John Foley | DeepAI

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Featured Co-authors

Bhaskar Mitra
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Rosie Jones
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Asia Biega
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John C. Baez
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Emma Tosch
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Laura Dietz
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∙ 09/26/2020

Operads for Designing Systems of Systems

System of systems engineering seeks to analyze, design and deploy collec...

0 John C. Baez, et al. ∙

∙ 12/20/2019

Report on the First HIPstIR Workshop on the Future of Information Retrieval

The vision of HIPstIR is that early stage information retrieval (IR) res...

0 Laura Dietz, et al. ∙

∙ 05/07/2019

Toybox: A Suite of Environments for Experimental Evaluation of Deep Reinforcement Learning

Evaluation of deep reinforcement learning (RL) is inherently challenging...

0 Emma Tosch, et al. ∙

∙ 04/12/2019

Let's Play Again: Variability of Deep Reinforcement Learning Agents in Atari Environments

Reproducibility in reinforcement learning is challenging: uncontrolled s...

0 Kaleigh Clary, et al. ∙

∙ 04/07/2019

Network Models from Petri Nets with Catalysts

Petri networks and network models are two frameworks for the composition...

0 John C. Baez, et al. ∙

∙ 12/06/2018

ToyBox: Better Atari Environments for Testing Reinforcement Learning Agents

It is a widely accepted principle that software without tests has bugs. ...

0 John Foley, et al. ∙

∙ 06/13/2018

Explainable Agreement through Simulation for Tasks with Subjective Labels

The field of information retrieval often works with limited and noisy da...

0 John Foley, et al. ∙

∙ 06/12/2018

Named Entity Recognition with Extremely Limited Data

Traditional information retrieval treats named entity recognition as a p...

0 John Foley, et al. ∙

∙ 05/01/2018

On the Equivalence of Generative and Discriminative Formulations of the Sequential Dependence Model

The sequential dependence model (SDM) is a popular retrieval model which...

0 Laura Dietz, et al. ∙

∙ 01/08/2018

Term Relevance Feedback for Contextual Named Entity Retrieval

We address the role of a user in Contextual Named Entity Retrieval (CNER...

0 Sheikh Muhammad Sarwar, et al. ∙

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