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PyTorch Distributed: Experiences on Accelerating Data Parallel Training
This paper presents the design, implementation, and evaluation of the Py...
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PyTorch: An Imperative Style, High-Performance Deep Learning Library
Deep learning frameworks have often focused on either usability or speed...
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Generalized Inner Loop Meta-Learning
Many (but not all) approaches self-qualifying as "meta-learning" in deep...
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Training Language Models Using Target-Propagation
While Truncated Back-Propagation through Time (BPTT) is the most popular...
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Transformation-Based Models of Video Sequences
In this work we propose a simple unsupervised approach for next frame pr...
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Wasserstein GAN
We introduce a new algorithm named WGAN, an alternative to traditional G...
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Semantic Segmentation using Adversarial Networks
Adversarial training has been shown to produce state of the art results ...
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TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games
We present TorchCraft, a library that enables deep learning research on ...
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Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks
We consider scenarios from the real-time strategy game StarCraft as new ...
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Discovering Causal Signals in Images
This paper establishes the existence of observable footprints that revea...
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A MultiPath Network for Object Detection
The recent COCO object detection dataset presents several new challenges...
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MazeBase: A Sandbox for Learning from Games
This paper introduces MazeBase: an environment for simple 2D games, desi...
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Convolutional networks and learning invariant to homogeneous multiplicative scalings
The conventional classification schemes -- notably multinomial logistic ...
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Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
In this paper we introduce a generative parametric model capable of prod...
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A mathematical motivation for complex-valued convolutional networks
A complex-valued convolutional network (convnet) implements the repeated...
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Fast Convolutional Nets With fbfft: A GPU Performance Evaluation
We examine the performance profile of Convolutional Neural Network train...
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Pedestrian Detection with Unsupervised Multi-Stage Feature Learning
Pedestrian detection is a problem of considerable practical interest. Ad...
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Convolutional Neural Networks Applied to House Numbers Digit Classification
We classify digits of real-world house numbers using convolutional neura...
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