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Shentao Yang
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2020 – today
- 2024
- [c5]Shentao Yang, Tianqi Chen, Mingyuan Zhou:
A Dense Reward View on Aligning Text-to-Image Diffusion with Preference. ICML 2024 - [i8]Shentao Yang, Tianqi Chen, Mingyuan Zhou:
A Dense Reward View on Aligning Text-to-Image Diffusion with Preference. CoRR abs/2402.08265 (2024) - [i7]Rohan Chitnis, Shentao Yang, Alborz Geramifard:
Sequential Decision-Making for Inline Text Autocomplete. CoRR abs/2403.15502 (2024) - [i6]Shentao Yang, Haichuan Yang, Linna Du, Adithya Ganesh, Bo Peng, Boying Liu, Serena Li, Ji Liu:
SWaT: Statistical Modeling of Video Watch Time through User Behavior Analysis. CoRR abs/2408.07759 (2024) - 2023
- [c4]Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang:
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. ICLR 2023 - [c3]Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou:
Preference-grounded Token-level Guidance for Language Model Fine-tuning. NeurIPS 2023 - [i5]Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang:
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. CoRR abs/2302.10342 (2023) - [i4]Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou:
Preference-grounded Token-level Guidance for Language Model Fine-tuning. CoRR abs/2306.00398 (2023) - 2022
- [c2]Shentao Yang, Yihao Feng, Shujian Zhang, Mingyuan Zhou:
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning. ICML 2022: 24980-25006 - [c1]Shentao Yang, Shujian Zhang, Yihao Feng, Mingyuan Zhou:
A Unified Framework for Alternating Offline Model Training and Policy Learning. NeurIPS 2022 - [i3]Shentao Yang, Zhendong Wang, Huangjie Zheng, Yihao Feng, Mingyuan Zhou:
A Regularized Implicit Policy for Offline Reinforcement Learning. CoRR abs/2202.09673 (2022) - [i2]Shentao Yang, Yihao Feng, Shujian Zhang, Mingyuan Zhou:
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning. CoRR abs/2206.07166 (2022) - [i1]Shentao Yang, Shujian Zhang, Yihao Feng, Mingyuan Zhou:
A Unified Framework for Alternating Offline Model Training and Policy Learning. CoRR abs/2210.05922 (2022)
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last updated on 2024-09-25 01:42 CEST by the dblp team
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