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Riemannian Walk for Incremental Learning: Understanding Forgetting and
  Intransigence

Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence

30 January 2018
Arslan Chaudhry
P. Dokania
Thalaiyasingam Ajanthan
Philip Torr
    CLL
ArXivPDFHTML

Papers citing "Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence"

28 / 28 papers shown
Title
CL-CaGAN: Capsule differential adversarial continuous learning for cross-domain hyperspectral anomaly detection
CL-CaGAN: Capsule differential adversarial continuous learning for cross-domain hyperspectral anomaly detection
Jianing Wang
Siying Guo
Zheng Hua
Runhu Huang
Jinyu Hu
Maoguo Gong
37
9
0
17 May 2025
Prototype Augmented Hypernetworks for Continual Learning
Prototype Augmented Hypernetworks for Continual Learning
Neil De La Fuente
Maria Pilligua
Daniel Vidal
Albin Soutiff
Cecilia Curreli
Daniel Cremers
Andrey Barsky
CLL
53
1
0
12 May 2025
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Milad Khademi Nori
Il-Min Kim
Guanghui Wang
CLL
85
0
0
09 May 2025
BECAME: BayEsian Continual Learning with Adaptive Model MErging
BECAME: BayEsian Continual Learning with Adaptive Model MErging
Mei Li
Yuxiang Lu
Qinyan Dai
Suizhi Huang
Yue Ding
Hongtao Lu
CLL
MoMe
94
0
0
03 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
Haoyang Li
Yuecong Xu
Junjie Chen
Kemi Ding
3DPC
CLL
91
0
0
02 Apr 2025
Continual Learning With Quasi-Newton Methods
Continual Learning With Quasi-Newton Methods
Steven Vander Eeckt
Hugo Van hamme
CLL
BDL
88
0
0
25 Mar 2025
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning
Jiaxin Guo
Xiaoguang Zhu
Xiaoguang Zhu
Lianlong Sun
Liangyu Teng
Yang Liu
Di Li
Wei Zhou
Liang Song
CLL
VLM
83
1
0
24 Mar 2025
EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental Learning
EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental Learning
Simone Magistri
Tomaso Trinci
Albin Soutif--Cormerais
Joost van de Weijer
Andrew D. Bagdanov
73
0
0
13 Mar 2025
DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection
DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection
Chiara Cappellino
Gianluca Mancusi
Matteo Mosconi
Angelo Porrello
Simone Calderara
Rita Cucchiara
ObjD
VLM
116
0
0
12 Mar 2025
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA
Haodong Lu
Chongyang Zhao
Jason Xue
Lina Yao
Kristen Moore
Dong Gong
CLL
KELM
VLM
127
7
0
01 Dec 2024
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
Minhyuk Seo
Hyunseo Koh
Jonghyun Choi
74
1
0
19 Oct 2024
Temporal-Difference Variational Continual Learning
Temporal-Difference Variational Continual Learning
Luckeciano C. Melo
Alessandro Abate
Yarin Gal
BDL
CLL
VLM
98
0
0
10 Oct 2024
MIRACLE3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model Construction
MIRACLE3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model Construction
Hossein Resani
B. Nasihatkon
3DV
342
0
0
08 Oct 2024
Fair Class-Incremental Learning using Sample Weighting
Fair Class-Incremental Learning using Sample Weighting
Jaeyoung Park
Minsu Kim
Steven Euijong Whang
61
0
0
02 Oct 2024
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Da-Wei Zhou
Zi-Wen Cai
Han-Jia Ye
Lijun Zhang
De-Chuan Zhan
CLL
AI4CE
140
2
0
01 Oct 2024
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning
Yupeng Chen
Senmiao Wang
Zhihang Lin
Zhihang Lin
Yushun Zhang
Tian Ding
Ruoyu Sun
Ruoyu Sun
CLL
125
3
0
30 Jul 2024
Learning System Dynamics without Forgetting
Learning System Dynamics without Forgetting
Xikun Zhang
Dongjin Song
Yushan Jiang
Yixin Chen
Dacheng Tao
AI4CE
94
2
0
30 Jun 2024
Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation
Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation
Dunyuan Xu
Xi Wang
Jingyang Zhang
Pheng-Ann Heng
MedIm
CLL
128
0
0
26 Jun 2024
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness
Jaeill Kim
Wonseok Lee
Moonjung Eo
Wonjong Rhee
CLL
83
0
0
22 Mar 2024
REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning
REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning
Run He
Huiping Zhuang
Di Fang
Yizhu Chen
Kai Tong
Cen Chen
Lap-Pui Chau
Huiping Zhuang
92
1
0
20 Mar 2024
Hyperparameters in Continual Learning: A Reality Check
Hyperparameters in Continual Learning: A Reality Check
Sungmin Cha
Kyunghyun Cho
CLL
85
3
0
14 Mar 2024
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
102
41
0
30 May 2023
Continual Learning through Human-Robot Interaction: Human Perceptions of a Continual Learning Robot in Repeated Interactions
Continual Learning through Human-Robot Interaction: Human Perceptions of a Continual Learning Robot in Repeated Interactions
Ali Ayub
Zachary De Francesco
Patrick Holthaus
Chrystopher L. Nehaniv
Kerstin Dautenhahn
CLL
HAI
75
7
0
22 May 2023
Progress & Compress: A scalable framework for continual learning
Progress & Compress: A scalable framework for continual learning
Jonathan Richard Schwarz
Jelena Luketina
Wojciech M. Czarnecki
A. Grabska-Barwinska
Yee Whye Teh
Razvan Pascanu
R. Hadsell
CLL
95
877
0
16 May 2018
Learning multiple visual domains with residual adapters
Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
OOD
88
924
0
22 May 2017
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Sang-Woo Lee
Jin-Hwa Kim
Jaehyun Jun
Jung-Woo Ha
Byoung-Tak Zhang
CLL
56
674
0
24 Mar 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
265
7,410
0
02 Dec 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
241
4,357
0
29 Jun 2016
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