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Daiyi Peng
Daiyi Peng
Google Research, Brain Team
Verified email at google.com
Title
Cited by
Cited by
Year
Domain adaptive transfer learning with specialist models
J Ngiam, D Peng, V Vasudevan, S Kornblith, QV Le, R Pang
arXiv preprint arXiv:1811.07056, 2018
942018
Evolving reinforcement learning algorithms
JD Co-Reyes, Y Miao, D Peng, E Real, S Levine, QV Le, H Lee, A Faust
arXiv preprint arXiv:2101.03958, 2021
372021
Deepfusion: Lidar-camera deep fusion for multi-modal 3d object detection
Y Li, AW Yu, T Meng, B Caine, J Ngiam, D Peng, J Shen, Y Lu, D Zhou, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
322022
AutoHAS: Efficient hyperparameter and architecture search
X Dong, M Tan, AW Yu, D Peng, B Gabrys, QV Le
arXiv preprint arXiv:2006.03656, 2020
242020
Rethinking co-design of neural architectures and hardware accelerators
Y Zhou, X Dong, B Akin, M Tan, D Peng, T Meng, A Yazdanbakhsh, ...
arXiv preprint arXiv:2102.08619, 2021
182021
AutoHAS: Differentiable hyper-parameter and architecture search
X Dong, M Tan, AW Yu, D Peng, B Gabrys, QV Le
182020
PyGlove: Symbolic programming for automated machine learning
D Peng, X Dong, E Real, M Tan, Y Lu, G Bender, H Liu, A Kraft, C Liang, ...
Advances in Neural Information Processing Systems 33, 96-108, 2020
172020
Towards nngp-guided neural architecture search
DS Park, J Lee, D Peng, Y Cao, J Sohl-Dickstein
arXiv preprint arXiv:2011.06006, 2020
162020
ES-ENAS: combining evolution strategies with neural architecture search at no extra cost for reinforcement learning
X Song, K Choromanski, J Parker-Holder, Y Tang, D Peng, D Jain, W Gao, ...
62021
RL-DARTS: differentiable architecture search for reinforcement learning
Y Miao, X Song, D Peng, S Yue, JD Co-Reyes, E Brevdo, A Faust
arXiv preprint arXiv:2106.02229, 2021
42021
Towards the Co-design of Neural Networks and Accelerators
Y Zhou, X Dong, T Meng, M Tan, B Akin, D Peng, A Yazdanbakhsh, ...
Proceedings of Machine Learning and Systems 4, 141-152, 2022
32022
Training machine learning models using adaptive transfer learning
V Vasudevan, R Pang, QV Le, D Peng, J Ngiam, S Kornblith
US Patent App. 16/586,675, 2020
32020
ES-ENAS: Blackbox optimization over hybrid spaces via combinatorial and continuous evolution
X Song, K Choromanski, J Parker-Holder, Y Tang, Q Zhang, D Peng, ...
arXiv preprint arXiv:2101.07415, 2021
12021
Towards NNGP-guided Neural Architecture Search
D Peng, DS Park, J Lee, J Sohl-dickstein, Y Cao
12020
Effective descriptive model of E-commerce merchandise and the multi-website searching mechanism
D PENG, D YIN, B LI
Journal of Computer Applications 25 (02), 472, 2005
12005
A ZERO-WATERMARK SCHEMA BASED ON DIRECT WAVELET TRANSFORM
HUA DAI, L ZHANG, D PENG, C TAN, B LI
Wavelet Analysis and Active Media Technology: (In 3 Volumes), 87-93, 2005
12005
Differentiable Architecture Search for Reinforcement Learning
Y Miao, X Song, JD Co-Reyes, D Peng, S Yue, E Brevdo, A Faust
International Conference on Automated Machine Learning, 20/1-17, 2022
2022
Predicting neural network performance using neural network gaussian process
J Lee, D Peng, Y Cao, JN Sohl-Dickstein, DSJ Park
US Patent App. 17/377,142, 2022
2022
Joint Architecture And Hyper-Parameter Search For Machine Learning Models
M Tan, X Dong, W Yu, QV Le, D Peng
US Patent App. 17/337,834, 2021
2021
NAHAS: Neural Architecture and Hardware Accelerator Search
Y Zhou, X Dong, D Peng, E Zhu, A Yazdanbakhsh, B Akin, M Tan, ...
2020
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