Summary of Understanding the Gains From Repeated Self-distillation, by Divyansh Pareek et al.
Understanding the Gains from Repeated Self-Distillationby Divyansh Pareek, Simon S. Du, Sewoong OhFirst submitted to…
Summary of Parameter-selective Continual Test-time Adaptation, by Jiaxu Tian et al.
Parameter-Selective Continual Test-Time Adaptationby Jiaxu Tian, Fan LyuFirst submitted to arxiv on: 2 Jul 2024CategoriesMain:…
Summary of Mugsi: Distilling Gnns with Multi-granularity Structural Information For Graph Classification, by Tianjun Yao et al.
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classificationby Tianjun Yao, Jiaqi Sun, Defu…
Summary of Inficond: Interactive No-code Fine-tuning with Concept-based Knowledge Distillation, by Jinbin Huang et al.
InFiConD: Interactive No-code Fine-tuning with Concept-based Knowledge Distillationby Jinbin Huang, Wenbin He, Liang Gou, Liu…
Summary of Controlling Forgetting with Test-time Data in Continual Learning, by Vaibhav Singh et al.
Controlling Forgetting with Test-Time Data in Continual Learningby Vaibhav Singh, Rahaf Aljundi, Eugene BelilovskyFirst submitted…
Summary of Self-distillation Learning Based on Temporal-spatial Consistency For Spiking Neural Networks, by Lin Zuo and Yongqi Ding and Mengmeng Jing and Kunshan Yang and Yunqian Yu
Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networksby Lin Zuo, Yongqi Ding, Mengmeng…
Summary of Dkdl-net: a Lightweight Bearing Fault Detection Model Via Decoupled Knowledge Distillation and Low-rank Adaptation Fine-tuning, by Ovanes Petrosian and Li Pengyi and He Yulong and Liu Jiarui and Sun Zhaoruikun and Fu Guofeng and Meng Liping
DKDL-Net: A Lightweight Bearing Fault Detection Model via Decoupled Knowledge Distillation and Low-Rank Adaptation Fine-tuningby…
Summary of Online Policy Distillation with Decision-attention, by Xinqiang Yu et al.
Online Policy Distillation with Decision-Attentionby Xinqiang Yu, Chuanguang Yang, Chengqing Yu, Libo Huang, Zhulin An,…
Summary of Robust Knowledge Distillation Based on Feature Variance Against Backdoored Teacher Model, by Jinyin Chen et al.
Robust Knowledge Distillation Based on Feature Variance Against Backdoored Teacher Modelby Jinyin Chen, Xiaoming Zhao,…
Summary of Decision Boundary-aware Knowledge Consolidation Generates Better Instance-incremental Learner, by Qiang Nie et al.
Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental Learnerby Qiang Nie, Weifu Fu, Yuhuan Lin, Jialin…