Publications

Proceedings of the 19th Workshop on Hot Topics in Operating Systems, HOTOS 2023, Providence, RI, USA, June 22-24, 2023.

Malte SchwarzkopfAndrew BaumannNatacha Crooks: Proceedings of the 19th Workshop on Hot Topics in Operating Systems, HOTOS 2023, Providence, RI, USA, June 22-24, 2023. ACM 2023 [contents]

DBLP link: https://dblp.org/rec/conf/hotos/2023

MPCAuth: Multi-factor Authentication for Distributed-trust Systems.

Sijun TanWeikeng ChenRyan DengRaluca Ada Popa: MPCAuth: Multi-factor Authentication for Distributed-trust Systems. SP 2023: 829-847

DBLP link: https://dblp.org/rec/conf/sp/TanCDP23

The Wisdom of Hindsight Makes Language Models Better Instruction Followers.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2302-05206

Exoshuffle-CloudSort.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2301-03734

2022

Kernel-as-a-Service: A Serverless Interface to GPUs.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2212-08146

ELSA: Secure Aggregation for Federated Learning with Malicious Actors.

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)

DBLP link: https://dblp.org/rec/journals/iacr/RatheeSWP22

Benchmarking Language Models for Code Syntax Understanding.

Da Shen, Xinyun Chen, Chenguang Wang, Koushik Sen, Dawn Song: Benchmarking Language Models for Code Syntax Understanding. EMNLP (Findings) 2022: 3071-3093

DBLP link: https://dblp.org/rec/conf/emnlp/ShenCWSS22

Keep CALM and CRDT On.

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)

DBLP link: https://dblp.org/rec/journals/pvldb/LaddadPMCCH22

Global perspectives of diversity, equity, and inclusion.

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)

DBLP link: https://dblp.org/rec/journals/cacm/BarrosoCGOPSP22

Multitask Vision-Language Prompt Tuning.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2211-11720

Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly.

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

DBLP link: https://dblp.org/rec/conf/eccv/WhiteheadPS0DRR22

LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity.

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

DBLP link: https://dblp.org/rec/conf/eccv/GubriCPTS22

All You Need is LUV: Unsupervised Collection of Labeled Images Using UV-Fluorescent Markings.

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

DBLP link: https://dblp.org/rec/conf/iros/ThananjeyanKHGG22

Benchmarking Language Models for Code Syntax Understanding.

Da Shen, Xinyun Chen, Chenguang Wang, Koushik Sen, Dawn Song: Benchmarking Language Models for Code Syntax Understanding. CoRR abs/2210.14473 (2022)

DBLP link: https://dblp.org/rec/journals/corr/abs-2210-14473

Context-Aware Streaming Perception in Dynamic Environments.

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

DBLP link: https://dblp.org/rec/conf/eccv/SelaGWAMKSLWBGS22

Keep CALM and CRDT On.

Shadaj Laddad, Conor Power, Mae Milano, Alvin Cheung, Natacha Crooks, Joseph M. Hellerstein: Keep CALM and CRDT On. CoRR abs/2210.12605 (2022)

DBLP link: https://dblp.org/rec/journals/corr/abs-2210-12605

CLUTR: Curriculum Learning via Unsupervised Task Representation Learning.

Abdus Salam Azad, Izzeddin Gur, Aleksandra Faust, Pieter Abbeel, Ion Stoica: CLUTR: Curriculum Learning via Unsupervised Task Representation Learning. CoRR abs/2210.10243 (2022)

DBLP link: https://dblp.org/rec/journals/corr/abs-2210-10243

Brief Announcement: It's not easy to relax: liveness in chained BFT protocols.

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

DBLP link: https://dblp.org/rec/conf/wdag/AbrahamCGHS22

Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2210-07259

Spectral Decomposition Representation for Reinforcement Learning.

Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai: Spectral Decomposition Representation for Reinforcement Learning. CoRR abs/2208.09515 (2022)

DBLP link: https://dblp.org/rec/journals/corr/abs-2208-09515

Context-Aware Streaming Perception in Dynamic Environments.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2208-07479

Piranha: A GPU Platform for Secure Computation.

