Soumith Chintala

According to our database1, Soumith Chintala authored at least 25 papers between 2010 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018

2017
Training Language Models Using Target-Propagation.
CoRR, 2017

Wasserstein GAN.
CoRR, 2017

Transformation-Based Models of Video Sequences.
CoRR, 2017

Wasserstein Generative Adversarial Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

Discovering Causal Signals in Images.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
A Mathematical Motivation for Complex-Valued Convolutional Networks.
Neural Computation, 2016

A MultiPath Network for Object Detection.
CoRR, 2016

Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks.
CoRR, 2016

TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games.
CoRR, 2016

Semantic Segmentation using Adversarial Networks.
CoRR, 2016

Discovering Causal Signals in Images.
CoRR, 2016

A MultiPath Network for Object Detection.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
MazeBase: A Sandbox for Learning from Games.
CoRR, 2015

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.
CoRR, 2015

Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks.
CoRR, 2015

Scale-invariant learning and convolutional networks.
CoRR, 2015

A theoretical argument for complex-valued convolutional networks.
CoRR, 2015

Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation.
CoRR, 2014

2013
Pedestrian Detection with Unsupervised Multi-stage Feature Learning.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Pedestrian Detection with Unsupervised Multi-Stage Feature Learning
CoRR, 2012

Convolutional Neural Networks Applied to House Numbers Digit Classification
CoRR, 2012

Convolutional neural networks applied to house numbers digit classification.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2010
Frame based Intelligent Tutoring System with weighted attributes and adaptive hypermedia.
IJEB, 2010


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