Daiyi Peng

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Reinforcement Learning

Eligibility Traces

Neural Architectures

Top Venues

Publications

Ruibo Liu, Jerry Wei, Fangyu Liu, Chenglei Si, Yanzhe Zhang, Jinmeng Rao, Steven Zheng, Daiyi Peng, Diyi Yang, Denny Zhou, Andrew M. Dai
Best Practices and Lessons Learned on Synthetic Data for Language Models. CoRR (2024)
Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen
OmniPred: Language Models as Universal Regressors. CoRR (2024)
Jerry Wei, Chengrun Yang, Xinying Song, Yifeng Lu, Nathan Hu, Dustin Tran, Daiyi Peng, Ruibo Liu, Da Huang, Cosmo Du, Quoc V. Le
Long-form factuality in large language models. CoRR (2024)
Chongyang Gao, Kezhen Chen, Jinmeng Rao, Baochen Sun, Ruibo Liu, Daiyi Peng, Yawen Zhang, Xiaoyuan Guo, Jie Yang, V. S. Subrahmanian
Higher Layers Need More LoRA Experts. CoRR (2024)
Daiyi Peng, Xuanyi Dong, Esteban Real, Yifeng Lu, Quoc V. Le
PyGlove: Efficiently Exchanging ML Ideas as Code. CoRR (2023)
Yanqi Zhou, Nan Du, Yanping Huang, Daiyi Peng, Chang Lan, Da Huang, Siamak Shakeri, David R. So, Andrew M. Dai, Yifeng Lu, Zhifeng Chen, Quoc V. Le, Claire Cui, James Laudon, Jeff Dean
Brainformers: Trading Simplicity for Efficiency. ICML (2023)
Yanqi Zhou, Nan Du, Yanping Huang, Daiyi Peng, Chang Lan, Da Huang, Siamak Shakeri, David R. So, Andrew M. Dai, Yifeng Lu, Zhifeng Chen, Quoc V. Le, Claire Cui, James Laudon, Jeff Dean
Brainformers: Trading Simplicity for Efficiency. CoRR (2023)
Yicheng Fan, Dana Alon, Jingyue Shen, Daiyi Peng, Keshav Kumar, Yun Long, Xin Wang, Fotis Iliopoulos, Da-Cheng Juan, Erik Vee
LayerNAS: Neural Architecture Search in Polynomial Complexity. CoRR (2023)
Yingjie Miao, Xingyou Song, John D. Co-Reyes, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust
Differentiable Architecture Search for Reinforcement Learning. AutoML (2022)
Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Bo Wu, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. CoRR (2022)
Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. CVPR (2022)
Yanqi Zhou, Xuanyi Dong, Tianjian Meng, Mingxing Tan, Berkin Akin, Daiyi Peng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon
Towards the Co-design of Neural Networks and Accelerators. MLSys (2022)
Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Daiyi Peng, Deepali Jain, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Yuxiang Yang
ES-ENAS: Combining Evolution Strategies with Neural Architecture Search at No Extra Cost for Reinforcement Learning. CoRR (2021)
John D. Co-Reyes, Yingjie Miao, Daiyi Peng, Esteban Real, Sergey Levine, Quoc V. Le, Honglak Lee, Aleksandra Faust
Evolving Reinforcement Learning Algorithms. CoRR (2021)
John D. Co-Reyes, Yingjie Miao, Daiyi Peng, Esteban Real, Quoc V. Le, Sergey Levine, Honglak Lee, Aleksandra Faust
Evolving Reinforcement Learning Algorithms. ICLR (2021)
Yanqi Zhou, Xuanyi Dong, Berkin Akin, Mingxing Tan, Daiyi Peng, Tianjian Meng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon
Rethinking Co-design of Neural Architectures and Hardware Accelerators. CoRR (2021)
Yingjie Miao, Xingyou Song, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust
RL-DARTS: Differentiable Architecture Search for Reinforcement Learning. CoRR (2021)
Daiyi Peng, Xuanyi Dong, Esteban Real, Mingxing Tan, Yifeng Lu, Hanxiao Liu, Gabriel Bender, Adam Kraft, Chen Liang, Quoc V. Le
PyGlove: Symbolic Programming for Automated Machine Learning. CoRR (2021)
Daiyi Peng, Xuanyi Dong, Esteban Real, Mingxing Tan, Yifeng Lu, Gabriel Bender, Hanxiao Liu, Adam Kraft, Chen Liang, Quoc Le
PyGlove: Symbolic Programming for Automated Machine Learning. NeurIPS (2020)
Xuanyi Dong, Mingxing Tan, Adams Wei Yu, Daiyi Peng, Bogdan Gabrys, Quoc V. Le
AutoHAS: Differentiable Hyper-parameter and Architecture Search. CoRR (2020)
Daniel S. Park, Jaehoon Lee, Daiyi Peng, Yuan Cao, Jascha Sohl-Dickstein
Towards NNGP-guided Neural Architecture Search. CoRR (2020)
Jiquan Ngiam, Daiyi Peng, Vijay Vasudevan, Simon Kornblith, Quoc V. Le, Ruoming Pang
Domain Adaptive Transfer Learning with Specialist Models. CoRR (2018)