Jean-Luc Watson, Sameer Wagh, Raluca Ada Popa: Piranha: A GPU Platform for Secure Computation. USENIX Security Symposium 2022: 827-844

DBLP link: https://dblp.org/rec/conf/uss/WatsonWP22

LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2207-13129

ESCHER: expressive scheduling with ephemeral resources.

Romil Bhardwaj, Alexey Tumanov, Stephanie Wang, Richard Liaw, Philipp Moritz, Robert Nishihara, Ion Stoica: ESCHER: expressive scheduling with ephemeral resources. SoCC 2022: 47-62

DBLP link: https://dblp.org/rec/conf/cloud/BhardwajTWLMNS22

Making Linear MDPs Practical via Contrastive Representation Learning.

Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph Gonzalez, Dale Schuurmans, Bo Dai: Making Linear MDPs Practical via Contrastive Representation Learning. ICML 2022: 26447-26466

DBLP link: https://dblp.org/rec/conf/icml/ZhangRYGSD22

Autonomously Untangling Long Cables.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2207-07813

Making Linear MDPs Practical via Contrastive Representation Learning.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2207-07150

Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning.

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

DBLP link: https://dblp.org/rec/conf/osdi/ZhengLZZCHWXZXG22

Piranha: A GPU Platform for Secure Computation.

Jean-Luc Watson, Sameer Wagh, Raluca Ada Popa: Piranha: A GPU Platform for Secure Computation. IACR Cryptol. ePrint Arch. 2022: 892 (2022)

DBLP link: https://dblp.org/rec/journals/iacr/WatsonWP22

Treaty: Secure Distributed Transactions.

Dimitra Giantsidi, Maurice Bailleu, Natacha Crooks, Pramod Bhatotia: Treaty: Secure Distributed Transactions. DSN 2022: 14-27

DBLP link: https://dblp.org/rec/conf/dsn/GiantsidiBCB22

Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2202-02842

CostCO: An automatic cost modeling framework for secure multi-party computation.

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

DBLP link: https://dblp.org/rec/conf/eurosp/FangBLZPP22

Balsa: Learning a Query Optimizer Without Expert Demonstrations.

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

DBLP link: https://dblp.org/rec/conf/sigmod/YangC0MLS22

It's not easy to relax: liveness in chained BFT protocols.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2205-11652

rgpdOS: GDPR Enforcement By The Operating System.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2205-10929

Efficient and transferable adversarial examples from bayesian neural networks.

Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen: Efficient and transferable adversarial examples from bayesian neural networks. UAI 2022: 738-748

DBLP link: https://dblp.org/rec/conf/uai/GubriCPTS22

FogROS 2: An Adaptive and Extensible Platform for Cloud and Fog Robotics Using ROS 2.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2205-09778

Learning to Design Accurate Deep Learning Accelerators with Inaccurate Multipliers.

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

DBLP link: https://dblp.org/rec/conf/date/JainHMGSM22

Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers.

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

DBLP link: https://dblp.org/rec/conf/nsdi/BhardwajXAJSKHB22

D3: a dynamic deadline-driven approach for building autonomous vehicles.

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

DBLP link: https://dblp.org/rec/conf/eurosys/GogKSGS22

Jiffy: elastic far-memory for stateful serverless analytics.

Anurag Khandelwal, Yupeng Tang, Rachit Agarwal, Aditya Akella, Ion Stoica: Jiffy: elastic far-memory for stateful serverless analytics. EuroSys 2022: 697-713

DBLP link: https://dblp.org/rec/conf/eurosys/KhandelwalT0AS22

Learning Competitive Equilibria in Exchange Economies with Bandit Feedback.

Wenshuo Guo, Kirthevasan Kandasamy, Joseph Gonzalez, Michael I. Jordan, Ion Stoica: Learning Competitive Equilibria in Exchange Economies with Bandit Feedback. AISTATS 2022: 6200-6224

DBLP link: https://dblp.org/rec/conf/aistats/GuoK0JS22

CostCO: An automatic cost modeling framework for secure multi-party computation.

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)

DBLP link: https://dblp.org/rec/journals/iacr/FangBLZPP22

All You Need is LUV: Unsupervised Collection of Labeled Images using Invisible UV Fluorescent Indicators.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2203-04566

Exoshuffle: Large-Scale Shuffle at the Application Level.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2203-05072

How Computer Science and Statistics Instructors Approach Data Science Pedagogy Differently: Three Case Studies.

