ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1812.00420
  4. Cited By
Efficient Lifelong Learning with A-GEM
v1v2 (latest)

Efficient Lifelong Learning with A-GEM

2 December 2018
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
    CLL
ArXiv (abs)PDFHTML

Papers citing "Efficient Lifelong Learning with A-GEM"

50 / 948 papers shown
Title
Forget Less, Retain More: A Lightweight Regularizer for Rehearsal-Based Continual Learning
Lama Alssum
Hasan Hammoud
Motasem Alfarra
Juan Carlos León Alcázar
Bernard Ghanem
CLLVLM
114
0
0
01 Dec 2025
Provably Safe Model Updates
Leo Elmecker-Plakolm
Pierre Fasterling
Philip Sosnin
Calvin Tsay
Matthew Wicker
AAMLKELM
94
0
0
01 Dec 2025
Neuroscience-Inspired Memory Replay for Continual Learning: A Comparative Study of Predictive Coding and Backpropagation-Based Strategies
Neuroscience-Inspired Memory Replay for Continual Learning: A Comparative Study of Predictive Coding and Backpropagation-Based Strategies
Goutham Nalagatla
Shreyas Grandhe
CLL
152
0
0
29 Nov 2025
Stable-Drift: A Patient-Aware Latent Drift Replay Method for Stabilizing Representations in Continual Learning
Stable-Drift: A Patient-Aware Latent Drift Replay Method for Stabilizing Representations in Continual Learning
P. Theofilou
Anuhya Thota
Stefanos D. Kollias
Mamatha Thota
MedIm
228
0
0
27 Nov 2025
OpenCML: End-to-End Framework of Open-world Machine Learning to Learn Unknown Classes Incrementally
OpenCML: End-to-End Framework of Open-world Machine Learning to Learn Unknown Classes Incrementally
Jitendra Parmar
Praveen Singh Thakur
CLLVLM
187
0
0
23 Nov 2025
InTAct: Interval-based Task Activation Consolidation for Continual Learning
InTAct: Interval-based Task Activation Consolidation for Continual Learning
Patryk Krukowski
Jan Miksa
Piotr Helm
Jacek Tabor
Paweł Wawrzyński
Przemysław Spurek
CLL
232
0
0
21 Nov 2025
Learning from Mistakes: Loss-Aware Memory Enhanced Continual Learning for LiDAR Place Recognition
Learning from Mistakes: Loss-Aware Memory Enhanced Continual Learning for LiDAR Place Recognition
Xufei Wang
Junqiao Zhao
Siyue Tao
Qiwen Gu
Wonbong Kim
T. Feng
CLL
193
0
0
19 Nov 2025
Hierarchical Semantic Tree Anchoring for CLIP-Based Class-Incremental Learning
Hierarchical Semantic Tree Anchoring for CLIP-Based Class-Incremental Learning
Tao Hu
Lan Li
Zhen-Hao Xie
Da-Wei Zhou
CLLVLM
196
0
0
19 Nov 2025
MergeSlide: Continual Model Merging and Task-to-Class Prompt-Aligned Inference for Lifelong Learning on Whole Slide Images
MergeSlide: Continual Model Merging and Task-to-Class Prompt-Aligned Inference for Lifelong Learning on Whole Slide Images
Doanh C. Bui
Ba-Hung Ngo
H. Pham
Khang Phuoc-Quy Nguyen
Maï K. Nguyen
Y. Nakashima
CLLMoMeVLM
258
0
0
17 Nov 2025
Dual-LoRA and Quality-Enhanced Pseudo Replay for Multimodal Continual Food Learning
Dual-LoRA and Quality-Enhanced Pseudo Replay for Multimodal Continual Food Learning
Xinlan Wu
B. Zhu
Feng Han
Pengkun Jiao
Jingjing Chen
CLL
216
0
0
17 Nov 2025
Neuro-Logic Lifelong Learning
Neuro-Logic Lifelong Learning
Bowen He
Xiaoan Xu
Alper Kamil Bozkurt
Vahid Tarokh
