Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networksby Lin Zuo, Yongqi Ding, Mengmeng…
Small Scale Data-Free Knowledge Distillationby He Liu, Yikai Wang, Huaping Liu, Fuchun Sun, Anbang YaoFirst…
Flow Map Matchingby Nicholas M. Boffi, Michael S. Albergo, Eric Vanden-EijndenFirst submitted to arxiv on:…
Latent Diffusion Model-Enabled Low-Latency Semantic Communication in the Presence of Semantic Ambiguities and Wireless Channel…
Mitigating Bias in Dataset Distillationby Justin Cui, Ruochen Wang, Yuanhao Xiong, Cho-Jui HsiehFirst submitted to…
Online Policy Distillation with Decision-Attentionby Xinqiang Yu, Chuanguang Yang, Chengqing Yu, Libo Huang, Zhulin An,…
What is Dataset Distillation Learning?by William Yang, Ye Zhu, Zhiwei Deng, Olga RussakovskyFirst submitted to…
ReDistill: Residual Encoded Distillation for Peak Memory Reductionby Fang Chen, Gourav Datta, Mujahid Al Rafi,…
Low-Rank Similarity Mining for Multimodal Dataset Distillationby Yue Xu, Zhilin Lin, Yusong Qiu, Cewu Lu,…
Mutual Information Guided Backdoor Mitigation for Pre-trained Encodersby Tingxu Han, Weisong Sun, Ziqi Ding, Chunrong…