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

DBLP link: https://dblp.org/rec/conf/sigcse/LauNGG21

On Guiding Visual Attention with Language Specification.

Suzanne Petryk, Lisa Dunlap, Keyan Nasseri, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach: On Guiding Visual Attention with Language Specification. CoRR abs/2202.08926 (2022)

DBLP link: https://dblp.org/rec/journals/corr/abs-2202-08926

Dissecting BFT Consensus: In Trusted Components we Trust!

Suyash Gupta, Sajjad Rahnama, Shubham Pandey, Natacha Crooks, Mohammad Sadoghi: Dissecting BFT Consensus: In Trusted Components we Trust! CoRR abs/2202.01354 (2022)

DBLP link: https://dblp.org/rec/journals/corr/abs-2202-01354

A Review of Single-Source Deep Unsupervised Visual Domain Adaptation.

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)

DBLP link: https://dblp.org/rec/journals/tnn/ZhaoYZLZWKGSSK22

Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2201-12023

C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks.

Tianjun Zhang, Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine, Joseph E. Gonzalez: C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks. ICLR 2022

DBLP link: https://dblp.org/rec/conf/iclr/ZhangESLG22

Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation.

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

DBLP link: https://dblp.org/rec/conf/iclr/WuCZGGV22

Representing Long-Range Context for Graph Neural Networks with Global Attention.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2201-08821

Balsa: Learning a Query Optimizer Without Expert Demonstrations.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2201-01441

2021

Waldo: A Private Time-Series Database from Function Secret Sharing.

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)

DBLP link: https://dblp.org/rec/journals/iacr/DautermanRPS21

Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models.

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

DBLP link: https://dblp.org/rec/conf/bigdataconf/ZhangYYYGRM21

NovelD: A Simple yet Effective Exploration Criterion.

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

DBLP link: https://dblp.org/rec/conf/nips/ZhangXWWKGT21

Taxonomizing local versus global structure in neural network loss landscapes.

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

DBLP link: https://dblp.org/rec/conf/nips/YangHTZGRM21

Grounded Graph Decoding improves Compositional Generalization in Question Answering.

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

DBLP link: https://dblp.org/rec/conf/emnlp/Gai0Z0SS21

Snoopy: Surpassing the Scalability Bottleneck of Oblivious Storage.

Emma Dauterman, Vivian Fang, Ioannis Demertzis, Natacha Crooks, Raluca Ada Popa: Snoopy: Surpassing the Scalability Bottleneck of Oblivious Storage. SOSP 2021: 655-671

DBLP link: https://dblp.org/rec/conf/sosp/DautermanFDCP21

No-Commit Proofs: Defeating Livelock in BFT.

Neil Giridharan, Heidi Howard, Ittai Abraham, Natacha Crooks, Alin Tomescu: No-Commit Proofs: Defeating Livelock in BFT. IACR Cryptol. ePrint Arch. 2021: 1308 (2021)

DBLP link: https://dblp.org/rec/journals/iacr/GiridharanHACT21

Disentangling Dense Multi-Cable Knots.

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

DBLP link: https://dblp.org/rec/conf/iros/ViswanathGSTBNI21

Basil: Breaking up BFT with ACID (transactions).

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2109-12443

LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks.

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

DBLP link: https://dblp.org/rec/conf/corl/WilcoxBTGG21

2022

TAOBench: An End-to-End Benchmark for Social Networking Workloads.

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)

DBLP link: https://dblp.org/rec/journals/pvldb/ChengSKLQCTZBBB22

2021

Learning Highly Recursive Input Grammars.

Neil Kulkarni, Caroline Lemieux, Koushik Sen: Learning Highly Recursive Input Grammars. CoRR abs/2108.13340 (2021)

DBLP link: https://dblp.org/rec/journals/corr/abs-2108-13340

FogROS: An Adaptive Framework for Automating Fog Robotics Deployment.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2108-11355

Senate: A Maliciously-Secure MPC Platform for Collaborative Analytics.

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

DBLP link: https://dblp.org/rec/conf/uss/PoddarKYDPH21

Accelerating Quadratic Optimization with Reinforcement Learning.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2107-10847

TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models.

