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Ruiyi Zhang
Ruiyi Zhang
Adobe Research
cs.duke.edu의 이메일 확인됨 - 홈페이지
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Adversarial Text Generation via Feature-Mover's Distance
L Chen, S Dai, C Tao, D Shen, Z Gan, H Zhang, Y Zhang, R Zhang, ...
Advances in Neural Information Processing Systems, 4666-4677, 2018
1222018
Topic-Guided Variational Autoencoders for Text Generation
W Wang, Z Gan, H Xu, R Zhang, G Wang, D Shen, L Carin
Annual Conference of the North American Chapter of the Association for …, 2019
932019
GenDICE: Generalized Offline Estimation of Stationary Values
R Zhang, B Dai, L Li, D Schuurmans
International Conference on Learning Representation, 2020
922020
Understanding and Accelerating Particle-Based Variational Inference
C Liu, J Zhuo, P Cheng, R Zhang, J Zhu, L Carin
International Conference on Machine Learning, 4082-4092, 2019
58*2019
Improving Sequence-to-Sequence Learning via Optimal Transport
L Chen, Y Zhang, R Zhang, C Tao, Z Gan, H Zhang, B Li, D Shen, L Carin
International Conference on Learning Representation, 2019
572019
A Unified Particle-optimization Framework for Scalable Bayesian Sampling
C Chen, R Zhang, W Wang, B Li, L Chen, L Carin
Uncertainty in Artificial Intelligence, 2018
572018
Text-based interactive recommendation via constraint-augmented reinforcement learning
R Zhang, T Yu, Y Shen, H Jin, C Chen, L Carin
Advances in Neural Information Processing Systems, 15214-15224, 2019
55*2019
Policy Optimization as Wasserstein Gradient Flows
R Zhang, C Chen, C Li, L Carin
International Conference on Machine Learning, 2018
472018
Stochastic particle-optimization sampling and the non-asymptotic convergence theory
J Zhang, R Zhang, C Chen, L Carin
International Conference on Artificial Intelligence and Statistics, 2020
302020
Figure Captioning with Reasoning and Sequence-Level Training
C Chen, R Zhang, E Koh, S Kim, S Cohen, T Yu, R Rossi, R Bunescu
The IEEE Winter Conference on Applications of Computer Vision, 1537-1545, 2020
29*2020
Variational inference and model selection with generalized evidence bounds
C Tao, L Chen, R Zhang, R Henao, L Carin
International conference on machine learning, 893-902, 2018
292018
Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning
S Yuan, P Cheng, R Zhang, W Hao, Z Gan, L Carin
International Conference on Learning Representation, 2021
262021
Learning Structural Weight Uncertainty for Sequential Decision-Making
R Zhang, C Li, C Chen, L Carin
International Conference on Artificial Intelligence and Statistics, 1137--1146, 2018
262018
Scalable Thompson Sampling via Optimal Transport
R Zhang, Z Wen, C Chen, C Fang, T Yu, L Carin
International Conference on Artificial Intelligence and Statistics, 1137--1146, 2019
23*2019
Improving Adversarial Text Generation by Modeling the Distant Future
R Zhang, C Chen, Z Gan, W Wang, D Shen, G Wang, Z Wen, L Carin
Association for Computational Linguistics, 2020
16*2020
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions
Z Wang, P Yu, Y Zhao, R Zhang, Y Zhou, J Yuan, C Chen
AAAI Conference on Artificial Intelligence, 2020
162020
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, 2019
152019
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference
B An, J Lyu, Z Wang, C Li, C Hu, F Tan, R Zhang, Y Hu, C Chen
Conference on Empirical Methods in Natural Language Processing, 2020
13*2020
Influence diagram bandits: Variational Thompson sampling for structured bandit problems
T Yu, B Kveton, Z Wen, R Zhang, OJ Mengshoel
International Conference on Machine Learning, 10902-10912, 2020
11*2020
Bayesian meta sampling for fast uncertainty adaptation
Z Wang, Y Zhao, P Yu, R Zhang, C Chen
International Conference on Learning Representations, 2019
112019
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