Avoiding Boosting Overfitting by Removing Confusing Samples. - Alexander Vezhnevets; Olga Barinova (ECML, 2007)

Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning. - Alexander Vezhnevets; Joachim M. Buhmann (CVPR, 2010)

Agnostic Domain Adaptation. - Alexander Vezhnevets; Joachim M. Buhmann (DAGM-Symposium, 2011)

Weakly supervised semantic segmentation with a multi-image model. - Alexander Vezhnevets; Vittorio Ferrari; Joachim M. Buhmann (ICCV, 2011)

Active learning for semantic segmentation with expected change. - Alexander Vezhnevets; Joachim M. Buhmann; Vittorio Ferrari (CVPR, 2012)

Weakly supervised structured output learning for semantic segmentation. - Alexander Vezhnevets; Vittorio Ferrari; Joachim M. Buhmann (CVPR, 2012)

Anisotropic ssTEM Image Segmentation Using Dense Correspondence across Sections. - Dmitry Laptev; Alexander Vezhnevets; Sarvesh Dwivedi; Joachim M. Buhmann (MICCAI (1), 2012)

Weakly supervised semantic segmentation of natural images. - Alexander Vezhnevets (2012)

Weakly supervised semantic segmentation of Crohn's disease tissues from abdominal MRI. - Dwarikanath Mahapatra; Alexander Vezhnevets; Peter J. Schüffler; Jeroen A. W. Tielbeek; Franciscus M. Vos; Joachim M. Buhmann (ISBI, 2013)

Associative Embeddings for Large-Scale Knowledge Transfer with Self-Assessment. - Alexander Vezhnevets; Vittorio Ferrari (CVPR, 2014)

An active search strategy for efficient object detection. - Abel Gonzalez-Garcia; Alexander Vezhnevets; Vittorio Ferrari (CoRR, 2014)

Context Forest for Object Class Detection. - Davide Modolo; Alexander Vezhnevets; Vittorio Ferrari (BMVC, 2015)

Object localization in ImageNet by looking out of the window. - Alexander Vezhnevets; Vittorio Ferrari (BMVC, 2015)

An active search strategy for efficient object class detection. - Abel Gonzalez-Garcia; Alexander Vezhnevets; Vittorio Ferrari (CVPR, 2015)

Joint calibration of Ensemble of Exemplar SVMs. - Davide Modolo; Alexander Vezhnevets; Olga Russakovsky; Vittorio Ferrari (CVPR, 2015)

Context Forest for efficient object detection with large mixture models. - Davide Modolo; Alexander Vezhnevets; Vittorio Ferrari (CoRR, 2015)

Looking out of the window: object localization by joint analysis of all windows in the image. - Alexander Vezhnevets; Vittorio Ferrari (CoRR, 2015)

Strategic Attentive Writer for Learning Macro-Actions. - Alexander Vezhnevets; Volodymyr Mnih; Simon Osindero; Alex Graves; Oriol Vinyals; John P. Agapiou; Koray Kavukcuoglu (NIPS, 2016)

FeUdal Networks for Hierarchical Reinforcement Learning. - Alexander Sasha Vezhnevets; Simon Osindero; Tom Schaul; Nicolas Heess; Max Jaderberg; David Silver; Koray Kavukcuoglu (ICML, 2017)

StarCraft II: A New Challenge for Reinforcement Learning. - Oriol Vinyals; Timo Ewalds; Sergey Bartunov; Petko Georgiev; Alexander Sasha Vezhnevets; Michelle Yeo; Alireza Makhzani; Heinrich Küttler; John P. Agapiou; Julian Schrittwieser; John Quan; Stephen Gaffney; et al. (CoRR, 2017)

Options as responses: Grounding behavioural hierarchies in multi-agent RL. - Alexander Sasha Vezhnevets; Yuhuai Wu; Rémi Leblond; Joel Z. Leibo (CoRR, 2019)