Juncheng Dong
CLL
158
0
0
16 Nov 2025
Continual Unlearning for Text-to-Image Diffusion Models: A Regularization Perspective
Continual Unlearning for Text-to-Image Diffusion Models: A Regularization Perspective
Justin Lee
Zheda Mai
Jinsu Yoo
Chongyu Fan
Cheng Zhang
Wei-Lun Chao
DiffMVLM
156
0
0
11 Nov 2025
Multi-Modal Continual Learning via Cross-Modality Adapters and Representation Alignment with Knowledge Preservation
Multi-Modal Continual Learning via Cross-Modality Adapters and Representation Alignment with Knowledge Preservation
Evelyn Chee
Wynne Hsu
Mong-Li Lee
CLLKELM
301
0
0
10 Nov 2025
Mixtures of SubExperts for Large Language Continual Learning
Mixtures of SubExperts for Large Language Continual Learning
Haeyong Kang
CLLKELMMoE
183
0
0
09 Nov 2025
Forgetting is Everywhere
Forgetting is Everywhere
Ben Sanati
Thomas L. Lee
Trevor A. McInroe
Aidan Scannell
Nikolay Malkin
David Abel
Amos Storkey
OODCML
336
0
0
06 Nov 2025
Efficient Online Continual Learning in Sensor-Based Human Activity Recognition
Efficient Online Continual Learning in Sensor-Based Human Activity Recognition
Yao Zhang
Souza Leite Clayton
Yu Xiao
VLM
200
0
0
04 Nov 2025
Dynamic Routing Between Experts: A Data-Efficient Approach to Continual Learning in Vision-Language Models
Dynamic Routing Between Experts: A Data-Efficient Approach to Continual Learning in Vision-Language Models
Jay Mohta
Kenan E. Ak
Dimitrios Dimitriadis
Yan Xu
Mingwei Shen
CLLVLM
246
0
0
03 Nov 2025
Knowledge-guided Continual Learning for Behavioral Analytics Systems
Knowledge-guided Continual Learning for Behavioral Analytics Systems
Yasas Senarath
Hemant Purohit
KELMCLL
159
0
0
25 Oct 2025
Benchmarking Catastrophic Forgetting Mitigation Methods in Federated Time Series Forecasting
Benchmarking Catastrophic Forgetting Mitigation Methods in Federated Time Series Forecasting
Khaled Hallak
Oudom Kem
AI4TS
92
0
0
24 Oct 2025
Beyond Reasoning Gains: Mitigating General Capabilities Forgetting in Large Reasoning Models
Beyond Reasoning Gains: Mitigating General Capabilities Forgetting in Large Reasoning Models
Hoang Phan
Xianjun Yang
Kevin Yao
Jingyu Zhang
Shengjie Bi
Xiaocheng Tang
Madian Khabsa
Lijuan Liu
Deren Lei
OffRLCLLKELMVLMLRM
114
0
0
24 Oct 2025
COLA: Continual Learning via Autoencoder Retrieval of Adapters
COLA: Continual Learning via Autoencoder Retrieval of Adapters
Jaya Krishna Mandivarapu
CLL
251
0
0
22 Oct 2025
Learning After Model Deployment
Learning After Model Deployment
Derda Kaymak
Gyuhak Kim
Tomoya Kaichi
Tatsuya Konishi
Bing-Quan Liu
92
0
0
20 Oct 2025
Continual Knowledge Consolidation LORA for Domain Incremental Learning
Continual Knowledge Consolidation LORA for Domain Incremental Learning
Naeem Paeedeh
Mahardhika Pratama
Weiping Ding
Jimmy Cao
Wolfgang Mayer
Ryszard Kowalczyk
CLLMoMe
176
0
0
17 Oct 2025
Towards Error Centric Intelligence I, Beyond Observational Learning
Towards Error Centric Intelligence I, Beyond Observational Learning
Marcus A. Thomas
CML
153
1
0
16 Oct 2025
DRL: Discriminative Representation Learning with Parallel Adapters for Class Incremental Learning
