Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Priorby Youngjae Cho, HeeSun…
A tree-based varying coefficient modelby Henning Zakrisson, Mathias LindholmFirst submitted to arxiv on: 11 Jan…
Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for…
A Large-Scale Empirical Study on Improving the Fairness of Image Classification Modelsby Junjie Yang, Jiajun…
When To Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networksby Haihang…
A Survey Analyzing Generalization in Deep Reinforcement Learningby Ezgi KorkmazFirst submitted to arxiv on: 4…
Explainable Adaptive Tree-based Model Selection for Time Series Forecastingby Matthias Jakobs, Amal SaadallahFirst submitted to…
Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensemblesby Yuanzhao Zhai, Han Zhang,…
FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentationby Tong…
How the level sampling process impacts zero-shot generalisation in deep reinforcement learningby Samuel Garcin, James…