Kirichenko, Polina

21 publications

NeurIPS 2025 AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions Polina Kirichenko, Mark Ibrahim, Kamalika Chaudhuri, Samuel Bell

ICLRW 2025 LACER: Loss-Aware Clustering for Effective Reweighting Saksham Rastogi, Polina Kirichenko

ICML 2025 Position: Supervised Classifiers Answer the Wrong Questions for OOD Detection Yucen Lily Li, Daohan Lu, Polina Kirichenko, Shikai Qiu, Tim G. J. Rudner, C. Bayan Bruss, Andrew Gordon Wilson

NeurIPS 2025 The Impact of Coreset Selection on Spurious Correlations and Group Robustness Amaya Dharmasiri, William Yang, Polina Kirichenko, Lydia T. Liu, Olga Russakovsky

NeurIPS 2025 What’s in Common? Multimodal Models Hallucinate When Reasoning Across Scenes Candace Ross, Florian Bordes, Adina Williams, Polina Kirichenko, Mark Ibrahim

ICMLW 2024 Decomposed Evaluations of Geographic Disparities in Text-to-Image Models Abhishek Sureddy, Dishant Padalia, Nandhinee Periyakaruppan, Oindrila Saha, Adina Williams, Adriana Romero-Soriano, Megan Richards, Polina Kirichenko, Melissa Hall

ICMLW 2024 Decomposed Evaluations of Geographic Disparities in Text-to-Image Models Abhishek Sureddy, Dishant Padalia, Nandhinee Periyakaruppan, Oindrila Saha, Adina Williams, Adriana Romero-Soriano, Megan Richards, Polina Kirichenko, Melissa Hall

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

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

ICLR 2023 Last Layer Re-Training Is Sufficient for Robustness to Spurious Correlations Polina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson

ICLRW 2023 Understanding the Class-Specific Effects of Data Augmentations Polina Kirichenko, Randall Balestriero, Mark Ibrahim, Shanmukha Ramakrishna Vedantam, Hamed Firooz, Andrew Gordon Wilson

NeurIPS 2023 Understanding the Detrimental Class-Level Effects of Data Augmentation Polina Kirichenko, Mark Ibrahim, Randall Balestriero, Diane Bouchacourt, Shanmukha Ramakrishna Vedantam, Hamed Firooz, Andrew G Wilson

NeurIPS 2022 Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers Wanqian Yang, Polina Kirichenko, Micah Goldblum, Andrew G Wilson

ICMLW 2022 Last Layer Re-Training Is Sufficient for Robustness to Spurious Correlations Polina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson

NeurIPS 2022 On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov, Polina Kirichenko, Nate Gruver, Andrew G Wilson

NeurIPS 2021 Does Knowledge Distillation Really Work? Samuel Stanton, Pavel Izmailov, Polina Kirichenko, Alexander A Alemi, Andrew G Wilson

ICMLW 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

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

NeurIPS 2020 Why Normalizing Flows Fail to Detect Out-of-Distribution Data Polina Kirichenko, Pavel Izmailov, Andrew G Wilson

ICML 2019 SWALP : Stochastic Weight Averaging in Low Precision Training Guandao Yang, Tianyi Zhang, Polina Kirichenko, Junwen Bai, Andrew Gordon Wilson, Chris De Sa

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