DRL: Discriminative Representation Learning with Parallel Adapters for Class Incremental Learning
Jiawei Zhan
Jun Liu
Jinlong Peng
Xiaochen Chen
Bin-Bin Gao
Yong-Jin Liu
Chengjie Wang
CLL
160
0
0
14 Oct 2025
Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference
Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference
Zichen Wang
Haoyang Hong
Chuanhao Li
Haoxuan Li
Zhiheng Zhang
Huazheng Wang
104
0
0
09 Oct 2025
How to Teach Large Multimodal Models New Skills
How to Teach Large Multimodal Models New Skills
Zhen Zhu
Yiming Gong
Yao Xiao
Yaoyao Liu
Derek Hoiem
MLLMCLLKELM
165
0
0
09 Oct 2025
The Unreasonable Effectiveness of Randomized Representations in Online Continual Graph Learning
The Unreasonable Effectiveness of Randomized Representations in Online Continual Graph Learning
Giovanni Donghi
Daniele Zambon
Luca Pasa
Cesare Alippi
Nicoló Navarin
CLLOffRL
200
0
0
08 Oct 2025
Source-Free Cross-Domain Continual Learning
Source-Free Cross-Domain Continual Learning
Muhammad Furqon
Mahardhika Pratama
Igor Skrjanc
Lin Liu
Habibullah Habibullah
K. Doğançay
CLLBDL
178
0
0
02 Oct 2025
Diagnosing Shortcut-Induced Rigidity in Continual Learning: The Einstellung Rigidity Index (ERI)
Diagnosing Shortcut-Induced Rigidity in Continual Learning: The Einstellung Rigidity Index (ERI)
Kai Gu
Weishi Shi
145
0
0
01 Oct 2025
Rehearsal-free and Task-free Online Continual Learning With Contrastive Prompt
Rehearsal-free and Task-free Online Continual Learning With Contrastive Prompt
Aopeng Wang
Ke Deng
Yongli Ren
Jun Luo
CLL
108
0
0
01 Oct 2025
Temporal Generalization: A Reality Check
Temporal Generalization: A Reality Check
Divyam Madaan
S. Chopra
Kyunghyun Cho
OODAI4TS
104
0
0
27 Sep 2025
LANCE: Low Rank Activation Compression for Efficient On-Device Continual Learning
LANCE: Low Rank Activation Compression for Efficient On-Device Continual Learning
M. Apolinario
Kaushik Roy
60
0
0
25 Sep 2025
Global Pre-fixing, Local Adjusting: A Simple yet Effective Contrastive Strategy for Continual Learning
Global Pre-fixing, Local Adjusting: A Simple yet Effective Contrastive Strategy for Continual Learning
Jia Tang
Xinrui Wang
Songcan Chen
CLL
132
0
0
18 Sep 2025
Collapse of Irrelevant Representations (CIR) Ensures Robust and Non-Disruptive LLM Unlearning
Collapse of Irrelevant Representations (CIR) Ensures Robust and Non-Disruptive LLM Unlearning
Filip Sondej
Yushi Yang
MU
322
0
0
15 Sep 2025
Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay
Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay
Pujan Thapa
Alexander Ororbia
Travis J. Desell
DRLCLL
196
0
0
28 Aug 2025
Complementary Learning System Empowers Online Continual Learning of Vehicle Motion Forecasting in Smart Cities
Complementary Learning System Empowers Online Continual Learning of Vehicle Motion Forecasting in Smart Cities
Zirui Li
Yunlong Lin
Guodong Du
X. Zhao
Cheng Gong
Chen Lv
Chao Lu
Jianwei Gong
CLL
138
0
0
27 Aug 2025
C-Flat++: Towards a More Efficient and Powerful Framework for Continual Learning
C-Flat++: Towards a More Efficient and Powerful Framework for Continual Learning
