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RMM: Reinforced Memory Management for Class-Incremental Learning

RMM: Reinforced Memory Management for Class-Incremental Learning

14 January 2023
Yaoyao Liu
Bernt Schiele
Qianru Sun
    CLL
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Papers citing "RMM: Reinforced Memory Management for Class-Incremental Learning"

50 / 54 papers shown
Title
Boosting the Class-Incremental Learning in 3D Point Clouds via Zero-Collection-Cost Basic Shape Pre-Training
Boosting the Class-Incremental Learning in 3D Point Clouds via Zero-Collection-Cost Basic Shape Pre-Training
Chao Qi
Jianqin Yin
Meng Chen
Yingchun Niu
Yuan Sun
3DPC
CLL
48
0
0
11 Apr 2025
CMIP-CIL: A Cross-Modal Benchmark for Image-Point Class Incremental Learning
CMIP-CIL: A Cross-Modal Benchmark for Image-Point Class Incremental Learning
Chao Qi
Jianqin Yin
Ren Zhang
CLL
3DPC
VLM
40
0
0
11 Apr 2025
C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models
C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models
Xin Zhang
Liang Bai
Xian Yang
Jiye Liang
CLL
65
1
0
25 Feb 2025
Historical Test-time Prompt Tuning for Vision Foundation Models
Historical Test-time Prompt Tuning for Vision Foundation Models
Jingyi Zhang
Jiaxing Huang
Xiaoqin Zhang
Ling Shao
Shijian Lu
VLM
37
4
0
27 Oct 2024
Analytic Class Incremental Learning for Sound Source Localization with
  Privacy Protection
Analytic Class Incremental Learning for Sound Source Localization with Privacy Protection
Xinyuan Qian
Xianghu Yue
Jun Wang
Huiping Zhuang
Haizhou Li
24
1
0
11 Sep 2024
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in
  Federated Class Continual Learning
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning
Jinglin Liang
Jin Zhong
Hanlin Gu
Zhongqi Lu
Xingxing Tang
Gang Dai
Shuangping Huang
Lixin Fan
Qiang Yang
DiffM
47
7
0
02 Sep 2024
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental
  Learning
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning
Tom Fischer
Yaoyao Liu
Artur Jesslen
Noor Ahmed
Prakhar Kaushik
Angtian Wang
Alan Yuille
Adam Kortylewski
Eddy Ilg
CLL
AI4CE
40
1
0
12 Jul 2024
OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental
  Learning
OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning
Wenjun Miao
Guansong Pang
Trong-Tung Nguyen
Ruohang Fang
Jin Zheng
Xiao Bai
OODD
42
1
0
08 Jul 2024
Embracing Massive Medical Data
Embracing Massive Medical Data
Yu-Cheng Chou
Zongwei Zhou
Alan Yuille
CLL
OOD
35
4
0
05 Jul 2024
Dynamic Feature Learning and Matching for Class-Incremental Learning
Dynamic Feature Learning and Matching for Class-Incremental Learning
Sunyuan Qiang
Yanyan Liang
Jun Wan
Du Zhang
CLL
38
3
0
14 May 2024
Learning to Classify New Foods Incrementally Via Compressed Exemplars
Learning to Classify New Foods Incrementally Via Compressed Exemplars
Justin Yang
Zhihao Duan
Jiangpeng He
F. Zhu
CLL
80
1
0
11 Apr 2024
Branch-Tuning: Balancing Stability and Plasticity for Continual
  Self-Supervised Learning
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning
Wenzhuo Liu
Fei Zhu
Cheng-Lin Liu
CLL
43
2
0
27 Mar 2024
Controllable Relation Disentanglement for Few-Shot Class-Incremental
  Learning
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning
Yuanen Zhou
Richang Hong
Yanrong Guo
Lin Liu
Shijie Hao
Hanwang Zhang
26
0
0
17 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
Probing Image Compression For Class-Incremental Learning
Probing Image Compression For Class-Incremental Learning
Justin Yang
Zhihao Duan
Andrew Peng
Yuning Huang
Jiangpeng He
F. Zhu
73
1
0
10 Mar 2024
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
