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Supervised Contrastive Replay: Revisiting the Nearest Class Mean
  Classifier in Online Class-Incremental Continual Learning

Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning

22 March 2021
Zheda Mai
Ruiwen Li
Hyunwoo J. Kim
Scott Sanner
    CLL
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Papers citing "Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning"

50 / 102 papers shown
Title
Inclusive Training Separation and Implicit Knowledge Interaction for Balanced Online Class-Incremental Learning
Inclusive Training Separation and Implicit Knowledge Interaction for Balanced Online Class-Incremental Learning
Shunjie Wen
Thomas Heinis
Dong-Wan Choi
CLL
44
0
0
29 Apr 2025
GPS: Distilling Compact Memories via Grid-based Patch Sampling for Efficient Online Class-Incremental Learning
GPS: Distilling Compact Memories via Grid-based Patch Sampling for Efficient Online Class-Incremental Learning
Mingchuan Ma
Yuhao Zhou
Jindi Lv
Yuxin Tian
Dan Si
Shujian Li
Qing Ye
Jiancheng Lv
CLL
41
0
0
14 Apr 2025
Learning from Streaming Video with Orthogonal Gradients
Learning from Streaming Video with Orthogonal Gradients
Tengda Han
Dilara Gokay
Joseph Heyward
Chuhan Zhang
Daniel Zoran
Viorica Patraucean
João Carreira
Dima Damen
Andrew Zisserman
48
0
0
02 Apr 2025
Optimal Transport-Guided Source-Free Adaptation for Face Anti-Spoofing
Optimal Transport-Guided Source-Free Adaptation for Face Anti-Spoofing
Zhu Li
Tianchen Zhao
Xiang Xu
Zheng Zhang
Zhihua Li
Xuanbai Chen
Q. Zhang
Alessandro Bergamo
Anil K. Jain
Yifan Xing
37
0
0
29 Mar 2025
Ancestral Mamba: Enhancing Selective Discriminant Space Model with Online Visual Prototype Learning for Efficient and Robust Discriminant Approach
Ancestral Mamba: Enhancing Selective Discriminant Space Model with Online Visual Prototype Learning for Efficient and Robust Discriminant Approach
Jiahao Qin
Feng Liu
Lu Zong
Mamba
40
0
0
26 Mar 2025
Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models
Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models
Susmit Agrawal
Deepika Vemuri
S. Paul
Vineeth N. Balasubramanian
CLL
67
0
0
27 Feb 2025
Online Prototypes and Class-Wise Hypergradients for Online Continual Learning with Pre-Trained Models
Online Prototypes and Class-Wise Hypergradients for Online Continual Learning with Pre-Trained Models
Nicolas Michel
Maorong Wang
Jiangpeng He
Toshihiko Yamasaki
CLL
59
0
0
26 Feb 2025
Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning
Online Curvature-Aware Replay: Leveraging 2nd\mathbf{2^{nd}}2nd Order Information for Online Continual Learning
Edoardo Urettini
Antonio Carta
73
0
0
03 Feb 2025
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos
Yanlai Yang
Mengye Ren
195
0
0
21 Jan 2025
Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in
  Proxy-based Continual Learning
Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in Proxy-based Continual Learning
Hongye Xu
Jan Wasilewski
Bartosz Krawczyk
CLL
89
0
0
19 Dec 2024
Soft-TransFormers for Continual Learning
Soft-TransFormers for Continual Learning
Haeyong Kang
Chang D. Yoo
CLL
85
0
0
25 Nov 2024
Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation
Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation
Xiwen Wei
Guihong Li
R. Marculescu
42
2
0
08 Nov 2024
Exploring the Stability Gap in Continual Learning: The Role of the
  Classification Head
Exploring the Stability Gap in Continual Learning: The Role of the Classification Head
Wojciech Łapacz
Daniel Marczak
Filip Szatkowski
Tomasz Trzciñski
41
1
0
06 Nov 2024
Continual Learning: Less Forgetting, More OOD Generalization via
  Adaptive Contrastive Replay
Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive Replay
Hossein Rezaei
Mohammad Sabokrou
CLL
26
0
0
09 Oct 2024
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online
  Continual Learning
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning
Xinrui Wang
Chuanxing Geng
Wenhai Wan
Shao-yuan Li
Songcan Chen
CLL
39
