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, 8024--8035, 2019 | 44212 | 2019 |
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks A Radford, L Metz, S Chintala International Conference on Learning Representations, 2015 | 17847 | 2015 |
Wasserstein generative adversarial networks M Arjovsky, S Chintala, L Bottou International conference on machine learning, 214-223, 2017 | 16287 | 2017 |
Automatic differentiation in pytorch A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito, Z Lin, ... Neural Information Processing Systems Autodiff Workshop, 2017 | 13593 | 2017 |
Deep generative image models using a laplacian pyramid of adversarial networks E Denton, S Chintala, A Szlam, R Fergus Advances in Neural Information Processing Systems, 2015 | 2956 | 2015 |
Pedestrian detection with unsupervised multi-stage feature learning P Sermanet, K Kavukcuoglu, S Chintala, Y LeCun Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 1101 | 2013 |
Semantic segmentation using adversarial networks P Luc, C Couprie, S Chintala, J Verbeek Neural Information Processing Systems Workshop on Adversarial Training, 2016 | 982 | 2016 |
Convolutional neural networks applied to house numbers digit classification P Sermanet, S Chintala, Y LeCun International Conference on Pattern Recognition, 3288-3291, 2012 | 749 | 2012 |
Applied machine learning at facebook: A datacenter infrastructure perspective K Hazelwood, S Bird, D Brooks, S Chintala, U Diril, D Dzhulgakov, ... 2018 IEEE International Symposium on High Performance Computer Architecture …, 2018 | 710 | 2018 |
Automatic differentiation in pytorch.(2017) A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito, Z Lin, ... | 706 | 2017 |
Unsupervised representation learning with deep convolutional generative adversarial networks. arXiv 2015 A Radford, L Metz, S Chintala arXiv preprint arXiv:1511.06434, 2015 | 574 | 2015 |
Wasserstein gan. arXiv 2017 M Arjovsky, S Chintala, L Bottou arXiv preprint arXiv:1701.07875 30, 2017 | 505 | 2017 |
Pytorch distributed: Experiences on accelerating data parallel training S Li, Y Zhao, R Varma, O Salpekar, P Noordhuis, T Li, A Paszke, J Smith, ... Proceedings of the VLDB Endowment, 2020 | 496 | 2020 |
Fast convolutional nets with fbfft: A GPU performance evaluation N Vasilache, J Johnson, M Mathieu, S Chintala, S Piantino, Y LeCun International Conference on Learning Representations, 2015 | 405 | 2015 |
Pytorch: Tensors and dynamic neural networks in python with strong gpu acceleration A Paszke, S Gross, S Chintala, G Chanan PyTorch: Tensors and dynamic neural networks in Python with strong GPU …, 2017 | 355 | 2017 |
A multipath network for object detection S Zagoruyko, A Lerer, TY Lin, PO Pinheiro, S Gross, S Chintala, P Dollár British Machine Vision Conference 2016, 2016 | 288 | 2016 |
Discovering causal signals in images D Lopez-Paz, R Nishihara, S Chintala, B Scholkopf, L Bottou Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 256 | 2017 |
Pytorch: An imperative style, high-performance deep learning library, 2019 A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... arXiv preprint arXiv:1912.01703 10, 1912 | 185 | 1912 |
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 | 171 | 2016 |
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 | 166 | 2022 |