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Polina Kirichenko
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Why normalizing flows fail to detect out-of-distribution data
P Kirichenko, P Izmailov, AG Wilson
Advances in Neural Information Processing Systems (NeurIPS), 2020
2182020
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
1822022
Subspace inference for bayesian deep learning
P Izmailov, WJ Maddox, P Kirichenko, T Garipov, D Vetrov, AG Wilson
Uncertainty in Artificial Intelligence (UAI), 2019
1562019
Does Knowledge Distillation Really Work?
S Stanton, P Izmailov, P Kirichenko, AA Alemi, AG Wilson
Advances in Neural Information Processing Systems (NeurIPS), 2021
1552021
Semi-Supervised Learning with Normalizing Flows
P Izmailov, P Kirichenko, M Finzi, AG Wilson
International Conference on Machine Learning (ICML), 2019
1092019
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
982019
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
662022
Invertible convolutional networks
M Finzi, P Izmailov, W Maddox, P Kirichenko, AG Wilson
Workshop on Invertible Neural Nets and Normalizing Flows, International …, 2019
192019
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
142021
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
132021
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
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, 2023
5*2023
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
2*2023
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