Daiyi Peng

Computer Science · Physical Sciences

9h-index1.5kcitations26works2.32yr avg
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Research Topics

Advanced Neural Network Applications(9), Reinforcement Learning in Robotics(5), Domain Adaptation and Few-Shot Learning(5), Adversarial Robustness in Machine Learning(5), Machine Learning and Data Classification(5)

Publications25 total

Type-Compliant Adaptation Cascades: Adapting Programmatic LM Workflows to Data
arXiv (Cornell University)·2025Open Access
Long-form factuality in large language models
arXiv (Cornell University)·2024· 7 citedOpen Access
Long-form factuality in large language models
2024
Brainformers: Trading Simplicity for Efficiency
arXiv (Cornell University)·2023Open Access
LayerNAS: Neural Architecture Search in Polynomial Complexity
arXiv (Cornell University)·2023· 3 citedOpen Access
PyGlove: Efficiently Exchanging ML Ideas as Code
arXiv (Cornell University)·2023Open Access
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 484 cited
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
arXiv (Cornell University)·2022· 24 citedOpen Access
RL-DARTS: Differentiable Architecture Search for Reinforcement Learning.
arXiv (Cornell University)·2021· 1 citedOpen Access
Differentiable Architecture Search for Reinforcement Learning
arXiv (Cornell University)·2021Open Access
NAHAS: Neural Architecture and Hardware Accelerator Search
2021· 1 cited
Rethinking Co-design of Neural Architectures and Hardware Accelerators
arXiv (Cornell University)·2021· 17 citedOpen Access
PyGlove: Symbolic Programming for Automated Machine Learning
arXiv (Cornell University)·2021· 7 citedOpen Access
ES-ENAS: Controller-Based Architecture Search for Evolutionary Reinforcement Learning
2021· 1 cited
ES-ENAS: Combining Evolution Strategies with Neural Architecture Search at No Extra Cost for Reinforcement Learning.
arXiv (Cornell University)·2021· 9 citedOpen Access
ES-ENAS: Efficient Evolutionary Optimization for Large Hybrid Search Spaces
arXiv (Cornell University)·2021Open Access
Evolving Reinforcement Learning Algorithms
arXiv (Cornell University)·2021· 19 citedOpen Access
Towards NNGP-guided Neural Architecture Search
arXiv (Cornell University)·2020· 14 citedOpen Access
AutoHAS: Efficient Hyperparameter and Architecture Search
arXiv (Cornell University)·2020· 24 citedOpen Access
AutoHAS: Differentiable Hyper-parameter and Architecture Search.
arXiv (Cornell University)·2020· 17 citedOpen Access
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Frequent Co-authors

Quoc V. Le(12), Mingxing Tan(7), Xuanyi Dong(6), Yifeng Lu(5), Xingyou Song(5), Adams Wei Yu(4), Jiquan Ngiam(4), Tianjian Meng(3), Yingjie Miao(3), Esteban Real(3), Aleksandra Faust(3), Yanqi Zhou(3), Krzysztof Choromański(3), Jack Parker-Holder(3), Yunhao Tang(3), Deepali Jain(3), Wenbo Gao(3), Aldo Pacchiano(3), Tamás Sarlós(3), Yuxiang Yang(3)