Polina Kirichenko

According to our database, Polina Kirichenko authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Modeling Caption Diversity in Contrastive Vision-Language Pretraining.

Samuel Lavoie, Polina Kirichenko, Mark Ibrahim, Mahmoud Assran, Andrew Gordon Wilson, Aaron C. Courville, Nicolas Ballas

CoRR, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data?

Megan Richards, Polina Kirichenko, Diane Bouchacourt, Mark Ibrahim

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Does Progress On Object Recognition Benchmarks Improve Real-World Generalization?

Megan Richards, Polina Kirichenko, Diane Bouchacourt, Mark Ibrahim

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations.

Polina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers.

Wanqian Yang, Polina Kirichenko, Micah Goldblum, Andrew Gordon Wilson

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On Feature Learning in the Presence of Spurious Correlations.

Pavel Izmailov, Polina Kirichenko, Nate Gruver, Andrew Gordon Wilson

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Does Knowledge Distillation Really Work?

Samuel Stanton, Pavel Izmailov, Polina Kirichenko, Alexander A. Alemi, Andrew Gordon Wilson

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Why Normalizing Flows Fail to Detect Out-of-Distribution Data.

Polina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Semi-Supervised Learning with Normalizing Flows.

Pavel Izmailov, Polina Kirichenko, Marc Finzi, Andrew Gordon Wilson

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Subspace Inference for Bayesian Deep Learning.

Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

SWALP : Stochastic Weight Averaging in Low Precision Training.

Guandao Yang, Tianyi Zhang, Polina Kirichenko, Junwen Bai, Andrew Gordon Wilson, Christopher De Sa

Proceedings of the 36th International Conference on Machine Learning, 2019