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Towards Human-Agent Communication via the Information Bottleneck Principle


Jun 30, 2022
Mycal Tucker, Julie Shah, Roger Levy, Noga Zaslavsky

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Scalable pragmatic communication via self-supervision


Aug 12, 2021
Jennifer Hu, Roger Levy, Noga Zaslavsky

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* Workshop on Self-Supervised Learning @ ICML 2021 

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Probing artificial neural networks: insights from neuroscience


Apr 16, 2021
Anna A. Ivanova, John Hewitt, Noga Zaslavsky

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* ICLR 2021 Workshop: How Can Findings About The Brain Improve AI Systems? 

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A Rate-Distortion view of human pragmatic reasoning


May 13, 2020
Noga Zaslavsky, Jennifer Hu, Roger P. Levy

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Semantic categories of artifacts and animals reflect efficient coding


May 11, 2019
Noga Zaslavsky, Terry Regier, Naftali Tishby, Charles Kemp

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* To appear in the proceedings of the 41st Annual Conference of the Cognitive Science Society (CogSci 2019) 

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Efficient human-like semantic representations via the Information Bottleneck principle


Aug 09, 2018
Noga Zaslavsky, Charles Kemp, Terry Regier, Naftali Tishby

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* Cognitively Informed Artificial Intelligence Workshop at NIPS 2017 

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Color naming reflects both perceptual structure and communicative need


Aug 03, 2018
Noga Zaslavsky, Charles Kemp, Naftali Tishby, Terry Regier

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* Proceedings of the 40th Annual Conference of the Cognitive Science Society (pp. 1250 - 1255), 2018 

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Deep Learning and the Information Bottleneck Principle


Mar 09, 2015
Naftali Tishby, Noga Zaslavsky

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* 5 pages, 2 figures, Invited paper to ITW 2015; 2015 IEEE Information Theory Workshop (ITW) (IEEE ITW 2015) 

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