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. 1706.08840
  4. Cited By
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
TAIL: Task-specific Adapters for Imitation Learning with Large
  Pretrained Models
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
Zuxin Liu
Jesse Zhang
Kavosh Asadi
Yao Liu
Ding Zhao
Shoham Sabach
Rasool Fakoor
ALMAI4CE
111
30
0
09 Oct 2023
Continuous Invariance Learning
Continuous Invariance Learning
Yong Lin
Fan Zhou
Lu Tan
Lintao Ma
Jiameng Liu
...
Yuan Yuan
Yu Liu
James Y. Zhang
Yujiu Yang
Hao Wang
CLLOOD
80
4
0
09 Oct 2023
Keep Moving: identifying task-relevant subspaces to maximise plasticity
  for newly learned tasks
Keep Moving: identifying task-relevant subspaces to maximise plasticity for newly learned tasks
Daniel Anthes
Sushrut Thorat
Peter König
Tim C Kietzmann
CLL
51
0
0
07 Oct 2023
Saliency-Guided Hidden Associative Replay for Continual Learning
Saliency-Guided Hidden Associative Replay for Continual Learning
Guangji Bai
Qilong Zhao
Xiaoyang Jiang
Yifei Zhang
Liang Zhao
CLL
102
6
0
06 Oct 2023
Design Principles for Lifelong Learning AI Accelerators
Design Principles for Lifelong Learning AI Accelerators
Dhireesha Kudithipudi
Anurag Daram
Abdullah M. Zyarah
Fatima Tuz Zohora
J. Aimone
...
Emre Neftci
M. Mattina
Vincenzo Lomonaco
Clare D. Thiem
Benjamin Epstein
109
17
0
05 Oct 2023
Adaptive Visual Scene Understanding: Incremental Scene Graph Generation
Adaptive Visual Scene Understanding: Incremental Scene Graph Generation
Naitik Khandelwal
Xiao Liu
Mengmi Zhang
CLL
84
0
0
02 Oct 2023
Elephant Neural Networks: Born to Be a Continual Learner
Elephant Neural Networks: Born to Be a Continual Learner
Qingfeng Lan
A. Rupam Mahmood
CLL
100
9
0
02 Oct 2023
Towards guarantees for parameter isolation in continual learning
Towards guarantees for parameter isolation in continual learning
Giulia Lanzillotta
Sidak Pal Singh
Benjamin Grewe
Thomas Hofmann
65
0
0
02 Oct 2023
Primal Dual Continual Learning: Balancing Stability and Plasticity
  through Adaptive Memory Allocation
Primal Dual Continual Learning: Balancing Stability and Plasticity through Adaptive Memory Allocation
Juan Elenter
Navid Naderializadeh
Tara Javidi
Alejandro Ribeiro
CLL
118
3
0
29 Sep 2023
HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning
HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning
Kamil Ksiazek
Przemysław Spurek
CLL
106
6
0
29 Sep 2023
In search of dispersed memories: Generative diffusion models are
  associative memory networks
In search of dispersed memories: Generative diffusion models are associative memory networks
Luca Ambrogioni
DiffM
73
27
0
29 Sep 2023
E2Net: Resource-Efficient Continual Learning with Elastic Expansion
  Network
E2Net: Resource-Efficient Continual Learning with Elastic Expansion Network
Ruiqi Liu
Boyu Diao
Libo Huang
Zhulin An
Yongjun Xu
CLL
103
0
0
28 Sep 2023
Class Incremental Learning via Likelihood Ratio Based Task Prediction
Class Incremental Learning via Likelihood Ratio Based Task Prediction
Haowei Lin
Yijia Shao
W. Qian
Ningxin Pan
Yiduo Guo
Bing-Quan Liu
CLL
111
14
0
26 Sep 2023
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
Huiwei Lin
Shanshan Feng
Baoquan Zhang
Xutao Li
Yew-Soon Ong
CLL
131
0
0
26 Sep 2023
Revisiting Softmax Masking: Stop Gradient for Enhancing Stability in
  Replay-based Continual Learning
Revisiting Softmax Masking: Stop Gradient for Enhancing Stability in Replay-based Continual Learning
Hoyong Kim
M. Kwon
Kangil Kim
CLL
81
0
0
26 Sep 2023
Clustering-based Domain-Incremental Learning
Clustering-based Domain-Incremental Learning
Christiaan Lamers
René Vidal
A. Belbachir
Niki van Stein
Thomas Baeck
Paris Giampouras
CLLOOD
81
10
0
21 Sep 2023
Create and Find Flatness: Building Flat Training Spaces in Advance for
  Continual Learning
Create and Find Flatness: Building Flat Training Spaces in Advance for Continual Learning
Wenhang Shi
Yiren Chen
Zhe Zhao
Wei Lu
Kimmo Yan
Xiaoyong Du
CLL
81
5
0
20 Sep 2023
RECALL+: Adversarial Web-based Replay for Continual Learning in Semantic
  Segmentation
RECALL+: Adversarial Web-based Replay for Continual Learning in Semantic Segmentation
Chang Liu
Giulia Rizzoli
F. Barbato
Andrea Maracani
Marco Toldo
Umberto Michieli
Yi Niu
Pietro Zanuttigh
CLL
75
2
0
19 Sep 2023
Analysis of the Memorization and Generalization Capabilities of AI
  Agents: Are Continual Learners Robust?