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

DBLP link: https://dblp.org/rec/conf/icml/LiZGZZSS21

LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Iterative Tasks.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2107-04775

A Client-centric Approach to Transactional Datastores.

Natacha Crooks: A Client-centric Approach to Transactional Datastores. SIGMOD Conference 2021: 3-5

DBLP link: https://dblp.org/rec/conf/sigmod/Crooks21

Disentangling Dense Multi-Cable Knots.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2106-02252

Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models.

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

DBLP link: https://dblp.org/rec/conf/icra/RhinehartHPWMGL21

Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics.

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

DBLP link: https://dblp.org/rec/conf/icra/GanapathiSTBSGH21

Merkle2: A Low-Latency Transparency Log System.

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

DBLP link: https://dblp.org/rec/conf/sp/HuHKYP21

What serverless computing is and should become: the next phase of cloud computing.

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)

DBLP link: https://dblp.org/rec/journals/cacm/Schleier-SmithS21

Carbon Emissions and Large Neural Network Training.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2104-10350

RubberBand: cloud-based hyperparameter tuning.

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

DBLP link: https://dblp.org/rec/conf/eurosys/MisraLDBKGST21

Ownership: A Distributed Futures System for Fine-Grained Tasks.

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

DBLP link: https://dblp.org/rec/conf/nsdi/WangLOHLCS21

Proceedings of Machine Learning and Systems 2021, MLSys 2021, virtual, April 5-9, 2021.

Alex Smola, Alex Dimakis, Ion Stoica: Proceedings of Machine Learning and Systems 2021, MLSys 2021, virtual, April 5-9, 2021. mlsys.org 2021 [contents]

DBLP link: https://dblp.org/rec/conf/mlsys/2021

Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.

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)

DBLP link: https://dblp.org/rec/journals/ral/ThananjeyanBNLS21

ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions.

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

DBLP link: https://dblp.org/rec/conf/wafr/ThananjeyanBRGA21

2022

NetHint: White-Box Networking for Multi-Tenant Data Centers.

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

DBLP link: https://dblp.org/rec/conf/nsdi/0002ZZLCSZ22

Neurotoxin: Durable Backdoors in Federated Learning.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2206-10341

Neurotoxin: Durable Backdoors in Federated Learning.

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

DBLP link: https://dblp.org/rec/conf/icml/ZhangPSYMMR022

NumS: Scalable Array Programming for the Cloud.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2206-14276

On Guiding Visual Attention with Language Specification.

Suzanne Petryk, Lisa Dunlap, Keyan Nasseri, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach: On Guiding Visual Attention with Language Specification. CVPR 2022: 18071-18081

DBLP link: https://dblp.org/rec/conf/cvpr/PetrykDN0DR22

On Optimizing the Communication of Model Parallelism.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2211-05322

PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion.

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

DBLP link: https://dblp.org/rec/conf/emnlp/ShenWYHJS0S22

PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2210-13715

POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging.

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

DBLP link: https://dblp.org/rec/conf/icml/Patil0DS022

POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2207-07697

Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2209-03745

Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning.

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

DBLP link: https://dblp.org/rec/conf/aaai/AzadKWLSASS22

Reflections on trusting distributed trust.

Emma Dauterman, Vivian Fang, Natacha Crooks, Raluca Ada Popa: Reflections on trusting distributed trust. CoRR abs/2210.08127 (2022)

DBLP link: https://dblp.org/rec/journals/corr/abs-2210-08127

Reflections on trusting distributed trust.

Emma Dauterman, Vivian Fang, Natacha Crooks, Raluca Ada Popa: Reflections on trusting distributed trust. HotNets 2022: 38-45

DBLP link: https://dblp.org/rec/conf/hotnets/DautermanFCP22

Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2204-13631

Scaling up Trustless DNN Inference with Zero-Knowledge Proofs.

Daniel Kang, Tatsunori Hashimoto, Ion Stoica, Yi Sun: Scaling up Trustless DNN Inference with Zero-Knowledge Proofs. CoRR abs/2210.08674 (2022)

DBLP link: https://dblp.org/rec/journals/corr/abs-2210-08674

TEMPERA: Test-Time Prompting via Reinforcement Learning.

