Soumith Chintala
Soumith Chintala
Facebook AI Research
Verified email at nyu.edu - Homepage
Title
Cited by
Cited by
Year
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
A Radford, L Metz, S Chintala
International Conference on Learning Representations, 2015
97602015
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
77512017
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
75992019
Wasserstein generative adversarial networks
M Arjovsky, S Chintala, L Bottou
International conference on machine learning, 214-223, 2017
75262017
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
19652015
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
9322013
Semantic segmentation using adversarial networks
P Luc, C Couprie, S Chintala, J Verbeek
Neural Information Processing Systems Workshop on Adversarial Training, 2016
5722016
Convolutional neural networks applied to house numbers digit classification
P Sermanet, S Chintala, Y LeCun
International Conference on Pattern Recognition, 3288-3291, 2012
5602012
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
3322018
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
2932015
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
2392017
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
2062016
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
1382016
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
1102016
Wasserstein gan. arXiv 2017
M Arjovsky, S Chintala, L Bottou
arXiv preprint arXiv:1701.07875 30, 2017
982017
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
952017
A mathematical motivation for complex-valued convolutional networks
M Tygert, J Bruna, S Chintala, Y LeCun, S Piantino, A Szlam
Neural computation 28 (5), 815-825, 2016
80*2016
Wasserstein gan (2017)
M Arjovsky, S Chintala, L Bottou
arXiv preprint arXiv:1701.07875, 2017
732017
PyTorch
A Paszke, S Gross, S Chintala, G Chanan
Computer software. Vers. 0.3 1, 2016
732016
Mazebase: A sandbox for learning from games
S Sukhbaatar, A Szlam, G Synnaeve, S Chintala, R Fergus
arXiv preprint arXiv:1511.07401, 2015
692015
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