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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
Image-free Classifier Injection for Zero-Shot Classification
Image-free Classifier Injection for Zero-Shot Classification
Anders Christensen
Massimiliano Mancini
A. Sophia Koepke
Ole Winther
Zeynep Akata
VLM
111
10
0
21 Aug 2023
A Comprehensive Empirical Evaluation on Online Continual Learning
A Comprehensive Empirical Evaluation on Online Continual Learning
Albin Soutif--Cormerais
Antonio Carta
Andrea Cossu
J. Hurtado
Hamed Hemati
Vincenzo Lomonaco
Joost van de Weijer
CLL
90
21
0
20 Aug 2023
Disposable Transfer Learning for Selective Source Task Unlearning
Disposable Transfer Learning for Selective Source Task Unlearning
Seunghee Koh
Hyounguk Shon
Janghyeon Lee
H. Hong
Junmo Kim
57
2
0
19 Aug 2023
Online Class Incremental Learning on Stochastic Blurry Task Boundary via
  Mask and Visual Prompt Tuning
Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning
Jun-Yeong Moon
Keondo Park
Jung Uk Kim
Gyeong-Moon Park
CLL
68
26
0
18 Aug 2023
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector
  Quantization for Continual Learning
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning
T. Malepathirana
Damith A. Senanayake
Saman K. Halgamuge
CLL
71
13
0
18 Aug 2023
A Fusion of Variational Distribution Priors and Saliency Map Replay for
  Continual 3D Reconstruction
A Fusion of Variational Distribution Priors and Saliency Map Replay for Continual 3D Reconstruction
Sanchar Palit
S. Biswas
74
0
0
17 Aug 2023
Task Relation Distillation and Prototypical Pseudo Label for Incremental
  Named Entity Recognition
Task Relation Distillation and Prototypical Pseudo Label for Incremental Named Entity Recognition
Duzhen Zhang
Hongliu Li
Wei Cong
Rongtao Xu
Jiahua Dong
Xiuyi Chen
CLL
53
11
0
17 Aug 2023
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
Yun Luo
Zhen Yang
Fandong Meng
Yafu Li
Jie Zhou
Yue Zhang
CLLKELM
201
319
0
17 Aug 2023
Advancing continual lifelong learning in neural information retrieval:
  definition, dataset, framework, and empirical evaluation
Advancing continual lifelong learning in neural information retrieval: definition, dataset, framework, and empirical evaluation
Jingrui Hou
Georgina Cosma
Axel Finke
CLL
86
3
0
16 Aug 2023
Graph Relation Aware Continual Learning
Graph Relation Aware Continual Learning
Q. Shen
Weijieying Ren
Wei Qin
CLLBDL
55
2
0
16 Aug 2023
Challenges and Opportunities of Using Transformer-Based Multi-Task
  Learning in NLP Through ML Lifecycle: A Survey
Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Survey
Lovre Torbarina
Tin Ferkovic
Lukasz Roguski
Velimir Mihelčić
Bruno Šarlija
Z. Kraljevic
72
5
0
16 Aug 2023
MixBCT: Towards Self-Adapting Backward-Compatible Training
MixBCT: Towards Self-Adapting Backward-Compatible Training
Yuefeng Liang
Yufeng Zhang
Shiliang Zhang
Yaowei Wang
Shengze Xiao
KenLi Li
Xiaoyu Wang
71
1
0
14 Aug 2023
CBA: Improving Online Continual Learning via Continual Bias Adaptor
CBA: Improving Online Continual Learning via Continual Bias Adaptor
Quanziang Wang
Renzhen Wang
Yichen Wu
Xixi Jia
Deyu Meng
CLL
76
17
0
14 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
112
14
0
11 Aug 2023
Enhancing Efficient Continual Learning with Dynamic Structure
  Development of Spiking Neural Networks
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks
Bing Han
Feifei Zhao
Yi Zeng
Wenxuan Pan
Guobin Shen
CLL
73
13
0
09 Aug 2023
Improving Performance in Continual Learning Tasks using Bio-Inspired
  Architectures
Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures
Sandeep Madireddy
