Подписаться
Jingling Li
Jingling Li
Подтвержден адрес электронной почты в домене umd.edu - Главная страница
Название
Процитировано
Процитировано
Год
What Can Neural Networks Reason About?
K Xu, J Li, M Zhang, SS Du, K Kawarabayashi, S Jegelka
https://arxiv.org/pdf/1905.13211.pdf, 2019
1612019
How neural networks extrapolate: From feedforward to graph neural networks
K Xu, M Zhang, J Li, SS Du, K Kawarabayashi, S Jegelka
arXiv preprint arXiv:2009.11848, 2020
1572020
Understanding generalization in deep learning via tensor methods
J Li, Y Sun, J Su, T Suzuki, F Huang
International Conference on Artificial Intelligence and Statistics, 504-515, 2020
192020
Select and permute: An improved online framework for scheduling to minimize weighted completion time
S Khuller, J Li, P Sturmfels, K Sun, P Venkat
Theoretical Computer Science 795, 420-431, 2019
182019
How Does a Neural Network’s Architecture Impact Its Robustness to Noisy Labels?
J Li, M Zhang, K Xu, JP Dickerson, J Ba
Advances in Neural Information Processing Systems (2021) 34, 9788-9803, 2020
13*2020
Tensorized spectrum preserving compression for neural networks
J Su, J Li, B Bhattacharjee, F Huang
arXiv preprint arXiv:1805.10352, 2018
132018
Tensorial neural networks: Generalization of neural networks and application to model compression
J Su, J Li, B Bhattacharjee, F Huang
arXiv preprint arXiv:1805.10352, 2018
112018
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization
M Ding, K Kong, J Li, C Zhu, J Dickerson, F Huang, T Goldstein
Advances in Neural Information Processing Systems 34, 6733-6746, 2021
82021
В данный момент система не может выполнить эту операцию. Повторите попытку позднее.
Статьи 1–8