62
22
0
16 Dec 2023
Few-Shot Class-Incremental Learning via Training-Free Prototype
  Calibration
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration
Qiwen Wang
Da-Wei Zhou
Yi-Kai Zhang
De-Chuan Zhan
Han-Jia Ye
CLL
57
43
0
08 Dec 2023
Prompt-Based Exemplar Super-Compression and Regeneration for
  Class-Incremental Learning
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning
Ruxiao Duan
Yaoyao Liu
Jieneng Chen
Adam Kortylewski
Alan Yuille
DiffM
VLM
38
1
0
30 Nov 2023
Wakening Past Concepts without Past Data: Class-Incremental Learning
  from Online Placebos
Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos
Yaoyao Liu
Yingying Li
Bernt Schiele
Qianru Sun
CLL
OnRL
29
7
0
24 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
Yew-Soon Ong
CLL
45
0
0
26 Sep 2023
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
Hai-Long Sun
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
110
27
0
13 Sep 2023
UER: A Heuristic Bias Addressing Approach for Online Continual Learning
UER: A Heuristic Bias Addressing Approach for Online Continual Learning
Huiwei Lin
Shanshan Feng
Baoquan Zhang
Hongliang Qiao
Xutao Li
Yunming Ye
CLL
40
4
0
08 Sep 2023
OEBench: Investigating Open Environment Challenges in Real-World
  Relational Data Streams
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams
Yiqun Diao
Yutong Yang
Yue Liu
Bin He
Mian Lu
24
1
0
29 Aug 2023
Continual Learning with Dynamic Sparse Training: Exploring Algorithms
  for Effective Model Updates
Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates
Murat Onur Yildirim
Elif Ceren Gok Yildirim
Ghada Sokar
Decebal Constantin Mocanu
Joaquin Vanschoren
CLL
30
7
0
28 Aug 2023
Black-box Unsupervised Domain Adaptation with Bi-directional
  Atkinson-Shiffrin Memory
Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory
Jingyi Zhang
Jiaxing Huang
Xue-Qiu Jiang
Shijian Lu
35
15
0
25 Aug 2023
OpenGCD: Assisting Open World Recognition with Generalized Category
  Discovery
OpenGCD: Assisting Open World Recognition with Generalized Category Discovery
Fulin Gao
Weimin Zhong
Zhixing Cao
Xin Peng
Zhi Li
8
1
0
14 Aug 2023
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Jiahua Dong
Wenqi Liang
Yang Cong
Gan Sun
CLL
26
19
0
07 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental
  Learning and Its Variants
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
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual
  Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELM
MU
34
49
0
16 Jul 2023
Shared Growth of Graph Neural Networks via Prompted Free-direction
  Knowledge Distillation
Shared Growth of Graph Neural Networks via Prompted Free-direction Knowledge Distillation
Kaituo Feng
Yikun Miao
Changsheng Li
Ye Yuan
Guoren Wang
32
0
0
02 Jul 2023
Continual Learning for Abdominal Multi-Organ and Tumor Segmentation
Continual Learning for Abdominal Multi-Organ and Tumor Segmentation
Yixiao Zhang
Xinyi Li
Huimiao Chen
Alan Yuille
Yaoyao Liu
Zongwei Zhou
CLL
27
33
0
01 Jun 2023
Learning without Forgetting for Vision-Language Models
Learning without Forgetting for Vision-Language Models
Da-Wei Zhou
Yuanhan Zhang
Jingyi Ning
Jingyi Ning
De-Chuan Zhan
De-Chuan Zhan
Ziwei Liu
VLM
CLL
74
37
0
30 May 2023
Advancing Incremental Few-shot Semantic Segmentation via Semantic-guided
  Relation Alignment and Adaptation
Advancing Incremental Few-shot Semantic Segmentation via Semantic-guided Relation Alignment and Adaptation
Yuanen Zhou
Xin Chen
Yanrong Guo
Shijie Hao
Richang Hong
Qi Tian
CLL
30
4
0
18 May 2023
SRIL: Selective Regularization for Class-Incremental Learning
