michael Luo, Justin Wong, Brandon Trabucco, Yanping Huang, Joseph E. Gonzalez, Zhifeng Chen, Ruslan Salakhutdinov, Ion Stoica:
Stylus: Automatic Adapter Selection for Diffusion Models. CoRR abs/2404.18928 (2024)
Kevin Laeufer, Brandon Fajardo, Abhik Ahuja, Vighnesh Iyer, Borivoje Nikolic, Koushik Sen:
RTL-Repair: Fast Symbolic Repair of Hardware Design Code. ASPLOS (3) 2024: 867-881
Tianrui Wei, Kevin Laeufer, Katie Lim, Jerry Zhao, Koushik Sen, Jonathan Balkind, Krste Asanovic:
Zoomie: A Software-like Debugging Tool for FPGAs. ASPLOS (3) 2024: 1048-1062
Keshav Santhanam, Deepti Raghavan, Muhammad Shahir Rahman, Thejas Venkatesh, Neha Kunjal, Pratiksha Thaker, Philip Alexander Levis, Matei Zaharia:
ALTO: An Efficient Network Orchestrator for Compound AI Systems. EuroMLSys@EuroSys 2024: 117-125
David C. Y. Chu, Chris Liu, Natacha Crooks, Joseph M. Hellerstein, Heidi Howard:
Bigger, not Badder: Safely Scaling BFT Protocols. PaPoC@EuroSys 2024: 30-36
Tyler Griggs, Xiaoxuan Liu, Jiaxiang Yu, Doyoung Kim, Wei-Lin Chiang, Alvin Cheung, Ion Stoica:
M'elange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity. CoRR abs/2404.14527 (2024)
Conor Power, Saikrishna Achalla, Ryan Cottone, Nathaniel Macasaet, Joseph M. Hellerstein:
Wrapping Rings in Lattices: An Algebraic Symbiosis of Incremental View Maintenance and Eventual Consistency. PaPoC@EuroSys 2024: 15-22
Bing-Jyue Chen, Suppakit Waiwitlikhit, Ion Stoica, Daniel Kang:
ZKML: An Optimizing System for ML Inference in Zero-Knowledge Proofs. EuroSys 2024: 560-574
Bing-Jyue Chen, Suppakit Waiwitlikhit, Ion Stoica, Daniel Kang:
ZKML: An Optimizing System for ML Inference in Zero-Knowledge Proofs. EuroSys 2024: 560-574
Zhanghao Wu, Wei-Lin Chiang, Ziming Mao, Zongheng Yang, Eric J. Friedman, Scott Shenker, Ion Stoica:
Can't Be Late: Optimizing Spot Instance Savings under Deadlines. NSDI 2024: 185-203
Sarah Wooders, Shu Liu, Paras Jain, Xiangxi Mo, Joseph E. Gonzalez, Vincent Liu, Ion Stoica:
Cloudcast: High-Throughput, Cost-Aware Overlay Multicast in the Cloud. NSDI 2024: 281-296
David C. Y. Chu, Chris Liu, Natacha Crooks, Joseph M. Hellerstein, Heidi Howard:
Bigger, not Badder: Safely Scaling BFT Protocols. PaPoC@EuroSys 2024: 30-36
Fangyu Wu, Guanhua Wang, Siyuan Zhuang, Kehan Wang, Alexander Keimer, Ion Stoica, Alexandre M. Bayen:
Composing MPC With LQR and Neural Network for Amortized Efficiency and Stable Control. IEEE Trans Autom. Sci. Eng. 21(2): 2088-2101 (2024)
Sijun Tan, Xiuyu Li, Shishir G. Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph E. Gonzalez, Raluca Ada Popa:
LLoCO: Learning Long Contexts Offline. CoRR abs/2404.07979 (2024)
Shishir G. Patil, Tianjun Zhang, Vivian Fang, Noppapon C., Roy Huang, Aaron Hao, Martin Casado, Joseph E. Gonzalez, Raluca Ada Popa, Ion Stoica:
GoEX: Perspectives and Designs Towards a Runtime for Autonomous LLM Applications. CoRR abs/2404.06921 (2024)
Suppakit Waiwitlikhit, Ion Stoica, Yi Sun, Tatsunori Hashimoto, Daniel Kang:
Trustless Audits without Revealing Data or Models. CoRR abs/2404.04500 (2024)
Tiemo Bang, Conor Power, Siavash Ameli, Natacha Crooks, Joseph M. Hellerstein:
Optimizing the cloud? Don't train models. Build oracles! CIDR 2024
Suzanne Petryk, David M. Chan, Anish Kachinthaya, Haodi Zou, John F. Canny, Joseph E. Gonzalez, Trevor Darrell:
ALOHa: A New Measure for Hallucination in Captioning Models. CoRR abs/2404.02904 (2024)
David Chu, Rithvik Panchapakesan, Shadaj Laddad, Lucky Katahanas, Chris Liu, Kaushik Shivakumar, Natacha Crooks, Joseph M. Hellerstein, Heidi Howard:
Optimizing Distributed Protocols with Query Rewrites [Technical Report]. CoRR abs/2404.01593 (2024)
Jiangfei Duan, Runyu Lu, Haojie Duanmu, Xiuhong Li, Xingcheng Zhang, Dahua Lin, Ion Stoica, Hao Zhang:
MuxServe: Flexible Multiplexing for Efficient Multiple LLM Serving. CoRR abs/2404.02015 (2024)
Fangyu Wu, Guanhua Wang, Siyuan Zhuang, Kehan Wang, Alexander Keimer, Ion Stoica, Alexandre M. Bayen:
Composing MPC With LQR and Neural Network for Amortized Efficiency and Stable Control. IEEE Trans Autom. Sci. Eng. 21(2): 2088-2101 (2024)
David C. Y. Chu, Rithvik Panchapakesan, Shadaj Laddad, Lucky E. Katahanas, Chris Liu, Kaushik Shivakumar, Natacha Crooks, Joseph M. Hellerstein, Heidi Howard:
Optimizing Distributed Protocols with Query Rewrites. Proc. ACM Manag. Data 2(1): 2:1-2:25 (2024)
Tiemo Bang, Chris Douglas, Natacha Crooks, Joseph M. Hellerstein:
SkyPIE: A Fast & Accurate Oracle for Object Placement. Proc. ACM Manag. Data 2(1): 55:1-55:27 (2024)
Tianjun Zhang, Shishir G. Patil, Naman Jain, Sheng Shen, Matei Zaharia, Ion Stoica, Joseph E. Gonzalez:
RAFT: Adapting Language Model to Domain Specific RAG. CoRR abs/2403.10131 (2024)
Kaichao You, Runsheng Bai, Meng Cao, Jianmin Wang, Ion Stoica, Mingsheng Long:
depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers. CoRR abs/2403.13839 (2024)
Kaichao You, Runsheng Bai, Meng Cao, Jianmin Wang, Ion Stoica, Mingsheng Long:
depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers. CoRR abs/2403.13839 (2024)
Naman Jain, King Han, Alex Gu, Wen-Ding Li, Fanjia Yan, Tianjun Zhang, Sida Wang, Armando Solar-Lezama, Koushik Sen, Ion Stoica:
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code. CoRR abs/2403.07974 (2024)
Shu Liu, Asim Biswal, Audrey Cheng, Xiangxi Mo, Shiyi Cao, Joseph E. Gonzalez, Ion Stoica, Matei Zaharia:
Optimizing LLM Queries in Relational Workloads. CoRR abs/2403.05821 (2024)
Liana Patel, Peter Kraft, Carlos Guestrin, Matei Zaharia:
ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data. CoRR abs/2403.04871 (2024)
Keshav Santhanam, Deepti Raghavan, Muhammad Shahir Rahman, Thejas Venkatesh, Neha Kunjal, Pratiksha Thaker, Philip Alexander Levis, Matei Zaharia:
ALTO: An Efficient Network Orchestrator for Compound AI Systems. CoRR abs/2403.04311 (2024)
Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Hao Zhang, Banghua Zhu, Michael I. Jordan, Joseph E. Gonzalez, Ion Stoica:
Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. CoRR abs/2403.04132 (2024)
Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Hao Zhang, Banghua Zhu, Michael I. Jordan, Joseph E. Gonzalez, Ion Stoica:
Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. CoRR abs/2403.04132 (2024)
Jean-Luc Watson, Tess Despres, Alvin Tan, Shishir G. Patil, Prabal Dutta, Raluca Ada Popa:
Nebula: A Privacy-First Platform for Data Backhaul. IACR Cryptol. ePrint Arch. 2024: 409 (2024)
Lingjiao Chen, Jared Quincy Davis, Boris Hanin, Peter Bailis, Ion Stoica, Matei Zaharia, James Zou:
Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems. CoRR abs/2403.02419 (2024)
Alex Gu, Wen-Ding Li, Naman Jain, Theo X. Olausson, Celine Lee, Koushik Sen, Armando Solar-Lezama:
The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations? CoRR abs/2402.19475 (2024)
Hao Liu, Wilson Yan, Matei Zaharia, Pieter Abbeel:
World Model on Million-Length Video And Language With Blockwise RingAttention. CoRR abs/2402.08268 (2024)
Yichao Fu, Peter Bailis, Ion Stoica, Hao Zhang:
Break the Sequential Dependency of LLM Inference Using Lookahead Decoding. CoRR abs/2402.02057 (2024)
Yichao Fu, Peter Bailis, Ion Stoica, Hao Zhang:
