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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
47
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
48
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
38
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
24
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
23
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
26
7
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
24
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
10
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
13
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
13
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
35
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