| Dinov2: Learning robust visual features without supervision M Oquab, T Darcet, T Moutakanni, H Vo, M Szafraniec, V Khalidov, ... arXiv preprint arXiv:2304.07193, 2023 | 2359* | 2023 |
| 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 | 1600* | 2024 |
| BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis H Xu, B Liu, L Shu, PS Yu NAACL 2019; arXiv preprint arXiv:1904.02232, 2019 | 896 | 2019 |
| Videoclip: Contrastive pre-training for zero-shot video-text understanding H Xu, G Ghosh, PY Huang, D Okhonko, A Aghajanyan, F Metze, ... arXiv preprint arXiv:2109.14084, 2021 | 535 | 2021 |
| Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction H Xu, B Liu, L Shu, PS Yu ACL 2018, arXiv preprint arXiv:1805.04601, 2018 | 473 | 2018 |
| DOC: Deep Open Classification of Text Documents L Shu, H Xu, B Liu EMNLP 2017, 2017 | 414 | 2017 |
| Masked autoencoders that listen PY Huang, H Xu, J Li, A Baevski, M Auli, W Galuba, F Metze, ... Advances in Neural Information Processing Systems 35, 28708-28720, 2022 | 223 | 2022 |
| Cm3: A causal masked multimodal model of the internet A Aghajanyan, B Huang, C Ross, V Karpukhin, H Xu, N Goyal, D Okhonko, ... arXiv preprint arXiv:2201.07520, 2022 | 154 | 2022 |
| Lifelong Learning CRF for Supervised Aspect Extraction L Shu, H Xu, B Liu ACL 2017, 2017 | 150 | 2017 |
| Vlm: Task-agnostic video-language model pre-training for video understanding H Xu, G Ghosh, PY Huang, P Arora, M Aminzadeh, C Feichtenhofer, ... arXiv preprint arXiv:2105.09996, 2021 | 141 | 2021 |
| Open-world Learning and Application to Product Classification H Xu, B Liu, L Shu, P Yu TheWebConf (WWW) 2019, 2019 | 140 | 2019 |
| Achieving forgetting prevention and knowledge transfer in continual learning Z Ke, B Liu, N Ma, H Xu, L Shu Advances in Neural Information Processing Systems 34, 22443-22456, 2021 | 115 | 2021 |
| Demystifying clip data H Xu, S Xie, XE Tan, PY Huang, R Howes, V Sharma, SW Li, G Ghosh, ... arXiv preprint arXiv:2309.16671, 2023 | 112 | 2023 |
| Unseen class discovery in open-world classification L Shu, H Xu, B Liu arXiv preprint arXiv:1801.05609, 2018 | 110 | 2018 |
| Chameleon: Mixed-modal early-fusion foundation models C Team arXiv preprint arXiv:2405.09818, 2024 | 82 | 2024 |
| Adapting BERT for continual learning of a sequence of aspect sentiment classification tasks Z Ke, H Xu, B Liu arXiv preprint arXiv:2112.03271, 2021 | 79 | 2021 |
| Htlm: Hyper-text pre-training and prompting of language models A Aghajanyan, D Okhonko, M Lewis, M Joshi, H Xu, G Ghosh, ... arXiv preprint arXiv:2107.06955, 2021 | 76 | 2021 |
| CLASSIC: Continual and contrastive learning of aspect sentiment classification tasks Z Ke, B Liu, H Xu, L Shu arXiv preprint arXiv:2112.02714, 2021 | 61 | 2021 |
| Mavil: Masked audio-video learners PY Huang, V Sharma, H Xu, C Ryali, Y Li, SW Li, G Ghosh, J Malik, ... Advances in Neural Information Processing Systems 36, 2024 | 59 | 2024 |
| Dombert: Domain-oriented language model for aspect-based sentiment analysis H Xu, B Liu, L Shu, PS Yu arXiv preprint arXiv:2004.13816, 2020 | 58 | 2020 |
Lei Shu (舒蕾)Google DeepmindDirección de correo verificada de google.com
