IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Contentby Guangjing Huang,…
Adaptive Teaching with Shared Classifier for Knowledge Distillationby Jaeyeon Jang, Young-Ik Kim, Jisu Lim, Hyeonseong…
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoningby Jaehyun Nam, Kyuyoung…
Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learningby Mohammadreza Nakhaei, Aidan Scannell, Joni…
Dataset Enhancement with Instance-Level Augmentationsby Orest Kupyn, Christian RupprechtFirst submitted to arxiv on: 12 Jun…
Leveraging Large Language Models for Web Scrapingby Aman Ahluwalia, Suhrud WaniFirst submitted to arxiv on:…
Learning positional encodings in transformers depends on initializationby Takuya Ito, Luca Cocchi, Tim Klinger, Parikshit…
Conformal Load Prediction with Transductive Graph Autoencodersby Rui Luo, Nicolo ColomboFirst submitted to arxiv on:…
Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networksby Wenying Duan, Tianxiang…
Decoupling the Class Label and the Target Concept in Machine Unlearningby Jianing Zhu, Bo Han,…