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Summary (spurious correlations)
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Classroom Contents
Neural Networks and Spurious Correlations
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- 1 Intro
- 2 Typical machine learning pipeline
- 3 Taming the neural network beasts
- 4 In this talk...
- 5 Models latch onto spurious correlations
- 6 Improving worst-group error Simple and well-studied approach: reweighting loss based on group proportion
- 7 Talk outline
- 8 Empirical performance of reweighting Task: bird type Spurious background
- 9 When do larger models have high worst-group error?
- 10 Can larger models obtain low worst-group error?
- 11 Empirical performance of subsampling
- 12 Summary (spurious correlations)
- 13 Why do networks pick up on spurious correlations?
- 14 Simplicity bias of neural networks
- 15 How to overcome simplicity bias
- 16 Just train twice - results
- 17 Parting thoughts
