M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental
Learning

M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning

3 April 2019

Zuxuan Wu

Papers citing "M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning"

18 / 18 papers shown

Title
Realistic Continual Learning Approach using Pre-trained Models Nadia Nasri Carlos Gutiérrez-Álvarez Sergio Lafuente-Arroyo Saturnino Maldonado-Bascón Roberto J. López-Sastre CLL 43 0 0 11 Apr 2024
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery Mengya Xu Mobarakol Islam Long Bai Hongliang Ren 33 5 0 08 Feb 2024
Teacher-Student Architecture for Knowledge Distillation: A Survey Chengming Hu Xuan Li Danyang Liu Haolun Wu Xi Chen Ju Wang Xue Liu 21 16 0 08 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants Yibo Yang Haobo Yuan Hefei Ling Jianlong Wu Lefei Zhang Zhouchen Lin Philip Torr Dacheng Tao Guohao Li CLL 31 8 0 03 Aug 2023
Online Continual Learning via the Knowledge Invariant and Spread-out Properties Ya-nan Han Jian-wei Liu CLL 38 7 0 02 Feb 2023
EPIK: Eliminating multi-model Pipelines with Knowledge-distillation Bhavesh Laddagiri Yash Raj Anshuman Dash 16 0 0 27 Nov 2022
Teacher-Student Architecture for Knowledge Learning: A Survey Chengming Hu Xuan Li Dan Liu Xi Chen Ju Wang Xue Liu 20 35 0 28 Oct 2022
Generalized Knowledge Distillation via Relationship Matching Han-Jia Ye Su Lu De-Chuan Zhan FedML 22 20 0 04 May 2022
Memory Efficient Continual Learning with Transformers Beyza Ermis Giovanni Zappella Martin Wistuba Aditya Rawal Cédric Archambeau CLL 29 43 0 09 Mar 2022
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion Arthur Douillard Alexandre Ramé Guillaume Couairon Matthieu Cord CLL 30 295 0 22 Nov 2021
DIODE: Dilatable Incremental Object Detection Can Peng Kun-li Zhao Sam Maksoud Tianren Wang Brian C. Lovell CLL ObjD 27 9 0 12 Aug 2021
There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge Francisco Rivera Valverde Juana Valeria Hurtado Abhinav Valada 26 72 0 01 Mar 2021
Initial Classifier Weights Replay for Memoryless Class Incremental Learning Eden Belouadah Adrian Daniel Popescu Ioannis Kanellos CLL 21 23 0 31 Aug 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 19 2,851 0 09 Jun 2020
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning Arthur Douillard Matthieu Cord Charles Ollion Thomas Robert Eduardo Valle CLL 9 6 0 28 Apr 2020
ScaIL: Classifier Weights Scaling for Class Incremental Learning Eden Belouadah Adrian Daniel Popescu CLL 22 78 0 16 Jan 2020
Maintaining Discrimination and Fairness in Class Incremental Learning Bowen Zhao Xi Xiao Guojun Gan Bin Zhang Shutao Xia CLL 23 416 0 16 Nov 2019
Knowledge Distillation for Incremental Learning in Semantic Segmentation Umberto Michieli Pietro Zanuttigh CLL VLM 28 98 0 08 Nov 2019