Polina Kirichenko
12 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Research topics
Machine Learning
(12)
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(4)
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(3)
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(3)
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(2)
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(2)
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(2)
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(1)
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(1)
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(1)
Keywords
image classification
(3)
domain generalization
(2)
normalizing flow
(2)
spurious correlation
(2)
transfer learning
(1)
semi-supervised learning
(1)
zero-shot learning
(1)
empirical risk minimization
(1)
stochastic gradient descent
(1)
variational inference
(1)
image generation
(1)
bayesian inference
(1)
object recognition
(1)
uncertainty quantification
(1)
data augmentation
(1)
knowledge distillation
(1)
deep learning
(1)
feature representation
(1)
feature learning
(1)
shortcut learning
(1)
Papers
Position: Supervised Classifiers Answer the Wrong Questions for OOD Detection
ICML 2025
Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data?
ICLR 2024
Modeling Caption Diversity in Contrastive Vision-Language Pretraining
ICML 2024
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
ICLR 2023
Understanding the detrimental class-level effects of data augmentation
NeurIPS 2023
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
NeurIPS 2022
On Feature Learning in the Presence of Spurious Correlations
NeurIPS 2022
Does Knowledge Distillation Really Work?
NeurIPS 2021
Semi-Supervised Learning with Normalizing Flows
ICML 2020
Why Normalizing Flows Fail to Detect Out-of-Distribution Data
NeurIPS 2020
Subspace Inference for Bayesian Deep Learning
UAI 2019
SWALP : Stochastic Weight Averaging in Low Precision Training
ICML 2019