Break the Sequential Dependency of LLM Inference Using Lookahead Decoding. CoRR abs/2402.02057 (2024)
Lingjiao Chen, Jared Quincy Davis, Boris Hanin, Peter Bailis, Ion Stoica, Matei Zaharia, James Zou:
Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems. CoRR abs/2403.02419 (2024)
Jiezhi Yang, Khushi Desai, Charles Packer, Harshil Bhatia, Nicholas Rhinehart, Rowan McAllister, Joseph Gonzalez:
CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting. CoRR abs/2401.18075 (2024)
Chaofan Shou, Jing Liu, Doudou Lu, Koushik Sen:
LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models. CoRR abs/2401.11108 (2024)
Ismet Burak Kadron, Yannic Noller, Rohan Padhye, Tevfik Bultan, Corina S. Pasareanu, Koushik Sen:
Fuzzing, Symbolic Execution, and Expert Guidance for Better Testing. IEEE Softw. 41(1): 98-104 (2024)
Neil Giridharan, Florian Suri-Payer, Ittai Abraham, Lorenzo Alvisi, Natacha Crooks:
Motorway: Seamless high speed BFT. CoRR abs/2401.10369 (2024)
Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, Zhiyuan Zhang, Keshav Santhanam, Sri Vardhamanan, Saiful Haq, Ashutosh Sharma, Thomas T. Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, Christopher Potts:
DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines. ICLR 2024
Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E. Gonzalez, Koushik Sen, Ion Stoica:
LLM-Assisted Code Cleaning For Training Accurate Code Generators. ICLR 2024
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Hao Zhang:
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. ICLR 2024
Hao Liu, Matei Zaharia, Pieter Abbeel:
RingAttention with Blockwise Transformers for Near-Infinite Context. ICLR 2024
Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell:
Multitask Vision-Language Prompt Tuning. WACV 2024: 5644-5655
David Chu, Rithvik Panchapakesan, Shadaj Laddad, Lucky Katahanas, Chris Liu, Kaushik Shivakumar, Natacha Crooks, Joseph M. Hellerstein, Heidi Howard:
Optimizing Distributed Protocols with Query Rewrites [Technical Report]. CoRR abs/2404.01593 (2024)
Suzanne Petryk, Spencer Whitehead, Joseph E. Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach:
Simple Token-Level Confidence Improves Caption Correctness. WACV 2024: 5730-5740
Ying Sheng, Shiyi Cao, Dacheng Li, Banghua Zhu, Zhuohan Li, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica:
Fairness in Serving Large Language Models. CoRR abs/2401.00588 (2024)
Ismet Burak Kadron, Yannic Noller, Rohan Padhye, Tevfik Bultan, Corina S. Pasareanu, Koushik Sen:
Fuzzing, Symbolic Execution, and Expert Guidance for Better Testing. IEEE Softw. 41(1): 98-104 (2024)
Manish Shetty, Koushik Sen, Ion Stoica:
CodeScholar: Growing Idiomatic Code Examples. CoRR abs/2312.15157 (2023)
Arnav Singhvi, Manish Shetty, Shangyin Tan, Christopher Potts, Koushik Sen, Matei Zaharia, Omar Khattab:
DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines. CoRR abs/2312.13382 (2023)
Reginald Frank, Micah Murray, Suyash Gupta, Ethan Xu, Natacha Crooks, Manos Kapritsos:
Picsou: Enabling Efficient Cross-Consensus Communication. CoRR abs/2312.11029 (2023)
Peter Schafhalter, Sukrit Kalra, Le Xu, Joseph E. Gonzalez, Ion Stoica:
Leveraging Cloud Computing to Make Autonomous Vehicles Safer. IROS 2023: 5559-5566
Tsung-Han Wu, Giscard Biamby, David Chan, Lisa Dunlap, Ritwik Gupta, Xudong Wang, Joseph E. Gonzalez, Trevor Darrell:
See, Say, and Segment: Teaching LMMs to Overcome False Premises. CoRR abs/2312.08366 (2023)
Lianmin Zheng, Liangsheng Yin, Zhiqiang Xie, Jeff Huang, Chuyue Sun, Cody Hao Yu, Shiyi Cao, Christos Kozyrakis, Ion Stoica, Joseph E. Gonzalez, Clark W. Barrett, Ying Sheng:
Efficiently Programming Large Language Models using SGLang. CoRR abs/2312.07104 (2023)
David Chan, Suzanne Petryk, Joseph Gonzalez, Trevor Darrell, John F. Canny:
CLAIR: Evaluating Image Captions with Large Language Models. EMNLP 2023: 13638-13646
Kevin Lin, Kyle Lo, Joseph Gonzalez, Dan Klein:
Decomposing Complex Queries for Tip-of-the-tongue Retrieval. EMNLP (Findings) 2023: 5521-5533
Lisa Dunlap, Yuhui Zhang, Xiaohan Wang, Ruiqi Zhong, Trevor Darrell, Jacob Steinhardt, Joseph E. Gonzalez, Serena Yeung-Levy:
Describing Differences in Image Sets with Natural Language. CoRR abs/2312.02974 (2023)
Tsung-Han Wu, Long Lian, Joseph E. Gonzalez, Boyi Li, Trevor Darrell:
Self-correcting LLM-controlled Diffusion Models. CoRR abs/2311.16090 (2023)
Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E. Gonzalez, Koushik Sen, Ion Stoica:
LLM-Assisted Code Cleaning For Training Accurate Code Generators. CoRR abs/2311.14904 (2023)
Shuo Yang, Wei-Lin Chiang, Lianmin Zheng, Joseph E. Gonzalez, Ion Stoica:
Rethinking Benchmark and Contamination for Language Models with Rephrased Samples. CoRR abs/2311.04850 (2023)
Ying Sheng, Shiyi Cao, Dacheng Li, Coleman Hooper, Nicholas Lee, Shuo Yang, Christopher Chou, Banghua Zhu, Lianmin Zheng, Kurt Keutzer, Joseph E. Gonzalez, Ion Stoica:
S-LoRA: Serving Thousands of Concurrent LoRA Adapters. CoRR abs/2311.03285 (2023)
Daniel Rothchild, Andrew S. Rosen, Eric Taw, Connie Robinson, Joseph E. Gonzalez, Aditi S. Krishnapriyan:
Investigating the Behavior of Diffusion Models for Accelerating Electronic Structure Calculations. CoRR abs/2311.01491 (2023)
Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gonzalez, Hao Zhang, Ion Stoica:
Efficient Memory Management for Large Language Model Serving with PagedAttention. SOSP 2023: 611-626
Joseph E. Gonzalez, Yucheng Low:
The Story of GraphLab - From Scaling Machine Learning to Shaping Graph Systems Research. Proc. VLDB Endow. 16(12): 4138 (2023)
David Chan, Suzanne Petryk, Joseph E. Gonzalez, Trevor Darrell, John F. Canny:
CLAIR: Evaluating Image Captions with Large Language Models. CoRR abs/2310.12971 (2023)
Charles Packer, Vivian Fang, Shishir G. Patil, Kevin Lin, Sarah Wooders, Joseph E. Gonzalez:
MemGPT: Towards LLMs as Operating Systems. CoRR abs/2310.08560 (2023)
Rolando Garcia, Anusha Dandamudi, Gabriel Matute, Lehan Wan, Joseph Gonzalez, Joseph M. Hellerstein, Koushik Sen:
Multiversion Hindsight Logging for Continuous Training. CoRR abs/2310.07898 (2023)
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Hao Zhang:
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. CoRR abs/2309.11998 (2023)
Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph E. Gonzalez, Hao Zhang, Ion Stoica:
Efficient Memory Management for Large Language Model Serving with PagedAttention. CoRR abs/2309.06180 (2023)
Tianjun Zhang, Tongzheng Ren, Chenjun Xiao, Wenli Xiao, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai:
Energy-based Predictive Representations for Partially Observed Reinforcement Learning. UAI 2023: 2477-2487
Tiemo Bang, Conor Power, Siavash Ameli, Natacha Crooks, Joseph M. Hellerstein:
Optimizing the cloud? Don't train models. Build oracles! CoRR abs/2308.06815 (2023)
Robert Avram, Jeffrey E. Olgin, Zeeshan Ahmed, Louis Verreault-Julien, Alvin Wan, Joshua Barrios, Sean Abreau, Derek Wan, Joseph E. Gonzalez, Jean-Claude Tardif, Derek Y. So, Krishan Soni, Geoffrey H. Tison:
CathAI: fully automated coronary angiography interpretation and stenosis estimation. npj Digit. Medicine 6 (2023)
