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ORCIDPolina Kirichenko
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2020 – today
- 2024
[c11]Megan Richards, Polina Kirichenko, Diane Bouchacourt, Mark Ibrahim:
Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data? ICLR 2024- [c10]Samuel Lavoie, Polina Kirichenko, Mark Ibrahim, Mido Assran, Andrew Gordon Wilson, Aaron C. Courville, Nicolas Ballas:
Modeling Caption Diversity in Contrastive Vision-Language Pretraining. ICML 2024 - [i13]Polina Kirichenko, Mark Ibrahim, Randall Balestriero, Diane Bouchacourt, Ramakrishna Vedantam, Hamed Firooz, Andrew Gordon Wilson:
Understanding the Detrimental Class-level Effects of Data Augmentation. CoRR abs/2401.01764 (2024) - [i12]Samuel Lavoie, Polina Kirichenko, Mark Ibrahim, Mahmoud Assran, Andrew Gordon Wilson, Aaron C. Courville, Nicolas Ballas:
Modeling Caption Diversity in Contrastive Vision-Language Pretraining. CoRR abs/2405.00740 (2024) - [i11]Abhishek Sureddy, Dishant Padalia, Nandhinee Periyakaruppa, Oindrila Saha, Adina Williams, Adriana Romero-Soriano, Megan Richards, Polina Kirichenko, Melissa Hall:
Decomposed evaluations of geographic disparities in text-to-image models. CoRR abs/2406.11988 (2024) - 2023
- [c9]Polina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson:
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations. ICLR 2023 - [c8]Polina Kirichenko, Mark Ibrahim, Randall Balestriero, Diane Bouchacourt, Shanmukha Ramakrishna Vedantam, Hamed Firooz, Andrew Gordon Wilson:
Understanding the detrimental class-level effects of data augmentation. NeurIPS 2023 - [i10]Megan Richards, Polina Kirichenko, Diane Bouchacourt, Mark Ibrahim:
Does Progress On Object Recognition Benchmarks Improve Real-World Generalization? CoRR abs/2307.13136 (2023) - 2022
- [c7]Pavel Izmailov, Polina Kirichenko, Nate Gruver, Andrew Gordon Wilson:
On Feature Learning in the Presence of Spurious Correlations. NeurIPS 2022 - [c6]Wanqian Yang, Polina Kirichenko, Micah Goldblum, Andrew Gordon Wilson:
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers. NeurIPS 2022 - [i9]Polina Kirichenko, Pavel Izmailov
, Andrew Gordon Wilson:
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations. CoRR abs/2204.02937 (2022) - [i8]Pavel Izmailov, Polina Kirichenko, Nate Gruver, Andrew Gordon Wilson:
On Feature Learning in the Presence of Spurious Correlations. CoRR abs/2210.11369 (2022) - [i7]Wanqian Yang, Polina Kirichenko, Micah Goldblum, Andrew Gordon Wilson:
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers. CoRR abs/2211.15231 (2022) - 2021
- [c5]Samuel Stanton, Pavel Izmailov, Polina Kirichenko, Alexander A. Alemi, Andrew Gordon Wilson:
Does Knowledge Distillation Really Work? NeurIPS 2021: 6906-6919 - [i6]Samuel Stanton, Pavel Izmailov, Polina Kirichenko, Alexander A. Alemi, Andrew Gordon Wilson:
Does Knowledge Distillation Really Work? CoRR abs/2106.05945 (2021) - [i5]Polina Kirichenko, Mehrdad Farajtabar, Dushyant Rao, Balaji Lakshminarayanan, Nir Levine, Ang Li, Huiyi Hu, Andrew Gordon Wilson, Razvan Pascanu:
Task-agnostic Continual Learning with Hybrid Probabilistic Models. CoRR abs/2106.12772 (2021) - 2020
- [c4]Pavel Izmailov, Polina Kirichenko, Marc Finzi, Andrew Gordon Wilson:
Semi-Supervised Learning with Normalizing Flows. ICML 2020: 4615-4630 - [c3]Polina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson:
Why Normalizing Flows Fail to Detect Out-of-Distribution Data. NeurIPS 2020 - [i4]Polina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson:
Why Normalizing Flows Fail to Detect Out-of-Distribution Data. CoRR abs/2006.08545 (2020)
2010 – 2019
- 2019
- [c2]Guandao Yang, Tianyi Zhang, Polina Kirichenko, Junwen Bai, Andrew Gordon Wilson, Christopher De Sa:
SWALP : Stochastic Weight Averaging in Low Precision Training. ICML 2019: 7015-7024 - [c1]Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson:
Subspace Inference for Bayesian Deep Learning. UAI 2019: 1169-1179 - [i3]Guandao Yang, Tianyi Zhang, Polina Kirichenko, Junwen Bai, Andrew Gordon Wilson, Christopher De Sa:
SWALP : Stochastic Weight Averaging in Low-Precision Training. CoRR abs/1904.11943 (2019) - [i2]Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson:
Subspace Inference for Bayesian Deep Learning. CoRR abs/1907.07504 (2019) - [i1]Pavel Izmailov, Polina Kirichenko, Marc Finzi, Andrew Gordon Wilson:
Semi-Supervised Learning with Normalizing Flows. CoRR abs/1912.13025 (2019)
Coauthor Index
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last updated on 2024-10-07 22:12 CEST by the dblp team
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