ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1607.00122
  4. Cited By
Less-forgetting Learning in Deep Neural Networks

Less-forgetting Learning in Deep Neural Networks

1 July 2016
Heechul Jung
Jeongwoo Ju
Minju Jung
Junmo Kim
ArXivPDFHTML

Papers citing "Less-forgetting Learning in Deep Neural Networks"

50 / 140 papers shown
Title
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
55
0
0
09 May 2025
Continual Learning With Quasi-Newton Methods
Continual Learning With Quasi-Newton Methods
Steven Vander Eeckt
Hugo Van hamme
CLL
BDL
69
0
0
25 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
47
0
0
13 Mar 2025
A margin-based replacement for cross-entropy loss
A margin-based replacement for cross-entropy loss
Michael W. Spratling
Heiko H. Schütt
75
0
0
21 Jan 2025
A Contrastive Symmetric Forward-Forward Algorithm (SFFA) for Continual Learning Tasks
A Contrastive Symmetric Forward-Forward Algorithm (SFFA) for Continual Learning Tasks
Erik B. Terres-Escudero
Javier Del Ser
Pablo García Bringas
AAML
CLL
53
0
0
10 Jan 2025
Differentiable Prompt Learning for Vision Language Models
Zhenhan Huang
Tejaswini Pedapati
Pin-Yu Chen
Jianxi Gao
VLM
30
0
0
03 Jan 2025
Modality-Incremental Learning with Disjoint Relevance Mapping Networks
  for Image-based Semantic Segmentation
Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation
Niharika Hegde
Shishir Muralidhara
René Schuster
Didier Stricker
CLL
91
1
0
26 Nov 2024
Revised Regularization for Efficient Continual Learning through
  Correlation-Based Parameter Update in Bayesian Neural Networks
Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks
Sanchar Palit
Biplab Banerjee
S. Chaudhuri
CLL
83
0
0
21 Nov 2024
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering
Deepayan Das
Davide Talon
Massimiliano Mancini
Yiming Wang
Elisa Ricci
55
0
0
04 Nov 2024
Continual Human Pose Estimation for Incremental Integration of Keypoints
  and Pose Variations
Continual Human Pose Estimation for Incremental Integration of Keypoints and Pose Variations
Muhammad Saif Ullah Khan
Muhammad Ahmed Ullah Khan
Muhammad Zeshan Afzal
Didier Stricker
CLL
35
1
0
30 Sep 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
29
1
0
11 Sep 2024
Background Adaptation with Residual Modeling for Exemplar-Free
  Class-Incremental Semantic Segmentation
Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation
Anqi Zhang
Guangyu Gao
CLL
VLM
58
4
0
13 Jul 2024
CCSI: Continual Class-Specific Impression for Data-free Class
  Incremental Learning
CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning
Sana Ayromlou
Teresa S. M. Tsang
Purang Abolmaesumi
Xiaoxiao Li
CLL
38
2
0
09 Jun 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
41
1
0
28 May 2024
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental
  Deep Neural Networks
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks
Ashutosh Kumar
Sonali Agarwal
D. J. Hemanth
48
0
0
11 May 2024
Brain-Inspired Continual Learning-Robust Feature Distillation and
  Re-Consolidation for Class Incremental Learning
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
Hikmat Khan
N. Bouaynaya
Ghulam Rasool
CLL
43
1
0
22 Apr 2024
Defense without Forgetting: Continual Adversarial Defense with
  Anisotropic & Isotropic Pseudo Replay
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay
Yuhang Zhou
Zhongyun Hua
AAML
CLL
43
3
0
02 Apr 2024
DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free
  Class-Incremental Learning
DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning
Huiping Zhuang
Run He
Kai Tong
Ziqian Zeng
Cen Chen
Zhiping Lin
CLL
19
18
0
26 Mar 2024
G-ACIL: Analytic Learning for Exemplar-Free Generalized Class
  Incremental Learning
G-ACIL: Analytic Learning for Exemplar-Free Generalized Class Incremental Learning
Huiping Zhuang
Yizhu Chen
Di Fang
Run He
Kai Tong
Hongxin Wei
Ziqian Zeng
Cen Chen
CLL
47
6
0
23 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
45
1
0
20 Mar 2024
VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object
  Detection via Vision-Language Model
VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object Detection via Vision-Language Model
Junsu Kim
Yunhoe Ku
Jihyeon Kim
Junuk Cha
Seungryul Baek
ObjD
VLM
39
12
0
08 Mar 2024
Adaptive Discovering and Merging for Incremental Novel Class Discovery
Adaptive Discovering and Merging for Incremental Novel Class Discovery
Guangyao Chen
Peixi Peng
Yangru Huang
Mengyue Geng
Yonghong Tian
CLL
MoMe
37
9
0
06 Mar 2024
HOP to the Next Tasks and Domains for Continual Learning in NLP
HOP to the Next Tasks and Domains for Continual Learning in NLP
Umberto Michieli
Mete Ozay
VLM
44
2
0
28 Feb 2024
Towards Robust Graph Incremental Learning on Evolving Graphs
Towards Robust Graph Incremental Learning on Evolving Graphs
Junwei Su
Difan Zou
Zijun Zhang
Chuan Wu
CLL
OOD
48
18
0
20 Feb 2024
A novel spatial-frequency domain network for zero-shot incremental
  learning
A novel spatial-frequency domain network for zero-shot incremental learning
Jie Ren
Yang Zhao
Weichuan Zhang
Changming Sun
CLL
24
1
0
11 Feb 2024
Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental
  Learning
Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning
Simone Magistri
Tomaso Trinci
Albin Soutif--Cormerais
Joost van de Weijer
Andrew D. Bagdanov
44
18
0
06 Feb 2024
Continual Learning in Medical Image Analysis: A Comprehensive Review of
  Recent Advancements and Future Prospects
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
Pratibha Kumari
Joohi Chauhan
Afshin Bozorgpour
Boqiang Huang
Reza Azad
Dorit Merhof
60
11
0
28 Dec 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory
  and Algorithm
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
Haizhou Shi
Hao Wang
CLL
39
19
0
18 Oct 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
34
3
0
17 Oct 2023
Continual Learning via Manifold Expansion Replay
Continual Learning via Manifold Expansion Replay
Zihao Xu
Xuan Tang
Yufei Shi
Jianfeng Zhang
Jian Yang
Mingsong Chen
Xian Wei
KELM
CLL
19
4
0
12 Oct 2023
CoinSeg: Contrast Inter- and Intra- Class Representations for
  Incremental Segmentation
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation
Zekang Zhang
Guangyu Gao
Jianbo Jiao
C. Liu
Yunchao Wei
48
21
0
10 Oct 2023
Fine-tuning can cripple your foundation model; preserving features may
  be the solution
Fine-tuning can cripple your foundation model; preserving features may be the solution
Jishnu Mukhoti
Y. Gal
Philip Torr
P. Dokania
CLL
45
32
0
25 Aug 2023
DiffusePast: Diffusion-based Generative Replay for Class Incremental
  Semantic Segmentation
DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation
Jingfan Chen
Yuxi Wang
Peng Wang
Xiao Chen
Zhaoxiang Zhang
Zhen Lei
Qing Li
DiffM
33
5
0
02 Aug 2023
CLR: Channel-wise Lightweight Reprogramming for Continual Learning
CLR: Channel-wise Lightweight Reprogramming for Continual Learning
Yunhao Ge
Yuecheng Li
Shuo Ni
