SWALP : Stochastic Weight Averaging in Low Precision Training. - Guandao Yang; Tianyi Zhang; Polina Kirichenko; Junwen Bai; Andrew Gordon Wilson; Christopher De Sa (ICML, 2019)

Subspace Inference for Bayesian Deep Learning. - Pavel Izmailov; Wesley J. Maddox; Polina Kirichenko; Timur Garipov; Dmitry P. Vetrov; Andrew Gordon Wilson (UAI, 2019)

Semi-Supervised Learning with Normalizing Flows. - Pavel Izmailov; Polina Kirichenko; Marc Finzi; Andrew Gordon Wilson (ICML, 2020)

Why Normalizing Flows Fail to Detect Out-of-Distribution Data. - Polina Kirichenko; Pavel Izmailov; Andrew Gordon Wilson (NeurIPS, 2020)

Does Knowledge Distillation Really Work? - Samuel Stanton; Pavel Izmailov; Polina Kirichenko; Alexander A. Alemi; Andrew Gordon Wilson (NeurIPS, 2021)

Task-agnostic Continual Learning with Hybrid Probabilistic Models. - Polina Kirichenko; Mehrdad Farajtabar; Dushyant Rao; Balaji Lakshminarayanan; Nir Levine; Ang Li; Huiyi Hu; Andrew Gordon Wilson; Razvan Pascanu (CoRR, 2021)

On Feature Learning in the Presence of Spurious Correlations. - Pavel Izmailov; Polina Kirichenko; Nate Gruver; Andrew Gordon Wilson (NeurIPS, 2022)

Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers. - Wanqian Yang; Polina Kirichenko; Micah Goldblum; Andrew Gordon Wilson (NeurIPS, 2022)

Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations. - Polina Kirichenko; Pavel Izmailov; Andrew Gordon Wilson (ICLR, 2023)

Understanding the detrimental class-level effects of data augmentation. - Polina Kirichenko; Mark Ibrahim; Randall Balestriero; Diane Bouchacourt; Shanmukha Ramakrishna Vedantam; Hamed Firooz; Andrew Gordon Wilson (NeurIPS, 2023)

Does Progress On Object Recognition Benchmarks Improve Real-World Generalization? - Megan Richards; Polina Kirichenko; Diane Bouchacourt; Mark Ibrahim (CoRR, 2023)

Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data? - Megan Richards; Polina Kirichenko; Diane Bouchacourt; Mark Ibrahim (ICLR, 2024)

Modeling Caption Diversity in Contrastive Vision-Language Pretraining. - Samuel Lavoie; Polina Kirichenko; Mark Ibrahim; Mido Assran; Andrew Gordon Wilson; Aaron C. Courville; Nicolas Ballas (ICML, 2024)

Decomposed evaluations of geographic disparities in text-to-image models. - Abhishek Sureddy; Dishant Padalia; Nandhinee Periyakaruppa; Oindrila Saha; Adina Williams; Adriana Romero-Soriano; Megan Richards; Polina Kirichenko; Melissa Hall (CoRR, 2024)

COMPACT: COMPositional Atomic-to-Complex Visual Capability Tuning. - Xindi Wu; Hee Seung Hwang; Polina Kirichenko; Olga Russakovsky (CoRR, 2025)

AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions. - Polina Kirichenko; Mark Ibrahim; Kamalika Chaudhuri; Samuel J. Bell (CoRR, 2025)

Out-of-Distribution Detection Methods Answer the Wrong Questions. - Yucen Lily Li; Daohan Lu; Polina Kirichenko; Shikai Qiu; Tim G. J. Rudner; C. Bayan Bruss; Andrew Gordon Wilson (CoRR, 2025)

The Impact of Coreset Selection on Spurious Correlations and Group Robustness. - Amaya Dharmasiri; William Yang; Polina Kirichenko; Lydia Liu; Olga Russakovsky (CoRR, 2025)