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TorchAudio: Building Blocks for Audio and Speech Processing


Oct 28, 2021
Yao-Yuan Yang, Moto Hira, Zhaoheng Ni, Anjali Chourdia, Artyom Astafurov, Caroline Chen, Ching-Feng Yeh, Christian Puhrsch, David Pollack, Dmitriy Genzel, Donny Greenberg, Edward Z. Yang, Jason Lian, Jay Mahadeokar, Jeff Hwang, Ji Chen, Peter Goldsborough, Prabhat Roy, Sean Narenthiran, Shinji Watanabe, Soumith Chintala, Vincent Quenneville-Bélair, Yangyang Shi

* Submitted to ICASSP 2022 

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droidlet: modular, heterogenous, multi-modal agents


Jan 25, 2021
Anurag Pratik, Soumith Chintala, Kavya Srinet, Dhiraj Gandhi, Rebecca Qian, Yuxuan Sun, Ryan Drew, Sara Elkafrawy, Anoushka Tiwari, Tucker Hart, Mary Williamson, Abhinav Gupta, Arthur Szlam


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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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