Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environmentsby Paulius Rauba, Nabeel Seedat,…
Semantic Knowledge Distillation for Onboard Satellite Earth Observation Image Classificationby Thanh-Dung Le, Vu Nguyen Ha,…
Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient…
IO Transformer: Evaluating SwinV2-Based Reward Models for Computer Visionby Maxwell Meyer, Jack SpruytFirst submitted to…
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKAby David Smerkous, Qinxun…
Linear Chain Transformation: Expanding Optimization Dynamics for Fine-Tuning Large Language Modelsby Yulong Wang, Chang Zuo,…
Beyond Accuracy: Ensuring Correct Predictions With Correct Rationalesby Tang Li, Mengmeng Ma, Xi PengFirst submitted…
Derivative-Free Optimization via Finite Difference Approximation: An Experimental Studyby Wang Du-Yi, Liang Guo, Liu Guangwu,…
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendationby Weiqin Yang, Jiawei Chen,…
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimizationby Mujin Cheon, Jay H. Lee, Dong-Yeun…