Publications

World Model on Million-Length Video And Language With Blockwise RingAttention.

Hao LiuWilson YanMatei ZahariaPieter Abbeel: World Model on Million-Length Video And Language With Blockwise RingAttention. CoRR abs/2402.08268 (2024)

Starburst: A Cost-aware Scheduler for Hybrid Cloud

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

Dynamic Inference of Likely Symbolic Tensor Shapes in Python Machine Learning Programs.

Dan ZhengKoushik Sen: Dynamic Inference of Likely Symbolic Tensor Shapes in Python Machine Learning Programs. ICSE-SEIP 2024: 147-156

Confidential Computing or Cryptographic Computing?: Tradeoffs between cryptography and hardware enclaves.

Raluca Ada Popa: Confidential Computing or Cryptographic Computing?: Tradeoffs between cryptography and hardware enclaves. ACM Queue 22(2) (2024)

ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data.

Liana PatelPeter KraftCarlos GuestrinMatei Zaharia: ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data. CoRR abs/2403.04871 (2024)

World Model on Million-Length Video And Language With Blockwise RingAttention.

Hao LiuWilson YanMatei ZahariaPieter Abbeel: World Model on Million-Length Video And Language With Blockwise RingAttention. CoRR abs/2402.08268 (2024)

Break the Sequential Dependency of LLM Inference Using Lookahead Decoding.

Yichao FuPeter BailisIon StoicaHao Zhang: Break the Sequential Dependency of LLM Inference Using Lookahead Decoding. CoRR abs/2402.02057 (2024)

Break the Sequential Dependency of LLM Inference Using Lookahead Decoding.

Yichao FuPeter BailisIon StoicaHao Zhang: Break the Sequential Dependency of LLM Inference Using Lookahead Decoding. CoRR abs/2402.02057 (2024)

LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models.

Chaofan ShouJing LiuDoudou LuKoushik Sen: LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models. CoRR abs/2401.11108 (2024)

The Story of GraphLab - From Scaling Machine Learning to Shaping Graph Systems Research.

Joseph E. GonzalezYucheng Low: The Story of GraphLab - From Scaling Machine Learning to Shaping Graph Systems Research. Proc. VLDB Endow. 16(12): 4138 (2023)

Efficient Data Sharing across Trust Domains.

Natacha Crooks: Efficient Data Sharing across Trust Domains. SIGMOD Rec. 52(2): 36-37 (2023)

ItyFuzz: Snapshot-Based Fuzzer for Smart Contract.

Chaofan ShouShangyin TanKoushik Sen: ItyFuzz: Snapshot-Based Fuzzer for Smart Contract. ISSTA 2023: 322-333

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]

ELSA: Secure Aggregation for Federated Learning with Malicious Actors.

Mayank RatheeConghao ShenSameer WaghRaluca Ada Popa: ELSA: Secure Aggregation for Federated Learning with Malicious Actors. SP 2023: 1961-1979

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

2022

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)

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)

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)

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)

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)

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

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)

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

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)

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)

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)

Reflections on trusting distributed trust.

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

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

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)

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)

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

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

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

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)

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)

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

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)

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)

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)

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

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)

Reflections on trusting distributed trust.

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

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)

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)

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)

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)

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

2021

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)

2022

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)

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)

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

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

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)

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)

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)

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

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)

2021

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)

2022

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

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)

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

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

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)

Treaty: Secure Distributed Transactions.

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

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)

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

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)

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

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

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)

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)

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

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

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)

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

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)

2021

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)

2022

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)

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

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

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

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

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

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)

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)

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)

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

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)

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)

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)

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)

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

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

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)

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)

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)

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)

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

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

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)

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

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

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

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

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)

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)

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

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

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

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)

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

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)

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

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

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

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)

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

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)

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

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)

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

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)

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)

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

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)

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)

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)

Learning Highly Recursive Input Grammars.

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

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

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)

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)

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

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)

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

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

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

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)

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)

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

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

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

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)

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)

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

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

A Client-centric Approach to Transactional Datastores.

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

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)

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)

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)

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

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)

From cloud computing to sky computing.

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

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

The RESTless cloud.

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

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)

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

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

Growing A Test Corpus with Bonsai Fuzzing.

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

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

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

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)

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)

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)

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)

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

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)

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)

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

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

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

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

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]

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

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

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)

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)

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)

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)

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)

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

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

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)

Learning Highly Recursive Input Grammars.

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

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

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)

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)

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

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)

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

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)

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)

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)

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

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)

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

New Directions in Cloud Programming.

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

New Directions in Cloud Programming.

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

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

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)

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)

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)

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

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

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)

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)

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

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)

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

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

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