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Andrew Saxe
ORCID
Publication Activity (10 Years)
Years Active: 2016-2023
Publications (10 Years): 11
Top Topics
Exact Learning
Document Ranking
Language Model
Neural Network
Top Venues
CoRR
CogSci
NeurIPS
EACL
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Publications
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Yedi Zhang
,
Peter E. Latham
,
Andrew Saxe
A Theory of Unimodal Bias in Multimodal Learning.
CoRR
(2023)
Aaditya K. Singh
,
David Ding
,
Andrew Saxe
,
Felix Hill
,
Andrew K. Lampinen
Know your audience: specializing grounded language models with listener subtraction.
EACL
(2023)
Timo Flesch
,
Andrew Saxe
,
Christopher Summerfield
Continual task learning in natural and artificial agents.
CoRR
(2022)
Timo Flesch
,
David G. Nagy
,
Andrew Saxe
,
Christopher Summerfield
Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals.
CoRR
(2022)
Lukas Braun
,
Clémentine Dominé
,
James Fitzgerald
,
Andrew Saxe
Exact learning dynamics of deep linear networks with prior knowledge.
NeurIPS
(2022)
Aaditya K. Singh
,
David Ding
,
Andrew Saxe
,
Felix Hill
,
Andrew K. Lampinen
Know your audience: specializing grounded language models with the game of Dixit.
CoRR
(2022)
Yinan Cao
,
Christopher Summerfield
,
Andrew Saxe
Characterizing emergent representations in a space of candidate learning rules for deep networks.
NeurIPS
(2020)
Maxwell Nye
,
Andrew Saxe
Are Efficient Deep Representations Learnable?
CoRR
(2018)
Maxwell Nye
,
Andrew Saxe
Are Efficient Deep Representations Learnable?
ICLR (Workshop)
(2018)
Sebastian Musslick
,
Andrew Saxe
,
Kayhan Özcimder
,
Biswadip Dey
,
Greg Henselman
,
Jonathan D. Cohen
Multitasking Capability Versus Learning Efficiency in Neural Network Architectures.
CogSci
(2017)
Andrew Saxe
Inferring actions, intentions, and causal relations in a neural network.
CogSci
(2016)