Natacha Crooks:
Efficient Data Sharing across Trust Domains. SIGMOD Rec. 52(2): 36-37 (2023)
Ian Chang, Katerina Sotiraki, Weikeng Chen, Murat Kantarcioglu, Raluca A. Popa:
HOLMES: Efficient Distribution Testing for Secure Collaborative Learning. USENIX Security Symposium 2023
Peter Schafhalter, Sukrit Kalra, Le Xu, Joseph E. Gonzalez, Ion Stoica:
Leveraging Cloud Computing to Make Autonomous Vehicles Safer. CoRR abs/2308.03204 (2023)
Yaoqing Yang, Ryan Theisen, Liam Hodgkinson, Joseph E. Gonzalez, Kannan Ramchandran, Charles H. Martin, Michael W. Mahoney:
Test Accuracy vs. Generalization Gap: Model Selection in NLP without Accessing Training or Testing Data. KDD 2023: 3011-3021
Abdus Salam Azad, Izzeddin Gur, Jasper Emhoff, Nathaniel Alexis, Aleksandra Faust, Pieter Abbeel, Ion Stoica:
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning. ICML 2023: 1361-1395
Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Beidi Chen, Percy Liang, Christopher Ré, Ion Stoica, Ce Zhang:
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU. ICML 2023: 31094-31116
Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez:
The Wisdom of Hindsight Makes Language Models Better Instruction Followers. ICML 2023: 41414-41428
Chaofan Shou, Shangyin Tan, Koushik Sen:
ItyFuzz: Snapshot-Based Fuzzer for Smart Contract. ISSTA 2023: 322-333
Chaofan Shou, Shangyin Tan, Koushik Sen:
ItyFuzz: Snapshot-Based Fuzzer for Smart Contract. CoRR abs/2306.17135 (2023)
Malte Schwarzkopf, Andrew Baumann, Natacha Crooks:
Proceedings of the 19th Workshop on Hot Topics in Operating Systems, HOTOS 2023, Providence, RI, USA, June 22-24, 2023. ACM 2023 [contents]
Neil Giridharan, Florian Suri-Payer, Matthew Ding, Heidi Howard, Ittai Abraham, Natacha Crooks:
BeeGees: Stayin' Alive in Chained BFT. PODC 2023: 233-243
Zhuohan Li, Lianmin Zheng, Yinmin Zhong, Vincent Liu, Ying Sheng, Xin Jin, Yanping Huang, Zhifeng Chen, Hao Zhang, Joseph E. Gonzalez, Ion Stoica:
AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving. OSDI 2023: 663-679
Romil Bhardwaj, Kirthevasan Kandasamy, Asim Biswal, Wenshuo Guo, Benjamin Hindman, Joseph Gonzalez, Michael I. Jordan, Ion Stoica:
Cilantro: Performance-Aware Resource Allocation for General Objectives via Online Feedback. OSDI 2023: 623-643
Siyuan Zhuang, Stephanie Wang, Eric Liang, Yi Cheng, Ion Stoica:
ExoFlow: A Universal Workflow System for Exactly-Once DAGs. OSDI 2023: 269-286
Audrey Cheng, David Chu, Terrance Li, Jason Chan, Natacha Crooks, Joseph M. Hellerstein, Ion Stoica, Xiangyao Yu:
Take Out the TraChe: Maximizing (Tra)nsactional Ca(che) Hit Rate. OSDI 2023: 419-439
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric P. Xing, Hao Zhang, Joseph E. Gonzalez, Ion Stoica:
Judging LLM-as-a-judge with MT-Bench and Chatbot Arena. CoRR abs/2306.05685 (2023)
Jeffrey Ichnowski, Kaiyuan Chen, Karthik Dharmarajan, Simeon Adebola, Michael Danielczuk, Victor Mayoral Vilches, Nikhil Jha, Hugo Zhan, Edith LLontop, Derek Xu, Camilo Buscaron, John Kubiatowicz, Ion Stoica, Joseph Gonzalez, Ken Goldberg:
FogROS2: An Adaptive Platform for Cloud and Fog Robotics Using ROS 2. ICRA 2023: 5493-5500
Arash Ardakani, Altan Haan, Shangyin Tan, Doru-Thom Popovici, Alvin Cheung, Costin Iancu, Koushik Sen:
SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics. CoRR abs/2305.18513 (2023)
Lisa Dunlap, Alyssa Umino, Han Zhang, Jiezhi Yang, Joseph E. Gonzalez, Trevor Darrell:
Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation. CoRR abs/2305.16289 (2023)
Kevin Lin, Kyle Lo, Joseph E. Gonzalez, Dan Klein:
Decomposing Complex Queries for Tip-of-the-tongue Retrieval. CoRR abs/2305.15053 (2023)
Shishir G. Patil, Tianjun Zhang, Xin Wang, Joseph E. Gonzalez:
Gorilla: Large Language Model Connected with Massive APIs. CoRR abs/2305.15334 (2023)
Mayank Rathee, Conghao Shen, Sameer Wagh, Raluca Ada Popa:
ELSA: Secure Aggregation for Federated Learning with Malicious Actors. SP 2023: 1961-1979
Sijun Tan, Weikeng Chen, Ryan Deng, Raluca Ada Popa:
MPCAuth: Multi-factor Authentication for Distributed-trust Systems. SP 2023: 829-847
Dacheng Li, Rulin Shao, Anze Xie, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Xuezhe Ma, Hao Zhang:
LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers. CoRR abs/2310.03294 (2023)
Zhihong Luo, Silvery Fu, Natacha Crooks, Shaddi Hasan, Christian Maciocco, Sylvia Ratnasamy, Scott Shenker:
LOCA: A Location-Oblivious Cellular Architecture. NSDI 2023: 1621-1646
Suzanne Petryk, Spencer Whitehead, Joseph E. Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach:
Simple Token-Level Confidence Improves Caption Correctness. CoRR abs/2305.07021 (2023)
Suyash Gupta, Sajjad Rahnama, Shubham Pandey, Natacha Crooks, Mohammad Sadoghi:
Dissecting BFT Consensus: In Trusted Components we Trust! EuroSys 2023: 521-539
Matthew Burke, Florian Suri-Payer, Jeffrey Helt, Lorenzo Alvisi, Natacha Crooks:
Morty: Scaling Concurrency Control with Re-Execution. EuroSys 2023: 687-702
Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai:
Spectral Decomposition Representation for Reinforcement Learning. ICLR 2023
Tianjun Zhang, Xuezhi Wang, Denny Zhou, Dale Schuurmans, Joseph E. Gonzalez:
TEMPERA: Test-Time Prompt Editing via Reinforcement Learning. ICLR 2023
Lisa Dunlap, Clara Mohri, Devin Guillory, Han Zhang, Trevor Darrell, Joseph E. Gonzalez, Aditi Raghunathan, Anna Rohrbach:
Using Language to Extend to Unseen Domains. ICLR 2023
Lisa Dunlap, Clara Mohri, Devin Guillory, Han Zhang, Trevor Darrell, Joseph E. Gonzalez, Aditi Raghunathan, Anna Rohrbach:
Using Language to Extend to Unseen Domains. CoRR abs/2210.09520 (2022)
Hong Zhang, Yupeng Tang, Anurag Khandelwal, Ion Stoica:
SHEPHERD: Serving DNNs in the Wild. NSDI 2023: 787-808
Zongheng Yang, Zhanghao Wu, Michael Luo, Wei-Lin Chiang, Romil Bhardwaj, Woosuk Kwon, Siyuan Zhuang, Frank Sifei Luan, Gautam Mittal, Scott Shenker, Ion Stoica:
SkyPilot: An Intercloud Broker for Sky Computing. NSDI 2023: 437-455
Paras Jain, Sam Kumar, Sarah Wooders, Shishir G. Patil, Joseph E. Gonzalez, Ion Stoica:
Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays. NSDI 2023: 1375-1389
Kevin Laeufer, Vighnesh Iyer, David Biancolin, Jonathan Bachrach, Borivoje Nikolic, Koushik Sen:
Simulator Independent Coverage for RTL Hardware Languages. ASPLOS (3) 2023: 606-615
Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Daniel Y. Fu, Zhiqiang Xie, Beidi Chen, Clark W. Barrett, Joseph E. Gonzalez, Percy Liang, Christopher Ré, Ion Stoica, Ce Zhang:
High-throughput Generative Inference of Large Language Models with a Single GPU. CoRR abs/2303.06865 (2023)
Seah Kim, Hasan Genc, Vadim Vadimovich Nikiforov, Krste Asanovic, Borivoje Nikolic, Yakun Sophia Shao:
MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks. HPCA 2023: 828-841
Zhuohan Li, Lianmin Zheng, Yinmin Zhong, Vincent Liu, Ying Sheng, Xin Jin, Yanping Huang, Zhifeng Chen, Hao Zhang, Joseph E. Gonzalez, Ion Stoica:
AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving. CoRR abs/2302.11665 (2023)
Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto:
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks. CoRR abs/2302.05733 (2023)
Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez:
The Wisdom of Hindsight Makes Language Models Better Instruction Followers. CoRR abs/2302.05206 (2023)
Kirthevasan Kandasamy, Joseph E. Gonzalez, Michael I. Jordan, Ion Stoica:
VCG Mechanism Design with Unknown Agent Values under Stochastic Bandit Feedback. J. Mach. Learn. Res. 24: 53:1-53:45 (2023)
Frank Sifei Luan, Stephanie Wang, Samyukta Yagati, Sean Kim, Kenneth Lien, Isaac Ong, Tony Hong, SangBin Cho, Eric Liang, Ion Stoica:
Exoshuffle-CloudSort. CoRR abs/2301.03734 (2023)
Paras Jain, Peter Kraft, Conor Power, Tathagata Das, Ion Stoica, Matei Zaharia:
Analyzing and Comparing Lakehouse Storage Systems. CIDR 2023
Henry Milner, Yihua Cheng, Jibin Zhan, Hui Zhang, Vyas Sekar, Junchen Jiang, Ion Stoica:
Raising the Level of Abstraction for Time-State Analytics With the Timeline Framework. CIDR 2023
Nathan Pemberton, Anton Zabreyko, Zhoujie Ding, Randy H. Katz, Joseph Gonzalez:
Kernel-as-a-Service: A Serverless Interface to GPUs. CoRR abs/2212.08146 (2022)
Mayank Rathee, Conghao Shen, Sameer Wagh, Raluca Ada Popa:
ELSA: Secure Aggregation for Federated Learning with Malicious Actors. IACR Cryptol. ePrint Arch. 2022: 1695 (2022)
Da Shen, Xinyun Chen, Chenguang Wang, Koushik Sen, Dawn Song:
Benchmarking Language Models for Code Syntax Understanding. EMNLP (Findings) 2022: 3071-3093
Shadaj Laddad, Conor Power, Mae Milano, Alvin Cheung, Natacha Crooks, Joseph M. Hellerstein:
Keep CALM and CRDT On. Proc. VLDB Endow. 16(4): 856-863 (2022)
Jianhao Shen, Chenguang Wang, Ye Yuan, Jiawei Han, Heng Ji, Koushik Sen, Ming Zhang, Dawn Song:
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion. EMNLP (Findings) 2022: 3833-3847
Luiz André Barroso, Tanzeem Choudhury, Manish Gupta, Oyekunle A. Olukotun, Raluca Ada Popa, Dawn Xiaodong Song, David A. Patterson:
Global perspectives of diversity, equity, and inclusion. Commun. ACM 65(12): 30-31 (2022)
Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell:
Multitask Vision-Language Prompt Tuning. CoRR abs/2211.11720 (2022)
Tianjun Zhang, Xuezhi Wang, Denny Zhou, Dale Schuurmans, Joseph E. Gonzalez:
TEMPERA: Test-Time Prompting via Reinforcement Learning. CoRR abs/2211.11890 (2022)
Emma Dauterman, Vivian Fang, Natacha Crooks, Raluca Ada Popa:
Reflections on trusting distributed trust. HotNets 2022: 38-45
Silvery Fu, Hong Zhang, Sylvia Ratnasamy, Ion Stoica:
The internet of things in a laptop: rapid prototyping for IoT applications with digibox. HotNets 2022: 24-30
Yonghao Zhuang, Hexu Zhao, Lianmin Zheng, Zhuohan Li, Eric P. Xing, Qirong Ho, Joseph E. Gonzalez, Ion Stoica, Hao Zhang:
On Optimizing the Communication of Model Parallelism. CoRR abs/2211.05322 (2022)
Daniel Kang, Tatsunori Hashimoto, Ion Stoica, Yi Sun:
ZK-IMG: Attested Images via Zero-Knowledge Proofs to Fight Disinformation. CoRR abs/2211.04775 (2022)
Spencer Whitehead, Suzanne Petryk, Vedaad Shakib, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach:
Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly. ECCV (36) 2022: 148-166
Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen:
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity. ECCV (4) 2022: 603-618
Brijen Thananjeyan, Justin Kerr, Huang Huang, Joseph E. Gonzalez, Ken Goldberg:
All You Need is LUV: Unsupervised Collection of Labeled Images Using UV-Fluorescent Markings. IROS 2022: 3241-3248
Da Shen, Xinyun Chen, Chenguang Wang, Koushik Sen, Dawn Song:
Benchmarking Language Models for Code Syntax Understanding. CoRR abs/2210.14473 (2022)
Jianhao Shen, Chenguang Wang, Ye Yuan, Jiawei Han, Heng Ji, Koushik Sen, Ming Zhang, Dawn Song:
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion. CoRR abs/2210.13715 (2022)
Gur-Eyal Sela, Ionel Gog, Justin Wong, Kumar Krishna Agrawal, Xiangxi Mo, Sukrit Kalra, Peter Schafhalter, Eric Leong, Xin Wang, Bharathan Balaji, Joseph Gonzalez, Ion Stoica:
Context-Aware Streaming Perception in Dynamic Environments. ECCV (38) 2022: 621-638
Shadaj Laddad, Conor Power, Mae Milano, Alvin Cheung, Natacha Crooks, Joseph M. Hellerstein:
Keep CALM and CRDT On. CoRR abs/2210.12605 (2022)
Spencer Whitehead, Suzanne Petryk, Vedaad Shakib, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach:
Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly. CoRR abs/2204.13631 (2022)
Abdus Salam Azad, Izzeddin Gur, Aleksandra Faust, Pieter Abbeel, Ion Stoica:
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning. CoRR abs/2210.10243 (2022)
Ittai Abraham, Natacha Crooks, Neil Giridharan, Heidi Howard, Florian Suri-Payer:
Brief Announcement: It's not easy to relax: liveness in chained BFT protocols. DISC 2022: 39:1-39:3
Daniel Kang, Tatsunori Hashimoto, Ion Stoica, Yi Sun:
Scaling up Trustless DNN Inference with Zero-Knowledge Proofs. CoRR abs/2210.08674 (2022)
Emma Dauterman, Vivian Fang, Natacha Crooks, Raluca Ada Popa:
Reflections on trusting distributed trust. CoRR abs/2210.08127 (2022)
Paras Jain, Sam Kumar, Sarah Wooders, Shishir G. Patil, Joseph E. Gonzalez, Ion Stoica:
Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays. CoRR abs/2210.07259 (2022)
Kevin Miao, Akash Gokul, Raghav Singh, Suzanne Petryk, Joseph Gonzalez, Kurt Keutzer, Trevor Darrell, Colorado Reed:
Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers. CoRR abs/2209.03745 (2022)
Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai:
Spectral Decomposition Representation for Reinforcement Learning. CoRR abs/2208.09515 (2022)
Gur-Eyal Sela, Ionel Gog, Justin Wong, Kumar Krishna Agrawal, Xiangxi Mo, Sukrit Kalra, Peter Schafhalter, Eric Leong, Xin Wang, Bharathan Balaji, Joseph Gonzalez, Ion Stoica:
Context-Aware Streaming Perception in Dynamic Environments. CoRR abs/2208.07479 (2022)
Jean-Luc Watson, Sameer Wagh, Raluca Ada Popa:
Piranha: A GPU Platform for Secure Computation. USENIX Security Symposium 2022: 827-844
Fangyu Wu, Guanhua Wang, Siyuan Zhuang, Kehan Wang, Alexander Keimer, Ion Stoica, Alexandre M. Bayen:
Composing MPC with LQR and Neural Networks for Efficient and Stable Control. CoRR abs/2112.07238 (2021)
Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen:
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity. CoRR abs/2207.13129 (2022)
Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu:
The Seattle report on database research. Commun. ACM 65(8): 72-79 (2022)
Romil Bhardwaj, Alexey Tumanov, Stephanie Wang, Richard Liaw, Philipp Moritz, Robert Nishihara, Ion Stoica:
ESCHER: expressive scheduling with ephemeral resources. SoCC 2022: 47-62
Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph Gonzalez, Dale Schuurmans, Bo Dai:
Making Linear MDPs Practical via Contrastive Representation Learning. ICML 2022: 26447-26466
Vainavi Viswanath, Kaushik Shivakumar, Justin Kerr, Brijen Thananjeyan, Ellen R. Novoseller, Jeffrey Ichnowski, Alejandro Escontrela, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg:
Autonomously Untangling Long Cables. CoRR abs/2207.07813 (2022)
Shishir G. Patil, Paras Jain, Prabal Dutta, Ion Stoica, Joseph E. Gonzalez:
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging. CoRR abs/2207.07697 (2022)
Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai:
