| Learning active learning from data K Konyushkova, R Sznitman, P Fua Advances in neural information processing systems 30, 2017 | 350 | 2017 |
| Scaling data-driven robotics with reward sketching and batch reinforcement learning S Cabi, SG Colmenarejo, A Novikov, K Konyushkova, S Reed, R Jeong, ... arXiv preprint arXiv:1909.12200, 2019 | 164* | 2019 |
| Reinforced Self-Training (ReST) for Language Modeling C Gulcehre, TL Paine, S Srinivasan, K Konyushkova, L Weerts, A Sharma, ... arXiv preprint arXiv:2308.08998, 2023 | 114 | 2023 |
| Directing exploratory search with interactive intent modeling T Ruotsalo, J Peltonen, M Eugster, D Głowacka, K Konyushkova, ... Proceedings of the 22nd ACM international conference on Information …, 2013 | 93 | 2013 |
| Introducing Geometry in Active Learning for Image Segmentation K Konyushkova, R Sznitman, P Fua Proceedings of the IEEE International Conference on Computer Vision, 2974-2982, 2015 | 80 | 2015 |
| Offline Learning from Demonstrations and Unlabeled Experience K Zolna, A Novikov, K Konyushkova, C Gulcehre, Z Wang, Y Aytar, ... arXiv preprint arXiv:2011.13885, 2020 | 69 | 2020 |
| Learning intelligent dialogs for bounding box annotation K Konyushkova, J Uijlings, CH Lampert, V Ferrari Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 52 | 2018 |
| Supporting exploratory search tasks with interactive user modeling T Ruotsalo, K Athukorala, D Głowacka, K Konyushkova, A Oulasvirta, ... Proceedings of the 76th ASIS&T Annual Meeting: Beyond the Cloud: Rethinking …, 2013 | 48 | 2013 |
| Retrieval-Augmented Reinforcement Learning A Goyal, AL Friesen, T Weber, A Banino, NR Ke, AP Badia, ... | 42 | 2021 |
| Vision-language models as success detectors Y Du, K Konyushkova, M Denil, A Raju, J Landon, F Hill, N de Freitas, ... arXiv preprint arXiv:2303.07280, 2023 | 40 | 2023 |
| Semi-supervised reward learning for offline reinforcement learning K Konyushkova, K Zolna, Y Aytar, A Novikov, S Reed, S Cabi, ... arXiv preprint arXiv:2012.06899, 2020 | 35 | 2020 |
| Discovering General-Purpose Active Learning Strategies K Konyushkova, R Sznitman, P Fua arXiv preprint arXiv:1810.04114, 2018 | 34 | 2018 |
| Geometry in active learning for binary and multi-class image segmentation K Konyushkova, R Sznitman, P Fua Computer Vision and Image Understanding, 2019 | 28 | 2019 |
| Active offline policy selection K Konyushova, Y Chen, T Paine, C Gulcehre, C Paduraru, DJ Mankowitz, ... Advances in Neural Information Processing Systems 34, 2021 | 24 | 2021 |
| Content-based image retrieval with hierarchical Gaussian Process bandits with self-organizing maps K Konyushkova, D Glowacka 21st European Symposium on Artificial Neural Networks, ESANN 2013, Bruges …, 2013 | 14 | 2013 |
| God (s) Know (s): Developmental and Cross-Cultural Patterns in Children Drawings K Konyushkova, N Arvanitopoulos, ZD Robert, PY Brandt, S Süsstrunk arXiv preprint arXiv:1511.03466, 2015 | 12 | 2015 |
| Scinet: A system for browsing scientific literature through keyword manipulation D Głowacka, T Ruotsalo, K Konyushkova, K Athukorala, S Kaski, ... Proceedings of the companion publication of the 2013 international …, 2013 | 5 | 2013 |
| Interactive visualization of search intent for exploratory information retrieval A Kangasrääsiö, D Głowacka, T Ruotsalo, J Peltonen, MJA Eugster, ... ICML 2014 workshop “Crowdsourcing and Human Computing, 2014 | 3 | 2014 |
| Data-driven robot control S Cabi, Z Wang, A Novikov, K Konyushkova, SG Colmenarejo, SE Reed, ... US Patent App. 17/020,294, 2021 | 1 | 2021 |
| Imse: Instant interactive image retrieval system with exploration/exploitation trade-off K Konyushkova Helsingfors universitet, 2013 | 1 | 2013 |