A. Yanguas-Gil
Prasanna Balaprakash
CLL
46
2
0
08 Aug 2023
Non-Convex Bilevel Optimization with Time-Varying Objective Functions
Non-Convex Bilevel Optimization with Time-Varying Objective Functions
Sen-Fon Lin
Daouda Sow
Kaiyi Ji
Yitao Liang
Ness B. Shroff
80
4
0
07 Aug 2023
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio
  Detection
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection
Xiaohui Zhang
Jiangyan Yi
J. Tao
Chenglong Wang
Chuyuan Zhang
CLL
91
24
0
07 Aug 2023
AdaER: An Adaptive Experience Replay Approach for Continual Lifelong
  Learning
AdaER: An Adaptive Experience Replay Approach for Continual Lifelong Learning
Xingyu Li
Bo Tang
Haifeng Li
CLL
55
25
0
07 Aug 2023
Model Provenance via Model DNA
Model Provenance via Model DNA
Xin Mu
Yu Wang
Yehong Zhang
Jiaqi Zhang
Haibo Wang
Yang Xiang
Yue Yu
SyDa
58
0
0
04 Aug 2023
Improving Replay Sample Selection and Storage for Less Forgetting in
  Continual Learning
Improving Replay Sample Selection and Storage for Less Forgetting in Continual Learning
Daniel Brignac
N. Lobo
Abhijit Mahalanobis
KELM
73
12
0
03 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental
  Learning and Its Variants
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants
Yibo Yang
Haobo Yuan
Hefei Ling
Jianlong Wu
Lefei Zhang
Zhouchen Lin
Philip Torr
Dacheng Tao
Guohao Li
CLL
96
11
0
03 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
90
1
0
31 Jul 2023
Subspace Distillation for Continual Learning
Subspace Distillation for Continual Learning
Kaushik Roy
Christian Simon
Peyman Moghadam
Mehrtash Harandi
CLL
27
11
0
31 Jul 2023
Augmented Box Replay: Overcoming Foreground Shift for Incremental Object
  Detection
Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection
Liu Yuyang
Cong Yang
Dipam Goswami
Liu Xialei
Joost van de Weijer
CLL
101
25
0
23 Jul 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
95
12
0
21 Jul 2023
XLDA: Linear Discriminant Analysis for Scaling Continual Learning to
  Extreme Classification at the Edge
XLDA: Linear Discriminant Analysis for Scaling Continual Learning to Extreme Classification at the Edge
Karan Shah
Vishruth Veerendranath
Anushka Hebbar
Raghavendra Bhat
42
0
0
21 Jul 2023
Self-paced Weight Consolidation for Continual Learning
Self-paced Weight Consolidation for Continual Learning
Wei Cong
Yang Cong
Gan Sun
Yuyang Liu
Jiahua Dong
CLL
69
15
0
20 Jul 2023
Gradient-Semantic Compensation for Incremental Semantic Segmentation
Gradient-Semantic Compensation for Incremental Semantic Segmentation
Wei Cong
Yang Cong
Jiahua Dong
Gan Sun
Henghui Ding
CLLVLM
109
13
0
20 Jul 2023
Online Continual Learning for Robust Indoor Object Recognition
Online Continual Learning for Robust Indoor Object Recognition
Umberto Michieli
Mete Ozay
87
9
0
19 Jul 2023
IncDSI: Incrementally Updatable Document Retrieval
IncDSI: Incrementally Updatable Document Retrieval
Varsha Kishore
Chao-gang Wan
Justin Lovelace
Yoav Artzi
Kilian Q. Weinberger
102
12
0
19 Jul 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual
  Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELMMU
98
52
0
16 Jul 2023
Embodied Lifelong Learning for Task and Motion Planning
Embodied Lifelong Learning for Task and Motion Planning
Jorge Armando Mendez Mendez
L. Kaelbling
Tomás Lozano-Pérez
61
17
0
13 Jul 2023
EgoAdapt: A multi-stream evaluation study of adaptation to real-world
  egocentric user video
EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video
Matthias De Lange
H. Eghbalzadeh
Reuben Tan
Michael L. Iuzzolino
Franziska Meier
Karl Ridgeway
EgoV
52
1
0
11 Jul 2023
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental
