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Kolesnikov, Alexander A.
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1

Sigmoid Loss for Language Image Pre-Training:

, In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV),
Zhai, Xiaohua ; Mustafa, Basil ; Kolesnikov, Alexander. - p. 11941-11952 , 2023
Link: https://doi.org/10.1109/..
 
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2

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/..
 
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3

Investigation of the Operation of Foundations in the Form o..:

, In: XV International Scientific Conference "INTERAGROMASH 2022"; Lecture Notes in Networks and Systems,
Kolesnikov, Alexander ; Stupishin, Leonid - p. 2291-2300 , 2023
Link: https://doi.org/10.1007/..
 
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4

Scaling Vision Transformers:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Zhai, Xiaohua ; Kolesnikov, Alexander ; Houlsby, Neil. - p. 1204-1213 , 2022
Link: https://doi.org/10.1109/..
 
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5

LiT: Zero-Shot Transfer with Locked-image text Tuning:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Zhai, Xiaohua ; Wang, Xiao ; Mustafa, Basil... - p. 18102-18112 , 2022
Link: https://doi.org/10.1109/..
 
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6

Knowledge distillation: A good teacher is patient and consi..:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Beyer, Lucas ; Zhai, Xiaohua ; Royer, Amelie... - p. 10915-10924 , 2022
Link: https://doi.org/10.1109/..
 
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7

Features of Digital Modeling of the Northern Sea Route Flow:

, In: XIV International Scientific Conference "INTERAGROMASH 2021"; Lecture Notes in Networks and Systems,
Holodkova, Victoria ; Titov, Alexander ; Kolesnikov, Alexander. - p. 511-519 , 2021
Link: https://doi.org/10.1007/..
 
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8

Big Transfer (BiT): General Visual Representation Learning:

, In: Computer Vision – ECCV 2020; Lecture Notes in Computer Science,
Kolesnikov, Alexander ; Beyer, Lucas ; Zhai, Xiaohua... - p. 491-507 , 2020
Link: https://doi.org/10.1007/..
 
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9

Revisiting Self-Supervised Visual Representation Learning:

, In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Kolesnikov, Alexander ; Zhai, Xiaohua ; Beyer, Lucas - p. 1920-1929 , 2019
Link: https://doi.org/10.1109/..
 
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10

S4L: Self-Supervised Semi-Supervised Learning:

, In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV),
Beyer, Lucas ; Zhai, Xiaohua ; Oliver, Avital. - p. 1476-1485 , 2019
Link: https://doi.org/10.1109/..
 
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11

Detecting Visual Relationships Using Box Attention:

, In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW),
Kolesnikov, Alexander ; Kuznetsova, Alina ; Lampert, Christoph. - p. 1749-1753 , 2019
Link: https://doi.org/10.1109/..
 
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12

Predicting CTR of new ads via click prediction:

, In: Proceedings of the 21st ACM international conference on Information and knowledge management,
Kolesnikov, Alexander ; Logachev, Yury ; Topinskiy, Valeriy - p. 2547-2550 , 2012
Link: https://dl.acm.org/doi/1..
 
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13

Distortion-constrained compression of vector maps:

, In: Proceedings of the 2007 ACM symposium on Applied computing,
Kolesnikov, Alexander ; Akimov, Alexander - p. 8-12 , 2007
Link: https://dl.acm.org/doi/1..
 
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14

Methodology for Prognostic Effectiveness Evaluating of Digi..:

, In: Digital Transformation on Manufacturing, Infrastructure & Service; Lecture Notes in Networks and Systems,
Timofeev, Andrey V. ; Titov, Aleksander B. ; Kolesnikov, Alexander M.. - p. 772-789 , 2023
Link: https://doi.org/10.1007/..
 
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15

Sharp Poincaré-Type Inequality for the Gaussian Measure on ..:

, In: Lecture Notes in Mathematics; Geometric Aspects of Functional Analysis,
Kolesnikov, Alexander V. ; Milman, Emanuel - p. 221-234 , 2017
Link: https://doi.org/10.1007/..
 
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