Stebėti
Liwei Wang
Liwei Wang
Patvirtintas el. paštas cis.pku.edu.cn - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Gradient descent finds global minima of deep neural networks
S Du, J Lee, H Li, L Wang, X Zhai
International conference on machine learning, 1675-1685, 2019
14472019
The expressive power of neural networks: A view from the width
Z Lu, H Pu, F Wang, Z Hu, L Wang
Advances in neural information processing systems 30, 2017
13092017
Reppoints: Point set representation for object detection
Z Yang, S Liu, H Hu, L Wang, S Lin
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
12202019
On layer normalization in the transformer architecture
R Xiong, Y Yang, D He, K Zheng, S Zheng, C Xing, H Zhang, Y Lan, ...
International conference on machine learning, 10524-10533, 2020
11532020
Dual learning for machine translation
D He, Y Xia, T Qin, L Wang, N Yu, TY Liu, WY Ma
Advances in neural information processing systems 29, 2016
10852016
On the Euclidean distance of images
L Wang, Y Zhang, J Feng
IEEE transactions on pattern analysis and machine intelligence 27 (8), 1334-1339, 2005
8822005
A theoretical analysis of NDCG type ranking measures
Y Wang, L Wang, Y Li, D He, TY Liu
Conference on learning theory, 25-54, 2013
7772013
Nesterov accelerated gradient and scale invariance for adversarial attacks
J Lin, C Song, K He, L Wang, JE Hopcroft
arXiv preprint arXiv:1908.06281, 2019
6732019
Learning to navigate for fine-grained classification
Z Yang, T Luo, D Wang, Z Hu, J Gao, L Wang
Proceedings of the European conference on computer vision (ECCV), 420-435, 2018
6672018
Accurate pulmonary nodule detection in computed tomography images using deep convolutional neural networks
J Ding, A Li, Z Hu, L Wang
International conference on medical image computing and computer-assisted …, 2017
4592017
Memory enhanced global-local aggregation for video object detection
Y Chen, Y Cao, H Hu, L Wang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
3652020
Representation degeneration problem in training natural language generation models
J Gao, D He, X Tan, T Qin, L Wang, TY Liu
arXiv preprint arXiv:1907.12009, 2019
2942019
Boosting few-shot learning with adaptive margin loss
A Li, W Huang, X Lan, J Feng, Z Li, L Wang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
2362020
Dense relation distillation with context-aware aggregation for few-shot object detection
H Hu, S Bai, A Li, J Cui, L Wang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
2232021
Learning relationships for multi-view 3D object recognition
Z Yang, L Wang
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
2202019
Understanding and improving transformer from a multi-particle dynamic system point of view
Y Lu, Z Li, D He, Z Sun, B Dong, T Qin, L Wang, TY Liu
arXiv preprint arXiv:1906.02762, 2019
2152019
Towards revealing the mystery behind chain of thought: a theoretical perspective
G Feng, B Zhang, Y Gu, H Ye, D He, L Wang
Advances in Neural Information Processing Systems 36, 70757-70798, 2023
2112023
Graphnorm: A principled approach to accelerating graph neural network training
T Cai, S Luo, K Xu, D He, T Liu, L Wang
International Conference on Machine Learning, 1204-1215, 2021
2112021
On the depth of deep neural networks: A theoretical view
S Sun, W Chen, L Wang, X Liu, TY Liu
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
2082016
Macer: Attack-free and scalable robust training via maximizing certified radius
R Zhai, C Dan, D He, H Zhang, B Gong, P Ravikumar, CJ Hsieh, L Wang
arXiv preprint arXiv:2001.02378, 2020
1982020
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