受强制性开放获取政策约束的文章 - Ruiyi Zhang了解详情
可在其他位置公开访问的文章：18 篇
Lafite: Towards Language-Free Training for Text-to-Image Generation
Y Zhou, R Zhang, C Chen, C Li, C Tensmeyer, T Yu, J Gu, J Xu, T Sun
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
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
强制性开放获取政策： 国家自然科学基金委员会
Towards building the federatedGPT: Federated instruction tuning
J Zhang, S Vahidian, M Kuo, C Li, R Zhang, T Yu, G Wang, Y Chen
ICASSP 2024 IEEE International Conference on Acoustics, Speech and Signal …, 2023
强制性开放获取政策： US National Science Foundation, US Department of Defense
Policy Optimization as Wasserstein Gradient Flows
R Zhang, C Chen, C Li, L Carin
International Conference on Machine Learning, 2018
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
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
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
Few-shot class-incremental learning for named entity recognition
R Wang, T Yu, H Zhao, S Kim, S Mitra, R Zhang, R Henao
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
强制性开放获取政策： US Department of Defense, US National Institutes of Health
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
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
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
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding
J Wu, T Yu, R Wang, Z Song, R Zhang, H Zhao, C Lu, S Li, R Henao
Advances in Neural Information Processing Systems, 2023
强制性开放获取政策： US Department of Defense
Improving Textual Network Learning with Variational Homophilic Embeddings
W Wang, C Tao, Z Gan, G Wang, L Chen, X Zhang, R Zhang, Q Yang, ...
Advances in Neural Information Processing Systems, 2019
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
Federated non-negative matrix factorization for short texts topic modeling with mutual information
S Si, J Wang, R Zhang, Q Su, J Xiao
2022 International Joint Conference on Neural Networks (IJCNN), 1-7, 2022
强制性开放获取政策： 国家自然科学基金委员会
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels
J Chen, R Zhang, T Yu, R Sharma, Z Xu, T Sun, C Chen
Advances in Neural Information Processing Systems, 2023
强制性开放获取政策： US National Science Foundation, US Institute of Education Sciences, US …
Learning to Recommend from Sparse Data via Generative User Feedback
W Wang, H Xu, R Zhang, W Wang, P Rai, L Carin
AAAI Conference on Artificial Intelligence, 2021
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
Semantic Matching for Sequence-to-Sequence Learning
R Zhang, C Chen, X Zhang, K Bai, L Carin
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
Nested-Wasserstein Self-Imitation Learning for Sequence Generation
R Zhang, C Chen, Z Gan, Z Wen, W Wang, L Carin
International Conference on Artificial Intelligence and Statistics, 2020
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning
R Wang, T Yu, R Zhang, S Kim, R Rossi, H Zhao, J Wu, S Mitra, L Yao, ...
Findings of the Association for Computational Linguistics: NAACL 2024, 4597-4612, 2023
强制性开放获取政策： US Department of Defense
Few-shot composition learning for image retrieval with prompt tuning
J Wu, R Wang, H Zhao, R Zhang, C Lu, S Li, R Henao
Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4729-4737, 2023
强制性开放获取政策： US Department of Defense
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