Making Linear MDPs Practical via Contrastive Representation Learning. CoRR abs/2207.07150 (2022)
Lianmin Zheng, Zhuohan Li, Hao Zhang, Yonghao Zhuang, Zhifeng Chen, Yanping Huang, Yida Wang, Yuanzhong Xu, Danyang Zhuo, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica:
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning. OSDI 2022: 559-578
Jean-Luc Watson, Sameer Wagh, Raluca Ada Popa:
Piranha: A GPU Platform for Secure Computation. IACR Cryptol. ePrint Arch. 2022: 892 (2022)
Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Jeffrey Ichnowski, Ellen R. Novoseller, Minho Hwang, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg:
Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies. CoRR abs/2107.08942 (2021)
Zhengming Zhang, Ashwinee Panda, Linyue Song, Yaoqing Yang, Michael W. Mahoney, Prateek Mittal, Kannan Ramchandran, Joseph Gonzalez:
Neurotoxin: Durable Backdoors in Federated Learning. ICML 2022: 26429-26446
Melih Elibol, Vinamra Benara, Samyu Yagati, Lianmin Zheng, Alvin Cheung, Michael I. Jordan, Ion Stoica:
NumS: Scalable Array Programming for the Cloud. CoRR abs/2206.14276 (2022)
Shishir G. Patil, Paras Jain, Prabal Dutta, Ion Stoica, Joseph Gonzalez:
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging. ICML 2022: 17573-17583
Abdus Salam Azad, Edward Kim, Qiancheng Wu, Kimin Lee, Ion Stoica, Pieter Abbeel, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning. AAAI 2022: 6028-6036
David A. Patterson, Joseph Gonzalez, Urs Hölzle, Quoc V. Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, Jeff Dean:
The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink. Computer 55(7): 18-28 (2022)
Dimitra Giantsidi, Maurice Bailleu, Natacha Crooks, Pramod Bhatotia:
Treaty: Secure Distributed Transactions. DSN 2022: 14-27
Yaoqing Yang, Ryan Theisen, Liam Hodgkinson, Joseph E. Gonzalez, Kannan Ramchandran, Charles H. Martin, Michael W. Mahoney:
Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data. CoRR abs/2202.02842 (2022)
Suzanne Petryk, Lisa Dunlap, Keyan Nasseri, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach:
On Guiding Visual Attention with Language Specification. CVPR 2022: 18071-18081
Zhengming Zhang, Ashwinee Panda, Linyue Song, Yaoqing Yang, Michael W. Mahoney, Joseph E. Gonzalez, Kannan Ramchandran, Prateek Mittal:
Neurotoxin: Durable Backdoors in Federated Learning. CoRR abs/2206.10341 (2022)
Vivian Fang, Lloyd Brown, William Lin, Wenting Zheng, Aurojit Panda, Raluca Ada Popa:
CostCO: An automatic cost modeling framework for secure multi-party computation. EuroS&P 2022: 140-153
Zongheng Yang, Wei-Lin Chiang, Sifei Luan, Gautam Mittal, Michael Luo, Ion Stoica:
Balsa: Learning a Query Optimizer Without Expert Demonstrations. SIGMOD Conference 2022: 931-944
Ittai Abraham, Natacha Crooks, Neil Giridharan, Heidi Howard, Florian Suri-Payer:
It's not easy to relax: liveness in chained BFT protocols. CoRR abs/2205.11652 (2022)
Alain Tchana, Raphael Colin, Adrien Le Berre, Vincent Berger, Benoît Combemale, Natacha Crooks, Ludovic Pailler:
rgpdOS: GDPR Enforcement By The Operating System. CoRR abs/2205.10929 (2022)
Emma Dauterman, Mayank Rathee, Raluca Ada Popa, Ion Stoica:
Waldo: A Private Time-Series Database from Function Secret Sharing. IEEE Symposium on Security and Privacy 2022: 2450-2468
Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen:
Efficient and transferable adversarial examples from bayesian neural networks. UAI 2022: 738-748
Jeffrey Ichnowski, Kaiyuan Chen, Karthik Dharmarajan, Simeon Adebola, Michael Danielczuk, Victor Mayoral Vilches, Hugo Zhan, Derek Xu, Ramtin Ghassemi, John Kubiatowicz, Ion Stoica, Joseph Gonzales, Ken Goldberg:
FogROS 2: An Adaptive and Extensible Platform for Cloud and Fog Robotics Using ROS 2. CoRR abs/2205.09778 (2022)
Paras Jain, Safeen Huda, Martin Maas, Joseph E. Gonzalez, Ion Stoica, Azalia Mirhoseini:
Learning to Design Accurate Deep Learning Accelerators with Inaccurate Multipliers. DATE 2022: 184-189
Sarah E. Chasins, Alvin Cheung, Natacha Crooks, Ali Ghodsi, Ken Goldberg, Joseph E. Gonzalez, Joseph M. Hellerstein, Michael I. Jordan, Anthony D. Joseph, Michael W. Mahoney, Aditya G. Parameswaran, David A. Patterson, Raluca Ada Popa, Koushik Sen, Scott Shenker, Dawn Song, Ion Stoica:
The Sky Above The Clouds. CoRR abs/2205.07147 (2022)
Nicholas Rhinehart, Jeff He, Charles Packer, Matthew A. Wright, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine:
Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models. CoRR abs/2104.10558 (2021)
David A. Patterson, Joseph Gonzalez, Urs Hölzle, Quoc V. Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, Jeff Dean:
The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink. CoRR abs/2204.05149 (2022)
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Paramvir Bahl, Ion Stoica:
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers. NSDI 2022: 119-135
Jingrong Chen, Hong Zhang, Wei Zhang, Liang Luo, Jeffrey S. Chase, Ion Stoica, Danyang Zhuo:
NetHint: White-Box Networking for Multi-Tenant Data Centers. NSDI 2022: 1327-1343
Ionel Gog, Sukrit Kalra, Peter Schafhalter, Joseph E. Gonzalez, Ion Stoica:
D3: a dynamic deadline-driven approach for building autonomous vehicles. EuroSys 2022: 453-471
Anurag Khandelwal, Yupeng Tang, Rachit Agarwal, Aditya Akella, Ion Stoica:
Jiffy: elastic far-memory for stateful serverless analytics. EuroSys 2022: 697-713
Wenshuo Guo, Kirthevasan Kandasamy, Joseph Gonzalez, Michael I. Jordan, Ion Stoica:
Learning Competitive Equilibria in Exchange Economies with Bandit Feedback. AISTATS 2022: 6200-6224
Vivian Fang, Lloyd Brown, William Lin, Wenting Zheng, Aurojit Panda, Raluca Ada Popa:
CostCO: An automatic cost modeling framework for secure multi-party computation. IACR Cryptol. ePrint Arch. 2022: 332 (2022)
Brijen Thananjeyan, Justin Kerr, Huang Huang, Joseph E. Gonzalez, Ken Goldberg:
All You Need is LUV: Unsupervised Collection of Labeled Images using Invisible UV Fluorescent Indicators. CoRR abs/2203.04566 (2022)
Frank Sifei Luan, Stephanie Wang, Samyukta Yagati, Sean Kim, Kenneth Lien, SangBin Cho, Eric Liang, Ion Stoica:
Exoshuffle: Large-Scale Shuffle at the Application Level. CoRR abs/2203.05072 (2022)
Sam Lau, Deborah Nolan, Joseph Gonzalez, Philip J. Guo:
How Computer Science and Statistics Instructors Approach Data Science Pedagogy Differently: Three Case Studies. SIGCSE (1) 2022: 29-35
Suzanne Petryk, Lisa Dunlap, Keyan Nasseri, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach:
On Guiding Visual Attention with Language Specification. CoRR abs/2202.08926 (2022)
Suyash Gupta, Sajjad Rahnama, Shubham Pandey, Natacha Crooks, Mohammad Sadoghi:
Dissecting BFT Consensus: In Trusted Components we Trust! CoRR abs/2202.01354 (2022)
Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer:
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 33(2): 473-493 (2022)
Lianmin Zheng, Zhuohan Li, Hao Zhang, Yonghao Zhuang, Zhifeng Chen, Yanping Huang, Yida Wang, Yuanzhong Xu, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica:
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning. CoRR abs/2201.12023 (2022)
