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Noga Zaslavsky

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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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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