I. Stoica, D. Song, R. A. Popa, D. A. Patterson, M. W. Mahoney, R. H. Katz, A. D. Joseph, M. Jordan, J. M. Hellerstein, J. Gonzalez, and et al, "A berkeley view of systems challenges for AI," arXiv preprint arXiv:1712.05855, 2017.
Articles in conference proceedings
L. Zheng, W. Chiang, Y. Sheng, S. Zhuang, Z. Wu, Y. Zhuang, Z. Lin, Z. Li, D. Li, E. Xing, H. Zhang, J. Gonzalez, and I. Stoica, "citeKey, Judging {LLM}-as-a-Judge with {MT}-Bench and Chatbot Arena," in Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track, 2023.
J. Ichnowski, K. Chen, K. Dharmarajan, S. Adebola, M. Danielczuk, V. Mayoral-Vilches, N. Jha, H. Zhan, E. Llontop, D. Xu, C. Buscaron, J. D. Kubiatowicz, I. Stoica, J. Gonzalez, and K. Goldberg, "FogROS2: An Adaptive Platform for Cloud and Fog Robotics Using ROS 2," in 2023 IEEE International Conference on Robotics and Automation (ICRA), 2023, pp. 5493-5500.
Z. Wu, P. Jain, M. A. Wright, A. Mirhoseini, J. Gonzalez, I. Stoica, Z. Wu, P. Jain, M. A. Wright, A. Mirhoseini, J. Gonzalez, and I. Stoica, "Representing Long-Range Context for Graph Neural Networks with Global Attention," in Advances in Neural Information Processing Systems (NeurIPS), 2021.
R. Garcia, E. Liu, V. Sreekanti, B. Yan, A. Dandamudi, J. Gonzalez, J. M. Hellerstein, and K. Sen, "Hindsight Logging for Model Training," in Proceedings of the VLDB Endowment, Vol. 14, 2021, pp. 682-693.
A. Dave, C. Leung, R. A. Popa, J. Gonzalez, and I. Stoica, "Oblivious Coopetitive Analytics Using Hardware Enclaves," in Proceedings of the Fifteenth European Conference on Computer Systems, EuroSys ’20, New York, NY, USA: Association for Computing Machinery, 2020.
R. Garcia, V. Sreekanti, N. Yadwadkar, D. Crankshaw, J. Gonzalez, and J. M. Hellerstein, "Context: The missing piece in the machine learning lifecycle," in KDD CMI Workshop, Vol. 114, 2018.
B. Wu, A. Wan, X. Yue, P. Jin, S. Zhao, N. Golmant, A. Gholaminejad, J. Gonzalez, and K. Keutzer, "Shift: A zero flop, zero parameter alternative to spatial convolutions," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 9127--9135.
J. Wong, P. Chen, T. Zhang, J. Gonzalez, Y. Tian, and S. A. Seshia, "Ashera; Neural Guided Optimization Modulo Theory," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2023-103, May 2023.
E. Jonas, J. Schleier-Smith, V. Sreekanti, C. Tsai, A. Khandelwal, Q. Pu, V. Shankar, J. Menezes Carreira, K. Krauth, N. Yadwadkar, J. Gonzalez, R. A. Popa, I. Stoica, and D. A. Patterson, "Cloud Programming Simplified: A Berkeley View on Serverless Computing," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2019-3, Feb. 2019.
I. Stoica, D. Song, R. A. Popa, D. A. Patterson, M. W. Mahoney, R. H. Katz, A. D. Joseph, M. Jordan, J. M. Hellerstein, J. Gonzalez, K. Goldberg, A. Ghodsi, D. E. Culler, and P. Abbeel, "A Berkeley View of Systems Challenges for AI," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2017-159, Oct. 2017.
L. Zheng, C. Jia, M. Sun, Z. Wu, C. Yu, A. Ameri, Y. Wang, J. Yang, D. Zhuo, K. Sen, J. Gonzalez, and I. Stoica, "Ansor: Generating High-Performance Tensor Programs for Deep Learning," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2023-34, May 2023.
L. Song, Z. Zhang, A. Panda, Y. Yang, M. Mahoney, J. Gonzalez, and P. Prateek Mittal, "Neurotoxin: Durable Backdoors in Federated Learning," K. Ramchandran and G. Friedland, Eds., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2022-89, May 2022.
R. Yang, N. Pemberton, and J. Chung, "PyPlover: A System for GPU-enabled Serverless Instances," R. H. Katz and J. Gonzalez, Eds., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2020-74, May 2020.
A. Panda, D. Rothchild, E. Ullah, and N. Ivkin, "Communication-Efficient Federated Learning with Sketching," J. Gonzalez, R. Arora, V. Braverman, and I. Stoica, Eds., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2020-57, May 2020.
A. Yan, X. Wang, Y. Yang, R. Fox, X. Wang, and J. Gonzalez, "Multi-Task Learning Architectures and Applications," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2020-54, May 2020.