Noga Zaslavsky
Noga Zaslavsky
Home
Research
Publications
Selected
Recent
All
CV
1
Let's talk (efficiently) about us: Person systems achieve near-optimal compression
Noga Zaslavsky*
,
Mora Maldonado*
,
Jennifer Culbertson
2021
CogSci
PDF
Cite
Proceedings
Competition from novel features drives scalar inferences in reference games
Jennifer Hu
,
Noga Zaslavsky
,
Roger P. Levy
2021
CogSci
PDF
Cite
Code
Proceedings
Probing artificial neural networks: insights from neuroscience
Anna A. Ivanova
,
John Hewitt
,
Noga Zaslavsky
2021
ICLR Brain2AI Workshop
PDF
ICLR Workshop
Cloze Distillation: Improving Neural Language Models with Human Next-Word Prediction
Tiwalayo Eisape
,
Noga Zaslavsky
,
Roger Levy
2020
CoNLL
PDF
Cite
DOI
Toward human-like object naming in artificial neural systems
Tiwalayo Eisape
,
Roger Levy
,
Joshua Tenenbaum
,
Noga Zaslavsky
2020
BAICS @ ICLR
PDF
Cite
Video
ICLR Workshop
Semantic categories of artifacts and animals reflect efficient coding
Noga Zaslavsky
,
Terry Regier
,
Naftali Tishby
,
Charles Kemp
2019
CogSci
PDF
Cite
Color naming reflects both perceptual structure and communicative need (earlier version)
Best paper award for computational modeling of language
Noga Zaslavsky
,
Charles Kemp
,
Naftali Tishby
,
Terry Regier
2018
CogSci
PDF
Cite
Efficient human-like semantic representations via the Information Bottleneck principle
Noga Zaslavsky
,
Charles Kemp
,
Terry Regier
,
Naftali Tishby
2017
CIAI @ NeurIPS
PDF
Cite
NeurIPS Workshop
Deep learning and the Information Bottleneck principle
Naftali Tishby
,
Noga Zaslavsky
2015
ITW
PDF
Cite
DOI
«
Cite
×