Enhancing Activity Recognition After Stroke: Generative Adversarial Networks for Kinematic Data Augmentationby Aaron J. Hadley,…
Exploring the Spectrum of Visio-Linguistic Compositionality and Recognitionby Youngtaek Oh, Pyunghwan Ahn, Jinhyung Kim, Gwangmo…
Detection-Rate-Emphasized Multi-objective Evolutionary Feature Selection for Network Intrusion Detectionby Zi-Hang Cheng, Haopu Shang, Chao QianFirst…
MirrorCheck: Efficient Adversarial Defense for Vision-Language Modelsby Samar Fares, Klea Ziu, Toluwani Aremu, Nikita Durasov,…
Assessing Model Generalization in Vicinityby Yuchi Liu, Yifan Sun, Jingdong Wang, Liang ZhengFirst submitted to…
Large Language Model as a Teacher for Zero-shot Tagging at Extreme Scalesby Jinbin Zhang, Nasib…
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarseningby Guy Bar-Shalom,…
Generative vs. Discriminative modeling under the lens of uncertainty quantificationby Elouan Argouarc'h, François Desbouvries, Eric Barat,…
BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analyticsby Arian Prabowo, Xiachong Lin, Imran Razzak, Hao…
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classificationby Yuankai Luo, Lei Shi, Xiao-Ming…