Polina Kirichenko
12 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Interdisciplinary Bridge π Conference Polyglot (4) π£ Hot Topic Early Bird π Cross-Pollinator (15)
πΊοΈ
Taxonomy Completionist
(23)
π
Interdisciplinary Bridge
π
Conference Pioneer
π₯
Unstoppable
(7)
π
Trend Setter
β
The Questioner
(2)
π
Century Club
(12)
Conferences
NIPS (5)
ICML (4)
ICLR (2)
UAI (1)
Top co-authors
Keywords
normalizing flow
(2)
image classification
(2)
semi-supervised learning
(1)
stochastic gradient descent
(1)
uncertainty quantification
(1)
feature learning
(1)
domain generalization
(1)
feature representation
(1)
variational inference
(1)
bayesian inference
(1)
image generation
(1)
knowledge distillation
(1)
data augmentation
(1)
deep learning
(1)
shortcut learning
(1)
empirical risk minimization
(1)
model averaging
(1)
posterior approximation
(1)
generative model
(1)
generative modeling
(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
Understanding the detrimental class-level effects of data augmentation
NIPS 2023
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
ICLR 2023
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
NIPS 2022
On Feature Learning in the Presence of Spurious Correlations
NIPS 2022
Does Knowledge Distillation Really Work?
NIPS 2021
Why Normalizing Flows Fail to Detect Out-of-Distribution Data
NIPS 2020
Semi-Supervised Learning with Normalizing Flows
ICML 2020
SWALP : Stochastic Weight Averaging in Low Precision Training
ICML 2019
Subspace Inference for Bayesian Deep Learning
UAI 2019