Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generatorby Thinh Nguyen, Khoa…
Generating In-store Customer Journeys from Scratch with GPT Architecturesby Taizo Horikomi, Takayuki MizunoFirst submitted to…
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature Learningby Zitong Wang, Xuexiong Luo, Enfeng…
Direct-Inverse Prompting: Analyzing LLMs’ Discriminative Capacity in Self-Improving Generationby Jihyun Janice Ahn, Ryo Kamoi, Lu…
Backdoor Graph Condensationby Jiahao Wu, Ning Lu, Zeiyu Dai, Wenqi Fan, Shengcai Liu, Qing Li,…
Precise and Efficient Orbit Prediction in LEO with Machine Learning using Exogenous Variablesby Francisco Caldas,…
A robust three-way classifier with shadowed granular-balls based on justifiable granularityby Jie Yang, Lingyun Xiaodiao,…
A Geometric Framework for Adversarial Vulnerability in Machine Learningby Brian BellFirst submitted to arxiv on:…
DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMsby Zhen Tan, Daize Dong, Xinyu…
Purification Of Contaminated Convolutional Neural Networks Via Robust Recovery: An Approach with Theoretical Guarantee in…