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Featured Researchers

Kyunghyun Cho
167 publications
Dhruv Batra
105 publications
Devi Parikh
104 publications
Lior Wolf
104 publications
Joelle Pineau
101 publications
Andrea Vedaldi
100 publications
Antonio Torralba
92 publications
Yann LeCun
81 publications
Li Chen
80 publications
Sebastian Riedel
78 publications
Luke Zettlemoyer
78 publications

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

Deep learning frameworks have often focused on either usability or speed...
12/03/2019 ∙ by Adam Paszke, et al. ∙ 90 ∙ share

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Feel The Music: Automatically Generating A Dance For An Input Song

We present a general computational approach that enables a machine to ge...
06/21/2020 ∙ by Purva Tendulkar, et al. ∙ 77 ∙ share

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Learning Causal State Representations of Partially Observable Environments

Intelligent agents can cope with sensory-rich environments by learning t...
06/25/2019 ∙ by Amy Zhang, et al. ∙ 68 ∙ share

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A Survey of Reinforcement Learning Informed by Natural Language

To be successful in real-world tasks, Reinforcement Learning (RL) needs ...
06/10/2019 ∙ by Jelena Luketina, et al. ∙ 52 ∙ share

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Streamlining Tensor and Network Pruning in PyTorch

In order to contrast the explosion in size of state-of-the-art machine l...
04/28/2020 ∙ by Michela Paganini, et al. ∙ 47 ∙ share

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nocaps: novel object captioning at scale

Image captioning models have achieved impressive results on datasets con...
12/20/2018 ∙ by Harsh Agrawal, et al. ∙ 46 ∙ share

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Exploratory Combinatorial Optimization with Reinforcement Learning

Many real-world problems can be reduced to combinatorial optimization on...
09/09/2019 ∙ by Thomas D. Barrett, et al. ∙ 35 ∙ share

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Learning with Random Learning Rates

Hyperparameter tuning is a bothersome step in the training of deep learn...
10/02/2018 ∙ by Léonard Blier, et al. ∙ 32 ∙ share

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Holistic Large Scale Video Understanding

Action recognition has been advanced in recent years by benchmarks with ...
04/25/2019 ∙ by Ali Diba, et al. ∙ 30 ∙ share

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Training with Quantization Noise for Extreme Model Compression

We tackle the problem of producing compact models, maximizing their accu...
04/15/2020 ∙ by Angela Fan, et al. ∙ 30 ∙ share

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Generating Interactive Worlds with Text

Procedurally generating cohesive and interesting game environments is ch...
11/20/2019 ∙ by Angela Fan, et al. ∙ 29 ∙ share

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Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning

In this paper, we address the problem of visually guided rearrangement p...
04/23/2019 ∙ by Sergey Zagoruyko, et al. ∙ 26 ∙ share

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Bayesian Relational Memory for Semantic Visual Navigation

We introduce a new memory architecture, Bayesian Relational Memory (BRM)...
09/10/2019 ∙ by Yi Wu, et al. ∙ 26 ∙ share

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Self-Supervised Learning by Cross-Modal Audio-Video Clustering

The visual and audio modalities are highly correlated yet they contain d...
11/28/2019 ∙ by Humam Alwassel, et al. ∙ 25 ∙ share

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DONeRF: Towards Real-Time Rendering of Neural Radiance Fields using Depth Oracle Networks

The recent research explosion around implicit neural representations, su...
03/04/2021 ∙ by Thomas Neff, et al. ∙ 25 ∙ share

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Convolutional Networks with Dense Connectivity

Recent work has shown that convolutional networks can be substantially d...
01/08/2020 ∙ by Gao Huang, et al. ∙ 24 ∙ share

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Single-Network Whole-Body Pose Estimation

We present the first single-network approach for 2D whole-body pose esti...
09/30/2019 ∙ by Gines Hidalgo, et al. ∙ 23 ∙ share

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Visual Transformers: Token-based Image Representation and Processing for Computer Vision

Computer vision has achieved great success using standardized image repr...
06/05/2020 ∙ by Bichen Wu, et al. ∙ 23 ∙ share

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Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA

Many visual scenes contain text that carries crucial information, and it...
11/14/2019 ∙ by Ronghang Hu, et al. ∙ 22 ∙ share

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Learning with AMIGo: Adversarially Motivated Intrinsic Goals

A key challenge for reinforcement learning (RL) consists of learning in ...
06/22/2020 ∙ by Andres Campero, et al. ∙ 22 ∙ share

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Emergent Linguistic Phenomena in Multi-Agent Communication Games

In this work, we propose a computational framework in which agents equip...
01/25/2019 ∙ by Laura Graesser, et al. ∙ 20 ∙ share

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Supervised Multimodal Bitransformers for Classifying Images and Text

Self-supervised bidirectional transformer models such as BERT have led t...
09/06/2019 ∙ by Douwe Kiela, et al. ∙ 19 ∙ share

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Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions

We present our view of what is necessary to build an engaging open-domai...
06/22/2020 ∙ by Stephen Roller, et al. ∙ 19 ∙ share

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Live Face De-Identification in Video

We propose a method for face de-identification that enables fully automa...
11/19/2019 ∙ by Oran Gafni, et al. ∙ 18 ∙ share

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Unsupervised Discovery of Decision States for Transfer in Reinforcement Learning

