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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
24752019
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
7872017
FeUdal Networks for Hierarchical Reinforcement Learning
AS Vezhnevets, S Osindero, T Schaul, N Heess, M Jaderberg, D Silver, ...
ICML, 2017
7662017
Modest adaboost: teaching AdaBoost to generalize better.
A Vezhnevets, V Vezhnevets
GraphiCon, 2005
2852005
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
1922012
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
1872010
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
1842011
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
1572016
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
1442012
Avoiding boosting overfitting by removing confusing samples
A Vezhnevets, O Barinova
Machine Learning: ECML 2007, 430-441, 2007
1082007
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
762015
Gml adaboost matlab toolbox manual
A Vezhnevets, V Vezhnevets
Moscow: MSU Graphics & Media Lab, 2010
52*2010
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
392012
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
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
30*2020
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
Learning class specific edges for vanishing point estimation
O Barinova, A Kuzmishkina, A Vezhnvets, V Vezhnevets
Proc. of Graphicon, 162-165, 2007
222007
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
20*2015
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
192021
Joint calibration of ensemble of exemplar svms
D Modolo, A Vezhnevets, O Russakovsky, V Ferrari
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
152015
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