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Polina Kirichenko
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Year
Why normalizing flows fail to detect out-of-distribution data
P Kirichenko, P Izmailov, AG Wilson
Advances in Neural Information Processing Systems (NeurIPS), 2020
2472020
Last layer re-training is sufficient for robustness to spurious correlations
P Kirichenko, P Izmailov, AG Wilson
International Conference on Learning Representations (ICLR 2023), 2022
2252022
Does Knowledge Distillation Really Work?
S Stanton, P Izmailov, P Kirichenko, AA Alemi, AG Wilson
Advances in Neural Information Processing Systems (NeurIPS), 2021
1982021
Subspace inference for bayesian deep learning
P Izmailov, WJ Maddox, P Kirichenko, T Garipov, D Vetrov, AG Wilson
Uncertainty in Artificial Intelligence (UAI), 2019
1732019
Semi-Supervised Learning with Normalizing Flows
P Izmailov, P Kirichenko, M Finzi, AG Wilson
International Conference on Machine Learning (ICML), 2019
1262019
Swalp: Stochastic weight averaging in low-precision training
G Yang, T Zhang, P Kirichenko, J Bai, AG Wilson, C De Sa
International Conference on Machine Learning (ICML), 2019
1062019
On Feature Learning in the Presence of Spurious Correlations
P Izmailov, P Kirichenko, N Gruver, AG Wilson
Advances in Neural Information Processing Systems (NeurIPS), 2022
792022
Invertible convolutional networks
M Finzi, P Izmailov, W Maddox, P Kirichenko, AG Wilson
Workshop on Invertible Neural Nets and Normalizing Flows, International …, 2019
212019
Effective Surrogate Models for Protein Design with Bayesian Optimization
N Gruver, S Stanton, P Kirichenko, M Finzi, P Maffettone, V Myers, ...
2021 ICML Workshop on Computational Biology, 2021
162021
Task-agnostic continual learning with hybrid probabilistic models
P Kirichenko, M Farajtabar, D Rao, B Lakshminarayanan, N Levine, A Li, ...
Workshop on Invertible Neural Nets and Normalizing Flows, International …, 2021
162021
Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data?
M Richards, P Kirichenko, D Bouchacourt, M Ibrahim
The Twelfth International Conference on Learning Representations, 0
8*
Chroma-vae: Mitigating shortcut learning with generative classifiers
W Yang, P Kirichenko, M Goldblum, AG Wilson
Advances in Neural Information Processing Systems 35, 20351-20365, 2022
72022
Understanding the Detrimental Class-level Effects of Data Augmentation
P Kirichenko, M Ibrahim, R Balestriero, D Bouchacourt, R Vedantam, ...
Advances in Neural Information Processing Systems (NeurIPS), 2023
6*2023
Modeling Caption Diversity in Contrastive Vision-Language Pretraining
S Lavoie, P Kirichenko, M Ibrahim, M Assran, AG Wildon, A Courville, ...
International Conference on Machine Learning (ICML 2024), 2024
22024
Decomposed evaluations of geographic disparities in text-to-image models
A Sureddy, D Padalia, N Periyakaruppa, O Saha, A Williams, ...
arXiv preprint arXiv:2406.11988, 2024
2024
On the Reliability of Deep Learning Models: Uncertainty and Generalization Under Distribution Shifts
P Kirichenko
New York University, 2024
2024
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Articles 1–16