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Articles by
Andrew Saxe
Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning
12 October 2024 by
Daniel Kunin
and
others
Machine Learning
,
Artificial Intelligence
Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks
8 October 2024 by
Stefano Sarao Mannelli
and
others
at
University College London
Machine Learning
,
Disordered Systems and Neural Networks
Early learning of the optimal constant solution in neural networks and humans
25 June 2024 by
Jirko Rubruck
and
others
Machine Learning
When Are Bias-Free ReLU Networks Like Linear Networks?
18 June 2024 by
Yedi Zhang
and
others
Machine Learning
Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning
12 June 2024 by
Jin Hwa Lee
and
others
at
University College London
Neurons and Cognition
,
Disordered Systems and Neural Networks
The RL Perceptron: Generalisation Dynamics of Policy Learning in High Dimensions
2 September 2023 by
Nishil Patel
and
others
Machine Learning
,
Disordered Systems and Neural Networks
Organizing memories for generalization in complementary learning systems
20 July 2023 by
Wangchun Sun
and
others
Neuroscience
Are task representations gated in macaque prefrontal cortex?
29 June 2023 by
Timo Flesch
and
others
Neurons and Cognition
Know your audience: specializing grounded language models with listener subtraction
1 May 2023 by
Aaditya Singh
and
others
Machine Learning
,
Artificial Intelligence
An Analytical Theory of Curriculum Learning in Teacher-Student Networks
12 October 2022 by
Luca Saglietti
and
others
Machine Learning
,
Disordered Systems and Neural Networks
Continual task learning in natural and artificial agents
10 October 2022 by
Timo Flesch
and
others
Neurons and Cognition
,
Machine Learning
Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals
5 September 2022 by
Timo Flesch
and
others
Neurons and Cognition
,
Machine Learning
Maslow's Hammer for Catastrophic Forgetting: Node Re-Use vs Node Activation
18 May 2022 by
Sebastian Lee
and
others
Machine Learning
Probing transfer learning with a model of synthetic correlated datasets
2 February 2022 by
Federica Gerace
and
others
Machine Learning
,
Disordered Systems and Neural Networks
Rich and lazy learning of task representations in brains and neural networks
31 January 2022 by
T. Flesch
and
others
at
University of Oxford
Neuroscience
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity
9 July 2021 by
Sebastian Lee
and
others
Machine Learning
,
Statistical Mechanics
If deep learning is the answer, then what is the question?
17 April 2020 by
Andrew Saxe
and
others
Neurons and Cognition
Are Efficient Deep Representations Learnable?
17 July 2018 by
Maxwell Nye
and
Andrew Saxe
Machine Learning
,
Neural and Evolutionary Computing
Tensor Switching Networks
31 October 2016 by
Chuan-Yung Tsai
and
others
at
Harvard University
Neural and Evolutionary Computing
,
Machine Learning