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Hanxiao Liu
Hanxiao Liu
Staff Research Scientist, Google Brain
google.com의 이메일 확인됨 - 홈페이지
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DARTS: Differentiable architecture search
H Liu, K Simonyan, Y Yang
International Conference on Learning Representations, ICLR 2019, 2018
30852018
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
8452017
Hierarchical representations for efficient architecture search
H Liu, K Simonyan, O Vinyals, C Fernando, K Kavukcuoglu
International Conference on Learning Representations, ICLR 2018, 2017
8402017
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
8272017
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
4172016
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
3802020
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
3492021
Analogical inference for multi-relational embeddings
H Liu, Y Wu, Y Yang
International Conference on Machine Learning (ICML), 2017
3262017
Pay Attention to MLPs
H Liu, Z Dai, D So, Q Le
Advances in Neural Information Processing Systems (NeurIPS), 2021
199*2021
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
1662020
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
1092020
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
932020
Concept graph learning from educational data
Y Yang, H Liu, J Carbonell, W Ma
International Conference on Web Search and Data Mining (WSDM), 2015
862015
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
802021
Learning concept graphs from online educational data
H Liu, W Ma, Y Yang, J Carbonell
Journal of Artificial Intelligence Research (JAIR) 55, 1059-1090, 2016
582016
Transferable graph optimizers for ML compilers
Y Zhou, S Roy, A Abdolrashidi, D Wong, P Ma, Q Xu, H Liu, ...
Advances in Neural Information Processing Systems (NeurIPS), 2020
56*2020
Evolving normalization-activation layers
H Liu, A Brock, K Simonyan, QV Le
Advances in Neural Information Processing Systems (NeurIPS), 2020
502020
Graph convolutional matrix completion for bipartite edge prediction
Y Wu, H Liu, Y Yang
International Conference on Knowledge Discovery and Information Retrieval, 49-58, 2018
462018
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, 2021
40*2021
MnasFPN: Learning latency-aware pyramid architecture for object detection on mobile devices
B Chen, G Ghiasi, H Liu, TY Lin, D Kalenichenko, H Adams, QV Le
Computer Vision and Pattern Recognition (CVPR), 2020
402020
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