Andrew Saxe - researchr alias

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Viewing Publication 1 - 10 from 10

2023

Know your audience: specializing grounded language models with listener subtractionAaditya K. Singh, David Ding, Andrew Saxe, Felix Hill, Andrew K. Lampinen. eacl 2023: 3866-3893 [doi]

2022

Exact learning dynamics of deep linear networks with prior knowledgeLukas Braun, Clémentine Dominé, James FitzGerald, Andrew Saxe. nips 2022: [doi]

The Neural Race Reduction: Dynamics of Abstraction in Gated NetworksAndrew Saxe, Shagun Sodhani, Sam Jay Lewallen. icml 2022: 19287-19309 [doi]

2020

Characterizing emergent representations in a space of candidate learning rules for deep networksYinan Cao, Christopher Summerfield, Andrew Saxe. nips 2020: [doi]

2018

Are Efficient Deep Representations Learnable?Maxwell Nye, Andrew Saxe. iclr 2018: [doi]

2017

Multitasking Capability Versus Learning Efficiency in Neural Network ArchitecturesSebastian Musslick, Andrew Saxe, Kayhan Özcimder, Biswadip Dey, Greg Henselman, Jonathan D. Cohen. cogsci 2017: [doi]

2016

Inferring actions, intentions, and causal relations in a neural networkAndrew Saxe. cogsci 2016: [doi]

2014

Modeling Perceptual Learning with Deep NetworksRachel Lee, Andrew Saxe. cogsci 2014: [doi]

Multitask model-free reinforcement learningAndrew Saxe. cogsci 2014: [doi]

Deep Learning and the BrainAndrew Saxe. cogsci 2014: [doi]

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