Domain-adversarial training of neural networks Y Ganin, E Ustinova, H Ajakan, P Germain, H Larochelle, F Laviolette, ... Journal of machine learning research 17 (59), 1-35, 2016 | 9471 | 2016 |
Unsupervised domain adaptation by backpropagation Y Ganin, V Lempitsky International conference on machine learning, 1180-1189, 2015 | 6931 | 2015 |
Speeding-up convolutional neural networks using fine-tuned cp-decomposition V Lebedev, Y Ganin, M Rakhuba, I Oseledets, V Lempitsky arXiv preprint arXiv:1412.6553, 2014 | 1053 | 2014 |
-fields: neural network nearest neighbor fields for image transforms Y Ganin, V Lempitsky Computer Vision--ACCV 2014: 12th Asian Conference on Computer Vision …, 2015 | 354 | 2015 |
Synthesizing programs for images using reinforced adversarial learning Y Ganin, T Kulkarni, I Babuschkin, SMA Eslami, O Vinyals International Conference on Machine Learning, 1666-1675, 2018 | 241 | 2018 |
Multi-region bilinear convolutional neural networks for person re-identification E Ustinova, Y Ganin, V Lempitsky 2017 14th IEEE International Conference on Advanced Video and Signal Based …, 2017 | 235 | 2017 |
Polygen: An autoregressive generative model of 3d meshes C Nash, Y Ganin, SMA Eslami, P Battaglia International conference on machine learning, 7220-7229, 2020 | 230 | 2020 |
Deepwarp: Photorealistic image resynthesis for gaze manipulation Y Ganin, D Kononenko, D Sungatullina, V Lempitsky Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 153 | 2016 |
Computer-aided design as language Y Ganin, S Bartunov, Y Li, E Keller, S Saliceti Advances in Neural Information Processing Systems 34, 5885-5897, 2021 | 71 | 2021 |
Continuous diffusion for categorical data S Dieleman, L Sartran, A Roshannai, N Savinov, Y Ganin, PH Richemond, ... arXiv preprint arXiv:2211.15089, 2022 | 70 | 2022 |
International conference on machine learning Y Ganin, V Lempitsky Lille, France, 2015 | 59 | 2015 |
A generalist neural algorithmic learner B Ibarz, V Kurin, G Papamakarios, K Nikiforou, M Bennani, R Csordás, ... Learning on graphs conference, 2: 1-2: 23, 2022 | 55 | 2022 |
Unsupervised doodling and painting with improved spiral JFJ Mellor, E Park, Y Ganin, I Babuschkin, T Kulkarni, D Rosenbaum, ... arXiv preprint arXiv:1910.01007, 2019 | 49 | 2019 |
Self-conditioned embedding diffusion for text generation R Strudel, C Tallec, F Altché, Y Du, Y Ganin, A Mensch, W Grathwohl, ... arXiv preprint arXiv:2211.04236, 2022 | 21 | 2022 |
Photorealistic monocular gaze redirection using machine learning D Kononenko, Y Ganin, D Sungatullina, V Lempitsky IEEE transactions on pattern analysis and machine intelligence 40 (11), 2696 …, 2017 | 21 | 2017 |
GibbsNet: Iterative adversarial inference for deep graphical models AM Lamb, D Hjelm, Y Ganin, JP Cohen, AC Courville, Y Bengio Advances in Neural Information Processing Systems 30, 2017 | 16 | 2017 |
Generative neural network systems for generating instruction sequences to control an agent performing a task I Ganin, TD Kulkarni, O Vinyals, SM Eslami US Patent App. 16/967,597, 2021 | 12 | 2021 |
Natural image processing and synthesis using deep learning I Ganin | 1 | 2020 |
Autoregressive neural networks for the generation of polygonal meshes of 3d objects CTC Nash, I Ganin, SM Eslami, PW Battaglia US Patent App. 17/798,108, 2023 | | 2023 |