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. 1708.01547
  4. Cited By
Lifelong Learning with Dynamically Expandable Networks

Lifelong Learning with Dynamically Expandable Networks

4 August 2017
Jaehong Yoon
Eunho Yang
Jeongtae Lee
Sung Ju Hwang
    CLL
ArXivPDFHTML

Papers citing "Lifelong Learning with Dynamically Expandable Networks"

50 / 262 papers shown
Title
Two Complementary Perspectives to Continual Learning: Ask Not Only What
  to Optimize, But Also How
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How
Timm Hess
Tinne Tuytelaars
Gido M. van de Ven
49
7
0
08 Nov 2023
Continual Named Entity Recognition without Catastrophic Forgetting
Continual Named Entity Recognition without Catastrophic Forgetting
Duzhen Zhang
Wei Cong
Jiahua Dong
Yahan Yu
Xiuyi Chen
Yonggang Zhang
Zhen Fang
28
10
0
23 Oct 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
Elephant Neural Networks: Born to Be a Continual Learner
Elephant Neural Networks: Born to Be a Continual Learner
Qingfeng Lan
A. Rupam Mahmood
CLL
56
9
0
02 Oct 2023
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Jiahua Dong
Wenqi Liang
Yang Cong
Gan Sun
CLL
33
19
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
45
23
0
07 Aug 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
34
14
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
CLL
VLM
44
12
0
20 Jul 2023
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired
  Continual Learning
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired Continual Learning
Mustafa Burak Gurbuz
J. M. Moorman
Constantinos Dovrolis
CLL
39
0
0
29 May 2023
Schema-adaptable Knowledge Graph Construction
Schema-adaptable Knowledge Graph Construction
Hongbin Ye
Honghao Gui
Xin Xu
Xi Chen
Huajun Chen
Ningyu Zhang
45
4
0
15 May 2023
SRIL: Selective Regularization for Class-Incremental Learning
SRIL: Selective Regularization for Class-Incremental Learning
Jisu Han
Jaemin Na
Wonjun Hwang
CLL
44
0
0
09 May 2023
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation
Mohit Sharma
Claudio Fantacci
Yuxiang Zhou
Skanda Koppula
N. Heess
Jonathan Scholz
Y. Aytar
VLM
55
29
0
13 Apr 2023
Density Map Distillation for Incremental Object Counting
Density Map Distillation for Incremental Object Counting
Chenshen Wu
Joost van de Weijer
37
2
0
11 Apr 2023
CoDeC: Communication-Efficient Decentralized Continual Learning
CoDeC: Communication-Efficient Decentralized Continual Learning
Sakshi Choudhary
Sai Aparna Aketi
Gobinda Saha
Kaushik Roy
CLL
53
3
0
27 Mar 2023
Task-Attentive Transformer Architecture for Continual Learning of
  Vision-and-Language Tasks Using Knowledge Distillation
Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation
Yuliang Cai
Jesse Thomason
Mohammad Rostami
VLM
CLL
24
11
0
25 Mar 2023
Remind of the Past: Incremental Learning with Analogical Prompts
Remind of the Past: Incremental Learning with Analogical Prompts
Zhiheng Ma
Xiaopeng Hong
Beinan Liu
Yabin Wang
Pinyue Guo
Huiyun Li
CLL
44
1
0
24 Mar 2023
Leveraging Old Knowledge to Continually Learn New Classes in Medical
  Images
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images
Evelyn Chee
Mong Li Lee
Wynne Hsu
CLL
27
7
0
24 Mar 2023
Centroid Distance Distillation for Effective Rehearsal in Continual
  Learning
Centroid Distance Distillation for Effective Rehearsal in Continual Learning
Daofeng Liu
Fan Lyu
Linyan Li
Zhenping Xia
Fuyuan Hu
27
4
0
06 Mar 2023
A Multi-Agent Adaptive Deep Learning Framework for Online Intrusion
  Detection
A Multi-Agent Adaptive Deep Learning Framework for Online Intrusion Detection
Mahdi Soltani
Khashayar Khajavi
M. J. Siavoshani
A. Jahangir
25
