Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series…
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Modelsby Fan Wang, Juyong Jiang, Chansung Park, Sunghun…
Hyperspectral Image Spectral-Spatial Feature Extraction via Tensor Principal Component Analysisby Yuemei Ren, Liang Liao, Stephen…
Learning from Snapshots of Discrete and Continuous Data Streamsby Pramith Devulapalli, Steve HannekeFirst submitted to…
Ethnography and Machine Learning: Synergies and New Directionsby Zhuofan Li, Corey M. AbramsonFirst submitted to…
Fully Distributed Online Training of Graph Neural Networks in Networked Systemsby Rostyslav Olshevskyi, Zhongyuan Zhao,…
Enhanced Computationally Efficient Long LoRA Inspired Perceiver Architectures for Auto-Regressive Language Modelingby Kaleel Mahmood, Shaoyi…
Bounded Exploration with World Model Uncertainty in Soft Actor-Critic Reinforcement Learning Algorithmby Ting Qiao, Henry…
PowerMamba: A Deep State Space Model and Comprehensive Benchmark for Time Series Prediction in Electric…
MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimizationby Kangyu Zhu, Peng Xia, Yun…