Wei Li
Hangjie Yuan
Zixiang Zhao
Yifan Zhu
Aojun Lu
Tao Feng
Yanan Sun
144
1
0
26 Aug 2025
BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding
BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding
Xuan-Bac Nguyen
Thanh-Dat Truong
Pawan Sinha
Khoa Luu
CLL
124
0
0
25 Aug 2025
CLIFF: Continual Learning for Incremental Flake Features in 2D Material Identification
CLIFF: Continual Learning for Incremental Flake Features in 2D Material Identification
Sankalp Pandey
Xuan-Bac Nguyen
Nicholas Borys
Hugh Churchill
Khoa Luu
64
0
0
24 Aug 2025
Adaptive Anomaly Detection in Evolving Network Environments
Adaptive Anomaly Detection in Evolving Network Environments
Ehssan Mousavipour
Andrey Dimanchev
Majid Ghaderi
72
0
0
20 Aug 2025
SEDEG:Sequential Enhancement of Decoder and Encoder's Generality for Class Incremental Learning with Small Memory
SEDEG:Sequential Enhancement of Decoder and Encoder's Generality for Class Incremental Learning with Small Memory
Hongyang Chen
Shaoling Pu
Lingyu Zheng
Zhongwu Sun
CLL
88
0
0
18 Aug 2025
Rethinking Safety in LLM Fine-tuning: An Optimization Perspective
Rethinking Safety in LLM Fine-tuning: An Optimization Perspective
Minseon Kim
Jin Myung Kwak
Lama Alssum
Bernard Ghanem
Juil Sock
David M. Krueger
Fazl Barez
Adel Bibi
111
2
0
17 Aug 2025
Index-Aligned Query Distillation for Transformer-based Incremental Object Detection
Index-Aligned Query Distillation for Transformer-based Incremental Object Detection
Mingxiao Ma
Shunyao Zhu
Guoliang Kang
CLL
60
0
0
15 Aug 2025
Improving Learning of New Diseases through Knowledge-Enhanced Initialization for Federated Adapter Tuning
Improving Learning of New Diseases through Knowledge-Enhanced Initialization for Federated Adapter TuningIEEE Transactions on Medical Imaging (IEEE TMI), 2025
D. Peng
Yuan Wang
Kangning Cai
Peiyan Ning
Jiming Xu
Yong Liu
Rick Siow Mong Goh
Qingsong Wei
Huazhu Fu
FedML
160
0
0
14 Aug 2025
CRAM: Large-scale Video Continual Learning with Bootstrapped Compression
CRAM: Large-scale Video Continual Learning with Bootstrapped Compression
Shivani Mall
Joao F. Henriques
CLLVLM
104
0
0
07 Aug 2025
Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning
Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning
Yue Duan
Taicai Chen
Lei Qi
Yinghuan Shi
CLL
104
0
0
07 Aug 2025
Online Continual Graph Learning
Online Continual Graph Learning
Giovanni Donghi
Luca Pasa
Daniele Zambon
Cesare Alippi
Nicoló Navarin
CLLGNN
202
0
0
05 Aug 2025
Welcome New Doctor: Continual Learning with Expert Consultation and Autoregressive Inference for Whole Slide Image Analysis
Welcome New Doctor: Continual Learning with Expert Consultation and Autoregressive Inference for Whole Slide Image Analysis
Doanh C. Bui
Jin Tae Kwak
CLLMedIm
113
0
0
04 Aug 2025
Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language Models
Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language Models
Istabrak Abbes
G. Subbaraj
Matthew D Riemer
Nizar Islah
Benjamin Thérien
Tsuguchika Tabaru
Hiroaki Kingetsu
Sarath Chandar
Irina Rish
CLL
107
1
0
03 Aug 2025
1234...171819
Next