Christopher Clark | DeepAI

DeepAI AI Chat

Featured Co-authors

Mohit Bansal
184 publications
Luke Zettlemoyer
160 publications
Ali Farhadi
106 publications
Hannaneh Hajishirzi
102 publications
Mohit Iyyer
57 publications
Matt Gardner
55 publications
Amos Storkey
54 publications
Aniruddha Kembhavi
53 publications
Roozbeh Mottaghi
53 publications
Derek Hoiem
34 publications
Michael Collins
33 publications

∙ 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...

0 Adyasha Maharana, et al. ∙

∙ 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...

0 Sophia Gu, et al. ∙

∙ 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...

14 Jiasen Lu, et al. ∙

∙ 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...

13 Dustin Schwenk, et al. ∙

∙ 02/04/2022

Webly Supervised Concept Expansion for General Purpose Vision Models

General purpose vision (GPV) systems are models that are designed to sol...

0 Amita Kamath, et al. ∙

∙ 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...

8 Christopher Clark, et al. ∙

∙ 11/07/2020

Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles

Many datasets have been shown to contain incidental correlations created...

0 Christopher Clark, et al. ∙

∙ 11/01/2019

Long-distance Detection of Bioacoustic Events with Per-channel Energy Normalization

This paper proposes to perform unsupervised detection of bioacoustic eve...

0 Vincent Lostanlen, et al. ∙

∙ 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...

10 Christopher Clark, et al. ∙

∙ 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 ---...

0 Christopher Clark, et al. ∙

∙ 02/15/2018

Deep contextualized word representations

We introduce a new type of deep contextualized word representation that ...

0 Matthew E. Peters, et al. ∙

∙ 10/29/2017

Simple and Effective Multi-Paragraph Reading Comprehension

We consider the problem of adapting neural paragraph-level question answ...

0 Christopher Clark, et al. ∙

∙ 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...

0 Christopher Clark, et al. ∙

∙ 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...

0 Mohammad Pourhomayoun, et al. ∙

∙ 05/15/2013

Classification for Big Dataset of Bioacoustic Signals Based on Human Scoring System and Artificial Neural Network

In this paper, we propose a method to improve sound classification perfo...

0 Mohammad Pourhomayoun, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world