Soumith Chintala

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 44

Top Topics

Weakly Supervised

Machine Learning

Top Venues

Proc. VLDB Endow.

Publications

Jason Ansel, Edward Z. Yang, Horace He, Natalia Gimelshein, Animesh Jain, Michael Voznesensky, Bin Bao, Peter Bell, David Berard, Evgeni Burovski, Geeta Chauhan, Anjali Chourdia, Will Constable, Alban Desmaison, Zachary DeVito, Elias Ellison, Will Feng, Jiong Gong, Michael Gschwind, Brian Hirsh, Sherlock Huang, Kshiteej Kalambarkar, Laurent Kirsch, Michael Lazos, Mario Lezcano, Yanbo Liang, Jason Liang, Yinghai Lu, C. K. Luk, Bert Maher, Yunjie Pan, Christian Puhrsch, Matthias Reso, Mark Saroufim, Marcos Yukio Siraichi, Helen Suk, Shunting Zhang, Michael Suo, Phil Tillet, Xu Zhao, Eikan Wang, Keren Zhou, Richard Zou, Xiaodong Wang, Ajit Mathews, William Wen, Gregory Chanan, Peng Wu, Soumith Chintala
PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation. ASPLOS (2) (2024)
Aadhithya Iyer, Zhuoran Peng, Yinlong Dai, Irmak Güzey, Siddhant Haldar, Soumith Chintala, Lerrel Pinto
OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation. CoRR (2024)
Irmak Güzey, Yinlong Dai, Ben Evans, Soumith Chintala, Lerrel Pinto
See to Touch: Learning Tactile Dexterity through Visual Incentives. ICRA (2024)
Théophile Gervet, Soumith Chintala, Dhruv Batra, Jitendra Malik, Devendra Singh Chaplot
Navigating to objects in the real world. Sci. Robotics 8 (79) (2023)
Sridhar Pandian Arunachalam, Irmak Güzey, Soumith Chintala, Lerrel Pinto
Holo-Dex: Teaching Dexterity with Immersive Mixed Reality. ICRA (2023)
Nur Muhammad (Mahi) Shafiullah, Anant Rai, Haritheja Etukuru, Yiqian Liu, Ishan Misra, Soumith Chintala, Lerrel Pinto
On Bringing Robots Home. CoRR (2023)
Irmak Güzey, Ben Evans, Soumith Chintala, Lerrel Pinto
Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play. CoRR (2023)
Irmak Güzey, Ben Evans, Soumith Chintala, Lerrel Pinto
Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play. CoRL (2023)
Shen Li, Pritam Damania, Luca Wehrstedt, Rohan Varma, Omkar Salpekar, Pavel Belevich, Howard Huang, Yanli Zhao, Lucas Hosseini, Wanchao Liang, Hongyi Jia, Shihao Xu, Satendra Gera, Alisson G. Azzolini, Guoqiang Jerry Chen, Zachary DeVito, Chaoyang He, Amir Ziashahabi, Alban Desmaison, Edward Z. Yang, Gregory Chanan, Brian Vaughan, Manoj Krishnan, Joseph S. Spisak, Salman Avestimehr, Soumith Chintala
PyTorch RPC: Distributed Deep Learning Built on Tensor-Optimized Remote Procedure Calls. MLSys (2023)
Nur Muhammad (Mahi) Shafiullah, Chris Paxton, Lerrel Pinto, Soumith Chintala, Arthur Szlam
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory. Robotics: Science and Systems (2023)
Irmak Güzey, Yinlong Dai, Ben Evans, Soumith Chintala, Lerrel Pinto
See to Touch: Learning Tactile Dexterity through Visual Incentives. CoRR (2023)
Nur Muhammad (Mahi) Shafiullah, Chris Paxton, Lerrel Pinto, Soumith Chintala, Arthur Szlam
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory. CoRR (2022)
Théophile Gervet, Soumith Chintala, Dhruv Batra, Jitendra Malik, Devendra Singh Chaplot
Navigating to Objects in the Real World. CoRR (2022)
Sridhar Pandian Arunachalam, Irmak Güzey, Soumith Chintala, Lerrel Pinto
Holo-Dex: Teaching Dexterity with Immersive Mixed Reality. CoRR (2022)
Yao-Yuan Yang, Moto Hira, Zhaoheng Ni, Artyom Astafurov, Caroline Chen, Christian Puhrsch, David Pollack, Dmitriy Genzel, Donny Greenberg, Edward Z. Yang, Jason Lian, Jeff Hwang, Ji Chen, Peter Goldsborough, Sean Narenthiran, Shinji Watanabe, Soumith Chintala, Vincent Quenneville-Bélair
Torchaudio: Building Blocks for Audio and Speech Processing. ICASSP (2022)
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
TorchAudio: Building Blocks for Audio and Speech Processing. CoRR (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
droidlet: modular, heterogenous, multi-modal agents. ICRA (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
droidlet: modular, heterogenous, multi-modal agents. CoRR (2021)
Shen Li, Yanli Zhao, Rohan Varma, Omkar Salpekar, Pieter Noordhuis, Teng Li, Adam Paszke, Jeff Smith, Brian Vaughan, Pritam Damania, Soumith Chintala
PyTorch Distributed: Experiences on Accelerating Data Parallel Training. Proc. VLDB Endow. 13 (12) (2020)
Shen Li, Yanli Zhao, Rohan Varma, Omkar Salpekar, Pieter Noordhuis, Teng Li, Adam Paszke, Jeff Smith, Brian Vaughan, Pritam Damania, Soumith Chintala
PyTorch Distributed: Experiences on Accelerating Data Parallel Training. CoRR (2020)
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 Z. Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala
