| Moment Matching for Multi-Source Domain Adaptation X Peng, Q Bai, X Xia, Z Huang, K Saenko, B Wang ICCV 2019 (Oral), 2019 | 1947 | 2019 |
| The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 401 | 2024 |
| W-Net: A Deep Model for Fully Unsupervised Image Segmentation X Xia, X Peng, B Kulis arXiv preprint arXiv:1711.08506, 2017 | 329 | 2017 |
| Deep Metric Learning to Rank F Cakir, K He, X Xia, B Kulis, S Sclaroff CVPR 2019, 2019 | 328 | 2019 |
| Introducing meta llama 3: The most capable openly available llm to date AI Meta Meta AI, 2024 | 142 | 2024 |
| Introducing LLaMA: A foundational, 65-billion-parameter large language model AI Meta Meta AI, 2023 | 79 | 2023 |
| Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer X Xia, M Zhang, T Xue, Z Sun, H Fang, B Kulis, J Chen ECCV 2020, 2020 | 60 | 2020 |
| Real-time Localized Photorealistic Video Style Transfer X Xia, T Xue, W Lai, Z Sun, A Chang, B Kulis, J Chen WACV 2021, 2021 | 31 | 2021 |
| Learning to Approximate a Bregman Divergence A Siahkamari, X Xia, V Saligrama, D Castanon, B Kulis NeurIPS 2020, 2020 | 26 | 2020 |
| Evaluating text-to-visual generation with image-to-text generation Z Lin, D Pathak, B Li, J Li, X Xia, G Neubig, P Zhang, D Ramanan arXiv preprint arXiv:2404.01291, 2024 | 22 | 2024 |
| W-net: A deep model for fully unsupervised image segmentation. arXiv 2017 X Xia, B Kulis arXiv preprint arXiv:1711.08506, 2017 | 21 | 2017 |
| Introducing meta llama 3: The most capable openly available llm to date, 2024 AI Meta URL https://ai. meta. com/blog/meta-llama-3/. Accessed on April 26, 2024 | 17 | 2024 |
| DIME-FM: DIstilling Multimodal and Efficient Foundation Models X Sun, P Zhang, P Zhang, H Shah, K Saenko, X Xia ICCV 2023, 2023 | 15 | 2023 |
| 3: The most capable openly available LLM to date IM Llama Meta AI, 2024 | 10 | 2024 |
| Llama 3 AI Meta URL: https://llama. meta. com/llama3/, accessed on 12 (05), 2024, 2024 | 10 | 2024 |
| W-net: A deep model for fully unsupervised image segmentation. arXiv X Xia, B Kulis arXiv preprint arXiv:1711.08506, 2017 | 10 | 2017 |
| Cost-Sensitive Batch Mode Active Learning: Designing Astronomical Observation by Optimizing Telescope Time and Telescope Choice X Xia, P Protopapas, F Doshi-Velez SDM 2016, 2016 | 10 | 2016 |
| An affinity-structure database of helix-turn-helix: DNA complexes with a universal coordinate system M AlQuraishi, S Tang, X Xia BMC bioinformatics 16, 1-19, 2015 | 9 | 2015 |
| The llama 3 herd of models AI Meta, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783 2, 2024 | 8 | 2024 |
| W-Net: a deep model for fully unsupervised image segmentation. 2017 X Xia, B Kulis arXiv preprint arXiv:1711.08506, 0 | 7 | |
Brian KulisAssociate Professor at Boston University & Amazon Scholar在 bu.edu 的電子郵件地址已通過驗證
