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, 2019 | 53603 | 2019 |
Automatic differentiation in pytorch A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito, Z Lin, ... | 14847 | 2017 |
Advances in neural information processing systems A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... Curran Associates, Inc 32, 8024-8035, 2019 | 2449 | 2019 |
Automatic differentiation in pytorch.(2017) A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito, Z Lin, ... | 788 | 2017 |
Pytorch 2: Faster machine learning through dynamic python bytecode transformation and graph compilation J Ansel, E Yang, H He, N Gimelshein, A Jain, M Voznesensky, B Bao, ... Proceedings of the 29th ACM International Conference on Architectural …, 2024 | 422 | 2024 |
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 10, 1912 | 318 | 1912 |
Torchaudio: Building blocks for audio and speech processing YY Yang, M Hira, Z Ni, A Astafurov, C Chen, C Puhrsch, D Pollack, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 214 | 2022 |
PyTorch: an imperative style A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... High-Performance Deep Learning Library 12, 2019 | 189 | 2019 |
Protecting Users by Confining {JavaScript} with {COWL} D Stefan, EZ Yang, P Marchenko, A Russo, D Herman, B Karp, ... 11th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2014 | 116 | 2014 |
mxss attacks: Attacking well-secured web-applications by using innerhtml mutations M Heiderich, J Schwenk, T Frosch, J Magazinius, EZ Yang Proceedings of the 2013 ACM SIGSAC conference on Computer & communications …, 2013 | 87 | 2013 |
Eliminating cache-based timing attacks with instruction-based scheduling D Stefan, P Buiras, EZ Yang, A Levy, D Terei, A Russo, D Mazières Computer Security–ESORICS 2013: 18th European Symposium on Research in …, 2013 | 84 | 2013 |
& Lerer, A.(2017) A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito Automatic differentiation in pytorch, 2017 | 77 | 2017 |
Advances in Neural Information Processing Systems 32 ed H A Paszke, S Gross, F Massa Wallach et al 8024, 2019 | 66 | 2019 |
Pytorch: an imperative style, high-performance deep learning library. CoRR abs/1912.01703 (2019) A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... arXiv preprint arXiv:1912.01703, 1912 | 40 | 1912 |
IFC inside: Retrofitting languages with dynamic information flow control S Heule, D Stefan, EZ Yang, JC Mitchell, A Russo Principles of Security and Trust: 4th International Conference, POST 2015 …, 2015 | 33 | 2015 |
Toward principled browser security E Yang, D Stefan, J Mitchell, D Mazières, P Marchenko, B Karp 14th Workshop on Hot Topics in Operating Systems (HotOS XIV), 2013 | 24 | 2013 |
Efficient communication and collection with compact normal forms EZ Yang, G Campagna, ÖS Ağacan, A El-Hassany, A Kulkarni, ... Proceedings of the 20th ACM SIGPLAN International Conference on Functional …, 2015 | 18 | 2015 |
Dynamic space limits for Haskell EZ Yang, D Mazières Proceedings of the 35th ACM SIGPLAN Conference on Programming Language …, 2014 | 17 | 2014 |
HTML purifier EZ Yang http://htmlpurifier. org, 2011 | 16 | 2011 |
Pytorch rpc: Distributed deep learning built on tensor-optimized remote procedure calls P Damania, S Li, A Desmaison, A Azzolini, B Vaughan, E Yang, ... Proceedings of Machine Learning and Systems 5, 219-231, 2023 | 9 | 2023 |