Analysis of the Memorization and Generalization Capabilities of AI Agents: Are Continual Learners Robust?
Minsu Kim
Walid Saad
55
2
0
18 Sep 2023
Looking through the past: better knowledge retention for generative
  replay in continual learning
Looking through the past: better knowledge retention for generative replay in continual learning
Valeriya Khan
Sebastian Cygert
Kamil Deja
Tomasz Trzciñski
Bartlomiej Twardowski
75
7
0
18 Sep 2023
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant
  Forgery Clues
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues
Kun Pan
Yifang Yin
Yao Wei
Feng Lin
Zhongjie Ba
Zhenguang Liu
Peng Kuang
Lorenzo Cavallaro
Kui Ren
CLL
109
17
0
18 Sep 2023
CaT: Balanced Continual Graph Learning with Graph Condensation
CaT: Balanced Continual Graph Learning with Graph Condensation
Yilun Liu
Ruihong Qiu
Zi Huang
DD
110
42
0
18 Sep 2023
SHAPNN: Shapley Value Regularized Tabular Neural Network
SHAPNN: Shapley Value Regularized Tabular Neural Network
Qisen Cheng
Shuhui Qu
Janghwan Lee
65
3
0
15 Sep 2023
Towards Robust Continual Learning with Bayesian Adaptive Moment
  Regularization
Towards Robust Continual Learning with Bayesian Adaptive Moment Regularization
Jack Foster
Alexandra Brintrup
CLL
90
0
0
15 Sep 2023
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime
  Inference
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference
S. Banerjee
Vinay Kumar Verma
Avideep Mukherjee
Deepak Gupta
Vinay P. Namboodiri
Piyush Rai
CLL
91
5
0
15 Sep 2023
Continual Learning with Dirichlet Generative-based Rehearsal
Continual Learning with Dirichlet Generative-based Rehearsal
Min Zeng
Wei Xue
Qi-fei Liu
Yi-Ting Guo
CLLBDL
59
6
0
13 Sep 2023
UER: A Heuristic Bias Addressing Approach for Online Continual Learning
UER: A Heuristic Bias Addressing Approach for Online Continual Learning
Huiwei Lin
Shanshan Feng
Baoquan Zhang
Hongliang Qiao
Xutao Li
Yunming Ye
CLL
75
4
0
08 Sep 2023
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch
  Size
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size
John Chen
Chen Dun
Anastasios Kyrillidis
48
3
0
07 Sep 2023
Continual Evidential Deep Learning for Out-of-Distribution Detection
Continual Evidential Deep Learning for Out-of-Distribution Detection
Eduardo Aguilar
Bogdan Raducanu
Petia Radeva
Joost van de Weijer
OODDEDL
83
8
0
06 Sep 2023
Continual Improvement of Threshold-Based Novelty Detection
Continual Improvement of Threshold-Based Novelty Detection
Abe Ejilemele
Jorge Mendez-Mendez
57
0
0
05 Sep 2023
Continual Cross-Dataset Adaptation in Road Surface Classification
Continual Cross-Dataset Adaptation in Road Surface Classification
Paolo Cudrano
Matteo Bellusci
Giuseppe Macino
Matteo Matteucci
CLL
66
1
0
05 Sep 2023
Instant Continual Learning of Neural Radiance Fields
Instant Continual Learning of Neural Radiance Fields
Ryan Po
Zhengyang Dong
Alexander W. Bergman
Gordon Wetzstein
CLL
86
10
0
04 Sep 2023
Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting
  in Continual Federated Learning
Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning
Yavuz Faruk Bakman
D. Yaldiz
Yahya H. Ezzeldin
A. Avestimehr
CLLFedML
168
18
0
03 Sep 2023
Continual Learning From a Stream of APIs
Continual Learning From a Stream of APIs
Enneng Yang
Zhenyi Wang