Jiaping Zhao
Ming-Hsuan Yang
Laurent Itti
CLL
50
11
0
21 Jul 2023
Long-Tailed Continual Learning For Visual Food Recognition
Long-Tailed Continual Learning For Visual Food Recognition
Jiangpeng He
Luotao Lin
Jack Ma
H. Eicher-Miller
F. Zhu
Fengqing M Zhu
64
14
0
01 Jul 2023
The Importance of Robust Features in Mitigating Catastrophic Forgetting
The Importance of Robust Features in Mitigating Catastrophic Forgetting
Hikmat Khan
N. Bouaynaya
Ghulam Rasool
40
7
0
29 Jun 2023
IF2Net: Innately Forgetting-Free Networks for Continual Learning
IF2Net: Innately Forgetting-Free Networks for Continual Learning
Depeng Li
Tianqi Wang
Bingrong Xu
Kenji Kawaguchi
Zhigang Zeng
Ponnuthurai Nagaratnam Suganthan
CLL
216
2
0
18 Jun 2023
Heterogeneous Continual Learning
Heterogeneous Continual Learning
Divyam Madaan
Hongxu Yin
Wonmin Byeon
Jan Kautz
Pavlo Molchanov
CLL
39
5
0
14 Jun 2023
Sit Back and Relax: Learning to Drive Incrementally in All Weather
  Conditions
Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions
Stefan Leitner
M. Jehanzeb Mirza
Wei Lin
Jakub Micorek
Marc Masana
Mateusz Koziñski
Horst Possegger
Horst Bischof
CLL
50
2
0
30 May 2023
Batch Model Consolidation: A Multi-Task Model Consolidation Framework
Batch Model Consolidation: A Multi-Task Model Consolidation Framework
Iordanis Fostiropoulos
Jiaye Zhu
Laurent Itti
MoMe
CLL
32
3
0
25 May 2023
Preserving Linear Separability in Continual Learning by Backward Feature
  Projection
Preserving Linear Separability in Continual Learning by Backward Feature Projection
Qiao Gu
Dongsub Shim
Florian Shkurti
CLL
KELM
26
10
0
26 Mar 2023
Adiabatic replay for continual learning
Adiabatic replay for continual learning
Alexander Krawczyk
A. Gepperth
45
3
0
23 Mar 2023
Confidence Attention and Generalization Enhanced Distillation for
  Continuous Video Domain Adaptation
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation
Xiyu Wang
Yuecong Xu
Jianfei Yang
Xiaoli Li
Zhenghua Chen
TTA
34
0
0
18 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
40
35
0
16 Mar 2023
On the Limitation and Experience Replay for GNNs in Continual Learning
On the Limitation and Experience Replay for GNNs in Continual Learning
Junwei Su
Difan Zou
Chuan Wu
CLL
32
4
0
07 Feb 2023
Continual Learning for Predictive Maintenance: Overview and Challenges
Continual Learning for Predictive Maintenance: Overview and Challenges
J. Hurtado
Dario Salvati
Rudy Semola
Mattia Bosio
Vincenzo Lomonaco
34
32
0
29 Jan 2023
Artificial Neuronal Ensembles with Learned Context Dependent Gating
Artificial Neuronal Ensembles with Learned Context Dependent Gating
M. Tilley
Michelle Miller
David J. Freedman
35
3
0
17 Jan 2023
Integral Continual Learning Along the Tangent Vector Field of Tasks
Integral Continual Learning Along the Tangent Vector Field of Tasks
Tianlin Liu
Aditya Golatkar
Stefano Soatto
Alessandro Achille
CLL
31
3
0
23 Nov 2022
Exemplar-free Continual Learning of Vision Transformers via Gated
  Class-Attention and Cascaded Feature Drift Compensation
Exemplar-free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation
Marco Cotogni
Fei Yang
C. Cusano
Andrew D. Bagdanov
Joost van de Weijer
CLL
32
0
0
22 Nov 2022
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual
  Question Answering
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering
Yao Zhang
Haokun Chen
A. Frikha
Yezi Yang
Denis Krompass
Gengyuan Zhang
Jindong Gu
Volker Tresp
VLM
LRM
16
7
0
19 Nov 2022
123
Next