2
0
28 Sep 2024
Reducing Catastrophic Forgetting in Online Class Incremental Learning
  Using Self-Distillation
Reducing Catastrophic Forgetting in Online Class Incremental Learning Using Self-Distillation
Kotaro Nagata
Hiromu Ono
Kazuhiro Hotta
CLL
14
0
0
17 Sep 2024
From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental
  Learning for Limited Biomedical Samples via Semantic Expansion
From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental Learning for Limited Biomedical Samples via Semantic Expansion
Yifei Yao
Hanrong Zhang
47
1
0
12 Sep 2024
Dual-CBA: Improving Online Continual Learning via Dual Continual Bias
  Adaptors from a Bi-level Optimization Perspective
Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspective
Quanziang Wang
Renzhen Wang
Yichen Wu
Xixi Jia
Minghao Zhou
Deyu Meng
38
1
0
26 Aug 2024
Constructing Enhanced Mutual Information for Online Class-Incremental
  Learning
Constructing Enhanced Mutual Information for Online Class-Incremental Learning
Huan Zhang
Fan Lyu
Shenghua Fan
Yujin Zheng
Dingwen Wang
CLL
43
0
0
26 Jul 2024
ER-FSL: Experience Replay with Feature Subspace Learning for Online
  Continual Learning
ER-FSL: Experience Replay with Feature Subspace Learning for Online Continual Learning
Huiwei Lin
CLL
22
0
0
17 Jul 2024
Accelerating Heterogeneous Federated Learning with Closed-form
  Classifiers
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers
Eros Fani
Raffaello Camoriano
Barbara Caputo
Marco Ciccone
47
4
0
03 Jun 2024
Forward-Backward Knowledge Distillation for Continual Clustering
Forward-Backward Knowledge Distillation for Continual Clustering
M. Sadeghi
Zihan Wang
Narges Armanfard
CLL
37
0
0
29 May 2024
Online Analytic Exemplar-Free Continual Learning with Large Models for
  Imbalanced Autonomous Driving Task
Online Analytic Exemplar-Free Continual Learning with Large Models for Imbalanced Autonomous Driving Task
Huiping Zhuang
Di Fang
Kai Tong
Yuchen Liu
Ziqian Zeng
Xu Zhou
Cen Chen
CLL
36
1
0
28 May 2024
Overcoming Domain Drift in Online Continual Learning
Overcoming Domain Drift in Online Continual Learning
Fan Lyu
Daofeng Liu
Linglan Zhao
Zhang Zhang
Fanhua Shang
Fuyuan Hu
Wei Feng
Liang Wang
CLL
28
1
0
15 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
37
1
0
16 Apr 2024
DELTA: Decoupling Long-Tailed Online Continual Learning
DELTA: Decoupling Long-Tailed Online Continual Learning
S. Raghavan
Jiangpeng He
F. Zhu
75
2
0
06 Apr 2024
Orchestrate Latent Expertise: Advancing Online Continual Learning with
  Multi-Level Supervision and Reverse Self-Distillation
Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation
Hongwei Yan
Liyuan Wang
Kaisheng Ma
Yi Zhong
CLL
45
3
0
30 Mar 2024
Selective Attention-based Modulation for Continual Learning
Selective Attention-based Modulation for Continual Learning
Giovanni Bellitto
Federica Proietto Salanitri
M. Pennisi
Matteo Boschini
Angelo Porrello
Simone Calderara
S. Palazzo
C. Spampinato
CLL
45
1
0
29 Mar 2024
AOCIL: Exemplar-free Analytic Online Class Incremental Learning with Low
  Time and Resource Consumption
AOCIL: Exemplar-free Analytic Online Class Incremental Learning with Low Time and Resource Consumption
Huiping Zhuang
Yuchen Liu
Run He
Kai Tong
Ziqian Zeng
Cen Chen
Yi Wang
Lap-Pui Chau
CLL
35
1
0
23 Mar 2024
Confidence Self-Calibration for Multi-Label Class-Incremental Learning
Confidence Self-Calibration for Multi-Label Class-Incremental Learning
Kaile Du
Yifan Zhou
Fan Lyu
Yuyang Li
Chen Lu
Guangcan Liu
CLL
42
2
0
19 Mar 2024
FOCIL: Finetune-and-Freeze for Online Class Incremental Learning by
  Training Randomly Pruned Sparse Experts
FOCIL: Finetune-and-Freeze for Online Class Incremental Learning by Training Randomly Pruned Sparse Experts
Murat Onur Yildirim
Elif Ceren Gok Yildirim
Decebal Constantin Mocanu
Joaquin Vanschoren
CLL
44
0
0
13 Mar 2024
DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning
  and Memory Structure Preservation
DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation
