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06/14/2023
Improving Selective Visual Question Answering by Learning from Your Peers
Despite advances in Visual Question Answering (VQA), the ability of mode...
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05/11/2023
Simple Token-Level Confidence Improves Caption Correctness
The ability to judge whether a caption correctly describes an image is a...
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04/05/2023
Segment Anything
We introduce the Segment Anything (SA) project: a new task, model, and d...
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04/28/2022
Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly
Machine learning has advanced dramatically, narrowing the accuracy gap t...
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07/19/2021
Separating Skills and Concepts for Novel Visual Question Answering
Generalization to out-of-distribution data has been a problem for Visual...
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11/26/2020
Learning from Lexical Perturbations for Consistent Visual Question Answering
Existing Visual Question Answering (VQA) models are often fragile and se...
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10/19/2020
Global Attention for Name Tagging
Many name tagging approaches use local contextual information with much ...
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05/05/2020
Cross-media Structured Common Space for Multimedia Event Extraction
We introduce a new task, MultiMedia Event Extraction (M2E2), which aims ...
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11/05/2019
A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies
Traditional first-order logic (FOL) reasoning systems usually rely on ma...
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11/05/2019
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks
Textual entailment is a fundamental task in natural language processing....
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08/16/2019
Studying Wythoff and Zometool Constructions using Maple
We describe a Maple package that serves at least four purposes. First, o...
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05/15/2018
Paper Abstract Writing through Editing Mechanism
We present a paper abstract writing system based on an attentive neural ...
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04/21/2018
