activity
20182025
most citedInvestigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering

69 citations · 115 across the 29 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.LG2024

Reinforcement Learning From Imperfect Corrective Actions And Proxy Rewards

Zhaohui Jiang, Xuening Feng, Paul Weng +6

In practice, reinforcement learning (RL) agents are often trained with a possibly imperfect proxy reward function, which may lead to a human-agent alignment issue (i.e., the learne…

cs.CV2024★ 1 cited

StyleTalk++: A Unified Framework for Controlling the Speaking Styles of Talking Heads

Suzhen Wang, Yifeng Ma, Yu Ding +5

Individuals have unique facial expression and head pose styles that reflect their personalized speaking styles. Existing one-shot talking head methods cannot capture such personali…

cs.LG2024

Bayesian Design Principles for Offline-to-Online Reinforcement Learning

Hao Hu, Yiqin Yang, Jianing Ye +7

Offline reinforcement learning (RL) is crucial for real-world applications where exploration can be costly or unsafe. However, offline learned policies are often suboptimal, and fu…

cs.LG2024

vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement

Yiwen Zhu, Jinyi Liu, Wenya Wei +7

Reinforcement Learning (RL) is a widely employed technique in decision-making problems, encompassing two fundamental operations -- policy evaluation and policy improvement. Enhanci…

math.OC2024

Preconditioned Nonlinear Conjugate Gradient Method for Real-time Interior-point Hyperelasticity

Xing Shen, Runyuan Cai, Mengxiao Bi +1

The linear conjugate gradient method is widely used in physical simulation, particularly for solving large-scale linear systems derived from Newton's method. The nonlinear conjugat…

cs.HC2024

A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment

Fei Wang, Haoyu Liu, Haoyang Bi +9

For the purpose of efficient and cost-effective large-scale data labeling, crowdsourcing is increasingly being utilized. To guarantee the quality of data labeling, multiple annotat…