Noga Zaslavsky

According to our database, Noga Zaslavsky authored at least 23 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Human-Guided Complexity-Controlled Abstractions.

Andi Peng, Mycal Tucker, Eoin M. Kenny, Noga Zaslavsky, Pulkit Agrawal, Julie A. Shah

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Evidence for a language-independent conceptual representation of pronominal referents.

Mora Maldonado, Noga Zaslavsky, Jennifer Culbertson

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

Towards Human-Agent Communication via the Information Bottleneck Principle.

Mycal Tucker, Julie Shah, Roger Levy, Noga Zaslavsky

CoRR, 2022

Trading off Utility, Informativeness, and Complexity in Emergent Communication.

Mycal Tucker, Roger Levy, Julie A. Shah, Noga Zaslavsky

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The information geometry of pragmatic reasoning.

Noga Zaslavsky

Proceedings of the International Symposium on Artificial Intelligence and Mathematics 2022 (ISAIM 2022), 2022

Teasing apart models of pragmatics using optimal reference game design.

Irene Zhou, Jennifer Hu, Roger Levy, Noga Zaslavsky

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

The emergence of discrete and systematic communication in a continuous signal-meaning space.

Alicia M. Chen, Matthias Hofer, Moshe Poliak, Roger Levy, Noga Zaslavsky

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Scalable pragmatic communication via self-supervision.

Jennifer Hu, Roger Levy, Noga Zaslavsky

CoRR, 2021

Probing artificial neural networks: insights from neuroscience.

Anna A. Ivanova, John Hewitt, Noga Zaslavsky

CoRR, 2021

Empirical Support for a Rate-Distortion Account of Pragmatic Reasoning.

Irene Zhou, Jennifer Hu, Roger Levy, Noga Zaslavsky

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Let's talk (efficiently) about us: Person systems achieve near-optimal compression.

Noga Zaslavsky, Mora Maldonado, Jennifer Culbertson

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Competition from novel features drives scalar inferences in reference games.

Jennifer Hu, Noga Zaslavsky, Roger Levy

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

A Rate-Distortion view of human pragmatic reasoning.

Noga Zaslavsky, Jennifer Hu, Roger P. Levy

CoRR, 2020

Cloze Distillation: Improving Neural Language Models with Human Next-Word Prediction.

Tiwalayo Eisape, Noga Zaslavsky, Roger Levy

Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

2019

Color Naming Reflects Both Perceptual Structure and Communicative Need.

Noga Zaslavsky, Charles Kemp, Naftali Tishby, Terry Regier

Top. Cogn. Sci., 2019

Semantic categories of artifacts and animals reflect efficient coding.

Noga Zaslavsky, Terry Regier, Naftali Tishby, Charles Kemp

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Communicative need and color naming.

Noga Zaslavsky, Charles Kemp, Naftali Tishby, Terry Regier

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Evolution and efficiency in color naming: The case of Nafaanra.

Noga Zaslavsky, Karee Garvin, Charles Kemp, Naftali Tishby, Terry Regier

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Efficient compression in color naming and its evolution.

Noga Zaslavsky, Charles Kemp, Terry Regier, Naftali Tishby

Proc. Natl. Acad. Sci. USA, 2018

Efficient human-like semantic representations via the Information Bottleneck principle.

Noga Zaslavsky, Charles Kemp, Terry Regier, Naftali Tishby

CoRR, 2018

Information-theoretic efficiency and semantic variation: The case of color naming.

Noga Zaslavsky, Charles Kemp, Terry Regier, Naftali Tishby

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

Efficient encoding of motion is mediated by gap junctions in the fly visual system.

Siwei Wang, Alexander Borst, Noga Zaslavsky, Naftali Tishby, Idan Segev

PLoS Comput. Biol., 2017

2015

Deep learning and the information bottleneck principle.

Naftali Tishby, Noga Zaslavsky

Proceedings of the 2015 IEEE Information Theory Workshop, 2015