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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 H. S. Torr
    CLL
ArXivPDFHTML

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

50 / 192 papers shown
Title
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
16
3
0
17 Oct 2023
Plasticity-Optimized Complementary Networks for Unsupervised Continual
  Learning
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
Alex Gomez-Villa
Bartlomiej Twardowski
Kai Wang
Joost van de Weijer
SSL
CLL
28
8
0
12 Sep 2023
Online Continual Learning on Hierarchical Label Expansion
Online Continual Learning on Hierarchical Label Expansion
Byung Hyun Lee
Ok-Cheol Jung
Jonghyun Choi
S. Chun
CLL
17
8
0
28 Aug 2023
Category Adaptation Meets Projected Distillation in Generalized
  Continual Category Discovery
Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery
Grzegorz Rype'sć
Daniel Marczak
Sebastian Cygert
Tomasz Trzciñski
Bartlomiej Twardowski
VLM
CLL
28
2
0
23 Aug 2023
Maintaining Plasticity in Continual Learning via Regenerative
  Regularization
Maintaining Plasticity in Continual Learning via Regenerative Regularization
Saurabh Kumar
Henrik Marklund
Benjamin Van Roy
CLL
KELM
28
16
0
23 Aug 2023
On the Effectiveness of LayerNorm Tuning for Continual Learning in
  Vision Transformers
On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers
Thomas De Min
Massimiliano Mancini
Alahari Karteek
Xavier Alameda-Pineda
Elisa Ricci
CLL
21
9
0
18 Aug 2023
Cost-effective On-device Continual Learning over Memory Hierarchy with
  Miro
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro
Xinyue Ma
Suyeon Jeong
Minjia Zhang
Di Wang
Jonghyun Choi
Myeongjae Jeon
CLL
16
13
0
11 Aug 2023
Online Prototype Learning for Online Continual Learning
Online Prototype Learning for Online Continual Learning
Yujie Wei
Jiaxin Ye
Zhizhong Huang
Junping Zhang
Hongming Shan
CLL
OnRL
30
39
0
01 Aug 2023
Lookbehind-SAM: k steps back, 1 step forward
Lookbehind-SAM: k steps back, 1 step forward
Gonçalo Mordido
Pranshu Malviya
A. Baratin
Sarath Chandar
AAML
42
1
0
31 Jul 2023
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space
Kaushik Roy
Peyman Moghadam
Mehrtash Harandi
22
6
0
31 Jul 2023
Evolving Knowledge Mining for Class Incremental Segmentation
Evolving Knowledge Mining for Class Incremental Segmentation
Zhihe Lu
Shuicheng Yan
Xinchao Wang
CLL
36
0
0
03 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
71
37
0
30 May 2023
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired
  Continual Learning
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired Continual Learning
Mustafa Burak Gurbuz
J. M. Moorman
Constantinos Dovrolis
CLL
18
0
0
29 May 2023
HyperTime: Hyperparameter Optimization for Combating Temporal
  Distribution Shifts
HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts
Shaokun Zhang
Yiran Wu
Zhonghua Zheng
Qingyun Wu
Chi Wang
OOD
43
7
0
28 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
24
5
0
22 May 2023
SRIL: Selective Regularization for Class-Incremental Learning
SRIL: Selective Regularization for Class-Incremental Learning
Jisu Han
Jaemin Na
Wonjun Hwang
CLL
10
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
19
5
0
14 Apr 2023
Few-shot Class-incremental Learning for Cross-domain Disease
  Classification
Few-shot Class-incremental Learning for Cross-domain Disease Classification
Han Yang
Weijian Huang
Jiarun Liu
Cheng Li
Shanshan Wang
CLL
29
4
0
12 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
J. Liu
CLL
VLM
11
44
0
11 Apr 2023
Online Distillation with Continual Learning for Cyclic Domain Shifts