SRIL: Selective Regularization for Class-Incremental Learning
Jisu Han
Jaemin Na
Wonjun Hwang
CLL
17
0
0
09 May 2023
Preserving Locality in Vision Transformers for Class Incremental
  Learning
Preserving Locality in Vision Transformers for Class Incremental Learning
Bowen Zheng
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
27
5
0
14 Apr 2023
Continual Semantic Segmentation with Automatic Memory Sample Selection
Continual Semantic Segmentation with Automatic Memory Sample Selection
Lanyun Zhu
Tianrun Chen
Jianxiong Yin
Simon See
Jun Liu
CLL
VLM
19
44
0
11 Apr 2023
PCR: Proxy-based Contrastive Replay for Online Class-Incremental
  Continual Learning
PCR: Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning
Huiwei Lin
Baoquan Zhang
Shanshan Feng
Xutao Li
Yunming Ye
CLL
29
54
0
10 Apr 2023
Continual Detection Transformer for Incremental Object Detection
Continual Detection Transformer for Incremental Object Detection
Yaoyao Liu
Bernt Schiele
Andrea Vedaldi
Christian Rupprecht
CLL
18
52
0
06 Apr 2023
Class-Incremental Exemplar Compression for Class-Incremental Learning
Class-Incremental Exemplar Compression for Class-Incremental Learning
Zilin Luo
Yaoyao Liu
Bernt Schiele
Qianru Sun
VLM
CLL
91
44
0
24 Mar 2023
Computationally Budgeted Continual Learning: What Does Matter?
Computationally Budgeted Continual Learning: What Does Matter?
Ameya Prabhu
Hasan Hammoud
P. Dokania
Philip Torr
Ser-Nam Lim
Guohao Li
Adel Bibi
CLL
36
62
0
20 Mar 2023
Revisiting Class-Incremental Learning with Pre-Trained Models:
  Generalizability and Adaptivity are All You Need
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
Ziwei Liu
CLL
33
100
0
13 Mar 2023
TARGET: Federated Class-Continual Learning via Exemplar-Free
  Distillation
TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation
Jie M. Zhang
Chen Chen
Weiming Zhuang
Lingjuan Lv
CLL
FedML
33
45
0
13 Mar 2023
Continual Segment: Towards a Single, Unified and Accessible Continual
  Segmentation Model of 143 Whole-body Organs in CT Scans
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans
Zhanghexuan Ji
Dazhou Guo
Puyang Wang
Ke Yan
Le Lu
...
Qifeng Wang
J. Ge
Mingchen Gao
X. Ye
D. Jin
OOD
24
19
0
01 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELM
CLL
46
606
0
31 Jan 2023
Online Hyperparameter Optimization for Class-Incremental Learning
Online Hyperparameter Optimization for Class-Incremental Learning
Yaoyao Liu
Yingying Li
Bernt Schiele
Qianru Sun
CLL
29
31
0
11 Jan 2023
Learn the Time to Learn: Replay Scheduling in Continual Learning
Learn the Time to Learn: Replay Scheduling in Continual Learning
Marcus Klasson
Hedvig Kjellström
Chen Zhang
CLL
30
9
0
18 Sep 2022
Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric
  Framework for Exemplar-free Class-Incremental Learning
Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning
Chunwei Ma
Zhanghexuan Ji
Ziyun Huang
Yan Shen
Mingchen Gao
Jinhui Xu
30
1
0
28 Jul 2022
FreeKD: Free-direction Knowledge Distillation for Graph Neural Networks
FreeKD: Free-direction Knowledge Distillation for Graph Neural Networks
Kaituo Feng
Changsheng Li
Ye Yuan
Guoren Wang
33
32
0
14 Jun 2022
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and
  Privacy Protection
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection
Huiping Zhuang
Zhenyu Weng
Hongxin Wei
Renchunzi Xie
Kar-Ann Toh
Zhiping Lin
CLL
30
35
0
30 May 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental
  Learning
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
Da-Wei Zhou
Qiwen Wang
Han-Jia Ye
De-Chuan Zhan
29
123
0
26 May 2022
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