Polina Kirichenko

31 papers A* 10A 1Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions. CoRR Polina Kirichenko, Mark Ibrahim, Kamalika Chaudhuri, Samuel J. Bell
2025	J	`jnl`	COMPACT: COMPositional Atomic-to-Complex Visual Capability Tuning. CoRR Xindi Wu, Hee Seung Hwang, Polina Kirichenko, Olga Russakovsky
2025	J	`jnl`	LLM Knowledge is Brittle: Truthfulness Representations Rely on Superficial Resemblance. CoRR Patrick Haller, Mark Ibrahim, Polina Kirichenko, Levent Sagun, Samuel J. Bell
2025	J	`jnl`	Out-of-Distribution Detection Methods Answer the Wrong Questions. CoRR Yucen Lily Li, Daohan Lu, Polina Kirichenko, Shikai Qiu, Tim G. J. Rudner, C. Bayan Bruss, Andrew Gordon Wilson
2025	—	`conf`	Position: Supervised Classifiers Answer the Wrong Questions for OOD Detection. ICML (Position Papers) Yucen Lily Li, Daohan Lu, Polina Kirichenko, Shikai Qiu, Tim G. J. Rudner, C. Bayan Bruss, Andrew Gordon Wilson
2025	J	`jnl`	The Impact of Coreset Selection on Spurious Correlations and Group Robustness. CoRR Amaya Dharmasiri, William Yang, Polina Kirichenko, Lydia T. Liu, Olga Russakovsky
2025	J	`jnl`	What's in Common? Multimodal Models Hallucinate When Reasoning Across Scenes. CoRR Candace Ross, Florian Bordes, Adina Williams, Polina Kirichenko, Mark Ibrahim
2024	J	`jnl`	Decomposed evaluations of geographic disparities in text-to-image models. CoRR Abhishek Sureddy, Dishant Padalia, Nandhinee Periyakaruppa, Oindrila Saha, Adina Williams, Adriana Romero-Soriano, Megan Richards, Polina Kirichenko, Melissa Hall
2024	A*	`conf`	Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data? ICLR Megan Richards, Polina Kirichenko, Diane Bouchacourt, Mark Ibrahim
2024	A*	`conf`	Modeling Caption Diversity in Contrastive Vision-Language Pretraining. ICML Samuel Lavoie, Polina Kirichenko, Mark Ibrahim, Mido Assran, Andrew Gordon Wilson, Aaron C. Courville, Nicolas Ballas
2024	J	`jnl`	Modeling Caption Diversity in Contrastive Vision-Language Pretraining. CoRR Samuel Lavoie, Polina Kirichenko, Mark Ibrahim, Mahmoud Assran, Andrew Gordon Wilson, Aaron C. Courville, Nicolas Ballas
2024	J	`jnl`	Understanding the Detrimental Class-level Effects of Data Augmentation. CoRR Polina Kirichenko, Mark Ibrahim, Randall Balestriero, Diane Bouchacourt, Ramakrishna Vedantam, Hamed Firooz, Andrew Gordon Wilson
2023	J	`jnl`	Does Progress On Object Recognition Benchmarks Improve Real-World Generalization? CoRR Megan Richards, Polina Kirichenko, Diane Bouchacourt, Mark Ibrahim
2023	A*	`conf`	Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations. ICLR Polina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson
2023	A*	`conf`	Understanding the detrimental class-level effects of data augmentation. NeurIPS Polina Kirichenko, Mark Ibrahim, Randall Balestriero, Diane Bouchacourt, Shanmukha Ramakrishna Vedantam, Hamed Firooz, Andrew Gordon Wilson
2022	A*	`conf`	Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers. NeurIPS Wanqian Yang, Polina Kirichenko, Micah Goldblum, Andrew Gordon Wilson
2022	J	`jnl`	Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers. CoRR Wanqian Yang, Polina Kirichenko, Micah Goldblum, Andrew Gordon Wilson
2022	J	`jnl`	Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations. CoRR Polina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson
2022	A*	`conf`	On Feature Learning in the Presence of Spurious Correlations. NeurIPS Pavel Izmailov, Polina Kirichenko, Nate Gruver, Andrew Gordon Wilson
2022	J	`jnl`	On Feature Learning in the Presence of Spurious Correlations. CoRR Pavel Izmailov, Polina Kirichenko, Nate Gruver, Andrew Gordon Wilson
2021	A*	`conf`	Does Knowledge Distillation Really Work? NeurIPS Samuel Stanton, Pavel Izmailov, Polina Kirichenko, Alexander A. Alemi, Andrew Gordon Wilson
2021	J	`jnl`	Does Knowledge Distillation Really Work? CoRR Samuel Stanton, Pavel Izmailov, Polina Kirichenko, Alexander A. Alemi, Andrew Gordon Wilson
2021	J	`jnl`	Task-agnostic Continual Learning with Hybrid Probabilistic Models. CoRR Polina Kirichenko, Mehrdad Farajtabar, Dushyant Rao, Balaji Lakshminarayanan, Nir Levine, Ang Li, Huiyi Hu, Andrew Gordon Wilson, Razvan Pascanu
2020	A*	`conf`	Semi-Supervised Learning with Normalizing Flows. ICML Pavel Izmailov, Polina Kirichenko, Marc Finzi, Andrew Gordon Wilson
2020	A*	`conf`	Why Normalizing Flows Fail to Detect Out-of-Distribution Data. NeurIPS Polina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson
2020	J	`jnl`	Why Normalizing Flows Fail to Detect Out-of-Distribution Data. CoRR Polina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson
2019	A*	`conf`	SWALP : Stochastic Weight Averaging in Low Precision Training. ICML Guandao Yang, Tianyi Zhang, Polina Kirichenko, Junwen Bai, Andrew Gordon Wilson, Christopher De Sa
2019	J	`jnl`	SWALP : Stochastic Weight Averaging in Low-Precision Training. CoRR Guandao Yang, Tianyi Zhang, Polina Kirichenko, Junwen Bai, Andrew Gordon Wilson, Christopher De Sa
2019	J	`jnl`	Semi-Supervised Learning with Normalizing Flows. CoRR Pavel Izmailov, Polina Kirichenko, Marc Finzi, Andrew Gordon Wilson
2019	A	`conf`	Subspace Inference for Bayesian Deep Learning. UAI Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson
2019	J	`jnl`	Subspace Inference for Bayesian Deep Learning. CoRR Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson