Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspectiveby…
Selective Preference Optimization via Token-Level Reward Function Estimationby Kailai Yang, Zhiwei Liu, Qianqian Xie, Jimin…
Decentralised Variational Inference Frameworks for Multi-object Tracking on Sensor Networks: Additional Notesby Qing Li, Runze…
Explainable Concept Generation through Vision-Language Preference Learningby Aditya Taparia, Som Sagar, Ransalu SenanayakeFirst submitted to…
Thresholded Lexicographic Ordered Multiobjective Reinforcement Learningby Alperen Tercan, Vinayak S. PrabhuFirst submitted to arxiv on:…
Improving Equivariant Model Training via Constraint Relaxationby Stefanos Pertigkiozoglou, Evangelos Chatzipantazis, Shubhendu Trivedi, Kostas DaniilidisFirst…
The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies,…
Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacksby Zhenyu Liu, Haoran Duan,…
Verification of Geometric Robustness of Neural Networks via Piecewise Linear Approximation and Lipschitz Optimisationby Ben…
Data-Centric Approach to Constrained Machine Learning: A Case Study on Conway’s Game of Lifeby Anton…