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 002 (Int. J. Electron. Bus., 2010)

Convolutional neural networks applied to house numbers digit classification. - Pierre Sermanet; Soumith Chintala; Yann LeCun (ICPR, 2012)

Pedestrian Detection with Unsupervised Multi-stage Feature Learning. - Pierre Sermanet; Koray Kavukcuoglu; Soumith Chintala; Yann LeCun (CVPR, 2013)

Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks. - Emily L. Denton; Soumith Chintala; Arthur Szlam; Rob Fergus (NIPS, 2015)

A theoretical argument for complex-valued convolutional networks. - Joan Bruna; Soumith Chintala; Yann LeCun; Serkan Piantino; Arthur Szlam; Mark Tygert (CoRR, 2015)

Scale-invariant learning and convolutional networks. - Soumith Chintala; Marc'Aurelio Ranzato; Arthur Szlam; Yuandong Tian; Mark Tygert; Wojciech Zaremba (CoRR, 2015)

MazeBase: A Sandbox for Learning from Games. - Sainbayar Sukhbaatar; Arthur Szlam; Gabriel Synnaeve; Soumith Chintala; Rob Fergus (CoRR, 2015)

Fast Convolutional Nets With fbfft: A GPU Performance Evaluation. - Nicolas Vasilache; Jeff Johnson; Michaël Mathieu; Soumith Chintala; Serkan Piantino; Yann LeCun (ICLR, 2015)

A MultiPath Network for Object Detection. - Sergey Zagoruyko; Adam Lerer; Tsung-Yi Lin; Pedro Oliveira Pinheiro; Sam Gross; Soumith Chintala; Piotr Dollár (BMVC, 2016)

Semantic Segmentation using Adversarial Networks. - Pauline Luc; Camille Couprie; Soumith Chintala; Jakob Verbeek (CoRR, 2016)

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. - Alec Radford; Luke Metz; Soumith Chintala (ICLR (Poster), 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)

Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks. - Nicolas Usunier; Gabriel Synnaeve; Zeming Lin; Soumith Chintala (CoRR, 2016)

A Mathematical Motivation for Complex-Valued Convolutional Networks. - Mark Tygert; Joan Bruna; Soumith Chintala; Yann LeCun; Serkan Piantino; Arthur Szlam (Neural Comput., 2016)

Discovering Causal Signals in Images. - David Lopez-Paz; Robert Nishihara; Soumith Chintala; Bernhard Schölkopf; Léon Bottou (CVPR, 2017)

Episodic Exploration for Deep Deterministic Policies for StarCraft Micromanagement. - Nicolas Usunier; Gabriel Synnaeve; Zeming Lin; Soumith Chintala (ICLR (Poster), 2017)

Wasserstein Generative Adversarial Networks. - Martín Arjovsky; Soumith Chintala; Léon Bottou (ICML, 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 GAN. - Martín Arjovsky; Soumith Chintala; Léon Bottou (CoRR, 2017)

Training Language Models Using Target-Propagation. - Sam Wiseman; Sumit Chopra; Marc'Aurelio Ranzato; Arthur Szlam; Ruoyu Sun 004; Soumith Chintala; Nicolas Vasilache (CoRR, 2017)

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; et al. (HPCA, 2018)

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; et al. (NeurIPS, 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 Distributed: Experiences on Accelerating Data Parallel Training. - Shen Li; Yanli Zhao; Rohan Varma; Omkar Salpekar; Pieter Noordhuis; Teng Li 009; Adam Paszke; Jeff Smith; Brian Vaughan; Pritam Damania; Soumith Chintala (Proc. VLDB Endow., 2020)

droidlet: modular, heterogenous, multi-modal agents. - Anurag Pratik; Soumith Chintala; Kavya Srinet; Dhiraj Gandhi; Rebecca Qian; Yuxuan Sun 004; Ryan Drew; Sara Elkafrawy; Anoushka Tiwari; Tucker Hart; Mary Williamson; Abhinav Gupta 001; et al. (ICRA, 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; et al. (CoRR, 2021)

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; et al. (ICASSP, 2022)

Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play. - Irmak Güzey; Ben Evans; Soumith Chintala; Lerrel Pinto (CoRL, 2023)

Holo-Dex: Teaching Dexterity with Immersive Mixed Reality. - Sridhar Pandian Arunachalam; Irmak Güzey; Soumith Chintala; Lerrel Pinto (ICRA, 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; et al. (MLSys, 2023)

CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory. - Nur Muhammad (Mahi) Shafiullah; Chris Paxton 001; Lerrel Pinto; Soumith Chintala; Arthur Szlam (Robotics: Science and Systems, 2023)

On Bringing Robots Home. - Nur Muhammad (Mahi) Shafiullah; Anant Rai; Haritheja Etukuru; Yiqian Liu; Ishan Misra; Soumith Chintala; Lerrel Pinto (CoRR, 2023)

Navigating to objects in the real world. - Théophile Gervet; Soumith Chintala; Dhruv Batra; Jitendra Malik; Devendra Singh Chaplot (Sci. Robotics, 2023)

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 008; David Berard; Evgeni Burovski; Geeta Chauhan; Anjali Chourdia; et al. (ASPLOS (2), 2024)

OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation. - Aadhithya Iyer; Zhuoran Peng; Yinlong Dai; Irmak Güzey; Siddhant Haldar; Soumith Chintala; Lerrel Pinto (CoRL, 2024)

See to Touch: Learning Tactile Dexterity through Visual Incentives. - Irmak Güzey; Yinlong Dai; Ben Evans; Soumith Chintala; Lerrel Pinto (ICRA, 2024)

Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments. - Haritheja Etukuru; Norihito Naka; Zijin Hu; Seungjae Lee 001; Julian Mehu; Aaron Edsinger; Chris Paxton 001; Soumith Chintala; Lerrel Pinto; Nur Muhammad (Mahi) Shafiullah (CoRR, 2024)

DynaMem: Online Dynamic Spatio-Semantic Memory for Open World Mobile Manipulation. - Peiqi Liu; Zhanqiu Guo; Mohit Warke; Soumith Chintala; Chris Paxton 001; Nur Muhammad Shafiullah; Lerrel Pinto (CoRR, 2024)