Unifying Heterogeneous Classifiers with Distillation

12 April 2019

Papers citing "Unifying Heterogeneous Classifiers with Distillation"

11 / 11 papers shown

Title
Federated One-Shot Learning with Data Privacy and Objective-Hiding Maximilian Egger Rüdiger Urbanke Rawad Bitar FedML 63 0 0 29 Apr 2025
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning Yuxiang Lu Shengcao Cao Yu-xiong Wang 60 1 0 18 Oct 2024
Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework Junzhuo Li Xinwei Wu Weilong Dong Shuangzhi Wu Chao Bian Deyi Xiong 36 3 0 16 Dec 2022
Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks Cuong Pham Tuan Hoang Thanh-Toan Do FedML MQ 40 14 0 27 Oct 2022
Distillation of Human-Object Interaction Contexts for Action Recognition Muna Almushyti Frederick W. Li 39 3 0 17 Dec 2021
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph Nuttapong Chairatanakul Noppayut Sriwatanasakdi Nontawat Charoenphakdee Xin Liu T. Murata 36 4 0 09 Sep 2021
Pool of Experts: Realtime Querying Specialized Knowledge in Massive Neural Networks Hakbin Kim Dong-Wan Choi 25 2 0 03 Jul 2021
Adaptive Multi-Teacher Multi-level Knowledge Distillation Yuang Liu Wei Zhang Jun Wang 28 157 0 06 Mar 2021
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge Chaoyang He M. Annavaram A. Avestimehr FedML 32 23 0 28 Jul 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 28 2,857 0 09 Jun 2020
Unifying Specialist Image Embedding into Universal Image Embedding Yang Feng Futang Peng Xu-Yao Zhang Wei-wei Zhu Shanfeng Zhang Howard Zhou Zhen Li Tom Duerig Shih-Fu Chang Jiebo Luo SSL 32 5 0 08 Mar 2020