Tianjun Zhang, Xuezhi Wang, Denny Zhou, Dale Schuurmans, Joseph E. Gonzalez: TEMPERA: Test-Time Prompting via Reinforcement Learning. CoRR abs/2211.11890 (2022)

DBLP link: https://dblp.org/rec/journals/corr/abs-2211-11890

The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2204-05149

The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink.

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)

DBLP link: https://dblp.org/rec/journals/computer/PattersonGHLLMR22

The internet of things in a laptop: rapid prototyping for IoT applications with digibox.

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

DBLP link: https://dblp.org/rec/conf/hotnets/FuZRS22

The Seattle report on database research.

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)

DBLP link: https://dblp.org/rec/journals/cacm/AbadiAABBBBCCDD22

The Sky Above The Clouds.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2205-07147

Using Language to Extend to Unseen Domains.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2210-09520

Waldo: A Private Time-Series Database from Function Secret Sharing.

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

DBLP link: https://dblp.org/rec/conf/sp/DautermanRPS22

ZK-IMG: Attested Images via Zero-Knowledge Proofs to Fight Disinformation.

Daniel Kang, Tatsunori Hashimoto, Ion Stoica, Yi Sun: ZK-IMG: Attested Images via Zero-Knowledge Proofs to Fight Disinformation. CoRR abs/2211.04775 (2022)

DBLP link: https://dblp.org/rec/journals/corr/abs-2211-04775

2021

[Solution] Matchmaker Paxos: A Reconfigurable Consensus Protocol.

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)

DBLP link: https://dblp.org/rec/journals/jsys/WhittakerGSHHNS21

Accelerating Quadratic Optimization with Reinforcement Learning.

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

DBLP link: https://dblp.org/rec/conf/nips/IchnowskiJSBLBG21

ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training.

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

DBLP link: https://dblp.org/rec/conf/icml/ChenZYWSM021

ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2104-14129

Basil: Breaking up BFT with ACID (transactions).

Florian Suri-Payer, Matthew Burke, Zheng Wang, Yunhao Zhang, Lorenzo Alvisi, Natacha Crooks: Basil: Breaking up BFT with ACID (transactions). SOSP 2021: 1-17

DBLP link: https://dblp.org/rec/conf/sosp/Suri-Payer0WZAC21

Benchmark of Bitrate Adaptation in Video Streaming.

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)

DBLP link: https://dblp.org/rec/journals/jdiq/ChenMSZ21

C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2110-12080

C5T5: Controllable Generation of Organic Molecules with Transformers.

Daniel Rothchild, Alex Tamkin, Julie Yu, Ujval Misra, Joseph Gonzalez: C5T5: Controllable Generation of Organic Molecules with Transformers. CoRR abs/2108.10307 (2021)

DBLP link: https://dblp.org/rec/journals/corr/abs-2108-10307

Caerus: NIMBLE Task Scheduling for Serverless Analytics.

Hong Zhang, Yupeng Tang, Anurag Khandelwal, Jingrong Chen, Ion Stoica: Caerus: NIMBLE Task Scheduling for Serverless Analytics. NSDI 2021: 653-669

DBLP link: https://dblp.org/rec/conf/nsdi/ZhangTKCS21

CathAI: Fully Automated Interpretation of Coronary Angiograms Using Neural Networks.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2106-07708

Cerebro: A Platform for Multi-Party Cryptographic Collaborative Learning.

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

DBLP link: https://dblp.org/rec/conf/uss/ZhengDCPPS21

Cerebro: A Platform for Multi-Party Cryptographic Collaborative Learning.

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)

DBLP link: https://dblp.org/rec/journals/iacr/ZhengDCPPS21

Composing MPC with LQR and Neural Networks for Efficient and Stable Control.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2112-07238

Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2104-10558

Contrastive Code Representation Learning.

Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph Gonzalez, Ion Stoica: Contrastive Code Representation Learning. EMNLP (1) 2021: 5954-5971

DBLP link: https://dblp.org/rec/conf/emnlp/0001JZA0S21

Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2112-09445

Data-Efficient Language-Supervised Zero-Shot Learning With Self-Distillation.

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

DBLP link: https://dblp.org/rec/conf/cvpr/ChengWZVG21

Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2104-08945

Elastic Hyperparameter Tuning on the Cloud.

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

DBLP link: https://dblp.org/rec/conf/cloud/DunlapKMLJSG21

Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time.

