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Grounded Graph Decoding Improves Compositional Generalization in Question Answering


Nov 05, 2021
Yu Gai, Paras Jain, Wendi Zhang, Joseph E. Gonzalez, Dawn Song, Ion Stoica

* To be published in Findings of EMNLP 2021. Code available at https://github.com/gaiyu0/cfq 

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Accelerating Quadratic Optimization with Reinforcement Learning


Jul 22, 2021
Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg

* 25 pages, 7 figures. Code available at https://github.com/berkeleyautomation/rlqp 

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Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments


Jun 18, 2021
Abdus Salam Azad, Edward Kim, Qiancheng Wu, Kimin Lee, Ion Stoica, Pieter Abbeel, Sanjit A. Seshia

* First two authors contributed equally. Currently Under Review 

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Online Learning of Competitive Equilibria in Exchange Economies


Jun 11, 2021
Wenshuo Guo, Kirthevasan Kandasamy, Joseph E Gonzalez, Michael I. Jordan, Ion Stoica

* 31 pages, 6 figures 

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PAC Best Arm Identification Under a Deadline


Jun 08, 2021
Brijen Thananjeyan, Kirthevasan Kandasamy, Ion Stoica, Michael I. Jordan, Ken Goldberg, Joseph E. Gonzalez

* In submission 

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


Apr 29, 2021
Jianfei Chen, Lianmin Zheng, Zhewei Yao, Dequan Wang, Ion Stoica, Michael W. Mahoney, Joseph E. Gonzalez


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


Apr 16, 2021
Ionel Gog, Sukrit Kalra, Peter Schafhalter, Matthew A. Wright, Joseph E. Gonzalez, Ion Stoica

* ICRA 2021; 8 pages, 4 figures, 1 table 

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


Feb 16, 2021
Zhuohan Li, Siyuan Zhuang, Shiyuan Guo, Danyang Zhuo, Hao Zhang, Dawn Song, Ion Stoica


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


Dec 19, 2020
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica


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Online Learning Demands in Max-min Fairness


Dec 15, 2020
Kirthevasan Kandasamy, Gur-Eyal Sela, Joseph E Gonzalez, Michael I Jordan, Ion Stoica


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Distributed Reinforcement Learning is a Dataflow Problem


Dec 03, 2020
Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Ion Stoica

* This paper has been withdrawn by the author due to the need to compare sample throughput and training times to more dataflow-based frameworks 

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


Oct 31, 2020
Brijen Thananjeyan, Kirthevasan Kandasamy, Ion Stoica, Michael I. Jordan, Ken Goldberg, Joseph E. Gonzalez

* Preprint. Under review 

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FetchSGD: Communication-Efficient Federated Learning with Sketching


Jul 15, 2020
Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora


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Variable Skipping for Autoregressive Range Density Estimation


Jul 10, 2020
Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen

* ICML 2020. Code released at: https://var-skip.github.io/ 

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Contrastive Code Representation Learning


Jul 09, 2020
Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph E. Gonzalez, Ion Stoica


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Ansor : Generating High-Performance Tensor Programs for Deep Learning


Jun 15, 2020
Lianmin Zheng, Chengfan Jia, Minmin Sun, Zhao Wu, Cody Hao Yu, Ameer Haj-Ali, Yida Wang, Jun Yang, Danyang Zhuo, Koushik Sen, Joseph E. Gonzalez, Ion Stoica


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NeuroCard: One Cardinality Estimator for All Tables


Jun 15, 2020
Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Xi Chen, Ion Stoica


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ProTuner: Tuning Programs with Monte Carlo Tree Search


May 27, 2020
Ameer Haj-Ali, Hasan Genc, Qijing Huang, William Moses, John Wawrzynek, Krste Asanović, Ion Stoica


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Mechanism Design with Bandit Feedback


Apr 19, 2020
Kirthevasan Kandasamy, Joseph E. Gonzalez, Michael I. Jordan, Ion Stoica


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AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning


Mar 04, 2020
Qijing Huang, Ameer Haj-Ali, William Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek

* arXiv admin note: text overlap with arXiv:1901.04615 

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Hoplite: Efficient Collective Communication for Task-Based Distributed Systems


Feb 13, 2020
Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica


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IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks


Jan 23, 2020
Michael Luo, Jiahao Yao, Richard Liaw, Eric Liang, Ion Stoica

* ICLR 2020 Publication; 14 pages, 10 figures 

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HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline


Jan 08, 2020
Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph Gonzalez, Ion Stoica, Alexey Tumanov


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Hierarchical Variational Imitation Learning of Control Programs


Dec 29, 2019
Roy Fox, Richard Shin, William Paul, Yitian Zou, Dawn Song, Ken Goldberg, Pieter Abbeel, Ion Stoica


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Gemmini: An Agile Systolic Array Generator Enabling Systematic Evaluations of Deep-Learning Architectures


Dec 07, 2019
Hasan Genc, Ameer Haj-Ali, Vighnesh Iyer, Alon Amid, Howard Mao, John Wright, Colin Schmidt, Jerry Zhao, Albert Ou, Max Banister, Yakun Sophia Shao, Borivoje Nikolic, Ion Stoica, Krste Asanovic


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