Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometryby Ziheng Chen,…
Learning to Unlearn for Robust Machine Unlearningby Mark He Huang, Lin Geng Foo, Jun LiuFirst…
LightCL: Compact Continual Learning with Low Memory Footprint For Edge Deviceby Zeqing Wang, Fei Cheng,…
LeanQuant: Accurate and Scalable Large Language Model Quantization with Loss-error-aware Gridby Tianyi Zhang, Anshumali ShrivastavaFirst…
Harnessing Feature Clustering For Enhanced Anomaly Detection With Variational Autoencoder And Dynamic Thresholdby Tolulope Ale,…
MKDTI: Predicting drug-target interactions via multiple kernel fusion on graph attention networkby Yuhuan Zhou, Yulin…
Have ASkotch: A Neat Solution for Large-scale Kernel Ridge Regressionby Pratik Rathore, Zachary Frangella, Jiaming…
Optimal Kernel Choice for Score Function-based Causal Discoveryby Wenjie Wang, Biwei Huang, Feng Liu, Xinge…
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classificationby Sreeraj Ramachandran, Ajita RattaniFirst submitted…
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentationby Li Li, Hubert P. H.…