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02/07/2023
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs
Graph neural networks that model 3D data, such as point clouds or atoms,...
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11/29/2022
AdsorbML: Accelerating Adsorption Energy Calculations with Machine Learning
Computational catalysis is playing an increasingly significant role in t...
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06/29/2022
Spherical Channels for Modeling Atomic Interactions
Modeling the energy and forces of atomic systems is a fundamental proble...
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06/17/2022
The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysis
Computational catalysis and machine learning communities have made consi...
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04/06/2022
How Do Graph Networks Generalize to Large and Diverse Molecular Systems?
The predominant method of demonstrating progress of atomic graph neural ...
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03/18/2022
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations
Recent progress in Graph Neural Networks (GNNs) for modeling atomic simu...
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11/17/2021
Compositional Transformers for Scene Generation
We introduce the GANformer2 model, an iterative object-oriented transfor...
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06/17/2021
Rotation Invariant Graph Neural Networks using Spin Convolutions
Progress towards the energy breakthroughs needed to combat climate chang...
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03/02/2021
ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations
With massive amounts of atomic simulation data available, there is a hug...
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03/01/2021
Generative Adversarial Transformers
We introduce the GANsformer, a novel and efficient type of transformer, ...
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11/19/2020
Creative Sketch Generation
Sketching or doodling is a popular creative activity that people engage ...
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10/20/2020
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
Catalyst discovery and optimization is key to solving many societal and ...
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10/14/2020
An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage
Scalable and cost-effective solutions to renewable energy storage are es...
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05/15/2020
Exploring Crowd Co-creation Scenarios for Sketches
As a first step towards studying the ability of human crowds and machine...
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04/14/2020
End-to-End Variational Networks for Accelerated MRI Reconstruction
The slow acquisition speed of magnetic resonance imaging (MRI) has led t...
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01/06/2020
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
Purpose: To advance research in the field of machine learning for MR ima...
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10/27/2019
GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction
Magnetic Resonance Image (MRI) acquisition is an inherently slow process...
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07/22/2019
Why Build an Assistant in Minecraft?
In this document we describe a rationale for a research program aimed at...
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07/19/2019
CraftAssist: A Framework for Dialogue-enabled Interactive Agents
This paper describes an implementation of a bot assistant in Minecraft, ...
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02/12/2019
ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero
The AlphaGo, AlphaGo Zero, and AlphaZero series of algorithms are a rema...
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11/21/2018
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
Accelerating Magnetic Resonance Imaging (MRI) by taking fewer measuremen...
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07/04/2017
ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games
In this paper, we propose ELF, an Extensive, Lightweight and Flexible pl...
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05/10/2017
Inferring and Executing Programs for Visual Reasoning
Existing methods for visual reasoning attempt to directly map inputs to ...
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12/20/2016
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
When building artificial intelligence systems that can reason and answer...
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08/31/2016
Measuring Machine Intelligence Through Visual Question Answering
As machines have become more intelligent, there has been a renewed inter...
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06/17/2016
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?
We conduct large-scale studies on `human attention' in Visual Question A...
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04/13/2016
Visual Storytelling
We introduce the first dataset for sequential vision-to-language, and ex...
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03/28/2016
Shuffle and Learn: Unsupervised Learning using Temporal Order Verification
In this paper, we present an approach for learning a visual representati...
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12/22/2015
Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels
When human annotators are given a choice about what to label in an image...
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12/14/2015
We Are Humor Beings: Understanding and Predicting Visual Humor
Humor is an integral part of human lives. Despite being tremendously imp...
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12/14/2015
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
It is well known that contextual and multi-scale representations are imp...
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05/03/2015
VQA: Visual Question Answering
We propose the task of free-form and open-ended Visual Question Answerin...
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04/01/2015
Microsoft COCO Captions: Data Collection and Evaluation Server
In this paper we describe the Microsoft COCO Caption dataset and evaluat...
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11/20/2014
CIDEr: Consensus-based Image Description Evaluation
Automatically describing an image with a sentence is a long-standing cha...
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11/20/2014
Learning a Recurrent Visual Representation for Image Caption Generation
In this paper we explore the bi-directional mapping between images and t...
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11/18/2014
From Captions to Visual Concepts and Back
This paper presents a novel approach for automatically generating image ...
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11/12/2014
Collecting Image Description Datasets using Crowdsourcing
We describe our two new datasets with images described by humans. Both t...
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06/20/2014
Fast Edge Detection Using Structured Forests
Edge detection is a critical component of many vision systems, including...
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05/01/2014
