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Gradient Episodic Memory for Continual Learning
v1v2v3v4v5v6 (latest)

Gradient Episodic Memory for Continual Learning

26 June 2017
David Lopez-Paz
MarcÁurelio Ranzato
    VLMCLL
ArXiv (abs)PDFHTML

Papers citing "Gradient Episodic Memory for Continual Learning"

50 / 1,594 papers shown
Title
What Will My Model Forget? Forecasting Forgotten Examples in Language
  Model Refinement
What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement
Xisen Jin
Xiang Ren
KELMCLL
93
7
0
02 Feb 2024
Continual Learning for Large Language Models: A Survey
Continual Learning for Large Language Models: A Survey
Tongtong Wu
Linhao Luo
Yuan-Fang Li
Shirui Pan
Thuy-Trang Vu
Gholamreza Haffari
CLLLRMKELM
133
125
0
02 Feb 2024
Class incremental learning with probability dampening and cascaded gated
  classifier
Class incremental learning with probability dampening and cascaded gated classifier
Jary Pomponi
Alessio Devoto
Simone Scardapane
CLL
63
0
0
02 Feb 2024
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based
  Action Recognition
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition
Wei Wei
Tom De Schepper
Kevin Mets
105
2
0
31 Jan 2024
Continuous Unsupervised Domain Adaptation Using Stabilized
  Representations and Experience Replay
Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replay
Mohammad Rostami
CLL
117
2
0
31 Jan 2024
Augmenting Replay in World Models for Continual Reinforcement Learning
Augmenting Replay in World Models for Continual Reinforcement Learning
Luke Yang
L. Kuhlmann
Gideon Kowadlo
VLMKELMCLLOffRL
148
0
0
30 Jan 2024
Sample Weight Estimation Using Meta-Updates for Online Continual
  Learning
Sample Weight Estimation Using Meta-Updates for Online Continual Learning
Hamed Hemati
Damian Borth
83
0
0
29 Jan 2024
Dynamic Transformer Architecture for Continual Learning of Multimodal
  Tasks
Dynamic Transformer Architecture for Continual Learning of Multimodal Tasks
Yuliang Cai
Mohammad Rostami
74
4
0
27 Jan 2024
Topology-aware Embedding Memory for Continual Learning on Expanding
  Networks
Topology-aware Embedding Memory for Continual Learning on Expanding Networks
Xikun Zhang
Dongjin Song
Yixin Chen
Dacheng Tao
86
5
0
24 Jan 2024
Locality Sensitive Sparse Encoding for Learning World Models Online
Locality Sensitive Sparse Encoding for Learning World Models Online
Zi-Yan Liu
Chao Du
Wee Sun Lee
Min Lin
KELMCLLOffRL
92
11
0
23 Jan 2024
DeepCERES: A Deep learning method for cerebellar lobule segmentation
  using ultra-high resolution multimodal MRI
DeepCERES: A Deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI
Sergio Morell-Ortega
Marina Ruiz-Perez
Marien Gadea
Roberto Vivó Hernando
Gregorio Rubio
F. Aparici-Robles
M. Iglesia-Vayá
G. Catheline
Pierrick Coupé
J. V. Manjón
26
5
0
22 Jan 2024
INCPrompt: Task-Aware incremental Prompting for Rehearsal-Free
  Class-incremental Learning
INCPrompt: Task-Aware incremental Prompting for Rehearsal-Free Class-incremental Learning
Zhiyuan Wang
Xiaoyang Qu
Jing Xiao
Bokui Chen
Jianzong Wang
CLL
105
2
0
22 Jan 2024
P2DT: Mitigating Forgetting in task-incremental Learning with
  progressive prompt Decision Transformer
P2DT: Mitigating Forgetting in task-incremental Learning with progressive prompt Decision Transformer
Zhiyuan Wang
Xiaoyang Qu
Jing Xiao
Bokui Chen
Jianzong Wang
CLLOffRL
38
1
0
22 Jan 2024
Beyond Anti-Forgetting: Multimodal Continual Instruction Tuning with
  Positive Forward Transfer
Beyond Anti-Forgetting: Multimodal Continual Instruction Tuning with Positive Forward Transfer
Junhao Zheng
Qianli Ma
Zhen Liu
Binquan Wu
Hu Feng
CLL
125
18
0
17 Jan 2024
CEL: A Continual Learning Model for Disease Outbreak Prediction by
  Leveraging Domain Adaptation via Elastic Weight Consolidation
CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight Consolidation
Saba Aslam
Abdur Rasool
Hongyan Wu
Xiaoli Li
58
5
0
17 Jan 2024
Memory, Space, and Planning: Multiscale Predictive Representations
Memory, Space, and Planning: Multiscale Predictive Representations
Ida Momennejad
61
3
0
16 Jan 2024
Solving Continual Offline Reinforcement Learning with Decision
  Transformer
Solving Continual Offline Reinforcement Learning with Decision Transformer
Kaixin Huang
Li Shen
Chen Zhao
Chun Yuan
Dacheng Tao
CLLOffRL
84
5
0
16 Jan 2024
SAPT: A Shared Attention Framework for Parameter-Efficient Continual
  Learning of Large Language Models
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models
Weixiang Zhao
Shilong Wang
Yulin Hu
Yanyan Zhao
Bing Qin
Xuanyu Zhang
Qing Yang
Dongliang Xu
Wanxiang Che
KELMCLL
106
16
0
16 Jan 2024
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models
Mingli Zhu
Zihao Zhu
Sihong Chen
Chen Chen
Baoyuan Wu
CLL
81
3
0
14 Jan 2024
Scissorhands: Scrub Data Influence via Connection Sensitivity in
  Networks
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks
Jing Wu
Mehrtash Harandi
105
17
0
11 Jan 2024
Scaling Laws for Forgetting When Fine-Tuning Large Language Models
Scaling Laws for Forgetting When Fine-Tuning Large Language Models
Damjan Kalajdzievski
CLL
91
12
0
11 Jan 2024
Class-Incremental Learning for Multi-Label Audio Classification
Class-Incremental Learning for Multi-Label Audio Classification
Manjunath Mulimani
A. Mesaros
CLL
73
12
0
09 Jan 2024
LLaMA Pro: Progressive LLaMA with Block Expansion
LLaMA Pro: Progressive LLaMA with Block Expansion
Chengyue Wu
Yukang Gan
Yixiao Ge
Zeyu Lu
Jiahao Wang
Ye Feng
Ying Shan
Ping Luo
CLL
88
72
0
04 Jan 2024
eCIL-MU: Embedding based Class Incremental Learning and Machine
  Unlearning
eCIL-MU: Embedding based Class Incremental Learning and Machine Unlearning
Zhiwei Zuo
Zhuo Tang
Bin Wang
KenLi Li
Anwitaman Datta
CLLMU
56
3
0
04 Jan 2024
Elastic Multi-Gradient Descent for Parallel Continual Learning
Elastic Multi-Gradient Descent for Parallel Continual Learning
Fan Lyu
Wei Feng
Yuepan Li
Qing Sun
Fanhua Shang
Liang Wan
Liang Wang
59
2
0
02 Jan 2024
Continual Learning via Sequential Function-Space Variational Inference
Continual Learning via Sequential Function-Space Variational Inference
Tim G. J. Rudner
Freddie Bickford-Smith
Qixuan Feng
Yee Whye Teh
Y. Gal
74
42
0
28 Dec 2023
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
116
11
0
28 Dec 2023
Infinite dSprites for Disentangled Continual Learning: Separating Memory
  Edits from Generalization
Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization
Sebastian Dziadzio
cCaugatay Yildiz
Gido M. van de Ven
Tomasz Trzciñski
Tinne Tuytelaars
Matthias Bethge
73
1
0
27 Dec 2023
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
Yan Fan
Yu Wang
Pengfei Zhu
Qinghua Hu
CLL
206
5
0
27 Dec 2023
Learning to Prompt Knowledge Transfer for Open-World Continual Learning
Learning to Prompt Knowledge Transfer for Open-World Continual Learning
Yujie Li
Xin Yang
Hao Wang
Xiangkun Wang
Tianrui Li
VLMCLL
69
18
0
22 Dec 2023
PUMA: Efficient Continual Graph Learning for Node Classification with
  Graph Condensation
PUMA: Efficient Continual Graph Learning for Node Classification with Graph Condensation
Yilun Liu
Ruihong Qiu
Yanran Tang
Hongzhi Yin
Zi Huang
131
5
0
22 Dec 2023
Adapt & Align: Continual Learning with Generative Models Latent Space
  Alignment
Adapt & Align: Continual Learning with Generative Models Latent Space Alignment
Kamil Deja
Bartosz Cywiński
Jan Rybarczyk
Tomasz Trzciñski
CLLDRL
48
0
0
21 Dec 2023
Doubly Perturbed Task Free Continual Learning
Doubly Perturbed Task Free Continual Learning
Byung Hyun Lee
Min-hwan Oh
Se Young Chun
75
3
0
20 Dec 2023
