Summary of Dimension Reduction with Locally Adjusted Graphs, by Yingfan Wang et al.
Dimension Reduction with Locally Adjusted Graphsby Yingfan Wang, Yiyang Sun, Haiyang Huang, Cynthia RudinFirst submitted…
Summary of Offline Safe Reinforcement Learning Using Trajectory Classification, by Ze Gong et al.
Offline Safe Reinforcement Learning Using Trajectory Classificationby Ze Gong, Akshat Kumar, Pradeep VarakanthamFirst submitted to…
Summary of Time Will Tell: Timing Side Channels Via Output Token Count in Large Language Models, by Tianchen Zhang et al.
Time Will Tell: Timing Side Channels via Output Token Count in Large Language Modelsby Tianchen…
Summary of Efficient Neural Network Encoding For 3d Color Lookup Tables, by Vahid Zehtab et al.
Efficient Neural Network Encoding for 3D Color Lookup Tablesby Vahid Zehtab, David B. Lindell, Marcus…
Summary of Non-uniform Parameter-wise Model Merging, by Albert Manuel Orozco Camacho et al.
Non-Uniform Parameter-Wise Model Mergingby Albert Manuel Orozco Camacho, Stefan Horoi, Guy Wolf, Eugene BelilovskyFirst submitted…
Summary of Difficulty-aware Balancing Margin Loss For Long-tailed Recognition, by Minseok Son et al.
Difficulty-aware Balancing Margin Loss for Long-tailed Recognitionby Minseok Son, Inyong Koo, Jinyoung Park, Changick KimFirst…
Summary of Task-specific Preconditioner For Cross-domain Few-shot Learning, by Suhyun Kang et al.
Task-Specific Preconditioner for Cross-Domain Few-Shot Learningby Suhyun Kang, Jungwon Park, Wonseok Lee, Wonjong RheeFirst submitted…
Summary of Toward Appearance-based Autonomous Landing Site Identification For Multirotor Drones in Unstructured Environments, by Joshua Springer et al.
Toward Appearance-based Autonomous Landing Site Identification for Multirotor Drones in Unstructured Environmentsby Joshua Springer, Gylfi…
Summary of A Robust Prototype-based Network with Interpretable Rbf Classifier Foundations, by Sascha Saralajew et al.
A Robust Prototype-Based Network with Interpretable RBF Classifier Foundationsby Sascha Saralajew, Ashish Rana, Thomas Villmann,…
Summary of Understanding When and Why Graph Attention Mechanisms Work Via Node Classification, by Zhongtian Ma et al.
Understanding When and Why Graph Attention Mechanisms Work via Node Classificationby Zhongtian Ma, Qiaosheng Zhang,…