Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers

28 May 2019

Papers citing "Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers"

6 / 6 papers shown

Title
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning Yuxiang Lu Shengcao Cao Yu-Xiong Wang 124 1 0 18 Oct 2024
Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation Chuanguang Yang Xinqiang Yu Zhulin An Yongjun Xu VLM OffRL 191 26 0 19 Jun 2023
Learning with Recoverable Forgetting Jingwen Ye Yifang Fu Mingli Song Xingyi Yang Songhua Liu Xin Jin Mingli Song Xinchao Wang CLL KELM 113 42 0 17 Jul 2022
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Xiuming Zhang Dacheng Tao Xinchao Wang 239 233 0 23 Mar 2020
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN Jingwen Ye Yixin Ji Xinchao Wang Xin Gao Xiuming Zhang 126 53 0 20 Mar 2020
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation Chengchao Shen Mengqi Xue Xinchao Wang Mingli Song Li Sun Xiuming Zhang MoMe 63 59 0 20 Aug 2019