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03/28/2023
Exposing and Addressing Cross-Task Inconsistency in Unified Vision-Language Models
As general purpose vision models get increasingly effective at a wide se...
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11/17/2022
I Can't Believe There's No Images! Learning Visual Tasks Using only Language Data
Many high-level skills that are required for computer vision tasks, such...
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06/17/2022
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks
We propose Unified-IO, a model that performs a large variety of AI tasks...
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06/03/2022
A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge
The Visual Question Answering (VQA) task aspires to provide a meaningful...
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02/04/2022
Webly Supervised Concept Expansion for General Purpose Vision Models
General purpose vision (GPV) systems are models that are designed to sol...
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12/01/2021
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text
Communicating with humans is challenging for AIs because it requires a s...
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11/07/2020
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles
Many datasets have been shown to contain incidental correlations created...
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11/01/2019
Long-distance Detection of Bioacoustic Events with Per-channel Energy Normalization
This paper proposes to perform unsupervised detection of bioacoustic eve...
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09/09/2019
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
State-of-the-art models often make use of superficial patterns in the da...
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05/24/2019
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
In this paper we study yes/no questions that are naturally occurring ---...
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02/15/2018
Deep contextualized word representations
We introduce a new type of deep contextualized word representation that ...
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10/29/2017
Simple and Effective Multi-Paragraph Reading Comprehension
We consider the problem of adapting neural paragraph-level question answ...
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12/10/2014
Teaching Deep Convolutional Neural Networks to Play Go
Mastering the game of Go has remained a long standing challenge to the f...
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05/15/2013
Bioacoustic Signal Classification Based on Continuous Region Processing, Grid Masking and Artificial Neural Network
In this paper, we develop a novel method based on machine-learning and i...
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05/15/2013
