| Long-term recurrent convolutional networks for visual recognition and description J Donahue, LA Hendricks, S Guadarrama, M Rohrbach, S Venugopalan, ... Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 8083 | 2015 |
| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2510 | 2023 |
| Training compute-optimal large language models J Hoffmann, S Borgeaud, A Mensch, E Buchatskaya, T Cai, E Rutherford, ... arXiv preprint arXiv:2203.15556, 2022 | 1837 | 2022 |
| Scaling language models: Methods, analysis & insights from training gopher JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ... arXiv preprint arXiv:2112.11446, 2021 | 1147 | 2021 |
| Localizing moments in video with natural language LA Hendricks, O Wang, E Shechtman, J Sivic, T Darrell, B Russell Proceedings of the IEEE international conference on computer vision, 5803-5812, 2017 | 1082 | 2017 |
| Ethical and social risks of harm from language models L Weidinger, J Mellor, M Rauh, C Griffin, J Uesato, PS Huang, M Cheng, ... arXiv preprint arXiv:2112.04359, 2021 | 1002 | 2021 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 989 | 2024 |
| Generating Visual Explanations LA Hendricks, Z Akata, M Rohrbach, J Donahue, B Schiele, T Darrell The 14th European Conference on Computer Vision (ECCV 2016), 2016 | 784 | 2016 |
| Taxonomy of risks posed by language models L Weidinger, J Uesato, M Rauh, C Griffin, PS Huang, J Mellor, A Glaese, ... Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 617 | 2022 |
| Multimodal explanations: Justifying decisions and pointing to the evidence DH Park, LA Hendricks, Z Akata, A Rohrbach, B Schiele, T Darrell, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 605* | 2018 |
| Object hallucination in image captioning A Rohrbach, LA Hendricks, K Burns, T Darrell, K Saenko arXiv preprint arXiv:1809.02156, 2018 | 536 | 2018 |
| Women also Snowboard: Overcoming Bias in Captioning Models LA Hendricks, K Burns, K Saenko, T Darrell, A Rohrbach Proceedings of the European Conference on Computer Vision (ECCV), 771-787, 2018 | 516 | 2018 |
| Improving alignment of dialogue agents via targeted human judgements A Glaese, N McAleese, M Trębacz, J Aslanides, V Firoiu, T Ewalds, ... arXiv preprint arXiv:2209.14375, 2022 | 470 | 2022 |
| Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data LA Hendricks, S Venugopalan, M Rohrbach, R Mooney, K Saenko, ... Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016 | 347 | 2016 |
| Deep learning for tactile understanding from visual and haptic data Y Gao, LA Hendricks, KJ Kuchenbecker, T Darrell 2016 IEEE international conference on robotics and automation (ICRA), 536-543, 2016 | 322 | 2016 |
| Speaking the same language: Matching machine to human captions by adversarial training R Shetty, M Rohrbach, LA Hendricks, M Fritz, B Schiele Proceedings of the IEEE International Conference on Computer Vision, 4135-4144, 2017 | 303 | 2017 |
| Grounding visual explanations LA Hendricks, R Hu, T Darrell, Z Akata Proceedings of the European conference on computer vision (ECCV), 264-279, 2018 | 251 | 2018 |
| Challenges in detoxifying language models J Welbl, A Glaese, J Uesato, S Dathathri, J Mellor, LA Hendricks, ... arXiv preprint arXiv:2109.07445, 2021 | 239 | 2021 |
| Captioning images with diverse objects S Venugopalan, LA Hendricks, M Rohrbach, R Mooney, T Darrell, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 223 | 2017 |
| Localizing Moments in Video with Temporal Language LA Hendricks, O Wang, E Shechtman, J Sivic, T Darrell, B Russell Empirical Methods on Natural Language Processing (EMNLP), 2018 | 177 | 2018 |
Trevor DarrellProfessor of Computer Science, U.C. Berkeley在 eecs.berkeley.edu 的电子邮件经过验证