Soumith Chintala

According to our database, Soumith Chintala authored at least 37 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments.

Haritheja Etukuru, Norihito Naka, Zijin Hu, Seungjae Lee, Julian Mehu, Aaron Edsinger, Chris Paxton, Soumith Chintala, Lerrel Pinto, Nur Muhammad (Mahi) Shafiullah

CoRR, 2024

OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation.

Aadhithya Iyer, Zhuoran Peng, Yinlong Dai, Irmak Güzey, Siddhant Haldar, Soumith Chintala, Lerrel Pinto

CoRR, 2024

See to Touch: Learning Tactile Dexterity through Visual Incentives.

Irmak Güzey, Yinlong Dai, Ben Evans, Soumith Chintala, Lerrel Pinto

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation.

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

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Navigating to objects in the real world.

Théophile Gervet, Soumith Chintala, Dhruv Batra, Jitendra Malik, Devendra Singh Chaplot

Sci. Robotics, June, 2023

On Bringing Robots Home.

Nur Muhammad (Mahi) Shafiullah, Anant Rai, Haritheja Etukuru, Yiqian Liu, Ishan Misra, Soumith Chintala, Lerrel Pinto

CoRR, 2023

CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory.

Nur Muhammad (Mahi) Shafiullah, Chris Paxton, Lerrel Pinto, Soumith Chintala, Arthur Szlam

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

PyTorch RPC: Distributed Deep Learning Built on Tensor-Optimized Remote Procedure Calls.

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

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Holo-Dex: Teaching Dexterity with Immersive Mixed Reality.

Sridhar Pandian Arunachalam, Irmak Güzey, Soumith Chintala, Lerrel Pinto

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play.

Irmak Güzey, Ben Evans, Soumith Chintala, Lerrel Pinto

Proceedings of the Conference on Robot Learning, 2023

2022

Torchaudio: Building Blocks for Audio and Speech Processing.

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

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

TorchAudio: Building Blocks for Audio and Speech Processing.

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

CoRR, 2021

droidlet: modular, heterogenous, multi-modal agents.

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

PyTorch Distributed: Experiences on Accelerating Data Parallel Training.

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

Proc. VLDB Endow., 2020

2019

Generalized Inner Loop Meta-Learning.

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

CoRR, 2019

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

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective.

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

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018

2017

Training Language Models Using Target-Propagation.

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

CoRR, 2017

Wasserstein GAN.

Martín Arjovsky, Soumith Chintala, Léon Bottou

CoRR, 2017

Transformation-Based Models of Video Sequences.

Joost R. van Amersfoort, Anitha Kannan, Marc'Aurelio Ranzato, Arthur Szlam, Du Tran, Soumith Chintala

CoRR, 2017

Wasserstein Generative Adversarial Networks.

Martín Arjovsky, Soumith Chintala, Léon Bottou

Proceedings of the 34th International Conference on Machine Learning, 2017

Episodic Exploration for Deep Deterministic Policies for StarCraft Micromanagement.

Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala

Proceedings of the 5th International Conference on Learning Representations, 2017

Discovering Causal Signals in Images.

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

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

A Mathematical Motivation for Complex-Valued Convolutional Networks.

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

Neural Comput., 2016

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

Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala

CoRR, 2016

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

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

CoRR, 2016

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Alec Radford, Luke Metz, Soumith Chintala

Proceedings of the 4th International Conference on Learning Representations, 2016

Semantic Segmentation using Adversarial Networks.

Pauline Luc, Camille Couprie, Soumith Chintala, Jakob Verbeek

CoRR, 2016

A MultiPath Network for Object Detection.

Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro Oliveira Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Fast Convolutional Nets With fbfft: A GPU Performance Evaluation.

Nicolas Vasilache, Jeff Johnson, Michaël Mathieu, Soumith Chintala, Serkan Piantino, Yann LeCun

Proceedings of the 3rd International Conference on Learning Representations, 2015

MazeBase: A Sandbox for Learning from Games.

Sainbayar Sukhbaatar, Arthur Szlam, Gabriel Synnaeve, Soumith Chintala, Rob Fergus

CoRR, 2015

Scale-invariant learning and convolutional networks.

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

CoRR, 2015

A theoretical argument for complex-valued convolutional networks.

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

CoRR, 2015

Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks.

Emily L. Denton, Soumith Chintala, Arthur Szlam, Rob Fergus

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2013

Pedestrian Detection with Unsupervised Multi-stage Feature Learning.

Pierre Sermanet, Koray Kavukcuoglu, Soumith Chintala, Yann LeCun

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Convolutional neural networks applied to house numbers digit classification.

Pierre Sermanet, Soumith Chintala, Yann LeCun

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2010

Frame based Intelligent Tutoring System with weighted attributes and adaptive hypermedia.

Aditya Chopra, Devang Negandhi, Soumith Chintala, A. Kannammal, N. Ch. Sriman Narayana Iyengar, V. Ramachandran

Int. J. Electron. Bus., 2010