| Decoupling representation and classifier for long-tailed recognition B Kang, S Xie, M Rohrbach, Z Yan, A Gordo, J Feng, Y Kalantidis arXiv preprint arXiv:1910.09217, 2019 | 775 | 2019 |
| Few-shot object detection via feature reweighting B Kang, Z Liu, X Wang, F Yu, J Feng, T Darrell Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 569 | 2019 |
| Deepvit: Towards deeper vision transformer D Zhou, B Kang, X Jin, L Yang, X Lian, Z Jiang, Q Hou, J Feng arXiv preprint arXiv:2103.11886, 2021 | 311 | 2021 |
| Overcoming classifier imbalance for long-tail object detection with balanced group softmax Y Li, T Wang, B Kang, S Tang, C Wang, J Li, J Feng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 196 | 2020 |
| Deep long-tailed learning: A survey Y Zhang, B Kang, B Hooi, S Yan, J Feng IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 165 | 2023 |
| Policy optimization with demonstrations B Kang, Z Jie, J Feng International conference on machine learning, 2469-2478, 2018 | 124 | 2018 |
| The devil is in classification: A simple framework for long-tail instance segmentation T Wang, Y Li, B Kang, J Li, J Liew, S Tang, S Hoi, J Feng Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 120* | 2020 |
| Exploring balanced feature spaces for representation learning B Kang, Y Li, S Xie, Z Yuan, J Feng International Conference on Learning Representations, 2021 | 105 | 2021 |
| Improving generalization in reinforcement learning with mixture regularization K Wang, B Kang, J Shao, J Feng Advances in Neural Information Processing Systems 33, 7968-7978, 2020 | 63 | 2020 |
| Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks. Y Chen, X Jin, B Kang, J Feng, S Yan IJCAI, 635-641, 2018 | 57* | 2018 |
| Regularization Matters in Policy Optimization--An Empirical Study on Continuous Control Z Liu, X Li, B Kang, T Darrell arXiv preprint arXiv:1910.09191, 2019 | 46 | 2019 |
| Refiner: Refining self-attention for vision transformers D Zhou, Y Shi, B Kang, W Yu, Z Jiang, Y Li, X Jin, Q Hou, J Feng arXiv preprint arXiv:2106.03714, 2021 | 38 | 2021 |
| Online meta adaptation for fast video object segmentation H Xiao, B Kang, Y Liu, M Zhang, J Feng IEEE transactions on pattern analysis and machine intelligence 42 (5), 1205-1217, 2019 | 35 | 2019 |
| Ensemble robustness and generalization of stochastic deep learning algorithms T Zahavy, B Kang, A Sivak, J Feng, H Xu, S Mannor arXiv preprint arXiv:1602.02389, 2016 | 32* | 2016 |
| Transferable Meta Learning Across Domains. B Kang, J Feng UAI, 177-187, 2018 | 29 | 2018 |
| Few-shot classification via adaptive attention Z Jiang, B Kang, K Zhou, J Feng arXiv preprint arXiv:2008.02465, 2020 | 14 | 2020 |
| Similarity r-c3d for few-shot temporal activity detection H Xu, B Kang, X Sun, J Feng, K Saenko, T Darrell arXiv preprint arXiv:1812.10000, 2018 | 12 | 2018 |
| Transferable recognition-aware image processing Z Liu, T Zhou, HJ Wang, Z Shen, B Kang, E Shelhamer, T Darrell arXiv preprint arXiv:1910.09185, 2019 | 11 | 2019 |
| Bag of tricks for training data extraction from language models W Yu, T Pang, Q Liu, C Du, B Kang, Y Huang, M Lin, S Yan arXiv preprint arXiv:2302.04460, 2023 | 2 | 2023 |
| Boosting Offline Reinforcement Learning via Data Rebalancing Y Yue, B Kang, X Ma, Z Xu, G Huang, S Yan arXiv preprint arXiv:2210.09241, 2022 | 2 | 2022 |
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