  Learning
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning
Julien Nicolas
Florent Chiaroni
Imtiaz Masud Ziko
Ola Ahmad
Christian Desrosiers
Jose Dolz
VLMCLL
105
6
0
11 Jul 2023
Domain-Agnostic Neural Architecture for Class Incremental Continual
  Learning in Document Processing Platform
Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform
Mateusz Wójcik
Witold Ko'sciukiewicz
Mateusz Baran
Tomasz Kajdanowicz
Adam Gonczarek
CLL
53
1
0
11 Jul 2023
Test-Time Training on Video Streams
Test-Time Training on Video Streams
Renhao Wang
Yu Sun
Yossi Gandelsman
Xinlei Chen
Alexei A. Efros
Alexei A. Efros
Xiaolong Wang
TTAViT3DGS
151
21
0
11 Jul 2023
Measuring and Mitigating Interference in Reinforcement Learning
Measuring and Mitigating Interference in Reinforcement Learning
Vincent Liu
Han Wang
Ruo Yu Tao
Khurram Javed
Adam White
Martha White
118
6
0
10 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review
Advances and Challenges in Meta-Learning: A Technical Review
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Joaquin Vanschoren
Thorsteinn Rögnvaldsson
K. Santosh
OffRL
96
78
0
10 Jul 2023
Active Class Selection for Few-Shot Class-Incremental Learning
Active Class Selection for Few-Shot Class-Incremental Learning
Christopher McClurg
Ali Ayub
Harsh Tyagi
Sarah M. Rajtmajer
Alan R. Wagner
CLL
65
1
0
05 Jul 2023
Exploring Continual Learning for Code Generation Models
Exploring Continual Learning for Code Generation Models
Prateek Yadav
Q. Sun
Hantian Ding
Xiaopeng Li
Dejiao Zhang
...
Parminder Bhatia
Ramesh Nallapati
M. K. Ramanathan
Joey Tianyi Zhou
Bing Xiang
CLL
92
32
0
05 Jul 2023
RanPAC: Random Projections and Pre-trained Models for Continual Learning
RanPAC: Random Projections and Pre-trained Models for Continual Learning
Mark D Mcdonnell
Dong Gong
Amin Parvaneh
Ehsan Abbasnejad
Anton Van Den Hengel
VLMCLL
120
112
0
05 Jul 2023
Improving Language Plasticity via Pretraining with Active Forgetting
Improving Language Plasticity via Pretraining with Active Forgetting
Yihong Chen
Kelly Marchisio
Roberta Raileanu
David Ifeoluwa Adelani
Pontus Stenetorp
Sebastian Riedel
Mikel Artetx
KELMAI4CECLL
116
27
0
03 Jul 2023
An Efficient General-Purpose Modular Vision Model via Multi-Task
  Heterogeneous Training
An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training
Z. Chen
Mingyu Ding
Songlin Yang
Wei Zhan
Masayoshi Tomizuka
Erik Learned-Miller
Chuang Gan
MoE
67
8
0
29 Jun 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
77
7
0
29 Jun 2023
Improving Online Continual Learning Performance and Stability with
  Temporal Ensembles
Improving Online Continual Learning Performance and Stability with Temporal Ensembles
Albin Soutif--Cormerais
Antonio Carta
Joost van de Weijer
CLL
92
12
0
29 Jun 2023
Learning to Modulate pre-trained Models in RL
Learning to Modulate pre-trained Models in RL
Thomas Schmied
M. Hofmarcher
Fabian Paischer
Razvan Pascanu
Sepp Hochreiter
CLLOffRL
105
18
0
26 Jun 2023
Parameter-Level Soft-Masking for Continual Learning
Parameter-Level Soft-Masking for Continual Learning
Tatsuya Konishi
M. Kurokawa
C. Ono
Zixuan Ke
Gyuhak Kim
Bin Liu
CLL
74
41
0
26 Jun 2023
Few-Shot Continual Learning via Flat-to-Wide Approaches
Few-Shot Continual Learning via Flat-to-Wide Approaches
M. A. Ma'sum
Mahardhika Pratama
E. Lughofer
Lin Liu
Habibullah Habibullah
Ryszard Kowalczyk
VLMCLL
90
4
0
26 Jun 2023
Learnability and Algorithm for Continual Learning
Learnability and Algorithm for Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Bin Liu
CLL
100
30
0
22 Jun 2023
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