Zeming Lin
Zeming Lin
Bestätigte E-Mail-Adresse bei nyu.edu
Titel
Zitiert von
Zitiert von
Jahr
Pytorch: An imperative style, high-performance deep learning library
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
Advances in neural information processing systems 32, 8026-8037, 2019
87882019
Automatic differentiation in pytorch
A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito, Z Lin, ...
81362017
Advances in Neural Information Processing Systems 32
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
Curran Associates, Inc, 8024-8035, 2019
2272019
Intrinsic motivation and automatic curricula via asymmetric self-play
S Sukhbaatar, Z Lin, I Kostrikov, G Synnaeve, A Szlam, R Fergus
arXiv preprint arXiv:1703.05407, 2017
1942017
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
A Rives, J Meier, T Sercu, S Goyal, Z Lin, J Liu, D Guo, M Ott, CL Zitnick, ...
Proceedings of the National Academy of Sciences 118 (15), 2021
1812021
Episodic exploration for deep deterministic policies: An application to starcraft micromanagement tasks
N Usunier, G Synnaeve, Z Lin, S Chintala
arXiv preprint arXiv:1609.02993, 2016
1422016
Torchcraft: a library for machine learning research on real-time strategy games
G Synnaeve, N Nardelli, A Auvolat, S Chintala, T Lacroix, Z Lin, F Richoux, ...
arXiv preprint arXiv:1611.00625, 2016
1112016
Deep motif: Visualizing genomic sequence classifications
J Lanchantin, R Singh, Z Lin, Y Qi
arXiv preprint arXiv:1605.01133, 2016
722016
Deepcloak: Masking deep neural network models for robustness against adversarial samples
J Gao, B Wang, Z Lin, W Xu, Y Qi
arXiv preprint arXiv:1702.06763, 2017
642017
Pytorch: An imperative style, high-performance deep learning library. arXiv 2019
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
arXiv preprint arXiv:1912.01703, 1912
591912
MUST-CNN: a multilayer shift-and-stitch deep convolutional architecture for sequence-based protein structure prediction
Z Lin, J Lanchantin, Y Qi
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
372016
Stardata: A starcraft ai research dataset
Z Lin, J Gehring, V Khalidov, G Synnaeve
Thirteenth Artificial Intelligence and Interactive Digital Entertainment …, 2017
312017
Forward modeling for partial observation strategy games-a starcraft defogger
G Synnaeve, Z Lin, J Gehring, D Gant, V Mella, V Khalidov, N Carion, ...
arXiv preprint arXiv:1812.00054, 2018
242018
Value propagation networks
N Nardelli, G Synnaeve, Z Lin, P Kohli, PHS Torr, N Usunier
arXiv preprint arXiv:1805.11199, 2018
162018
An analysis of model-based heuristic search techniques for StarCraft combat scenarios
D Churchill, Z Lin, G Synnaeve
Thirteenth Artificial Intelligence and Interactive Digital Entertainment …, 2017
132017
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. bioRxiv. 2019
A Rives, S Goyal, J Meier, D Guo, M Ott, CL Zitnick
doi 10 (622803), 622803, 0
9
Growing action spaces
G Farquhar, L Gustafson, Z Lin, S Whiteson, N Usunier, G Synnaeve
International Conference on Machine Learning, 3040-3051, 2020
82020
Neural Potts Model
T Sercu, R Verkuil, J Meier, B Amos, Z Lin, C Chen, J Liu, Y LeCun, ...
bioRxiv, 2021
22021
Growing Up Together: Structured Exploration for Large Action Spaces
G Synnaeve, J Gehring, Z Lin, D Haziza, N Usunier, D Rothermel, V Mella, ...
2019
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