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PyTorch Distributed: Experiences on Accelerating Data Parallel Training

Jun 28, 2020
Shen Li, Yanli Zhao, Rohan Varma, Omkar Salpekar, Pieter Noordhuis, Teng Li, Adam Paszke, Jeff Smith, Brian Vaughan, Pritam Damania, Soumith Chintala

* To appear in VLDB 2020 

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PyTorch: An Imperative Style, High-Performance Deep Learning Library

Dec 03, 2019
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala

* 12 pages, 3 figures, NeurIPS 2019 

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Generalized Inner Loop Meta-Learning

Oct 07, 2019
Edward Grefenstette, Brandon Amos, Denis Yarats, Phu Mon Htut, Artem Molchanov, Franziska Meier, Douwe Kiela, Kyunghyun Cho, Soumith Chintala

* 17 pages, 3 figures, 1 algorithm 

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Wasserstein GAN

Dec 06, 2017
Martin Arjovsky, Soumith Chintala, Léon Bottou


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Discovering Causal Signals in Images

Oct 31, 2017
David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard Schölkopf, Léon Bottou


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Transformation-Based Models of Video Sequences

Apr 24, 2017
Joost van Amersfoort, Anitha Kannan, Marc'Aurelio Ranzato, Arthur Szlam, Du Tran, Soumith Chintala


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Training Language Models Using Target-Propagation

Feb 15, 2017
Sam Wiseman, Sumit Chopra, Marc'Aurelio Ranzato, Arthur Szlam, Ruoyu Sun, Soumith Chintala, Nicolas Vasilache


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Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks

Nov 26, 2016
Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala

* 18 pages, 1 figure (2 plots), 2 tables 

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Semantic Segmentation using Adversarial Networks

Nov 25, 2016
Pauline Luc, Camille Couprie, Soumith Chintala, Jakob Verbeek

* NIPS Workshop on Adversarial Training, Dec 2016, Barcelona, Spain 

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TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games

Nov 03, 2016
Gabriel Synnaeve, Nantas Nardelli, Alex Auvolat, Soumith Chintala, Timothée Lacroix, Zeming Lin, Florian Richoux, Nicolas Usunier


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A MultiPath Network for Object Detection

Aug 08, 2016
Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro O. Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár


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Convolutional networks and learning invariant to homogeneous multiplicative scalings

Feb 16, 2016
Mark Tygert, Arthur Szlam, Soumith Chintala, Marc'Aurelio Ranzato, Yuandong Tian, Wojciech Zaremba

* Appl. Comput. Harmon. Anal., 42 (1): 154-166, 2017 
* 12 pages, 6 figures, 4 tables 

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Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Jan 07, 2016
Alec Radford, Luke Metz, Soumith Chintala

* Under review as a conference paper at ICLR 2016 

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MazeBase: A Sandbox for Learning from Games

Jan 07, 2016
Sainbayar Sukhbaatar, Arthur Szlam, Gabriel Synnaeve, Soumith Chintala, Rob Fergus


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A mathematical motivation for complex-valued convolutional networks

Dec 12, 2015
Joan Bruna, Soumith Chintala, Yann LeCun, Serkan Piantino, Arthur Szlam, Mark Tygert

* Neural Computation, 28 (5): 815-825, May 2016 
* 11 pages, 3 figures; this is the retitled version submitted to the journal, "Neural Computation" 

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Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks

Jun 18, 2015
Emily Denton, Soumith Chintala, Arthur Szlam, Rob Fergus


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Fast Convolutional Nets With fbfft: A GPU Performance Evaluation

Apr 10, 2015
Nicolas Vasilache, Jeff Johnson, Michael Mathieu, Soumith Chintala, Serkan Piantino, Yann LeCun

* Camera ready for ICLR2015 

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Pedestrian Detection with Unsupervised Multi-Stage Feature Learning

Apr 02, 2013
Pierre Sermanet, Koray Kavukcuoglu, Soumith Chintala, Yann LeCun

* 12 pages 

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Convolutional Neural Networks Applied to House Numbers Digit Classification

Apr 18, 2012
Pierre Sermanet, Soumith Chintala, Yann LeCun

* 4 pages, 6 figures, 2 tables 

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