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Alexander (Sasha) Vezhnevets
Alexander (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
23002019
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
7642017
FeUdal Networks for Hierarchical Reinforcement Learning
AS Vezhnevets, S Osindero, T Schaul, N Heess, M Jaderberg, D Silver, ...
ICML, 2017
7312017
Modest adaboost: teaching AdaBoost to generalize better.
A Vezhnevets, V Vezhnevets
GraphiCon, 2005
2842005
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
1842010
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
1822011
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
1532016
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
1392012
Avoiding boosting overfitting by removing confusing samples
A Vezhnevets, O Barinova
Machine Learning: ECML 2007, 430-441, 2007
1072007
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
342013
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
27*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
232014
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
162021
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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Articles 1–20