Eric Gan
4 papers · 2023–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (4) π Cross-Pollinator (13) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (16)
β
The Questioner
Conferences
AISTATS (1)
ICLR (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
simplicity bia
(3)
gradient descent
(2)
inductive bia
(2)
sharpness-aware minimization
(1)
importance sampling
(1)
spurious correlation
(1)
feature suppression
(1)
worst-group accuracy
(1)
group robustness
(1)
neural network
(1)
class collapse
(1)
in-distribution generalization
(1)
representation learning
(1)
subclass representation
(1)
contrastive learning
(1)
feature learning
(1)
Papers
Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization
NIPS 2024
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias
AISTATS 2024
Investigating the Benefits of Projection Head for Representation Learning
ICLR 2024
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression
ICML 2023