팔로우
Liqun Chen
Liqun Chen
amazon.com의 이메일 확인됨 - 홈페이지
제목
인용
인용
연도
Alice: Towards understanding adversarial learning for joint distribution matching
C Li, H Liu, C Chen, Y Pu, L Chen, R Henao, L Carin
Advances in neural information processing systems 30, 2017
2332017
Triangle generative adversarial networks
Z Gan, L Chen, W Wang, Y Pu, Y Zhang, H Liu, C Li, L Carin
Advances in Neural Information Processing Systems, 5253-5262, 2017
1272017
Adversarial text generation via feature-mover's distance
L Chen, S Dai, C Tao, D Shen, Z Gan, H Zhang, Y Zhang, L Carin
Advances in Neural Information Processing Systems 2018, 2018
1222018
Adversarial symmetric variational autoencoder
Y Pu, W Wang, R Henao, L Chen, Z Gan, C Li, L Carin
Advances in neural information processing systems 30, 2017
712017
Symmetric variational autoencoder and connections to adversarial learning
L Chen, S Dai, Y Pu, C Li, Q Su, L Carin
AISTATS 2018, 2017
672017
Graph Optimal Transport for Cross-Domain Alignment
L Chen, Z Gan, Y Cheng, L Li, L Carin, J Liu
ICML 2020, 2020
652020
A unified particle-optimization framework for scalable Bayesian sampling
C Chen, R Zhang, W Wang, B Li, L Chen
arXiv preprint arXiv:1805.11659, 2018
572018
Improving Sequence-to-Sequence Learning via Optimal Transport
L Chen, Y Zhang, R Zhang, C Tao, Z Gan, H Zhang, B Li, D Shen, C Chen, ...
International Conference on Learning Representations, 2019
562019
Contextualized perturbation for textual adversarial attack
D Li, Y Zhang, H Peng, L Chen, C Brockett, MT Sun, B Dolan
NAACL 2021, 2021
542021
Towards generating long and coherent text with multi-level latent variable models
D Shen, A Celikyilmaz, Y Zhang, L Chen, X Wang, J Gao, L Carin
ACL 2019, 2019
462019
Continuous-time flows for efficient inference and density estimation
C Chen, C Li, L Chen, W Wang, Y Pu, LC Duke
International Conference on Machine Learning, 824-833, 2018
392018
Chi-square generative adversarial network
C Tao, L Chen, R Henao, J Feng, L Carin
International Conference on Machine Learning, 4894-4903, 2018
312018
Variational inference and model selection with generalized evidence bounds
L Chen, C Tao, R Zhang, R Henao, L Carin
International Conference on Machine Learning, 892-901, 2018
292018
Wasserstein Contrastive Representation Distillation
L Chen, Z Gan, D Wang, J Liu, R Henao, L Carin
CVPR 2021, 2021
222021
On Fenchel Mini-Max Learning
C Tao, L Chen, S Dai, J Chen, K Bai, D Wang, J Feng, W Lu, G Bobashev, ...
International Conference on Machine Learning, 2019
172019
Improving Textual Network Embedding with Global Attention via Optimal Transport
L Chen, G Wang, C Tao, D Shen, P Cheng, X Zhang, W Wang, Y Zhang, ...
ACL 2019, 2019
162019
Graph-driven generative models for heterogeneous multi-task learning
W Wang, H Xu, Z Gan, B Li, G Wang, L Chen, Q Yang, W Wang, L Carin
Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 979-988, 2020
152020
Variational annealing of GANs: A Langevin perspective
C Tao, S Dai, L Chen, K Bai, J Chen, C Liu, R Zhang, G Bobashev, ...
International conference on machine learning, 6176-6185, 2019
152019
Continuous-time flows for deep generative models
C Chen, C Li, L Chen, W Wang, Y Pu, L Carin
International Conference on Machine Learning, 2017
132017
Dynamic embedding on textual networks via a gaussian process
P Cheng, Y Li, X Zhang, L Chen, D Carlson, L Carin
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7562-7569, 2020
112020
현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요.
학술자료 1–20