Online Distillation with Continual Learning for Cyclic Domain Shifts
Joachim Houyon
A. Cioppa
Yasir Ghunaim
Motasem Alfarra
Anaïs Halin
Maxim Henry
Bernard Ghanem
Marc Van Droogenbroeck
CLL
27
8
0
03 Apr 2023
Towards Open Temporal Graph Neural Networks
Towards Open Temporal Graph Neural Networks
Kaituo Feng
Changsheng Li
Xiaolu Zhang
Jun Zhou
AI4CE
22
15
0
27 Mar 2023
Fixed Design Analysis of Regularization-Based Continual Learning
Fixed Design Analysis of Regularization-Based Continual Learning
Haoran Li
Jingfeng Wu
Vladimir Braverman
CLL
26
9
0
17 Mar 2023
Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks
  in Continual Learning
Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning
Sang-Ho Kim
Lorenzo Noci
Antonio Orvieto
Thomas Hofmann
CLL
22
34
0
16 Mar 2023
ICICLE: Interpretable Class Incremental Continual Learning
ICICLE: Interpretable Class Incremental Continual Learning
Dawid Rymarczyk
Joost van de Weijer
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
26
28
0
14 Mar 2023
Online Continual Learning via the Knowledge Invariant and Spread-out
  Properties
Online Continual Learning via the Knowledge Invariant and Spread-out Properties
Ya-nan Han
Jian-wei Liu
CLL
30
7
0
02 Feb 2023
Streaming LifeLong Learning With Any-Time Inference
Streaming LifeLong Learning With Any-Time Inference
S. Banerjee
Vinay K. Verma
Vinay P. Namboodiri
CLL
22
3
0
27 Jan 2023
Learning to Unlearn: Instance-wise Unlearning for Pre-trained
  Classifiers
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers
Sungmin Cha
Sungjun Cho
Dasol Hwang
Honglak Lee
Taesup Moon
Moontae Lee
MU
34
35
0
27 Jan 2023
Towards Continual Egocentric Activity Recognition: A Multi-modal
  Egocentric Activity Dataset for Continual Learning
Towards Continual Egocentric Activity Recognition: A Multi-modal Egocentric Activity Dataset for Continual Learning
Linfeng Xu
Qingbo Wu
Lili Pan
Fanman Meng
Hongliang Li
Chiyuan He
Hanxin Wang
Shaoxu Cheng
Yunshu Dai
EgoV
HAI
25
23
0
26 Jan 2023
A soft nearest-neighbor framework for continual semi-supervised learning
A soft nearest-neighbor framework for continual semi-supervised learning
Zhiqi Kang
Enrico Fini
Moin Nabi
Elisa Ricci
Alahari Karteek
SSL
BDL
CLL
14
17
0
09 Dec 2022
Progressive Learning without Forgetting
Progressive Learning without Forgetting
Tao Feng
Hangjie Yuan
Mang Wang
Ziyuan Huang
Ang Bian
Jianzhou Zhang
CLL
KELM
42
4
0
28 Nov 2022
Multi-Label Continual Learning using Augmented Graph Convolutional
  Network
Multi-Label Continual Learning using Augmented Graph Convolutional Network
Kaile Du
Fan Lyu
Linyan Li
Fuyuan Hu
Wei Feng
Fenglei Xu
Xuefeng Xi
Hanjing Cheng
CLL
25
13
0
27 Nov 2022
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for
  Graph Continual Learning
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning
Jihoon Ko
Shinhwan Kang
Taehyung Kwon
Heechan Moon
Kijung Shin
CLL
28
7
0
26 Nov 2022
Cooperative data-driven modeling
Cooperative data-driven modeling
Aleksandr Dekhovich
O. T. Turan
Jiaxiang Yi
Miguel A. Bessa
CLL
KELM
AI4CE
19
5
0
23 Nov 2022
Continual Learning of Natural Language Processing Tasks: A Survey
Continual Learning of Natural Language Processing Tasks: A Survey
Zixuan Ke
Bin Liu
KELM
CLL
VLM
19
68
0
23 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning
Hierarchically Structured Task-Agnostic Continual Learning
Heinke Hihn
Daniel A. Braun
BDL
CLL
19
8
0
14 Nov 2022
Cold Start Streaming Learning for Deep Networks
Cold Start Streaming Learning for Deep Networks
Cameron R. Wolfe
Anastasios Kyrillidis
CLL
15
2
0
09 Nov 2022
Do Pre-trained Models Benefit Equally in Continual Learning?