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
114
27
0
16 Dec 2023
DSS: A Diverse Sample Selection Method to Preserve Knowledge in
  Class-Incremental Learning
DSS: A Diverse Sample Selection Method to Preserve Knowledge in Class-Incremental Learning
Sahil Nokhwal
Nirman Kumar
CLL
42
3
0
14 Dec 2023
Class-Wise Buffer Management for Incremental Object Detection: An
  Effective Buffer Training Strategy
Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy
Junsu Kim
Sumin Hong
Chanwoo Kim
Jihyeon Kim
Yihalem Yimolal Tiruneh
Jeongwan On
Jihyun Song
Sunhwa Choi
Seungryul Baek
32
3
0
14 Dec 2023
An Incremental Unified Framework for Small Defect Inspection
An Incremental Unified Framework for Small Defect Inspection
Jiaqi Tang
Hao Lu
Xiaogang Xu
Ruizheng Wu
Sixing Hu
Tong Zhang
Tsz Wa Cheng
Ming Ge
Ying-Cong Chen
Fugee Tsung
91
7
0
14 Dec 2023
Learning a Low-Rank Feature Representation: Achieving Better Trade-Off
  between Stability and Plasticity in Continual Learning
Learning a Low-Rank Feature Representation: Achieving Better Trade-Off between Stability and Plasticity in Continual Learning
Zhenrong Liu
Yang Li
Yi Gong
Yik-Chung Wu
CLL
47
1
0
14 Dec 2023
Read Between the Layers: Leveraging Multi-Layer Representations for
  Rehearsal-Free Continual Learning with Pre-Trained Models
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models
Kyra Ahrens
Hans Hergen Lehmann
Jae Hee Lee
Stefan Wermter
CLL
98
7
0
13 Dec 2023
Continual Learning through Networks Splitting and Merging with
  Dreaming-Meta-Weighted Model Fusion
Continual Learning through Networks Splitting and Merging with Dreaming-Meta-Weighted Model Fusion
Yi Sun
Xin Xu
Jian Li
Guanglei Xie
Yifei Shi
Qiang Fang
CLLMoMe
99
1
0
12 Dec 2023
IL-NeRF: Incremental Learning for Neural Radiance Fields with Camera
  Pose Alignment
IL-NeRF: Incremental Learning for Neural Radiance Fields with Camera Pose Alignment
Letian Zhang
Ming Li
Chong Chen
Jie Xu
CLL
63
3
0
10 Dec 2023
Wake-Sleep Consolidated Learning
Wake-Sleep Consolidated Learning
Amelia Sorrenti
Giovanni Bellitto
Federica Proietto Salanitri
M. Pennisi
S. Palazzo
C. Spampinato
CLL
61
0
0
06 Dec 2023
Benchmarking Continual Learning from Cognitive Perspectives
Benchmarking Continual Learning from Cognitive Perspectives
Xiaoqian Liu
Junge Zhang
Mingyi Zhang
Peipei Yang
83
1
0
06 Dec 2023
Meta-Learned Attribute Self-Interaction Network for Continual and
  Generalized Zero-Shot Learning
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning
Vinay Kumar Verma
Nikhil Mehta
Kevin J. Liang
Aakansha Mishra
Lawrence Carin
BDLVLM
66
3
0
02 Dec 2023
Label Delay in Online Continual Learning
Label Delay in Online Continual Learning
Botos Csaba
Wenxuan Zhang
Matthias Muller
Ser-Nam Lim
Mohamed Elhoseiny
Philip Torr
Adel Bibi
CLL
76
1
0
01 Dec 2023
Improving Plasticity in Online Continual Learning via Collaborative
  Learning
Improving Plasticity in Online Continual Learning via Collaborative Learning
Maorong Wang
Nicolas Michel
Ling Xiao
Toshihiko Yamasaki
CLL
89
10
0
01 Dec 2023
Towards Redundancy-Free Sub-networks in Continual Learning
Towards Redundancy-Free Sub-networks in Continual Learning
Cheng Chen
Jingkuan Song
LianLi Gao
Hengtao Shen
42
1
0
01 Dec 2023
Negotiated Representations to Prevent Forgetting in Machine Learning
  Applications
Negotiated Representations to Prevent Forgetting in Machine Learning Applications
Nuri Korhan
Ceren Öner
CLL
84
0
0
30 Nov 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
DiffMVLM
100
1
0
30 Nov 2023
D4AM: A General Denoising Framework for Downstream Acoustic Models
D4AM: A General Denoising Framework for Downstream Acoustic Models
H. Wang
Yu Tsao
Hsin-Min Wang
Chu-Song Chen
70
4
0
28 Nov 2023
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