Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillationby Chengyu Li, Debo Cheng, Guixian Zhang,…
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillationby Zhiqiang Shen, Ammar Sherif, Zeyuan Yin,…
FairDD: Fair Dataset Distillation via Synchronized Matchingby Qihang Zhou, Shenhao Fang, Shibo He, Wenchao Meng,…
Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEGby Xinxu Wei, Kanhao Zhao, Yong…
Diffusion Self-Distillation for Zero-Shot Customized Image Generationby Shengqu Cai, Eric Chan, Yunzhi Zhang, Leonidas Guibas,…
Reward Incremental Learning in Text-to-Image Generationby Maorong Wang, Jiafeng Mao, Xueting Wang, Toshihiko YamasakiFirst submitted…
From Machine Learning to Machine Unlearning: Complying with GDPR’s Right to be Forgotten while Maintaining…
Continual Deep Reinforcement Learning with Task-Agnostic Policy Distillationby Muhammad Burhan Hafez, Kerim ErekmenFirst submitted to…
ElastiFormer: Learned Redundancy Reduction in Transformer via Self-Distillationby Junzhang Liu, Tingkai Liu, Yueyuan Sui, Stephen…
Adaptive Group Robust Ensemble Knowledge Distillationby Patrik Kenfack, Ulrich Aïvodji, Samira Ebrahimi KahouFirst submitted to…