Domain Adaptive Transfer Learning with Specialist Models. - Jiquan Ngiam; Daiyi Peng; Vijay Vasudevan; Simon Kornblith; Quoc V. Le; Ruoming Pang (CoRR, 2018)

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 001 (NeurIPS, 2020)

AutoHAS: Differentiable Hyper-parameter and Architecture Search. - Xuanyi Dong; Mingxing Tan; Adams Wei Yu; Daiyi Peng; Bogdan Gabrys; Quoc V. Le (CoRR, 2020)

Towards NNGP-guided Neural Architecture Search. - Daniel S. Park; Jaehoon Lee 001; Daiyi Peng; Yuan Cao; Jascha Sohl-Dickstein (CoRR, 2020)

Evolving Reinforcement Learning Algorithms. - John D. Co-Reyes; Yingjie Miao; Daiyi Peng; Esteban Real; Quoc V. Le; Sergey Levine; Honglak Lee; Aleksandra Faust (ICLR, 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 007 (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)

RL-DARTS: Differentiable Architecture Search for Reinforcement Learning. - Yingjie Miao; Xingyou Song; Daiyi Peng; Summer Yue; Eugene Brevdo; Aleksandra Faust (CoRR, 2021)

Differentiable Architecture Search for Reinforcement Learning. - Yingjie Miao; Xingyou Song; John D. Co-Reyes; Daiyi Peng; Summer Yue; Eugene Brevdo; Aleksandra Faust (AutoML, 2022)

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. - Yingwei Li 002; 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 (CVPR, 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 (MLSys, 2022)

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. - Yingwei Li 002; 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; et al. (CoRR, 2022)

Brainformers: Trading Simplicity for Efficiency. - Yanqi Zhou; Nan Du 002; Yanping Huang; Daiyi Peng; Chang Lan; Da Huang; Siamak Shakeri; David R. So; Andrew M. Dai; Yifeng Lu; Zhifeng Chen; Quoc V. Le; et al. (ICML, 2023)

PyGlove: Efficiently Exchanging ML Ideas as Code. - Daiyi Peng; Xuanyi Dong; Esteban Real; Yifeng Lu; Quoc V. Le (CoRR, 2023)

LayerNAS: Neural Architecture Search in Polynomial Complexity. - Yicheng Fan; Dana Alon; Jingyue Shen; Daiyi Peng; Keshav Kumar; Yun Long; Xin Wang 016; Fotis Iliopoulos; Da-Cheng Juan; Erik Vee (CoRR, 2023)

Long-form factuality in large language models. - Jerry Wei; Chengrun Yang; Xinying Song; Yifeng Lu; Nathan Hu; Jie Huang 009; Dustin Tran; Daiyi Peng; Ruibo Liu; Da Huang; Cosmo Du; Quoc V. Le (NeurIPS, 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; Dustin Tran; Daiyi Peng; Ruibo Liu; Da Huang; Cosmo Du; Quoc V. Le (CoRR, 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)

OmniPred: Language Models as Universal Regressors. - Xingyou Song; Oscar Li; Chansoo Lee; Bangding Yang; Daiyi Peng; Sagi Perel; Yutian Chen 001 (Trans. Mach. Learn. Res., 2024)

MoLA: MoE LoRA with Layer-wise Expert Allocation. - Chongyang Gao; Kezhen Chen; Jinmeng Rao; Ruibo Liu; Baochen Sun; Yawen Zhang; Daiyi Peng; Xiaoyuan Guo; V. S. Subrahmanian (NAACL (Findings), 2025)