We present a hierarchical reinforcement learning (HRL) or options framew...
07/24/2019 ∙ by Nirbhay Modhe, et al. ∙ 17 ∙ share

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Linformer: Self-Attention with Linear Complexity

Large transformer models have shown extraordinary success in achieving s...
06/08/2020 ∙ by Sinong Wang, et al. ∙ 17 ∙ share

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Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance

Individual neurons in convolutional neural networks supervised for image...
08/08/2018 ∙ by Ramprasaath R. Selvaraju, et al. ∙ 16 ∙ share

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Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization

Bayesian optimization (BO) is a popular approach to optimize expensive-t...
01/31/2020 ∙ by Benjamin Letham, et al. ∙ 16 ∙ share

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TACTO: A Fast, Flexible and Open-source Simulator for High-Resolution Vision-based Tactile Sensors

Simulators perform an important role in prototyping, debugging and bench...
12/15/2020 ∙ by Shaoxiong Wang, et al. ∙ 16 ∙ share

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Unbiased Teacher for Semi-Supervised Object Detection

Semi-supervised learning, i.e., training networks with both labeled and ...
02/18/2021 ∙ by Yen-Cheng Liu, et al. ∙ 15 ∙ share

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Learning to Follow Language Instructions with Adversarial Reward Induction

Recent work has shown that deep reinforcement-learning agents can learn ...
06/05/2018 ∙ by Dzmitry Bahdanau, et al. ∙ 14 ∙ share

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Talk the Walk: Navigating New York City through Grounded Dialogue

We introduce "Talk The Walk", the first large-scale dialogue dataset gro...
07/09/2018 ∙ by Harm de Vries, et al. ∙ 14 ∙ share

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2.5D Visual Sound

Binaural audio provides a listener with 3D sound sensation, allowing a r...
12/11/2018 ∙ by Ruohan Gao, et al. ∙ 14 ∙ share

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Cycle-Consistency for Robust Visual Question Answering

Despite significant progress in Visual Question Answering over the years...
02/15/2019 ∙ by Meet Shah, et al. ∙ 14 ∙ share

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Analysing Mathematical Reasoning Abilities of Neural Models

Mathematical reasoning---a core ability within human intelligence---pres...
04/02/2019 ∙ by David Saxton, et al. ∙ 14 ∙ share

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Data-efficient Learning of Morphology and Controller for a Microrobot

Robot design is often a slow and difficult process requiring the iterati...
05/03/2019 ∙ by Thomas Liao, et al. ∙ 14 ∙ share

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Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning

Humans and animals are capable of quickly learning new behaviours to sol...
11/15/2019 ∙ by Kevin Sebastian Luck, et al. ∙ 14 ∙ share

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ContactPose: A Dataset of Grasps with Object Contact and Hand Pose

Grasping is natural for humans. However, it involves complex hand config...
07/19/2020 ∙ by Samarth Brahmbhatt, et al. ∙ 14 ∙ share

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Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets

Ideally Open-Domain Question Answering models should exhibit a number of...
08/06/2020 ∙ by Patrick Lewis, et al. ∙ 14 ∙ share

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DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare

We present DenseRaC, a novel end-to-end framework for jointly estimating...
09/30/2019 ∙ by Yuanlu Xu, et al. ∙ 13 ∙ share

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EGO-TOPO: Environment Affordances from Egocentric Video

First-person video naturally brings the use of a physical environment to...
01/14/2020 ∙ by Tushar Nagarajan, et al. ∙ 13 ∙ share

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An Imitation Game for Learning Semantic Parsers from User Interaction

Despite the widely successful applications, bootstrapping and fine-tunin...
05/02/2020 ∙ by Ziyu Yao, et al. ∙ 13 ∙ share

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Unsupervised Video Object Segmentation with Distractor-Aware Online Adaptation

Unsupervised video object segmentation is a crucial application in video...
12/19/2018 ∙ by Ye Wang, et al. ∙ 12 ∙ share

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Embodied Question Answering in Photorealistic Environments with Point Cloud Perception

To help bridge the gap between internet vision-style problems and the go...
04/06/2019 ∙ by Erik Wijmans, et al. ∙ 12 ∙ share

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Generalized Inner Loop Meta-Learning

Many (but not all) approaches self-qualifying as "meta-learning" in deep...
10/03/2019 ∙ by Edward Grefenstette, et al. ∙ 12 ∙ share

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TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook

Since its inception, Facebook has become an integral part of the online ...
02/18/2020 ∙ by Nima Noorshams, et al. ∙ 12 ∙ share

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Video Object Grounding using Semantic Roles in Language Description

We explore the task of Video Object Grounding (VOG), which grounds objec...
03/24/2020 ∙ by Arka Sadhu, et al. ∙ 12 ∙ share

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3D Photography using Context-aware Layered Depth Inpainting

We propose a method for converting a single RGB-D input image into a 3D ...
04/09/2020 ∙ by Meng-Li Shih, et al. ∙ 12 ∙ share

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Overcoming Statistical Shortcuts for Open-ended Visual Counting

Machine learning models tend to over-rely on statistical shortcuts. Thes...
06/17/2020 ∙ by Corentin Dancette, et al. ∙ 12 ∙ share

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DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation

Despite decades of research, general purpose in-hand manipulation remain...
05/29/2020 ∙ by Mike Lambeta, et al. ∙ 11 ∙ share

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