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)

DBLP link: https://dblp.org/rec/journals/debu/XinPTWGHJP21

Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2103-02145

FairFuzz-TC: a fuzzer targeting rare branches.

Caroline Lemieux, Koushik Sen: FairFuzz-TC: a fuzzer targeting rare branches. Int. J. Softw. Tools Technol. Transf. 23(6): 863-866 (2021)

DBLP link: https://dblp.org/rec/journals/sttt/LemieuxS21

FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining.

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

DBLP link: https://dblp.org/rec/conf/cvpr/DaiWZWHWCTYVG21

Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System.

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)

DBLP link: https://dblp.org/rec/journals/pvldb/PetersohnTDMGJP21

FogROS: An Adaptive Framework for Automating Fog Robotics Deployment.

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

DBLP link: https://dblp.org/rec/conf/case/ChenLJIDGKG21

From cloud computing to sky computing.

Ion Stoica, Scott Shenker: From cloud computing to sky computing. HotOS 2021: 26-32

DBLP link: https://dblp.org/rec/conf/hotos/StoicaS21

Gauss: program synthesis by reasoning over graphs.

Rohan Bavishi, Caroline Lemieux, Koushik Sen, Ion Stoica: Gauss: program synthesis by reasoning over graphs. Proc. ACM Program. Lang. 5(OOPSLA): 1-29 (2021)

DBLP link: https://dblp.org/rec/journals/pacmpl/BavishiLSS21

Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration.

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

DBLP link: https://dblp.org/rec/conf/dac/GencKAHIPZGLMO021

Grounded Graph Decoding Improves Compositional Generalization in Question Answering.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2111-03642

Growing A Test Corpus with Bonsai Fuzzing.

Vasudev Vikram, Rohan Padhye, Koushik Sen: Growing A Test Corpus with Bonsai Fuzzing. ICSE 2021: 723-735

DBLP link: https://dblp.org/rec/conf/icse/VikramPS21

Growing a Test Corpus with Bonsai Fuzzing.

Vasudev Vikram, Rohan Padhye, Koushik Sen: Growing a Test Corpus with Bonsai Fuzzing. CoRR abs/2103.04388 (2021)

DBLP link: https://dblp.org/rec/journals/corr/abs-2103-04388

Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL.

Charles Packer, Pieter Abbeel, Joseph E. Gonzalez: Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL. NeurIPS 2021: 2466-2477

DBLP link: https://dblp.org/rec/conf/nips/PackerAG21

Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL.

Charles Packer, Pieter Abbeel, Joseph E. Gonzalez: Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL. CoRR abs/2112.00901 (2021)

DBLP link: https://dblp.org/rec/journals/corr/abs-2112-00901

HOLMES: A Platform for Detecting Malicious Inputs in Secure Collaborative Computation.

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)

DBLP link: https://dblp.org/rec/journals/iacr/ChenSCKP21

Hoplite: efficient and fault-tolerant collective communication for task-based distributed systems.

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

DBLP link: https://dblp.org/rec/conf/sigcomm/ZhuangLZWLNMS21

In reference to RPC: it's time to add distributed memory.

Stephanie Wang, Benjamin Hindman, Ion Stoica: In reference to RPC: it's time to add distributed memory. HotOS 2021: 191-198

DBLP link: https://dblp.org/rec/conf/hotos/WangHS21

Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation.

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

DBLP link: https://dblp.org/rec/conf/icra/ParadisHTISFLGG21

Learning Highly Recursive Input Grammars.

Neil Kulkarni, Caroline Lemieux, Koushik Sen: Learning Highly Recursive Input Grammars. ASE 2021: 456-467

DBLP link: https://dblp.org/rec/conf/kbse/KulkarniLS21

Learning Space Partitions for Path Planning.

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

DBLP link: https://dblp.org/rec/conf/nips/YangZCCSWGKT21

Learning Space Partitions for Path Planning.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2106-10544

MADE: Exploration via Maximizing Deviation from Explored Regions.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2106-10268

MADE: Exploration via Maximizing Deviation from Explored Regions.

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

DBLP link: https://dblp.org/rec/conf/nips/ZhangRJTGR21

MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation.

Sam Kumar, David E. Culler, Raluca Ada Popa: MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation. CoRR abs/2106.14651 (2021)

DBLP link: https://dblp.org/rec/journals/corr/abs-2106-14651

MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation.

