Seguir
Liqun Chen
Liqun Chen
Cubist Systematic Strategies
Dirección de correo verificada de cubistsystematic.com - Página principal
Título
Citado por
Citado por
Año
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
2772017
Vision-Language Pre-Training with Triple Contrastive Learning
J Yang, J Duan, S Tran, Y Xu, S Chanda, L Chen, B Zeng, T Chilimbi, ...
CVPR 2022, 2022
2262022
Contextualized perturbation for textual adversarial attack
D Li, Y Zhang, H Peng, L Chen, C Brockett, MT Sun, B Dolan
NAACL 2021, 2021
2162021
Graph Optimal Transport for Cross-Domain Alignment
L Chen, Z Gan, Y Cheng, L Li, L Carin, J Liu
ICML 2020, 2020
1642020
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
1632018
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
1552017
Wasserstein Contrastive Representation Distillation
L Chen, Z Gan, D Wang, J Liu, R Henao, L Carin
CVPR 2021, 2021
992021
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
952019
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
942017
Symmetric variational autoencoder and connections to adversarial learning
L Chen, S Dai, Y Pu, C Li, Q Su, L Carin
AISTATS 2018, 2017
782017
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
772018
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
642019
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
582018
Multi-modal Alignment using Representation Codebook
J Duan, L Chen, S Tran, J Yang, Y Xu, B Zeng, C Tao, T Chilimbi
CVPR 2022, 2022
522022
Chi-square generative adversarial network
C Tao, L Chen, R Henao, J Feng, L Carin
International Conference on Machine Learning, 4894-4903, 2018
432018
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
322018
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
292019
Simpler, faster, stronger: Breaking the log-k curse on contrastive learners with flatnce
J Chen, Z Gan, X Li, Q Guo, L Chen, S Gao, T Chung, Y Xu, B Zeng, W Lu, ...
arXiv preprint arXiv:2107.01152, 2021
262021
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
222019
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
222019
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20