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Bingyi Kang
Bingyi Kang
Sea AI Lab
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Title
Cited by
Cited by
Year
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
11232019
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
7462019
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
4792021
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
3762023
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
2612020
Exploring balanced feature spaces for representation learning
B Kang, Y Li, S Xie, Z Yuan, J Feng
International Conference on Learning Representations, 2020
2012020
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
1732020
Policy optimization with demonstrations
B Kang, Z Jie, J Feng
International conference on machine learning, 2469-2478, 2018
1562018
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
1042020
Regularization matters in policy optimization
Z Liu, X Li, B Kang, T Darrell
arXiv preprint arXiv:1910.09191, 2019
692019
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
65*2018
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
582021
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
432019
Bubogpt: Enabling visual grounding in multi-modal llms
Y Zhao, Z Lin, D Zhou, Z Huang, J Feng, B Kang
arXiv preprint arXiv:2307.08581, 2023
372023
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
34*2016
Transferable Meta Learning Across Domains.
B Kang, J Feng
UAI, 177-187, 2018
322018
Few-shot classification via adaptive attention
Z Jiang, B Kang, K Zhou, J Feng
arXiv preprint arXiv:2008.02465, 2020
212020
Exploring Simple and Transferable Recognition-Aware Image Processing
Z Liu, HJ Wang, T Zhou, Z Shen, B Kang, E Shelhamer, T Darrell
arXiv preprint arXiv:1910.09185, 2019
182019
Depth anything: Unleashing the power of large-scale unlabeled data
L Yang, B Kang, Z Huang, X Xu, J Feng, H Zhao
arXiv preprint arXiv:2401.10891, 2024
162024
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
International Conference on Machine Learning, 40306-40320, 2023
152023
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