| Why normalizing flows fail to detect out-of-distribution data P Kirichenko, P Izmailov, AG Wilson Advances in Neural Information Processing Systems (NeurIPS), 2020 | 289 | 2020 |
| 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 | 280 | 2022 |
| Does Knowledge Distillation Really Work? S Stanton, P Izmailov, P Kirichenko, AA Alemi, AG Wilson Advances in Neural Information Processing Systems (NeurIPS), 2021 | 237 | 2021 |
| Subspace inference for bayesian deep learning P Izmailov, WJ Maddox, P Kirichenko, T Garipov, D Vetrov, AG Wilson Uncertainty in Artificial Intelligence (UAI), 2019 | 190 | 2019 |
| Semi-Supervised Learning with Normalizing Flows P Izmailov, P Kirichenko, M Finzi, AG Wilson International Conference on Machine Learning (ICML), 2019 | 132 | 2019 |
| 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 | 112 | 2019 |
| 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 | 103 | 2022 |
| Invertible convolutional networks M Finzi, P Izmailov, W Maddox, P Kirichenko, AG Wilson Workshop on Invertible Neural Nets and Normalizing Flows, International …, 2019 | 25 | 2019 |
| 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 | 20 | 2021 |
| 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 | 20 | 2021 |
| 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 | 12 | 2024 |
| 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, 2024 | 11* | 2024 |
| 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 | 11 | 2022 |
| 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 | 9* | 2023 |
| 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 |
| Workshop on Spurious Correlation and Shortcut Learning: Foundations and Solutions H Asadollahzadeh, M Ghaznavi, MS Baghshah, MH Rohban, S Qiu, ... ICLR 2025 Workshop Proposals, 0 | | |
Andrew Gordon WilsonNew York UniversityVerified email at cims.nyu.edu
