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Da Huang
Da Huang
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Cited by
Year
Symbolic discovery of optimization algorithms
X Chen, C Liang, D Huang, E Real, K Wang, H Pham, X Dong, T Luong, ...
Advances in Neural Information Processing Systems 36, 2024
2062024
Larger language models do in-context learning differently
J Wei, J Wei, Y Tay, D Tran, A Webson, Y Lu, X Chen, H Liu, D Huang, ...
arXiv preprint arXiv:2303.03846, 2023
1562023
Simple synthetic data reduces sycophancy in large language models
J Wei, D Huang, Y Lu, D Zhou, QV Le
arXiv preprint arXiv:2308.03958, 2023
352023
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
282021
Symbol tuning improves in-context learning in language models
J Wei, L Hou, A Lampinen, X Chen, D Huang, Y Tay, X Chen, Y Lu, ...
arXiv preprint arXiv:2305.08298, 2023
272023
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
152022
Evolved optimizer for vision
X Chen, C Liang, D Huang, E Real, Y Liu, K Wang, CJ Hsieh, Y Lu, QV Le
First Conference on Automated Machine Learning (Late-Breaking Workshop), 2022
132022
Larger language models do in-context learning differently, 2023
J Wei, J Wei, Y Tay, D Tran, A Webson, Y Lu, X Chen, H Liu, D Huang, ...
URL https://arxiv. org/abs/2303.03846, 2023
102023
Brainformers: Trading simplicity for efficiency
Y Zhou, N Du, Y Huang, D Peng, C Lan, D Huang, S Shakeri, D So, ...
International Conference on Machine Learning, 42531-42542, 2023
92023
Hyperscale hardware optimized neural architecture search
S Li, G Andersen, T Chen, L Cheng, J Grady, D Huang, QV Le, A Li, X Li, ...
Proceedings of the 28th ACM International Conference on Architectural …, 2023
62023
Symbolic discovery of optimization algorithms. arXiv
X Chen, C Liang, D Huang, E Real, K Wang, Y Liu, H Pham, X Dong, ...
arXiv preprint arXiv:2302.06675, 2023
62023
TabNAS: Rejection sampling for neural architecture search on tabular datasets
C Yang, G Bender, H Liu, PJ Kindermans, M Udell, Y Lu, QV Le, D Huang
Advances in Neural Information Processing Systems 35, 11906-11917, 2022
42022
Neural phrase-to-phrase machine translation
J Feng, L Kong, PS Huang, C Wang, D Huang, J Mao, K Qiao, D Zhou
arXiv preprint arXiv:1811.02172, 2018
42018
Resourceconstrained neural architecture search on tabular datasets
C Yang, G Bender, H Liu, PJ Kindermans, M Udell, Y Lu, Q Le, D Huang
arXiv preprint arXiv:2204.07615, 2022
12022
Neural network architecture search over complex block architectures
Z Yanqi, Y Huang, Y Lu, AM Dai, S Shakeri, Z Chen, J Laudon, QV Le, ...
US Patent App. 18/477,546, 2024
2024
Long-form factuality in large language models
J Wei, C Yang, X Song, Y Lu, N Hu, D Tran, D Peng, R Liu, D Huang, ...
arXiv preprint arXiv:2403.18802, 2024
2024
Training neural networks using sign and momentum based optimizers
X Chen, C Liang, D Huang, EA Real, Y Liu, K Wang, Y Lu, QV Le
US Patent App. 18/313,291, 2023
2023
LARGER LANGUAGE MODELS DO IN-CONTEXT LEARNING DIFFERENTLY By admin No Comments
J Wei, J Wei, Y Tay, D Tran, A Webson, Y Lu, X Chen, H Liu, D Huang, ...
Appendix for TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets
C Yang, G Bender, H Liu, PJ Kindermans, M Udell, Y Lu, QV Le, D Huang
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Articles 1–19