Tianjun Zhang, Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine, Joseph E. Gonzalez:
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks. ICLR 2022
Bichen Wu, Ruizhe Cheng, Peizhao Zhang, Tianren Gao, Joseph E. Gonzalez, Peter Vajda:
Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation. ICLR 2022
Zhanghao Wu, Paras Jain, Matthew A. Wright, Azalia Mirhoseini, Joseph E. Gonzalez, Ion Stoica:
Representing Long-Range Context for Graph Neural Networks with Global Attention. CoRR abs/2201.08821 (2022)
Zongheng Yang, Wei-Lin Chiang, Sifei Luan, Gautam Mittal, Michael Luo, Ion Stoica:
Balsa: Learning a Query Optimizer Without Expert Demonstrations. CoRR abs/2201.01441 (2022)
Emma Dauterman, Mayank Rathee, Raluca Ada Popa, Ion Stoica:
Waldo: A Private Time-Series Database from Function Secret Sharing. IACR Cryptol. ePrint Arch. 2021: 1661 (2021)
Bichen Wu, Ruizhe Cheng, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez:
Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation. CoRR abs/2112.09445 (2021)
Zhengming Zhang, Yaoqing Yang, Zhewei Yao, Yujun Yan, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney:
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models. IEEE BigData 2021: 1214-1225
Hasan Genc, Seah Kim, Alon Amid, Ameer Haj-Ali, Vighnesh Iyer, Pranav Prakash, Jerry Zhao, Daniel Grubb, Harrison Liew, Howard Mao, Albert J. Ou, Colin Schmidt, Samuel Steffl, John Charles Wright, Ion Stoica, Jonathan Ragan-Kelley, Krste Asanovic, Borivoje Nikolic, Yakun Sophia Shao:
Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration. DAC 2021: 769-774
Alan Pham, Eunice Chan, Vikranth Srivatsa, Dhruba Ghosh, Yaoqing Yang, Yaodong Yu, Ruiqi Zhong, Joseph E. Gonzalez, Jacob Steinhardt:
The Effect of Model Size on Worst-Group Generalization. CoRR abs/2112.04094 (2021)
Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg:
Accelerating Quadratic Optimization with Reinforcement Learning. NeurIPS 2021: 21043-21055
Charles Packer, Pieter Abbeel, Joseph E. Gonzalez:
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL. NeurIPS 2021: 2466-2477
Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian:
NovelD: A Simple yet Effective Exploration Criterion. NeurIPS 2021: 25217-25230
Lianmin Zheng, Ruochen Liu, Junru Shao, Tianqi Chen, Joseph Gonzalez, Ion Stoica, Ameer Haj-Ali:
TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers. NeurIPS Datasets and Benchmarks 2021
Charles Packer, Pieter Abbeel, Joseph E. Gonzalez:
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL. CoRR abs/2112.00901 (2021)
Weikeng Chen, Katerina Sotiraki, Ian Chang, Murat Kantarcioglu, Raluca Ada Popa:
HOLMES: A Platform for Detecting Malicious Inputs in Secure Collaborative Computation. IACR Cryptol. ePrint Arch. 2021: 1517 (2021)
Rohan Bavishi, Shadaj Laddad, Hiroaki Yoshida, Mukul R. Prasad, Koushik Sen:
VizSmith: Automated Visualization Synthesis by Mining Data-Science Notebooks. ASE 2021: 129-141
Yaoqing Yang, Liam Hodgkinson, Ryan Theisen, Joe Zou, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney:
Taxonomizing local versus global structure in neural network loss landscapes. NeurIPS 2021: 18722-18733
Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph Gonzalez, Ion Stoica:
Contrastive Code Representation Learning. EMNLP (1) 2021: 5954-5971
Yu Gai, Paras Jain, Wendi Zhang, Joseph E. Gonzalez, Dawn Song, Ion Stoica:
Grounded Graph Decoding Improves Compositional Generalization in Question Answering. CoRR abs/2111.03642 (2021)
Lisa Dunlap, Kirthevasan Kandasamy, Ujval Misra, Richard Liaw, Michael I. Jordan, Ion Stoica, Joseph E. Gonzalez:
Elastic Hyperparameter Tuning on the Cloud. SoCC 2021: 33-46
Devin Petersohn, Dixin Tang, Rehan Sohail Durrani, Areg Melik-Adamyan, Joseph Gonzalez, Anthony D. Joseph, Aditya G. Parameswaran:
Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System. Proc. VLDB Endow. 15(3): 739-751 (2021)
Yu Gai, Paras Jain, Wendi Zhang, Joseph Gonzalez, Dawn Song, Ion Stoica:
Grounded Graph Decoding improves Compositional Generalization in Question Answering. EMNLP (Findings) 2021: 1829-1838
Florian Suri-Payer, Matthew Burke, Zheng Wang, Yunhao Zhang, Lorenzo Alvisi, Natacha Crooks:
Basil: Breaking up BFT with ACID (transactions). SOSP 2021: 1-17
Emma Dauterman, Vivian Fang, Ioannis Demertzis, Natacha Crooks, Raluca Ada Popa:
Snoopy: Surpassing the Scalability Bottleneck of Oblivious Storage. SOSP 2021: 655-671
Tianjun Zhang, Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine, Joseph E. Gonzalez:
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks. CoRR abs/2110.12080 (2021)
Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell:
Robust Object Detection via Instance-Level Temporal Cycle Confusion. ICCV 2021: 9123-9132
Rohan Bavishi, Caroline Lemieux, Koushik Sen, Ion Stoica:
Gauss: program synthesis by reasoning over graphs. Proc. ACM Program. Lang. 5(OOPSLA): 1-29 (2021)
Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph Gonzalez, Kurt Keutzer, Peter Vajda:
Visual Transformers: Where Do Transformers Really Belong in Vision Models? ICCV 2021: 579-589
Neil Giridharan, Heidi Howard, Ittai Abraham, Natacha Crooks, Alin Tomescu:
No-Commit Proofs: Defeating Livelock in BFT. IACR Cryptol. ePrint Arch. 2021: 1308 (2021)
Vainavi Viswanath, Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Ellen R. Novoseller, Jeffrey Ichnowski, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg:
Disentangling Dense Multi-Cable Knots. IROS 2021: 3731-3738
Florian Suri-Payer, Matthew Burke, Zheng Wang, Yunhao Zhang, Lorenzo Alvisi, Natacha Crooks:
Basil: Breaking up BFT with ACID (transactions). CoRR abs/2109.12443 (2021)
Emma Dauterman, Vivian Fang, Ioannis Demertzis, Natacha Crooks, Raluca Ada Popa:
Snoopy: Surpassing the Scalability Bottleneck of Oblivious Storage. IACR Cryptol. ePrint Arch. 2021: 1280 (2021)
Albert Wilcox, Ashwin Balakrishna, Brijen Thananjeyan, Joseph E. Gonzalez, Ken Goldberg:
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks. CoRL 2021: 959-969
Audrey Cheng, Xiao Shi, Aaron N. Kabcenell, Shilpa Lawande, Hamza Qadeer, Jason Chan, Harrison Tin, Ryan Zhao, Peter Bailis, Mahesh Balakrishnan, Nathan Bronson, Natacha Crooks, Ion Stoica:
TAOBench: An End-to-End Benchmark for Social Networking Workloads. Proc. VLDB Endow. 15(9): 1965-1977 (2022)
Michael J. Whittaker, Neil Giridharan, Adriana Szekeres, Joseph M. Hellerstein, Heidi Howard, Faisal Nawab, Ion Stoica:
[Solution] Matchmaker Paxos: A Reconfigurable Consensus Protocol. J. Syst. Res. 1(1) (2021)
Michael J. Whittaker, Neil Giridharan, Adriana Szekeres, Joseph M. Hellerstein, Ion Stoica:
SoK: A Generalized Multi-Leader State Machine Replication Tutorial. J. Syst. Res. 1(1) (2021)
Neil Kulkarni, Caroline Lemieux, Koushik Sen:
Learning Highly Recursive Input Grammars. CoRR abs/2108.13340 (2021)
Kaiyuan Chen, Yafei Liang, Nikhil Jha, Jeffrey Ichnowski, Michael Danielczuk, Joseph Gonzalez, John Kubiatowicz, Ken Goldberg:
FogROS: An Adaptive Framework for Automating Fog Robotics Deployment. CASE 2021: 2035-2042
Kaiyuan Chen, Yafei Liang, Nikhil Jha, Jeffrey Ichnowski, Michael Danielczuk, Joseph Gonzalez, John Kubiatowicz, Ken Goldberg:
