| Toward verifiable and reproducible human evaluation for text-to-image generation M Otani, R Togashi, Y Sawai, R Ishigami, Y Nakashima, E Rahtu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 79 | 2023 |
| Alleviating cold-start problems in recommendation through pseudo-labelling over knowledge graph R Togashi, M Otani, S Satoh Proceedings of the 14th ACM international conference on web search and data …, 2021 | 48 | 2021 |
| Optimal correction cost for object detection evaluation M Otani, R Togashi, Y Nakashima, E Rahtu, J Heikkilä, S Satoh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 19 | 2022 |
| Enhancing knowledge graph embedding with probabilistic negative sampling V Kanojia, H Maeda, R Togashi, S Fujita Proceedings of the 26th international conference on world wide web companion …, 2017 | 16 | 2017 |
| Learning apparatus, learning method, and non-transitory computer readable storage medium R Togashi US Patent 11,521,110, 2022 | 10 | 2022 |
| Matching theory-based recommender systems in online dating Y Tomita, R Togashi, D Moriwaki Proceedings of the 16th ACM Conference on Recommender Systems, 538-541, 2022 | 8 | 2022 |
| LSTM vs. BM25 for open-domain QA: A hands-on comparison of effectiveness and efficiency S Kato, R Togashi, H Maeda, S Fujita, T Sakai Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 8 | 2017 |
| Curse of "Low" Dimensionality in Recommender Systems N Ohsaka, R Togashi Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 7 | 2023 |
| Density-ratio based personalised ranking from implicit feedback R Togashi, M Kato, M Otani, S Satoh Proceedings of the Web Conference 2021, 3221-3233, 2021 | 7 | 2021 |
| Fast and Examination-agnostic Reciprocal Recommendation in Matching Markets Y Tomita, R Togashi, Y Hashizume, N Ohsaka Proceedings of the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023 | 6 | 2023 |
| Visual intents vs. clicks, likes, and purchases in e-commerce R Togashi, T Sakai Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 3 | 2020 |
| Closing the Gap Between Query and Database through Query Feature Transformation in C2C e-Commerce Visual Search. T Yamaguchi, K Arase, R Togashi, S Ueta eCOM@ SIGIR, 2019 | 3 | 2019 |
| Classifying community qa questions that contain an image K Tamaki, R Togashi, S Kato, S Fujita, H Maeda, T Sakai Proceedings of the 2018 ACM SIGIR International Conference on Theory of …, 2018 | 3 | 2018 |
| LTSim: Layout Transportation-based Similarity Measure for Evaluating Layout Generation M Otani, N Inoue, K Kikuchi, R Togashi arXiv preprint arXiv:2407.12356, 2024 | 2 | 2024 |
| Scalable and Provably Fair Exposure Control for Large-Scale Recommender Systems R Togashi, K Abe, Y Saito Proceedings of the ACM on Web Conference 2024, 3307-3318, 2024 | 2 | 2024 |
| Fair matrix factorisation for large-scale recommender systems R Togashi, K Abe arXiv preprint arXiv:2209.04394, 2022 | 2 | 2022 |
| Safe Collaborative Filtering R Togashi, T Oka, N Ohsaka, T Morimura The Twelfth International Conference on Learning Representations 2024, 2024 | 1 | 2024 |
| AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval R Togashi, M Otani, Y Nakashima, E Rahtu, J Heikkilä, T Sakai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 1 | 2022 |
| Scalable Personalised Item Ranking through Parametric Density Estimation R Togashi, M Kato, M Otani, T Sakai, S Satoh Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 1 | 2021 |
| Generalising Kendall's Tau for noisy and incomplete preference judgements R Togashi, T Sakai Proceedings of the 2019 ACM SIGIR International Conference on Theory of …, 2019 | 1 | 2019 |
Mayu OtaniCyberAgent, Inc.Geverifieerd e-mailadres voor cyberagent.co.jp
