Summary of A General Theory For Compositional Generalization, by Jingwen Fu et al.
A General Theory for Compositional Generalizationby Jingwen Fu, Zhizheng Zhang, Yan Lu, Nanning ZhengFirst submitted…
A General Theory for Compositional Generalizationby Jingwen Fu, Zhizheng Zhang, Yan Lu, Nanning ZhengFirst submitted…
Configurable Mirror Descent: Towards a Unification of Decision Makingby Pengdeng Li, Shuxin Li, Chang Yang,…
Asymptotic theory of in-context learning by linear attentionby Yue M. Lu, Mary I. Letey, Jacob…
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learningby Kai Gan, Tong WeiFirst submitted to…
Fed-Credit: Robust Federated Learning with Credibility Managementby Jiayan Chen, Zhirong Qian, Tianhui Meng, Xitong Gao,…
Interpretability of Statistical, Machine Learning, and Deep Learning Models for Landslide Susceptibility Mapping in Three…
Exploring Ordinality in Text Classification: A Comparative Study of Explicit and Implicit Techniquesby Siva Rajesh…
Efficient Multi-agent Reinforcement Learning by Planningby Qihan Liu, Jianing Ye, Xiaoteng Ma, Jun Yang, Bin…
From SHAP Scores to Feature Importance Scoresby Olivier Letoffe, Xuanxiang Huang, Nicholas Asher, Joao Marques-SilvaFirst…
General bounds on the quality of Bayesian coresetsby Trevor CampbellFirst submitted to arxiv on: 20…