Mengyi Huang
Meng Xiao
Ludi Wang
Yi Du
39
1
0
05 Mar 2024
Making Pre-trained Language Models Better Continual Few-Shot Relation
  Extractors
Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors
Shengkun Ma
Jiale Han
Yi Liang
Bo Cheng
CLL
VLM
35
6
0
24 Feb 2024
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic
  Surgery
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery
Mengya Xu
Mobarakol Islam
Long Bai
Hongliang Ren
30
5
0
08 Feb 2024
Continual Learning: Forget-free Winning Subnetworks for Video
  Representations
Continual Learning: Forget-free Winning Subnetworks for Video Representations
Haeyong Kang
Jaehong Yoon
Sung Ju Hwang
Chang D. Yoo
CLL
39
2
0
19 Dec 2023
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Everton L. Aleixo
J. Colonna
Marco Cristo
Everlandio Fernandes
CLL
52
22
0
16 Dec 2023
Read Between the Layers: Leveraging Multi-Layer Representations for
  Rehearsal-Free Continual Learning with Pre-Trained Models
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models
Kyra Ahrens
Hans Hergen Lehmann
Jae Hee Lee
Stefan Wermter
CLL
35
7
0
13 Dec 2023
Wake-Sleep Consolidated Learning
Wake-Sleep Consolidated Learning
Amelia Sorrenti
Giovanni Bellitto
Federica Proietto Salanitri
M. Pennisi
S. Palazzo
C. Spampinato
CLL
35
0
0
06 Dec 2023
Improving Plasticity in Online Continual Learning via Collaborative
  Learning
Improving Plasticity in Online Continual Learning via Collaborative Learning
Maorong Wang
Nicolas Michel
Ling Xiao
Toshihiko Yamasaki
CLL
20
6
0
01 Dec 2023
Class-Adaptive Sampling Policy for Efficient Continual Learning
Class-Adaptive Sampling Policy for Efficient Continual Learning
Hossein Rezaei
Mohammad Sabokrou
21
0
0
27 Nov 2023
KOPPA: Improving Prompt-based Continual Learning with Key-Query
  Orthogonal Projection and Prototype-based One-Versus-All
KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All
Quyen Tran
Lam C. Tran
Khoat Than
Toan M. Tran
Dinh Q. Phung
Trung Le
VLM
37
6
0
26 Nov 2023
Density Distribution-based Learning Framework for Addressing Online
  Continual Learning Challenges
Density Distribution-based Learning Framework for Addressing Online Continual Learning Challenges
Shilin Zhang
Jiahui Wang
CLL
32
0
0
22 Nov 2023
Concept Matching: Clustering-based Federated Continual Learning
Concept Matching: Clustering-based Federated Continual Learning
Xiaopeng Jiang
Marcello Restelli
FedML
34
0
0
12 Nov 2023
Online Continual Learning via Logit Adjusted Softmax
Online Continual Learning via Logit Adjusted Softmax
Zhehao Huang
Tao Li
Chenhe Yuan
Yingwen Wu
Xiaolin Huang
CLL
60
3
0
11 Nov 2023
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial
  Target Data
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
Cheng-Hao Tu
Hong-You Chen
Zheda Mai
Shitian Zhao
Vardaan Pahuja
Tanya Berger-Wolf
Song Gao
Charles V. Stewart
Yu-Chuan Su
Wei-Lun Chao
CLL
36
3
0
02 Nov 2023
Rethinking Class-incremental Learning in the Era of Large Pre-trained
  Models via Test-Time Adaptation
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation
Imad Eddine Marouf
Subhankar Roy
Enzo Tartaglione
Stéphane Lathuilière
CLL
29
3
0
17 Oct 2023
Class-Incremental Learning Using Generative Experience Replay Based on
  Time-aware Regularization
Class-Incremental Learning Using Generative Experience Replay Based on Time-aware Regularization
Zizhao Hu
Mohammad Rostami
CLL
BDL
28
3
0
05 Oct 2023
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object
  Tracking
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking
Zhizheng Liu
Mattia Segu
Fisher Yu
29
4
0
04 Oct 2023
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
Huiwei Lin
Shanshan Feng
Baoquan Zhang
Xutao Li
Y. Ong
CLL
42
0
0
26 Sep 2023
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant
  Forgery Clues
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues
Kun Pan
Yifang Yin
Yao Wei
Feng Lin
Zhongjie Ba
Zhenguang Liu
Zhibo Wang
Lorenzo Cavallaro
Kui Ren
CLL
49
16
0
18 Sep 2023
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