Sam Kumar, David E. Culler, Raluca Ada Popa: MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation. OSDI 2021: 367-385

DBLP link: https://dblp.org/rec/conf/osdi/KumarCP21

Merkle^2: A Low-Latency Transparency Log System.

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)

DBLP link: https://dblp.org/rec/journals/iacr/HuHKYP21

MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2112-03575

MUSE: Secure Inference Resilient to Malicious Clients.

Ryan Lehmkuhl, Pratyush Mishra, Akshayaram Srinivasan, Raluca Ada Popa: MUSE: Secure Inference Resilient to Malicious Clients. IACR Cryptol. ePrint Arch. 2021: 1040 (2021)

DBLP link: https://dblp.org/rec/journals/iacr/LehmkuhlMSP21

Muse: Secure Inference Resilient to Malicious Clients.

Ryan Lehmkuhl, Pratyush Mishra, Akshayaram Srinivasan, Raluca Ada Popa: Muse: Secure Inference Resilient to Malicious Clients. USENIX Security Symposium 2021: 2201-2218

DBLP link: https://dblp.org/rec/conf/uss/LehmkuhlMSP21

N-for-1 Auth: N-wise Decentralized Authentication via One Authentication.

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)

DBLP link: https://dblp.org/rec/journals/iacr/ChenDP21

NBDT: Neural-Backed Decision Tree.

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

DBLP link: https://dblp.org/rec/conf/iclr/WanDHYLPBG21

New Directions in Cloud Programming.

Alvin Cheung, Natacha Crooks, Joseph M. Hellerstein, Mae Milano: New Directions in Cloud Programming. CoRR abs/2101.01159 (2021)

DBLP link: https://dblp.org/rec/journals/corr/abs-2101-01159

New Directions in Cloud Programming.

Alvin Cheung, Natacha Crooks, Joseph M. Hellerstein, Mae Milano: New Directions in Cloud Programming. CIDR 2021

DBLP link: https://dblp.org/rec/conf/cidr/CheungCHM21

ObliCheck: Efficient Verification of Oblivious Algorithms with Unobservable State.

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

DBLP link: https://dblp.org/rec/conf/uss/SonPPPS21

Online Learning of Competitive Equilibria in Exchange Economies.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2106-06616

PAC Best Arm Identification Under a Deadline.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2106-03221

Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2104-07830

Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles.

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

DBLP link: https://dblp.org/rec/conf/icra/GogKSWGS21

QFAST: Conflating Search and Numerical Optimization for Scalable Quantum Circuit Synthesis.

Ed Younis, Koushik Sen, Katherine A. Yelick, Costin Iancu: QFAST: Conflating Search and Numerical Optimization for Scalable Quantum Circuit Synthesis. QCE 2021: 232-243

DBLP link: https://dblp.org/rec/conf/qce/YounisSYI21

RAMP-TAO: Layering Atomic Transactions on Facebook's Online TAO Data Store.

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)

DBLP link: https://dblp.org/rec/journals/pvldb/ChengSPSWLBBCS21

Read-Write Quorum Systems Made Practical.

Michael J. Whittaker, Aleksey Charapko, Joseph M. Hellerstein, Heidi Howard, Ion Stoica: Read-Write Quorum Systems Made Practical. CoRR abs/2104.04102 (2021)

DBLP link: https://dblp.org/rec/journals/corr/abs-2104-04102

Read-Write Quorum Systems Made Practical.

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

DBLP link: https://dblp.org/rec/conf/eurosys/WhittakerCHHS21

Rearchitecting In-Memory Object Stores for Low Latency.

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)

DBLP link: https://dblp.org/rec/journals/pvldb/ZhuoZLZWCS21

Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting.

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

DBLP link: https://dblp.org/rec/conf/iclr/EbrahimiPGGGRD21

Representing Long-Range Context for Graph Neural Networks with Global Attention.

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

DBLP link: https://dblp.org/rec/conf/nips/WuJWMGS21

Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism.

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

DBLP link: https://dblp.org/rec/conf/icml/ThananjeyanKSJG21

Revitalizing the public internet by making it extensible.

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)

DBLP link: https://dblp.org/rec/journals/ccr/BalakrishnanBCC21

RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem.