Li Shen
Nan Yin
Tongliang Liu
Guibing Guo
Xingwei Wang
Dacheng Tao
CLL
83
3
0
31 Aug 2023
ScrollNet: Dynamic Weight Importance for Continual Learning
ScrollNet: Dynamic Weight Importance for Continual Learning
Fei Yang
Kai Wang
Joost van de Weijer
64
5
0
31 Aug 2023
Introducing Language Guidance in Prompt-based Continual Learning
Introducing Language Guidance in Prompt-based Continual Learning
Muhammad Gul Zain Ali Khan
Muhammad Ferjad Naeem
Luc Van Gool
D. Stricker
F. Tombari
Muhammad Zeshan Afzal
VLMCLL
103
51
0
30 Aug 2023
Incorporating Neuro-Inspired Adaptability for Continual Learning in
  Artificial Intelligence
Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligence
Liyuan Wang
Xingxing Zhang
Qian Li
Mingtian Zhang
Hang Su
Jun Zhu
Yi Zhong
95
57
0
29 Aug 2023
Continual Learning with Dynamic Sparse Training: Exploring Algorithms
  for Effective Model Updates
Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates
Murat Onur Yildirim
Elif Ceren Gok Yildirim
Ghada Sokar
Decebal Constantin Mocanu
Joaquin Vanschoren
CLL
56
8
0
28 Aug 2023
CLNeRF: Continual Learning Meets NeRF
CLNeRF: Continual Learning Meets NeRF
Zhipeng Cai
Matthias Mueller
CLL
91
16
0
28 Aug 2023
Universal Graph Continual Learning
Universal Graph Continual Learning
Thanh Duc Hoang
Do Viet Tung
Duy-Hung Nguyen
Bao-Sinh Nguyen
Huy Hoang Nguyen
Hung Le
CLL
77
4
0
27 Aug 2023
GRASP: A Rehearsal Policy for Efficient Online Continual Learning
GRASP: A Rehearsal Policy for Efficient Online Continual Learning
Md Yousuf Harun
Jhair Gallardo
Junyu Chen
Christopher Kanan
CLL
107
10
0
25 Aug 2023
ConSlide: Asynchronous Hierarchical Interaction Transformer with
  Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis
ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis
Yanyan Huang
Weiqin Zhao
Shujun Wang
Yu Fu
Yuming Jiang
Lequan Yu
CLL
130
19
0
25 Aug 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
130
47
0
25 Aug 2023
Dynamic Residual Classifier for Class Incremental Learning
Dynamic Residual Classifier for Class Incremental Learning
Xiu-yan Chen
Xiaobin Chang
82
18
0
25 Aug 2023
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in
  Federated Learning
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
Gihun Lee
Minchan Jeong
Sangmook Kim
Jaehoon Oh
Se-Young Yun
FedML
87
9
0
24 Aug 2023
Masked Autoencoders are Efficient Class Incremental Learners
Masked Autoencoders are Efficient Class Incremental Learners
Jiang-Tian Zhai
Xialei Liu
Andrew D. Bagdanov
Ke Li
Mingg-Ming Cheng
CLL
63
15
0
24 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
CLLKELM
128
23
0
23 Aug 2023
Exemplar-Free Continual Transformer with Convolutions
Exemplar-Free Continual Transformer with Convolutions
Anurag Roy
Vinay Kumar Verma
Sravan Voonna
Kripabandhu Ghosh
Saptarshi Ghosh
Abir Das
CLLBDL
44
10
0
22 Aug 2023
Audio-Visual Class-Incremental Learning
Audio-Visual Class-Incremental Learning
Weiguo Pian
Shentong Mo
Yunhui Guo
Yapeng Tian
CLLVLM
87
30
0
21 Aug 2023
Color Prompting for Data-Free Continual Unsupervised Domain Adaptive
  Person Re-Identification
Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-Identification
Jianyang Gu
Haowen Luo
Kai Wang
Wei Jiang
Yang You
Jian-jun Zhao
VLM
87
4
0
21 Aug 2023
Previous
123...101112...303132
Next