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Featured Researchers

Kyunghyun Cho
138 publications
Devi Parikh
84 publications
Dhruv Batra
83 publications
Yann LeCun
80 publications
Abhinav Gupta
79 publications
Andrea Vedaldi
78 publications
Lior Wolf
74 publications
Joelle Pineau
71 publications
Antonio Torralba
65 publications
Luke Zettlemoyer
58 publications
Kristen Grauman
57 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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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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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. ∙ 34 ∙ 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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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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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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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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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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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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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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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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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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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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NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

We study the problem of large-scale network embedding, which aims to lea...
06/26/2019 ∙ by Jiezhong Qiu, et al. ∙ 10 ∙ share

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Reducing Transformer Depth on Demand with Structured Dropout

Overparameterized transformer networks have obtained state of the art re...
09/25/2019 ∙ by Angela Fan, et al. ∙ 10 ∙ share

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Unsupervised Question Answering by Cloze Translation

Obtaining training data for Question Answering (QA) is time-consuming an...
06/12/2019 ∙ by Patrick Lewis, et al. ∙ 9 ∙ share

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Canonical Surface Mapping via Geometric Cycle Consistency

We explore the task of Canonical Surface Mapping (CSM). Specifically, gi...
07/23/2019 ∙ by Nilesh Kulkarni, et al. ∙ 9 ∙ share

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Specifying Object Attributes and Relations in Interactive Scene Generation

We introduce a method for the generation of images from an input scene g...
09/11/2019 ∙ by Oron Ashual, et al. ∙ 9 ∙ share

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Listen to Look: Action Recognition by Previewing Audio

In the face of the video data deluge, today's expensive clip-level class...
12/10/2019 ∙ by Ruohan Gao, et al. ∙ 9 ∙ share

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XNLI: Evaluating Cross-lingual Sentence Representations

State-of-the-art natural language processing systems rely on supervision...
09/13/2018 ∙ by Alexis Conneau, et al. ∙ 8 ∙ share

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Grounded Video Description

Video description is one of the most challenging problems in vision and ...
12/17/2018 ∙ by Luowei Zhou, et al. ∙ 8 ∙ share

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On the Evaluation of Conditional GANs

Conditional Generative Adversarial Networks (cGANs) are finding increasi...
07/11/2019 ∙ by Terrance DeVries, et al. ∙ 8 ∙ share

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GeoStyle: Discovering Fashion Trends and Events

Understanding fashion styles and trends is of great potential interest t...
08/29/2019 ∙ by Utkarsh Mall, et al. ∙ 7 ∙ share

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Object-centric Forward Modeling for Model Predictive Control

We present an approach to learn an object-centric forward model, and sho...
10/08/2019 ∙ by Yufei Ye, et al. ∙ 7 ∙ share

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Unsupervised Learning of the Set of Local Maxima

This paper describes a new form of unsupervised learning, whose input is...
01/14/2020 ∙ by Lior Wolf, et al. ∙ 7 ∙ share

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Sidekick Policy Learning for Active Visual Exploration

We consider an active visual exploration scenario, where an agent must i...
07/29/2018 ∙ by Santhosh K. Ramakrishnan, et al. ∙ 6 ∙ share

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A theoretical framework for deep locally connected ReLU network

Understanding theoretical properties of deep and locally connected nonli...
09/28/2018 ∙ by Yuandong Tian, et al. ∙ 6 ∙ share

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Natural Environment Benchmarks for Reinforcement Learning

While current benchmark reinforcement learning (RL) tasks have been usef...
11/14/2018 ∙ by Amy Zhang, et al. ∙ 6 ∙ share

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Grounded Human-Object Interaction Hotspots from Video

Learning how to interact with objects is an important step towards embod...
12/11/2018 ∙ by Tushar Nagarajan, et al. ∙ 6 ∙ share

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Cooperative Learning of Disjoint Syntax and Semantics

There has been considerable attention devoted to models that learn to jo...
02/25/2019 ∙ by Serhii Havrylov, et al. ∙ 6 ∙ share

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