Daiyi Peng

According to our database, Daiyi Peng authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Best Practices and Lessons Learned on Synthetic Data for Language Models.

Ruibo Liu, Jerry Wei, Fangyu Liu, Chenglei Si, Yanzhe Zhang, Jinmeng Rao, Steven Zheng, Daiyi Peng, Diyi Yang, Denny Zhou, Andrew M. Dai

CoRR, 2024

Long-form factuality in large language models.

Jerry Wei, Chengrun Yang, Xinying Song, Yifeng Lu, Nathan Hu, Dustin Tran, Daiyi Peng, Ruibo Liu, Da Huang, Cosmo Du, Quoc V. Le

CoRR, 2024

OmniPred: Language Models as Universal Regressors.

Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen

CoRR, 2024

Higher Layers Need More LoRA Experts.

Chongyang Gao, Kezhen Chen, Jinmeng Rao, Baochen Sun, Ruibo Liu, Daiyi Peng, Yawen Zhang, Xiaoyuan Guo, Jie Yang, V. S. Subrahmanian

CoRR, 2024

Long-form factuality in large language models.

Jerry Wei, Chengrun Yang, Xinying Song, Yifeng Lu, Nathan Hu, Jie Huang, Dustin Tran, Daiyi Peng, Ruibo Liu, Da Huang, Cosmo Du, Quoc V. Le

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

LayerNAS: Neural Architecture Search in Polynomial Complexity.

Yicheng Fan, Dana Alon, Jingyue Shen, Daiyi Peng, Keshav Kumar, Yun Long, Xin Wang, Fotis Iliopoulos, Da-Cheng Juan, Erik Vee

CoRR, 2023

PyGlove: Efficiently Exchanging ML Ideas as Code.

Daiyi Peng, Xuanyi Dong, Esteban Real, Yifeng Lu, Quoc V. Le

CoRR, 2023

Brainformers: Trading Simplicity for Efficiency.

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

Proceedings of the International Conference on Machine Learning, 2023

2022

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection.

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

CoRR, 2022

Towards the Co-design of Neural Networks and Accelerators.

Yanqi Zhou, Xuanyi Dong, Tianjian Meng, Mingxing Tan, Berkin Akin, Daiyi Peng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Differentiable Architecture Search for Reinforcement Learning.

Yingjie Miao, Xingyou Song, John D. Co-Reyes, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust

Proceedings of the International Conference on Automated Machine Learning, 2022

2021

RL-DARTS: Differentiable Architecture Search for Reinforcement Learning.

Yingjie Miao, Xingyou Song, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust

CoRR, 2021

Rethinking Co-design of Neural Architectures and Hardware Accelerators.

Yanqi Zhou, Xuanyi Dong, Berkin Akin, Mingxing Tan, Daiyi Peng, Tianjian Meng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon

CoRR, 2021

ES-ENAS: Combining Evolution Strategies with Neural Architecture Search at No Extra Cost for Reinforcement Learning.

Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Daiyi Peng, Deepali Jain, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Yuxiang Yang

CoRR, 2021

Evolving Reinforcement Learning Algorithms.

John D. Co-Reyes, Yingjie Miao, Daiyi Peng, Esteban Real, Quoc V. Le, Sergey Levine, Honglak Lee, Aleksandra Faust

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Towards NNGP-guided Neural Architecture Search.

Daniel S. Park, Jaehoon Lee, Daiyi Peng, Yuan Cao, Jascha Sohl-Dickstein

CoRR, 2020

AutoHAS: Differentiable Hyper-parameter and Architecture Search.

Xuanyi Dong, Mingxing Tan, Adams Wei Yu, Daiyi Peng, Bogdan Gabrys, Quoc V. Le

CoRR, 2020

PyGlove: Symbolic Programming for Automated Machine Learning.

Daiyi Peng, Xuanyi Dong, Esteban Real, Mingxing Tan, Yifeng Lu, Gabriel Bender, Hanxiao Liu, Adam Kraft, Chen Liang, Quoc Le

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

Domain Adaptive Transfer Learning with Specialist Models.

Jiquan Ngiam, Daiyi Peng, Vijay Vasudevan, Simon Kornblith, Quoc V. Le, Ruoming Pang

CoRR, 2018