Grandmaster level in StarCraft II using multi-agent reinforcement learning. - Oriol Vinyals; Igor Babuschkin; Wojciech M. Czarnecki; Michaël Mathieu; Andrew Dudzik; Junyoung Chung; David H. Choi; Richard Powell; Timo Ewalds; Petko Georgiev; Junhyuk Oh; Dan Horgan; et al. (Nat., 2019)

OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning. - Alexander Vezhnevets; Yuhuai Wu; Maria K. Eckstein; Rémi Leblond; Joel Z. Leibo (ICML, 2020)

Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot. - Joel Z. Leibo; Edgar A. Duéñez-Guzmán; Alexander Vezhnevets; John P. Agapiou; Peter Sunehag; Raphael Koster; Jayd Matyas; Charlie Beattie; Igor Mordatch; Thore Graepel (ICML, 2021)

A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings. - Eugene Vinitsky; Raphael Köster; John P. Agapiou; Edgar A. Duéñez-Guzmán; Alexander Sasha Vezhnevets; Joel Z. Leibo (CoRR, 2021)

Statistical discrimination in learning agents. - Edgar A. Duéñez-Guzmán; Kevin R. McKee; Yiran Mao; Ben Coppin; Silvia Chiappa; Alexander Sasha Vezhnevets; Michiel A. Bakker; Yoram Bachrach; Suzanne Sadedin; William Isaac 001; Karl Tuyls; Joel Z. Leibo (CoRR, 2021)

Hidden Agenda: a Social Deduction Game with Diverse Learned Equilibria. - Kavya Kopparapu; Edgar A. Duéñez-Guzmán; Jayd Matyas; Alexander Sasha Vezhnevets; John P. Agapiou; Kevin R. McKee; Richard Everett 001; Janusz Marecki; Joel Z. Leibo; Thore Graepel (CoRR, 2022)

Melting Pot 2.0. - John P. Agapiou; Alexander Sasha Vezhnevets; Edgar A. Duéñez-Guzmán; Jayd Matyas; Yiran Mao; Peter Sunehag; Raphael Köster; Udari Madhushani; Kavya Kopparapu; Ramona Comanescu; DJ Strouse; Michael Bradley Johanson; et al. (CoRR, 2022)

Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition. - Peter Sunehag; Alexander Sasha Vezhnevets; Edgar A. Duéñez-Guzmán; Igor Mordatch; Joel Z. Leibo (AAMAS, 2023)

Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia. - Alexander Sasha Vezhnevets; John P. Agapiou; Avia Aharon; Ron Ziv; Jayd Matyas; Edgar A. Duéñez-Guzmán; William A. Cunningham; Simon Osindero; Danny Karmon; Joel Z. Leibo (CoRR, 2023)

Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence. - Rakshit Trivedi; Akbir Khan; Jesse Clifton; Lewis Hammond; Edgar A. Duéñez-Guzmán; Dipam Chakraborty; John P. Agapiou; Jayd Matyas; Alexander Sasha Vezhnevets; Barna Pásztor; Yunke Ao; Omar G. Younis; et al. (NeurIPS, 2024)

A theory of appropriateness with applications to generative artificial intelligence. - Joel Z. Leibo; Alexander Sasha Vezhnevets; Manfred Diaz; John P. Agapiou; William A. Cunningham; Peter Sunehag; Julia Haas; Raphael Koster; Edgar A. Duéñez-Guzmán; William S. Isaac; Georgios Piliouras; Stanley M. Bileschi; et al. (CoRR, 2024)

Societal and technological progress as sewing an ever-growing, ever-changing, patchy, and polychrome quilt. - Joel Z. Leibo; Alexander Sasha Vezhnevets; William A. Cunningham; Sébastien Krier; Manfred Diaz; Simon Osindero (CoRR, 2025)

Multi-Actor Generative Artificial Intelligence as a Game Engine. - Alexander Sasha Vezhnevets; Jayd Matyas; Logan Cross; Davide Paglieri; Minsuk Chang; William A. Cunningham; Simon Osindero; William S. Isaac; Joel Z. Leibo (CoRR, 2025)