Education
EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models
Our experiments with extensive data indicate that the model trained on generated data of the advanced model can approximate its generation capability. However, it requires large-scale samples of 10 million or more.
Robot Policy Learning with Temporal Optimal Transport Reward
Reward specification is one of the most tricky problems in Reinforcement Learning, which usually requires tedious hand engineering in practice.
CogVLM: Visual Expert for Pretrained Language Models
We introduce CogVLM, a powerful open-source visual language foundation model.
An Autoencoder-Like Nonnegative Matrix Co-Factorization for Improved Student Cognitive Modeling Shenbao Y u
By exploiting students' response logs, SCM aims to predict their exercise
Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning Wenke Huang 1, Mang Y e
Existing backdoor defense methods typically require either homogeneous assumption, validation datasets, or client optimization conflicts.
Imitation learning (IL) aims to mimic the behavior of an expert in a sequential decision making task by learning from demonstrations, and has been widely applied
Full experimental details are provided in Appendix C.