PyTorch: An Imperative Style, High-Performance Deep Learning Library. CoRR (2019)
Edward Grefenstette, Brandon Amos, Denis Yarats, Phu Mon Htut, Artem Molchanov, Franziska Meier, Douwe Kiela, Kyunghyun Cho, Soumith Chintala
Generalized Inner Loop Meta-Learning. CoRR (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 Z. Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala
PyTorch: An Imperative Style, High-Performance Deep Learning Library. NeurIPS (2019)
Kim M. Hazelwood, Sarah Bird, David M. Brooks, Soumith Chintala, Utku Diril, Dmytro Dzhulgakov, Mohamed Fawzy, Bill Jia, Yangqing Jia, Aditya Kalro, James Law, Kevin Lee, Jason Lu, Pieter Noordhuis, Misha Smelyanskiy, Liang Xiong, Xiaodong Wang
Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective. HPCA (2018)
Martín Arjovsky, Soumith Chintala, Léon Bottou
Wasserstein Generative Adversarial Networks. ICML (2017)
Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala
Episodic Exploration for Deep Deterministic Policies for StarCraft Micromanagement. ICLR (Poster) (2017)
Sam Wiseman, Sumit Chopra, Marc'Aurelio Ranzato, Arthur Szlam, Ruoyu Sun, Soumith Chintala, Nicolas Vasilache
Training Language Models Using Target-Propagation. CoRR (2017)
David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard Schölkopf, Léon Bottou
Discovering Causal Signals in Images. CVPR (2017)
Martín Arjovsky, Soumith Chintala, Léon Bottou
Wasserstein GAN. CoRR (2017)
Joost R. van Amersfoort, Anitha Kannan, Marc'Aurelio Ranzato, Arthur Szlam, Du Tran, Soumith Chintala
Transformation-Based Models of Video Sequences. CoRR (2017)
Mark Tygert, Joan Bruna, Soumith Chintala, Yann LeCun, Serkan Piantino, Arthur Szlam
A Mathematical Motivation for Complex-Valued Convolutional Networks. Neural Comput. 28 (5) (2016)
Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro H. O. Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár
A MultiPath Network for Object Detection. CoRR (2016)
Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro Oliveira Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár
A MultiPath Network for Object Detection. BMVC (2016)
David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard Schölkopf, Léon Bottou
Discovering Causal Signals in Images. CoRR (2016)
Alec Radford, Luke Metz, Soumith Chintala
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. ICLR (Poster) (2016)
Gabriel Synnaeve, Nantas Nardelli, Alex Auvolat, Soumith Chintala, Timothée Lacroix, Zeming Lin, Florian Richoux, Nicolas Usunier
TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games. CoRR (2016)
Pauline Luc, Camille Couprie, Soumith Chintala, Jakob Verbeek
Semantic Segmentation using Adversarial Networks. CoRR (2016)
Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala
Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks. CoRR (2016)
Soumith Chintala, Marc'Aurelio Ranzato, Arthur Szlam, Yuandong Tian, Mark Tygert, Wojciech Zaremba
Scale-invariant learning and convolutional networks. CoRR (2015)
Joan Bruna, Soumith Chintala, Yann LeCun, Serkan Piantino, Arthur Szlam, Mark Tygert
A theoretical argument for complex-valued convolutional networks. CoRR (2015)
Nicolas Vasilache, Jeff Johnson, Michaël Mathieu, Soumith Chintala, Serkan Piantino, Yann LeCun
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation. ICLR (2015)
Emily L. Denton, Soumith Chintala, Arthur Szlam, Robert Fergus
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks. CoRR (2015)
Emily L. Denton, Soumith Chintala, Arthur Szlam, Rob Fergus
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks. NIPS (2015)
Sainbayar Sukhbaatar, Arthur Szlam, Gabriel Synnaeve, Soumith Chintala, Rob Fergus
MazeBase: A Sandbox for Learning from Games. CoRR (2015)
Pierre Sermanet, Koray Kavukcuoglu, Soumith Chintala, Yann LeCun
Pedestrian Detection with Unsupervised Multi-stage Feature Learning. CVPR (2013)
Pierre Sermanet, Soumith Chintala, Yann LeCun
Convolutional Neural Networks Applied to House Numbers Digit Classification CoRR (2012)
Pierre Sermanet, Koray Kavukcuoglu, Soumith Chintala, Yann LeCun
Pedestrian Detection with Unsupervised Multi-Stage Feature Learning CoRR (2012)
Pierre Sermanet, Soumith Chintala, Yann LeCun
Convolutional neural networks applied to house numbers digit classification. ICPR (2012)
Aditya Chopra, Devang Negandhi, Soumith Chintala, A. Kannammal, N. Ch. Sriman Narayana Iyengar, V. Ramachandran
Frame based Intelligent Tutoring System with weighted attributes and adaptive hypermedia. Int. J. Electron. Bus. 8 (4/5) (2010)