Summary of Aligning Few-step Diffusion Models with Dense Reward Difference Learning, by Ziyi Zhang et al.
Aligning Few-Step Diffusion Models with Dense Reward Difference Learningby Ziyi Zhang, Li Shen, Sen Zhang,…
Aligning Few-Step Diffusion Models with Dense Reward Difference Learningby Ziyi Zhang, Li Shen, Sen Zhang,…
Physics meets Topology: Physics-informed topological neural networks for learning rigid body dynamicsby Amaury Wei, Olga…
Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimationby Hechuan Wen, Tong Chen, Guanhua Ye,…
Mitigating Relative Over-Generalization in Multi-Agent Reinforcement Learningby Ting Zhu, Yue Jin, Jeremie Houssineau, Giovanni MontanaFirst…
An Oversampling-enhanced Multi-class Imbalanced Classification Framework for Patient Health Status Prediction Using Patient-reported Outcomesby Yang…
Low-Rank Optimal Transport through Factor Relaxation with Latent Couplingby Peter Halmos, Xinhao Liu, Julian Gold,…
MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlationsby Qixuan Jin,…
Hysteresis Activation Function for Efficient Inferenceby Moshe Kimhi, Idan Kashani, Avi Mendelson, Chaim BaskinFirst submitted…
Towards Sample-Efficiency and Generalization of Transfer and Inverse Reinforcement Learning: A Comprehensive Literature Reviewby Hossein…
Federated Domain Generalization via Prompt Learning and Aggregationby Shuai Gong, Chaoran Cui, Chunyun Zhang, Wenna…