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09/21/2023
See to Touch: Learning Tactile Dexterity through Visual Incentives
Equipping multi-fingered robots with tactile sensing is crucial for achi...
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03/21/2023
Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play
Teaching dexterity to multi-fingered robots has been a longstanding chal...
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12/02/2022
Navigating to Objects in the Real World
Semantic navigation is necessary to deploy mobile robots in uncontrolled...
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10/12/2022
Holo-Dex: Teaching Dexterity with Immersive Mixed Reality
A fundamental challenge in teaching robots is to provide an effective in...
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10/11/2022
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory
We propose CLIP-Fields, an implicit scene model that can be trained with...
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10/28/2021
TorchAudio: Building Blocks for Audio and Speech Processing
This document describes version 0.10 of torchaudio: building blocks for ...
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06/28/2020
PyTorch Distributed: Experiences on Accelerating Data Parallel Training
This paper presents the design, implementation, and evaluation of the Py...
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12/03/2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Deep learning frameworks have often focused on either usability or speed...
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10/03/2019
Generalized Inner Loop Meta-Learning
Many (but not all) approaches self-qualifying as "meta-learning" in deep...
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02/15/2017
Training Language Models Using Target-Propagation
While Truncated Back-Propagation through Time (BPTT) is the most popular...
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01/29/2017
Transformation-Based Models of Video Sequences
In this work we propose a simple unsupervised approach for next frame pr...
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01/26/2017
Wasserstein GAN
We introduce a new algorithm named WGAN, an alternative to traditional G...
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11/25/2016
Semantic Segmentation using Adversarial Networks
Adversarial training has been shown to produce state of the art results ...
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11/01/2016
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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09/10/2016
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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05/26/2016
Discovering Causal Signals in Images
This paper establishes the existence of observable footprints that revea...
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04/07/2016
A MultiPath Network for Object Detection
The recent COCO object detection dataset presents several new challenges...
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11/23/2015
MazeBase: A Sandbox for Learning from Games
This paper introduces MazeBase: an environment for simple 2D games, desi...
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06/26/2015
Convolutional networks and learning invariant to homogeneous multiplicative scalings
The conventional classification schemes -- notably multinomial logistic ...
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06/18/2015
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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03/11/2015
A mathematical motivation for complex-valued convolutional networks
A complex-valued convolutional network (convnet) implements the repeated...
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12/24/2014
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation
We examine the performance profile of Convolutional Neural Network train...
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12/01/2012
Pedestrian Detection with Unsupervised Multi-Stage Feature Learning
Pedestrian detection is a problem of considerable practical interest. Ad...
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04/18/2012