Do Pre-trained Models Benefit Equally in Continual Learning?
Kuan-Ying Lee
Yuanyi Zhong
Yu-xiong Wang
CLL
24
27
0
27 Oct 2022
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental
  Semantic Segmentation
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation
Youngmin Oh
Donghyeon Baek
Bumsub Ham
CLL
16
25
0
13 Oct 2022
Multiple Modes for Continual Learning
Multiple Modes for Continual Learning
Siddhartha Datta
N. Shadbolt
CLL
MoMe
41
2
0
29 Sep 2022
Towards Regression-Free Neural Networks for Diverse Compute Platforms
Towards Regression-Free Neural Networks for Diverse Compute Platforms
Rahul Duggal
Hao Zhou
Shuo Yang
Jun Fang
Yuanjun Xiong
Wei Xia
UQCV
31
1
0
27 Sep 2022
Improving Replay-Based Continual Semantic Segmentation with Smart Data
  Selection
Improving Replay-Based Continual Semantic Segmentation with Smart Data Selection
Tobias Kalb
Björn Mauthe
Jürgen Beyerer
CLL
21
10
0
20 Sep 2022
Selecting Related Knowledge via Efficient Channel Attention for Online
  Continual Learning
Selecting Related Knowledge via Efficient Channel Attention for Online Continual Learning
Ya-nan Han
Jian-wei Liu
CLL
15
0
0
09 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives
The Neural Process Family: Survey, Applications and Perspectives
Saurav Jha
Dong Gong
Xuesong Wang
Richard E. Turner
L. Yao
BDL
73
24
0
01 Sep 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
36
113
0
24 Aug 2022
On the Limitations of Continual Learning for Malware Classification
On the Limitations of Continual Learning for Malware Classification
Mohammad Saidur Rahman
Scott E. Coull
M. Wright
26
13
0
13 Aug 2022
Continual Prune-and-Select: Class-incremental learning with specialized
  subnetworks
Continual Prune-and-Select: Class-incremental learning with specialized subnetworks
Aleksandr Dekhovich
David Tax
M. Sluiter
Miguel A. Bessa
CLL
21
19
0
09 Aug 2022
A Multi-label Continual Learning Framework to Scale Deep Learning
  Approaches for Packaging Equipment Monitoring
A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring
Davide Dalle Pezze
Denis Deronjic
Chiara Masiero
Diego Tosato
A. Beghi
Gian Antonio Susto
CLL
19
9
0
08 Aug 2022
Task-agnostic Continual Hippocampus Segmentation for Smooth Population
  Shifts
Task-agnostic Continual Hippocampus Segmentation for Smooth Population Shifts
Camila González
Amin Ranem
Ahmed Othman
Anirban Mukhopadhyay
OOD
13
7
0
05 Aug 2022
Incremental Task Learning with Incremental Rank Updates
Incremental Task Learning with Incremental Rank Updates
Rakib Hyder
Ken Shao
Boyu Hou
P. Markopoulos
Ashley Prater-Bennette
M. Salman Asif
CLL
10
13
0
19 Jul 2022
Class-incremental Novel Class Discovery
Class-incremental Novel Class Discovery
Subhankar Roy
Mingxuan Liu
Zhun Zhong
N. Sebe
Elisa Ricci
CLL
28
43
0
18 Jul 2022
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