FedCRL: Personalized Federated Learning with Contrastive Shared Representations for Label Heterogeneity in Non-IID Databy Chenghao…
Accurate and fast anomaly detection in industrial processes and IoT environmentsby Simone Tonini, Andrea Vandin,…
Critical Review for One-class Classification: recent advances and the reality behind themby Toshitaka Hayashi, Dalibor…
DTization: A New Method for Supervised Feature Scalingby Niful IslamFirst submitted to arxiv on: 27…
Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networksby Duna Zhan,…
Large Language Model Agent as a Mechanical Designerby Yayati Jadhav, Amir Barati FarimaniFirst submitted to…
Using Neural Implicit Flow To Represent Latent Dynamics Of Canonical Systemsby Imran Nasim, Joaõ Lucas…
Probabilistic Inference in Language Models via Twisted Sequential Monte Carloby Stephen Zhao, Rob Brekelmans, Alireza…
An exactly solvable model for emergence and scaling laws in the multitask sparse parity problemby…
CoSD: Collaborative Stance Detection with Contrastive Heterogeneous Topic Graph Learningby Yinghan Cheng, Qi Zhang, Chongyang…