Lin, Zeming

9 publications

ICML 2022 Learning Inverse Folding from Millions of Predicted Structures Chloe Hsu, Robert Verkuil, Jason Liu, Zeming Lin, Brian Hie, Tom Sercu, Adam Lerer, Alexander Rives

ICML 2020 Growing Action Spaces Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve

NeurIPS 2019 PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala

ICLR 2019 Value Propagation Networks Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H. S. Torr, Nicolas Usunier

NeurIPS 2018 Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger Gabriel Synnaeve, Zeming Lin, Jonas Gehring, Dan Gant, Vegard Mella, Vasil Khalidov, Nicolas Carion, Nicolas Usunier

ICLR 2018 Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov, Gabriel Synnaeve, Arthur Szlam, Rob Fergus

ICLR 2017 DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples Ji Gao, Beilun Wang, Zeming Lin, Weilin Xu, Yanjun Qi

ICLR 2017 Episodic Exploration for Deep Deterministic Policies for StarCraft Micromanagement Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala

AAAI 2016 MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction Zeming Lin, Jack Lanchantin, Yanjun Qi