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Alexander (Sasha) Vezhnevets
Alexander (Sasha) Vezhnevets
Other namesAlexander Vezhnevets, Sasha Vezhnevets
Staff Research Scientist, DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
Grandmaster level in StarCraft II using multi-agent reinforcement learning
O Vinyals, I Babuschkin, WM Czarnecki, M Mathieu, A Dudzik, J Chung, ...
nature 575 (7782), 350-354, 2019
44152019
FeUdal Networks for Hierarchical Reinforcement Learning
AS Vezhnevets, S Osindero, T Schaul, N Heess, M Jaderberg, D Silver, ...
ICML, 2017
10532017
Starcraft ii: A new challenge for reinforcement learning
O Vinyals, T Ewalds, S Bartunov, P Georgiev, AS Vezhnevets, M Yeo, ...
arXiv preprint arXiv:1708.04782, 2017
10522017
Modest adaboost: teaching AdaBoost to generalize better.
A Vezhnevets, V Vezhnevets
GraphiCon, 2005
3152005
Weakly Supervised Structured Output Learning for Semantic Segmentation
A Vezhnevets, V Ferrari, JM Buhmann
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, 2012
1982012
Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning
A Vezhnevets, JM Buhmann
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on …, 2010
1982010
Weakly Supervised Semantic Segmentation with a Multi-image Model
A Vezhnevets, V Ferrari, J Buhmann
Computer Vision (ICCV), 2011 IEEE International Conference on, 3249-3256, 2011
1932011
Strategic Attentive Writer for Learning Macro-Actions
A Vezhnevets, V Mnih, J Agapiou, S Osindero, A Graves, O Vinyals, ...
arXiv preprint arXiv:1606.04695, 2016
1762016
Active Learning for Semantic Segmentation with Expected Change
A Vezhnevets, JM Buhmann, V Ferrari
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, 2012
1642012
Avoiding boosting overfitting by removing confusing samples
A Vezhnevets, O Barinova
Machine Learning: ECML 2007, 430-441, 2007
1262007
An active search strategy for efficient object class detection
A Gonzalez-Garcia, A Vezhnevets, V Ferrari
Proceedings of the IEEE conference on computer vision and pattern …, 2015
852015
Scalable evaluation of multi-agent reinforcement learning with melting pot
JZ Leibo, EA Dueñez-Guzman, A Vezhnevets, JP Agapiou, P Sunehag, ...
International conference on machine learning, 6187-6199, 2021
812021
GML AdaBoostMatlab Toolbox Manual
A Vezhnevets, V Vezhnevets
Moscow: MSU Graphics & Media Lab, 2010
55*2010
Options as responses: Grounding behavioural hierarchies in multi-agent reinforcement learning
A Vezhnevets, Y Wu, M Eckstein, R Leblond, JZ Leibo
International Conference on Machine Learning, 9733-9742, 2020
522020
Anisotropic ssTEM Image Segmentation Using Dense Correspondence across Sections
D Laptev, A Vezhnevets, S Dwivedi, JM Buhmann
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2012
402012
Weakly Supervised Semantic Segmentation of Crohn's Disease Tissues from Abnominal MRI
D Mahapatra, A Vezhnevets, PJ Schuffler, JAW Tielbeek, FM Vos, ...
International Symposium on Biomedical Imaging, 2013
352013
A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings
E Vinitsky, R Köster, JP Agapiou, EA Duéñez-Guzmán, AS Vezhnevets, ...
Collective Intelligence 2 (2), 26339137231162025, 2023
332023
Associative embeddings for large-scale knowledge transfer with self-assessment
A Vezhnevets, V Ferrari
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, 2014
242014
Melting Pot 2.0
JP Agapiou, AS Vezhnevets, EA Duéñez-Guzmán, J Matyas, Y Mao, ...
arXiv preprint arXiv:2211.13746, 2022
232022
Looking out of the window: object localization by joint analysis of all windows in the image
A Vezhnevets, V Ferrari
CoRR, abs/1501.01181 4, 2015
22*2015
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Articles 1–20