FogROS: An Adaptive Framework for Automating Fog Robotics Deployment. CoRR abs/2108.11355 (2021)
Daniel Rothchild, Alex Tamkin, Julie Yu, Ujval Misra, Joseph Gonzalez:
C5T5: Controllable Generation of Organic Molecules with Transformers. CoRR abs/2108.10307 (2021)
Hao Zhang, Zhuohan Li, Lianmin Zheng, Ion Stoica:
Simple and Automatic Distributed Machine Learning on Ray. KDD 2021: 4094-4095
Jessica Chen, Henry Milner, Ion Stoica, Jibin Zhan:
Benchmark of Bitrate Adaptation in Video Streaming. ACM J. Data Inf. Qual. 13(4): 22:1-22:24 (2021)
Wenting Zheng, Ryan Deng, Weikeng Chen, Raluca Ada Popa, Aurojit Panda, Ion Stoica:
Cerebro: A Platform for Multi-Party Cryptographic Collaborative Learning. USENIX Security Symposium 2021: 2723-2740
Rishabh Poddar, Sukrit Kalra, Avishay Yanai, Ryan Deng, Raluca Ada Popa, Joseph M. Hellerstein:
Senate: A Maliciously-Secure MPC Platform for Collaborative Analytics. USENIX Security Symposium 2021: 2129-2146
Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica:
Hoplite: efficient and fault-tolerant collective communication for task-based distributed systems. SIGCOMM 2021: 641-656
Yaoqing Yang, Liam Hodgkinson, Ryan Theisen, Joe Zou, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney:
Taxonomizing local versus global structure in neural network loss landscapes. CoRR abs/2107.11228 (2021)
Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg:
Accelerating Quadratic Optimization with Reinforcement Learning. CoRR abs/2107.10847 (2021)
Jianfei Chen, Lianmin Zheng, Zhewei Yao, Dequan Wang, Ion Stoica, Michael W. Mahoney, Joseph Gonzalez:
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training. ICML 2021: 1803-1813
Zhuohan Li, Siyuan Zhuang, Shiyuan Guo, Danyang Zhuo, Hao Zhang, Dawn Song, Ion Stoica:
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models. ICML 2021: 6543-6552
Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Jeffrey Ichnowski, Ellen R. Novoseller, Minho Hwang, Michael Laskey, Joseph Gonzalez, Ken Goldberg:
Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies. Robotics: Science and Systems 2021
Albert Wilcox, Ashwin Balakrishna, Brijen Thananjeyan, Joseph E. Gonzalez, Ken Goldberg:
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Iterative Tasks. CoRR abs/2107.04775 (2021)
Michael J. Whittaker, Ailidani Ailijiang, Aleksey Charapko, Murat Demirbas, Neil Giridharan, Joseph M. Hellerstein, Heidi Howard, Ion Stoica, Adriana Szekeres:
Scaling Replicated State Machines with Compartmentalization. Proc. VLDB Endow. 14(11): 2203-2215 (2021)
Ruizhe Cheng, Bichen Wu, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez:
Data-Efficient Language-Supervised Zero-Shot Learning With Self-Distillation. CVPR Workshops 2021: 3119-3124
Ruizhe Cheng, Bichen Wu, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez:
Data-Efficient Language-Supervised Zero-Shot Learning With Self-Distillation. CVPR Workshops 2021: 3119-3124
Natacha Crooks:
A Client-centric Approach to Transactional Datastores. SIGMOD Conference 2021: 3-5
Abdus Salam Azad, Edward Kim, Qiancheng Wu, Kimin Lee, Ion Stoica, Pieter Abbeel, Sanjit A. Seshia:
Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments. CoRR abs/2106.10365 (2021)
Robert Avram, Jeffrey E. Olgin, Alvin Wan, Zeeshan Ahmed, Louis Verreault-Julien, Sean Abreau, Derek Wan, Joseph E. Gonzalez, Derek Y. So, Krishan Soni, Geoffrey H. Tison:
CathAI: Fully Automated Interpretation of Coronary Angiograms Using Neural Networks. CoRR abs/2106.07708 (2021)
Wenting Zheng, Ryan Deng, Weikeng Chen, Raluca Ada Popa, Aurojit Panda, Ion Stoica:
Cerebro: A Platform for Multi-Party Cryptographic Collaborative Learning. IACR Cryptol. ePrint Arch. 2021: 759 (2021)
Samuel Paradis, Minho Hwang, Brijen Thananjeyan, Jeffrey Ichnowski, Daniel Seita, Danyal Fer, Thomas Low, Joseph E. Gonzalez, Ken Goldberg:
Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation. ICRA 2021: 7166-7173
Vainavi Viswanath, Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Ellen R. Novoseller, Jeffrey Ichnowski, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg:
Disentangling Dense Multi-Cable Knots. CoRR abs/2106.02252 (2021)
Ion Stoica, Scott Shenker:
From cloud computing to sky computing. HotOS 2021: 26-32
Stephanie Wang, Benjamin Hindman, Ion Stoica:
In reference to RPC: it's time to add distributed memory. HotOS 2021: 191-198
Nathan Pemberton, Johann Schleier-Smith, Joseph E. Gonzalez:
The RESTless cloud. HotOS 2021: 49-57
Matthew A. Wright, Joseph E. Gonzalez:
Transformers are Deep Infinite-Dimensional Non-Mercer Binary Kernel Machines. CoRR abs/2106.01506 (2021)
Raghav Anand, Jeffrey Ichnowski, Chenggang Wu, Joseph M. Hellerstein, Joseph E. Gonzalez, Ken Goldberg:
Serverless Multi-Query Motion Planning for Fog Robotics. ICRA 2021: 7457-7463
Nicholas Rhinehart, Jeff He, Charles Packer, Matthew A. Wright, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine:
Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models. ICRA 2021: 13663-13669
Vasudev Vikram, Rohan Padhye, Koushik Sen:
Growing A Test Corpus with Bonsai Fuzzing. ICSE 2021: 723-735
Aditya Ganapathi, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Daniel Seita, Jennifer Grannen, Minho Hwang, Ryan Hoque, Joseph E. Gonzalez, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg:
Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics. ICRA 2021: 11515-11522
Yuncong Hu, Kian Hooshmand, Harika Kalidhindi, Seung Jin Yang, Raluca Ada Popa:
Merkle2: A Low-Latency Transparency Log System. IEEE Symposium on Security and Privacy 2021: 285-303
Hari Balakrishnan, Sujata Banerjee, Israel Cidon, David E. Culler, Deborah Estrin, Ethan Katz-Bassett, Arvind Krishnamurthy, James Murphy McCauley, Nick McKeown, Aurojit Panda, Sylvia Ratnasamy, Jennifer Rexford, Michael Schapira, Scott Shenker, Ion Stoica, David L. Tennenhouse, Amin Vahdat, Ellen W. Zegura:
Revitalizing the public internet by making it extensible. Comput. Commun. Rev. 51(2): 18-24 (2021)
Jianfei Chen, Lianmin Zheng, Zhewei Yao, Dequan Wang, Ion Stoica, Michael W. Mahoney, Joseph E. Gonzalez:
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training. CoRR abs/2104.14129 (2021)
Johann Schleier-Smith, Vikram Sreekanti, Anurag Khandelwal, João Carreira, Neeraja Jayant Yadwadkar, Raluca Ada Popa, Joseph E. Gonzalez, Ion Stoica, David A. Patterson:
What serverless computing is and should become: the next phase of cloud computing. Commun. ACM 64(5): 76-84 (2021)
David A. Patterson, Joseph Gonzalez, Quoc V. Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, Jeff Dean:
Carbon Emissions and Large Neural Network Training. CoRR abs/2104.10350 (2021)
Ujval Misra, Richard Liaw, Lisa Dunlap, Romil Bhardwaj, Kirthevasan Kandasamy, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov:
RubberBand: cloud-based hyperparameter tuning. EuroSys 2021: 327-342
Ruizhe Cheng, Bichen Wu, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez:
Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation. CoRR abs/2104.08945 (2021)
Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell:
Robust Object Detection via Instance-Level Temporal Cycle Confusion. CoRR abs/2104.08381 (2021)
