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Izmailov, Pavel
38
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Online (38)
Mediatypes
Articles (Online) (10)
Bookchapter (Online) (1)
OpenAccess-fulltext (27)
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?
1
FlexiViT: One Model for All Patch Sizes:
, In:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Beyer, Lucas
;
Izmailov, Pavel
;
Kolesnikov, Alexander
... - p. 14496-14506 , 2023
Link:
https://doi.org/10.1109/..
?
2
Simple and Fast Group Robustness by Automatic Feature Rewei..:
Qiu, Shikai
;
Potapczynski, Andres
;
Izmailov, Pavel
.
http://arxiv.org/abs/2306.11074. , 2023
Link:
http://arxiv.org/abs/230..
?
3
Weak-to-Strong Generalization: Eliciting Strong Capabilitie..:
Burns, Collin
;
Izmailov, Pavel
;
Kirchner, Jan Hendrik
...
http://arxiv.org/abs/2312.09390. , 2023
Link:
http://arxiv.org/abs/231..
?
4
Bayesian Model Selection, the Marginal Likelihood, and Gene..:
Lotfi, Sanae
;
Izmailov, Pavel
;
Benton, Gregory
..
http://arxiv.org/abs/2202.11678. , 2022
Link:
http://arxiv.org/abs/220..
?
5
Last Layer Re-Training is Sufficient for Robustness to Spur..:
Kirichenko, Polina
;
Izmailov, Pavel
;
Wilson, Andrew Gordon
http://arxiv.org/abs/2204.02937. , 2022
Link:
http://arxiv.org/abs/220..
?
6
Unsupervised learning of two-component nematicity from STM ..:
Taranto, William
;
Lederer, Samuel
;
Choi, Youngjoon
...
http://arxiv.org/abs/2203.04449. , 2022
Link:
http://arxiv.org/abs/220..
?
7
FlexiViT: One Model for All Patch Sizes:
Beyer, Lucas
;
Izmailov, Pavel
;
Kolesnikov, Alexander
...
http://arxiv.org/abs/2212.08013. , 2022
Link:
http://arxiv.org/abs/221..
?
8
On Uncertainty, Tempering, and Data Augmentation in Bayesia..:
Kapoor, Sanyam
;
Maddox, Wesley J
;
Izmailov, Pavel
.
http://arxiv.org/abs/2203.16481. , 2022
Link:
http://arxiv.org/abs/220..
?
9
On Feature Learning in the Presence of Spurious Correlation:
Izmailov, Pavel
;
Kirichenko, Polina
;
Gruver, Nate
.
http://arxiv.org/abs/2210.11369. , 2022
Link:
http://arxiv.org/abs/221..
?
10
Unsupervised learning of two-component nematicity from STM ..:
Taranto, William
;
Lederer, Samuel
;
Choi, Youngjoon
...
https://arxiv.org/abs/2203.04449. , 2022
Link:
https://doi.org/10.48550..
?
11
What Are Bayesian Neural Network Posteriors Really Like?:
Izmailov, Pavel
;
Vikram, Sharad
;
Hoffman, Matthew D
.
http://arxiv.org/abs/2104.14421. , 2021
Link:
http://arxiv.org/abs/210..
?
12
Dangers of Bayesian Model Averaging under Covariate Shift:
Izmailov, Pavel
;
Nicholson, Patrick
;
Lotfi, Sanae
.
http://arxiv.org/abs/2106.11905. , 2021
Link:
http://arxiv.org/abs/210..
?
13
Does Knowledge Distillation Really Work?:
Stanton, Samuel
;
Izmailov, Pavel
;
Kirichenko, Polina
..
http://arxiv.org/abs/2106.05945. , 2021
Link:
http://arxiv.org/abs/210..
?
14
Why Normalizing Flows Fail to Detect Out-of-Distribution Da..:
Kirichenko, Polina
;
Izmailov, Pavel
;
Wilson, Andrew Gordon
http://arxiv.org/abs/2006.08545. , 2020
Link:
http://arxiv.org/abs/200..
?
15
Bayesian Deep Learning and a Probabilistic Perspective of G..:
Wilson, Andrew Gordon
;
Izmailov, Pavel
http://arxiv.org/abs/2002.08791. , 2020
Link:
http://arxiv.org/abs/200..
1-15