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Hanxiao Liu
Hanxiao Liu
Microsoft AI
Dirección de correo verificada de microsoft.com - Página principal
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Citado por
Citado por
Año
DARTS: Differentiable architecture search
H Liu, K Simonyan, Y Yang
International Conference on Learning Representations, ICLR 2019, 2018
48022018
Modeling long- and short-term temporal patterns with deep neural networks
G Lai, WC Chang, Y Yang, H Liu
International ACM SIGIR Conference on Research and Development in …, 2017
17342017
RACE: Large-scale reading comprehension dataset from examinations
G Lai, Q Xie, H Liu, Y Yang, E Hovy
Empirical Methods in Natural Language Processing (EMNLP), 2017
12472017
Hierarchical representations for efficient architecture search
H Liu, K Simonyan, O Vinyals, C Fernando, K Kavukcuoglu
International Conference on Learning Representations, ICLR 2018, 2017
10692017
CoAtNet: Marrying convolution and attention for all data sizes
Z Dai, H Liu, QV Le, M Tan
Advances in Neural Information Processing Systems (NeurIPS), 2021
10622021
Rethinking pre-training and self-training
B Zoph, G Ghiasi, TY Lin, Y Cui, H Liu, ED Cubuk, Q Le
Advances in Neural Information Processing Systems (NeurIPS), 2020
6712020
Pay attention to MLPs
H Liu, Z Dai, D So, Q Le
Advances in Neural Information Processing Systems (NeurIPS), 2021
573*2021
Analogical inference for multi-relational embeddings
H Liu, Y Wu, Y Yang
International Conference on Machine Learning (ICML), 2017
4542017
Gated-attention readers for text comprehension
B Dhingra*, H Liu*, Z Yang, WW Cohen, R Salakhutdinov
Annual Meeting of the Association for Computational Linguistics, ACL 2017, 2016
4542016
BigNAS: Scaling up neural architecture search with big single-stage models
J Yu, P Jin, H Liu, G Bender, PJ Kindermans, M Tan, T Huang, X Song, ...
European Conference on Computer Vision (ECCV), 2020
2922020
Large language models as optimizers
C Yang, X Wang, Y Lu, H Liu, QV Le, D Zhou, X Chen
arXiv preprint arXiv:2309.03409, 2023
2072023
Neural predictor for neural architecture search
W Wen, H Liu, H Li, Y Chen, G Bender, PJ Kindermans
European Conference on Computer Vision (ECCV), 2020
2012020
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
1822023
Combined scaling for open-vocabulary image classification
H Pham, Z Dai, G Ghiasi, K Kawaguchi, H Liu, AW Yu, J Yu, YT Chen, ...
arXiv preprint arXiv:2111.10050 1 (2), 4, 2021
180*2021
Transformer quality in linear time
W Hua, Z Dai, H Liu, Q Le
International Conference on Machine Learning (ICML), 2022
1722022
Can weight sharing outperform random architecture search? An investigation with TuNAS
G Bender*, H Liu*, B Chen, G Chu, S Cheng, PJ Kindermans, QV Le
Computer Vision and Pattern Recognition (CVPR), 2020
1472020
MobileDets: Searching for object detection architectures for mobile accelerators
Y Xiong, H Liu, S Gupta, B Akin, G Bender, PJ Kindermans, M Tan, ...
Computer Vision and Pattern Recognition (CVPR), 2021
1442021
Mixture-of-Experts with Expert Choice Routing
Y Zhou, T Lei, H Liu, N Du, Y Huang, V Zhao, A Dai, Z Chen, Q Le, ...
Advances in Neural Information Processing Systems (NeurIPS), 2022
1272022
Searching for efficient transformers for language modeling
D So, W Mańke, H Liu, Z Dai, N Shazeer, QV Le
Advances in Neural Information Processing Systems (NeurIPS), 2021
1272021
Concept graph learning from educational data
Y Yang, H Liu, J Carbonell, W Ma
International Conference on Web Search and Data Mining (WSDM), 2015
1032015
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Artículos 1–20