Andrew Saxe
12 papers · 2009–2024 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
๐ Renaissance Researcher (5) ๐บ๏ธ Taxonomy Completionist (11) ๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer ๐ฃ Hot Topic Early Bird
๐
Conference Polyglot
(3)
๐
Academic Marathon
(15)
๐
Cross-Pollinator
(12)
๐
Keyword Trendsetter Combo
(4)
๐
Keyword Champion
(2)
๐๏ธ
Keyword Collector
(72)
๐ฅ
Unstoppable
(5)
๐
Century Club
(12)
๐
Trend Setter
Conferences
NIPS (8)
ICML (3)
EACL (1)
Top co-authors
Keywords
neural network
(5)
representation learning
(4)
catastrophic forgetting
(3)
feature learning
(3)
learning dynamics
(3)
unsupervised learning
(3)
continual learning
(3)
multi-task learning
(2)
transfer learning
(2)
task similarity
(2)
receptive field
(2)
sparse coding
(1)
computer vision
(1)
computational neuroscience
(1)
domain adaptation
(1)
sample complexity
(1)
network architecture
(1)
unsupervised feature learning
(1)
in-context learning
(1)
knowledge transfer
(1)
Papers
Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning
NIPS 2024
Nonlinear dynamics of localization in neural receptive fields
NIPS 2024
The Transient Nature of Emergent In-Context Learning in Transformers
NIPS 2023
Know your audience: specializing grounded language models with listener subtraction
EACL 2023
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks
ICML 2022
Exact learning dynamics of deep linear networks with prior knowledge
NIPS 2022
An Analytical Theory of Curriculum Learning in Teacher-Student Networks
NIPS 2022
Maslowโs Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation
ICML 2022
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity
ICML 2021
Characterizing emergent representations in a space of candidate learning rules for deep networks
NIPS 2020
Unsupervised learning models of primary cortical receptive fields and receptive field plasticity
NIPS 2011
Measuring Invariances in Deep Networks
NIPS 2009