DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosisby Shangshang Yang, Mingyang Chen,…
Differentially Private Learning Needs Better Model Initialization and Self-Distillationby Ivoline C. Ngong, Joseph P. Near,…
Securing Federated Learning Against Novel and Classic Backdoor Threats During Foundation Model Integrationby Xiaohuan Bi,…
Adversarial Domain Adaptation for Metal Cutting Sound Detection: Leveraging Abundant Lab Data for Scarce Industry…
A Kernel Perspective on Distillation-based Collaborative Learningby Sejun Park, Kihun Hong, Ganguk HwangFirst submitted to…
Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networksby Jianjun Wei, Yue…
Incremental Learning of Affordances using Markov Logic Networksby George Potter, Gertjan Burghouts, Joris SijsFirst submitted…
Bonsai: Gradient-free Graph Distillation for Node Classificationby Mridul Gupta, Samyak Jain, Vansh Ramani, Hariprasad Kodamana,…
Entity-based Reinforcement Learning for Autonomous Cyber Defenceby Isaac Symes Thompson, Alberto Caron, Chris Hicks, Vasilios…
Is Smoothness the Key to Robustness? A Comparison of Attention and Convolution Models Using a…