Hong Zhang, Yupeng Tang, Anurag Khandelwal, Jingrong Chen, Ion Stoica:
Caerus: NIMBLE Task Scheduling for Serverless Analytics. NSDI 2021: 653-669
Stephanie Wang, Eric Liang, Edward Oakes, Benjamin Hindman, Frank Sifei Luan, Audrey Cheng, Ion Stoica:
Ownership: A Distributed Futures System for Fine-Grained Tasks. NSDI 2021: 671-686
Anand Padmanabha Iyer, Qifan Pu, Kishan Patel, Joseph E. Gonzalez, Ion Stoica:
TEGRA: Efficient Ad-Hoc Analytics on Evolving Graphs. NSDI 2021: 337-355
Zhuolong Yu, Jingfeng Wu, Vladimir Braverman, Ion Stoica, Xin Jin:
Twenty Years After: Hierarchical Core-Stateless Fair Queueing. NSDI 2021: 29-45
Alex Smola, Alex Dimakis, Ion Stoica:
Proceedings of Machine Learning and Systems 2021, MLSys 2021, virtual, April 5-9, 2021. mlsys.org 2021 [contents]
Guanhua Wang, Zhuang Liu, Brandon Hsieh, Siyuan Zhuang, Joseph Gonzalez, Trevor Darrell, Ion Stoica:
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data. MLSys 2021
Guanhua Wang, Kehan Wang, Kenan Jiang, Xiangjun Li, Ion Stoica:
Wavelet: Efficient DNN Training with Tick-Tock Scheduling. MLSys 2021
Brijen Thananjeyan, Ashwin Balakrishna, Suraj Nair, Michael Luo, Krishnan Srinivasan, Minho Hwang, Joseph E. Gonzalez, Julian Ibarz, Chelsea Finn, Ken Goldberg:
Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones. IEEE Robotics Autom. Lett. 6(3): 4915-4922 (2021)
Vasudev Vikram, Rohan Padhye, Koushik Sen:
Growing a Test Corpus with Bonsai Fuzzing. CoRR abs/2103.04388 (2021)
Doris Xin, Devin Petersohn, Dixin Tang, Yifan Wu, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran:
Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time. CoRR abs/2103.02145 (2021)
Doris Xin, Devin Petersohn, Dixin Tang, Yifan Wu, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran:
Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time. IEEE Data Eng. Bull. 44(1): 66-78 (2021)
Zhuohan Li, Siyuan Zhuang, Shiyuan Guo, Danyang Zhuo, Hao Zhang, Dawn Song, Ion Stoica:
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models. CoRR abs/2102.07988 (2021)
Brijen Thananjeyan, Ashwin Balakrishna, Ugo Rosolia, Joseph E. Gonzalez, Aaron D. Ames, Ken Goldberg:
ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions. WAFR 2021: 1-17
Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell:
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting. ICLR 2021
Caroline Lemieux, Koushik Sen:
FairFuzz-TC: a fuzzer targeting rare branches. Int. J. Softw. Tools Technol. Transf. 23(6): 863-866 (2021)
Neil Kulkarni, Caroline Lemieux, Koushik Sen:
Learning Highly Recursive Input Grammars. ASE 2021: 456-467
Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian:
Learning Space Partitions for Path Planning. NeurIPS 2021: 378-391
Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian:
Learning Space Partitions for Path Planning. CoRR abs/2106.10544 (2021)
Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph Gonzalez, Stuart Russell:
MADE: Exploration via Maximizing Deviation from Explored Regions. CoRR abs/2106.10268 (2021)
Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph E. Gonzalez, Stuart Russell:
MADE: Exploration via Maximizing Deviation from Explored Regions. NeurIPS 2021: 9663-9680
Sam Kumar, David E. Culler, Raluca Ada Popa:
MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation. CoRR abs/2106.14651 (2021)
Sam Kumar, David E. Culler, Raluca Ada Popa:
MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation. OSDI 2021: 367-385
Yuncong Hu, Kian Hooshmand, Harika Kalidhindi, Seung Jin Yang, Raluca Ada Popa:
Merkle^2: A Low-Latency Transparency Log System. IACR Cryptol. ePrint Arch. 2021: 453 (2021)
Michael Luo, Ashwin Balakrishna, Brijen Thananjeyan, Suraj Nair, Julian Ibarz, Jie Tan, Chelsea Finn, Ion Stoica, Ken Goldberg:
MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance. CoRR abs/2112.03575 (2021)
Ryan Lehmkuhl, Pratyush Mishra, Akshayaram Srinivasan, Raluca Ada Popa:
MUSE: Secure Inference Resilient to Malicious Clients. IACR Cryptol. ePrint Arch. 2021: 1040 (2021)
Ryan Lehmkuhl, Pratyush Mishra, Akshayaram Srinivasan, Raluca Ada Popa:
Muse: Secure Inference Resilient to Malicious Clients. USENIX Security Symposium 2021: 2201-2218
Weikeng Chen, Ryan Deng, Raluca Ada Popa:
N-for-1 Auth: N-wise Decentralized Authentication via One Authentication. IACR Cryptol. ePrint Arch. 2021: 342 (2021)
Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez:
NBDT: Neural-Backed Decision Tree. ICLR 2021
Alvin Cheung, Natacha Crooks, Joseph M. Hellerstein, Mae Milano:
New Directions in Cloud Programming. CoRR abs/2101.01159 (2021)
Alvin Cheung, Natacha Crooks, Joseph M. Hellerstein, Mae Milano:
New Directions in Cloud Programming. CIDR 2021
Jeongseok Son, Griffin Prechter, Rishabh Poddar, Raluca Ada Popa, Koushik Sen:
ObliCheck: Efficient Verification of Oblivious Algorithms with Unobservable State. USENIX Security Symposium 2021: 2219-2236
Wenshuo Guo, Kirthevasan Kandasamy, Joseph E. Gonzalez, Michael I. Jordan, Ion Stoica:
Online Learning of Competitive Equilibria in Exchange Economies. CoRR abs/2106.06616 (2021)
Brijen Thananjeyan, Kirthevasan Kandasamy, Ion Stoica, Michael I. Jordan, Ken Goldberg, Joseph E. Gonzalez:
PAC Best Arm Identification Under a Deadline. CoRR abs/2106.03221 (2021)
Ionel Gog, Sukrit Kalra, Peter Schafhalter, Matthew A. Wright, Joseph E. Gonzalez, Ion Stoica:
Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles. CoRR abs/2104.07830 (2021)
Ionel Gog, Sukrit Kalra, Peter Schafhalter, Matthew A. Wright, Joseph E. Gonzalez, Ion Stoica:
Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles. ICRA 2021: 8806-8813
Ed Younis, Koushik Sen, Katherine A. Yelick, Costin Iancu:
QFAST: Conflating Search and Numerical Optimization for Scalable Quantum Circuit Synthesis. QCE 2021: 232-243
Audrey Cheng, Xiao Shi, Lu Pan, Anthony Simpson, Neil Wheaton, Shilpa Lawande, Nathan Bronson, Peter Bailis, Natacha Crooks, Ion Stoica:
RAMP-TAO: Layering Atomic Transactions on Facebook's Online TAO Data Store. Proc. VLDB Endow. 14(12): 3014-3027 (2021)
Michael J. Whittaker, Aleksey Charapko, Joseph M. Hellerstein, Heidi Howard, Ion Stoica:
Read-Write Quorum Systems Made Practical. CoRR abs/2104.04102 (2021)
Michael J. Whittaker, Aleksey Charapko, Joseph M. Hellerstein, Heidi Howard, Ion Stoica:
Read-Write Quorum Systems Made Practical. PaPoC@EuroSys 2021: 7:1-7:8
Danyang Zhuo, Kaiyuan Zhang, Zhuohan Li, Siyuan Zhuang, Stephanie Wang, Ang Chen, Ion Stoica:
Rearchitecting In-Memory Object Stores for Low Latency. Proc. VLDB Endow. 15(3): 555-568 (2021)
Zhanghao Wu, Paras Jain, Matthew A. Wright, Azalia Mirhoseini, Joseph E. Gonzalez, Ion Stoica:
Representing Long-Range Context for Graph Neural Networks with Global Attention. NeurIPS 2021: 13266-13279
Brijen Thananjeyan, Kirthevasan Kandasamy, Ion Stoica, Michael I. Jordan, Ken Goldberg, Joseph Gonzalez:
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism. ICML 2021: 10236-10246
Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Joseph E. Gonzalez, Ion Stoica:
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem. NeurIPS 2021: 5506-5517