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simplicity bia

12 papers

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Co-occurring keywords

neural network (6616) inductive bia (272) gradient descent (1144) feature learning (1311) stochastic gradient descent (1091) neural network optimization (1293) representation learning (6206) infinite width (20) worst-group accuracy (19) overparameterized learning (7)

Papers

Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild CVPR 2025
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias AISTATS 2024
Simplicity Bias in Overparameterized Machine Learning AAAI 2024
Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization NIPS 2024
Neural Redshift: Random Networks are not Random Functions CVPR 2024
A distributional simplicity bias in the learning dynamics of transformers NIPS 2024
Simplicity Bias in 1-Hidden Layer Neural Networks NIPS 2023
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve ICML 2023
Neural networks trained with SGD learn distributions of increasing complexity ICML 2023
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression ICML 2023
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions With Superior OOD Generalization CVPR 2022
The Pitfalls of Simplicity Bias in Neural Networks NIPS 2020