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Prototype-Sample Relation Distillation: Towards Replay-Free Continual
  Learning

Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning

26 March 2023
Nader Asadi
Mohammad Davar
Sudhir Mudur
Rahaf Aljundi
Eugene Belilovsky
    CLL
ArXivPDFHTML

Papers citing "Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning"

19 / 19 papers shown
Title
Componential Prompt-Knowledge Alignment for Domain Incremental Learning
Componential Prompt-Knowledge Alignment for Domain Incremental Learning
Kunlun Xu
Xu Zou
Gang Hua
Jiahuan Zhou
CLL
73
0
0
07 May 2025
Prototype-Based Continual Learning with Label-free Replay Buffer and Cluster Preservation Loss
Prototype-Based Continual Learning with Label-free Replay Buffer and Cluster Preservation Loss
Agil Aghasanli
Yi Li
Plamen Angelov
CLL
VLM
45
0
0
09 Apr 2025
DiCoTTA: Domain-invariant Learning for Continual Test-time Adaptation
DiCoTTA: Domain-invariant Learning for Continual Test-time Adaptation
Sohyun Lee
N. Kim
Juwon Kang
Seong Joon Oh
Suha Kwak
83
0
0
07 Apr 2025
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation
H. Li
Yuecong Xu
Junjie Chen
Kemi Ding
3DPC
CLL
37
0
0
02 Apr 2025
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
Patrick Rim
Hyoungseob Park
Suchisrit Gangopadhyay
Ziyao Zeng
Younjoon Chung
Alex Wong
CLL
MDE
58
1
0
17 Mar 2025
WECAR: An End-Edge Collaborative Inference and Training Framework for WiFi-Based Continuous Human Activity Recognition
Rong Li
Tao Deng
Siwei Feng
He Huang
Juncheng Jia
Di Yuan
Keqin Li
46
0
0
09 Mar 2025
ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking
ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking
Rong Li
Tao Deng
Siwei Feng
Mingjie Sun
Juncheng Jia
CLL
33
1
0
18 Feb 2025
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced
  Continual Large Models
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced Continual Large Models
Jiao Chen
Jiayi He
Fangfang Chen
Zuohong Lv
Jianhua Tang
Weihua Li
Zuozhu Liu
Howard H. Yang
Guangjie Han
AI4CE
34
1
0
02 Sep 2024
Controlling Forgetting with Test-Time Data in Continual Learning
Controlling Forgetting with Test-Time Data in Continual Learning
Vaibhav Singh
Rahaf Aljundi
Eugene Belilovsky
CLL
VLM
KELM
19
3
0
19 Jun 2024
SFDDM: Single-fold Distillation for Diffusion models
SFDDM: Single-fold Distillation for Diffusion models
Chi Hong
Jiyue Huang
Robert Birke
Dick H. J. Epema
Stefanie Roos
Lydia Y. Chen
21
1
0
23 May 2024
Watch Your Step: Optimal Retrieval for Continual Learning at Scale
Watch Your Step: Optimal Retrieval for Continual Learning at Scale
Truman Hickok
Dhireesha Kudithipudi
25
0
0
16 Apr 2024
Contrastive Continual Learning with Importance Sampling and
  Prototype-Instance Relation Distillation
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation
Jiyong Li
Dilshod Azizov
Yang Li
Shangsong Liang
CLL
24
2
0
07 Mar 2024
Model Breadcrumbs: Scaling Multi-Task Model Merging with Sparse Masks
Model Breadcrumbs: Scaling Multi-Task Model Merging with Sparse Masks
Mohammad-Javad Davari
Eugene Belilovsky
MoMe
19
54
0
11 Dec 2023
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning
Jiaqi Li
Yuanhao Lai
Rui Wang
Changjian Shui
Sabyasachi Sahoo
Charles X. Ling
Shichun Yang
Boyu Wang
Christian Gagné
Fan Zhou
CLL
20
1
0
26 Nov 2023
FeCAM: Exploiting the Heterogeneity of Class Distributions in
  Exemplar-Free Continual Learning
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
Dipam Goswami
Yuyang Liu
Bartlomiej Twardowski
Joost van de Weijer
CLL
8
52
0
25 Sep 2023
Overcoming Generic Knowledge Loss with Selective Parameter Update
Overcoming Generic Knowledge Loss with Selective Parameter Update
Wenxuan Zhang
Paul Janson
Rahaf Aljundi
Mohamed Elhoseiny
KELM
CLL
11
10
0
23 Aug 2023
Latent Spectral Regularization for Continual Learning
Latent Spectral Regularization for Continual Learning
Emanuele Frascaroli
Riccardo Benaglia
Matteo Boschini
Luca Moschella
Cosimo Fiorini
Emanuele Rodolà
Simone Calderara
BDL
CLL
8
3
0
09 Jan 2023
CLAD: A realistic Continual Learning benchmark for Autonomous Driving
CLAD: A realistic Continual Learning benchmark for Autonomous Driving
Eli Verwimp
Kuo Yang
Sarah Parisot
Hong Lanqing
Steven G. McDonagh
Eduardo Pérez-Pellitero
Matthias De Lange
Tinne Tuytelaars
30
46
0
07 Oct 2022
Towards Diverse Evaluation of Class Incremental Learning: A
  Representation Learning Perspective
Towards Diverse Evaluation of Class Incremental Learning: A Representation Learning Perspective
Sungmin Cha
Jihwan Kwak
Dongsub Shim
Hyunwoo J. Kim
Moontae Lee
Honglak Lee
Taesup Moon
CLL
15
1
0
16 Jun 2022
1