| Dropoutnet: Addressing cold start in recommender systems M Volkovs, G Yu, T Poutanen Advances in neural information processing systems 30, 2017 | 353 | 2017 |
| X-pool: Cross-modal language-video attention for text-video retrieval SK Gorti, N Vouitsis, J Ma, K Golestan, M Volkovs, A Garg, G Yu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 173 | 2022 |
| Content-based neighbor models for cold start in recommender systems M Volkovs, GW Yu, T Poutanen Proceedings of the Recommender Systems Challenge 2017, 1-6, 2017 | 114 | 2017 |
| Context-aware scene graph generation with seq2seq transformers Y Lu, H Rai, J Chang, B Knyazev, G Yu, S Shekhar, GW Taylor, M Volkovs Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 90 | 2021 |
| Effective latent models for binary feedback in recommender systems M Volkovs, GW Yu Proceedings of the 38th international ACM SIGIR conference on research and …, 2015 | 81 | 2015 |
| Weakly supervised action selection learning in video J Ma, SK Gorti, M Volkovs, G Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 63 | 2021 |
| Guided similarity separation for image retrieval C Liu, G Yu, M Volkovs, C Chang, H Rai, J Ma, SK Gorti Advances in Neural Information Processing Systems 32, 2019 | 54 | 2019 |
| Explore-exploit graph traversal for image retrieval C Chang, G Yu, C Liu, M Volkovs Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 38 | 2019 |
| Multi-view scene graph generation in videos Y Lu, C Chang, H Rai, G Yu, M Volkovs International Challenge on Activity Recognition (ActivityNet) CVPR 2021 …, 2021 | 16 | 2021 |
| Session-based recommendation with transformers Y Lu, Z Gao, Z Cheng, J Sun, B Brown, G Yu, A Wong, F Pérez, M Volkovs Proceedings of the Recommender Systems Challenge 2022, 29-33, 2022 | 14 | 2022 |
| Learning effective visual relationship detector on 1 gpu Y Lu, C Chang, H Rai, G Yu, M Volkovs arXiv preprint arXiv:1912.06185, 2019 | 9 | 2019 |
| TabPFGen--Tabular Data Generation with TabPFN J Ma, A Dankar, G Stein, G Yu, A Caterini arXiv preprint arXiv:2406.05216, 2024 | 8 | 2024 |
| In-Context Data Distillation with TabPFN J Ma, V Thomas, G Yu, A Caterini arXiv preprint arXiv:2402.06971, 2024 | 5 | 2024 |
| Cross-Class Relevance Learning for Temporal Concept Localization J Ma, SK Gorti, M Volkovs, I Stanevich, G Yu arXiv preprint arXiv:1911.08548, 2019 | 4 | 2019 |
| Retrieval & Fine-Tuning for In-Context Tabular Models V Thomas, J Ma, R Hosseinzadeh, K Golestan, G Yu, M Volkovs, ... arXiv preprint arXiv:2406.05207, 2024 | 2 | 2024 |
| Semi-Supervised Exploration in Image Retrieval C Chang, H Rai, SK Gorti, J Ma, C Liu, G Yu, M Volkovs arXiv preprint arXiv:1906.04944, 2019 | 2 | 2019 |
| Data-Efficient Multimodal Fusion on a Single GPU N Vouitsis, Z Liu, SK Gorti, V Villecroze, JC Cresswell, G Yu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| CONFIGURABLE PIPELINES FOR TRAINING AND DEPLOYING MACHINE LEARNING PROCESSES IN DISTRIBUTED COMPUTING ENVIRONMENTS G YU, M Volkovs, SK Gorti, BH Devani US Patent App. 18/373,918, 2024 | | 2024 |
| PROGRAMMATIC ANALYSIS AND MONITORING OF PIPELINED MACHINE LEARNING PROCESSES IN DISTRIBUTED COMPUTING ENVIRONMENTS G YU, M Volkovs, SK Gorti, BH Devani US Patent App. 18/665,288, 2024 | | 2024 |
| MODULAR FRAMEWORK FOR TRAINING FORWARD-IN-TIME MACHINE LEARNING PROCESSES IN DISTRIBUTED COMPUTING ENVIRONMENTS G YU, M Volkovs, SK Gorti, BH Devani US Patent App. 18/665,211, 2024 | | 2024 |
