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researcher

P. Kirichenko

13 papers hereh-index 141.9k citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author8

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • cs.LG9
  • cs.CV3
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20192025
most citedLast Layer Re-Training is Sufficient for Robustness to Spurious Correlations

32 citations · 154 across the 13 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

cs.LG2022★ 1 cited

Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers

Wanqian Yang, Polina Kirichenko, Micah Goldblum +1

Deep neural networks are susceptible to shortcut learning, using simple features to achieve low training loss without discovering essential semantic structure. Contrary to prior be…

cs.LG2022★ 23 cited

On Feature Learning in the Presence of Spurious Correlations

Pavel Izmailov, Polina Kirichenko, Nate Gruver +1

Deep classifiers are known to rely on spurious features $\unicode{x2013}$ patterns which are correlated with the target on the training data but not inherently relevant to the lear…

cs.LG2022★ 32 cited

Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Polina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson

Neural network classifiers can largely rely on simple spurious features, such as backgrounds, to make predictions. However, even in these cases, we show that they still often learn…

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