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

DBLP link: https://dblp.org/rec/conf/nips/LiangWLMGS21

Robust Object Detection via Instance-Level Temporal Cycle Confusion.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2104-08381

Robust Object Detection via Instance-Level Temporal Cycle Confusion.

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

DBLP link: https://dblp.org/rec/conf/iccv/0066HLY0GD21

Scaling Replicated State Machines with Compartmentalization.

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)

DBLP link: https://dblp.org/rec/journals/pvldb/WhittakerACDGHH21

Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2106-10365

sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data.

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

DBLP link: https://dblp.org/rec/conf/mlsys/Wang0HZ0DS21

Serverless Multi-Query Motion Planning for Fog Robotics.

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

DBLP link: https://dblp.org/rec/conf/icra/AnandI0HGG21

Simple and Automatic Distributed Machine Learning on Ray.

Hao Zhang, Zhuohan Li, Lianmin Zheng, Ion Stoica: Simple and Automatic Distributed Machine Learning on Ray. KDD 2021: 4094-4095

DBLP link: https://dblp.org/rec/conf/kdd/ZhangLZS21

Snoopy: Surpassing the Scalability Bottleneck of Oblivious Storage.

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)

DBLP link: https://dblp.org/rec/journals/iacr/DautermanFDCP21

SoK: A Generalized Multi-Leader State Machine Replication Tutorial.

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)

DBLP link: https://dblp.org/rec/journals/jsys/WhittakerGSHS21

Taxonomizing local versus global structure in neural network loss landscapes.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2107-11228

TEGRA: Efficient Ad-Hoc Analytics on Evolving Graphs.

Anand Padmanabha Iyer, Qifan Pu, Kishan Patel, Joseph E. Gonzalez, Ion Stoica: TEGRA: Efficient Ad-Hoc Analytics on Evolving Graphs. NSDI 2021: 337-355

DBLP link: https://dblp.org/rec/conf/nsdi/IyerPPGS21

TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers.

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

DBLP link: https://dblp.org/rec/conf/nips/ZhengLSC0SH21

TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2102-07988

The Effect of Model Size on Worst-Group Generalization.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2112-04094

The RESTless cloud.

Nathan Pemberton, Johann Schleier-Smith, Joseph E. Gonzalez: The RESTless cloud. HotOS 2021: 49-57

DBLP link: https://dblp.org/rec/conf/hotos/PembertonSG21

Transformers are Deep Infinite-Dimensional Non-Mercer Binary Kernel Machines.

Matthew A. Wright, Joseph E. Gonzalez: Transformers are Deep Infinite-Dimensional Non-Mercer Binary Kernel Machines. CoRR abs/2106.01506 (2021)

DBLP link: https://dblp.org/rec/journals/corr/abs-2106-01506

Twenty Years After: Hierarchical Core-Stateless Fair Queueing.

Zhuolong Yu, Jingfeng Wu, Vladimir Braverman, Ion Stoica, Xin Jin: Twenty Years After: Hierarchical Core-Stateless Fair Queueing. NSDI 2021: 29-45

DBLP link: https://dblp.org/rec/conf/nsdi/YuWBS021

Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies.

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

DBLP link: https://dblp.org/rec/conf/rss/SundaresanGTBIN21

Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies.

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)

DBLP link: https://dblp.org/rec/journals/corr/abs-2107-08942

Visual Transformers: Where Do Transformers Really Belong in Vision Models?

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

DBLP link: https://dblp.org/rec/conf/iccv/WuXDWZYT0KV21

VizSmith: Automated Visualization Synthesis by Mining Data-Science Notebooks.

Rohan Bavishi, Shadaj Laddad, Hiroaki Yoshida, Mukul R. Prasad, Koushik Sen: VizSmith: Automated Visualization Synthesis by Mining Data-Science Notebooks. ASE 2021: 129-141

DBLP link: https://dblp.org/rec/conf/kbse/BavishiLYPS21

Wavelet: Efficient DNN Training with Tick-Tock Scheduling.

Guanhua Wang, Kehan Wang, Kenan Jiang, Xiangjun Li, Ion Stoica: Wavelet: Efficient DNN Training with Tick-Tock Scheduling. MLSys 2021

DBLP link: https://dblp.org/rec/conf/mlsys/WangWJLS21