7
0
05 Mar 2023
Better Generative Replay for Continual Federated Learning
Better Generative Replay for Continual Federated Learning
Daiqing Qi
Handong Zhao
Sheng Li
FedML
32
47
0
25 Feb 2023
The Dormant Neuron Phenomenon in Deep Reinforcement Learning
The Dormant Neuron Phenomenon in Deep Reinforcement Learning
Ghada Sokar
Rishabh Agarwal
Pablo Samuel Castro
Utku Evci
CLL
53
90
0
24 Feb 2023
Task-Aware Information Routing from Common Representation Space in
  Lifelong Learning
Task-Aware Information Routing from Common Representation Space in Lifelong Learning
Prashant Shivaram Bhat
Bahram Zonooz
Elahe Arani
CLL
23
25
0
14 Feb 2023
Multipath agents for modular multitask ML systems
Multipath agents for modular multitask ML systems
Andrea Gesmundo
33
1
0
06 Feb 2023
Continual Learning with Scaled Gradient Projection
Continual Learning with Scaled Gradient Projection
Gobinda Saha
Kaushik Roy
CLL
19
27
0
02 Feb 2023
Online Continual Learning via the Knowledge Invariant and Spread-out
  Properties
Online Continual Learning via the Knowledge Invariant and Spread-out Properties
Ya-nan Han
Jian-wei Liu
CLL
48
7
0
02 Feb 2023
Continual Graph Learning: A Survey
Continual Graph Learning: A Survey
Qiao Yuan
S. Guan
Pin Ni
Tianlun Luo
Ka Lok Man
Prudence W. H. Wong
Victor I. Chang
CLL
37
14
0
28 Jan 2023
Restricted Orthogonal Gradient Projection for Continual Learning
Restricted Orthogonal Gradient Projection for Continual Learning
Zeyuan Yang
Zonghan Yang
Peng Li
Yang Liu
CLL
34
4
0
28 Jan 2023
Streaming LifeLong Learning With Any-Time Inference
Streaming LifeLong Learning With Any-Time Inference
S. Banerjee
Vinay Kumar Verma
Vinay P. Namboodiri
CLL
37
3
0
27 Jan 2023
Are Labels Needed for Incremental Instance Learning?
Are Labels Needed for Incremental Instance Learning?
Mert Kilickaya
Joaquin Vanschoren
CLL
SSL
50
1
0
26 Jan 2023
A Distinct Unsupervised Reference Model From The Environment Helps
  Continual Learning
A Distinct Unsupervised Reference Model From The Environment Helps Continual Learning
Seyyed Amirhossein Ameli Kalkhoran
Mohammadamin Banayeeanzade
Mahdi Samiei
M. Baghshah
BDL
CLL
36
0
0
11 Jan 2023
Single image calibration using knowledge distillation approaches
Single image calibration using knowledge distillation approaches
Khadidja Ould Amer
O. Hadjerci
Mohamed Abbas Hedjazi
Antoine Letienne
24
0
0
05 Dec 2022
FedKNOW: Federated Continual Learning with Signature Task Knowledge
  Integration at Edge
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge
Yaxin Luopan
Rui Han
Qinglong Zhang
Chi Harold Liu
Guoren Wang
FedML
31
18
0
04 Dec 2022
Progressive Learning without Forgetting
Progressive Learning without Forgetting
Tao Feng
Hangjie Yuan
Mang Wang
Ziyuan Huang
Ang Bian
Jianzhou Zhang
CLL
KELM
54
4
0
28 Nov 2022
Overcoming Catastrophic Forgetting by XAI
Overcoming Catastrophic Forgetting by XAI
Giang Nguyen
20
0
0
25 Nov 2022
Continual Learning of Natural Language Processing Tasks: A Survey
Continual Learning of Natural Language Processing Tasks: A Survey
Zixuan Ke
Bin Liu
KELM
CLL
VLM
39
69
0
23 Nov 2022
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
James Smith
Paola Cascante-Bonilla
Assaf Arbelle
Donghyun Kim
Yikang Shen
David D. Cox
Diyi Yang
Z. Kira
Rogerio Feris
Leonid Karlinsky
VLM
47
20
0
17 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning
Hierarchically Structured Task-Agnostic Continual Learning
Heinke Hihn
Daniel A. Braun
BDL
CLL
31
8
0
14 Nov 2022
Efficient Bayesian Updates for Deep Learning via Laplace Approximations
Efficient Bayesian Updates for Deep Learning via Laplace Approximations
Denis Huseljic
M. Herde
Lukas Rauch
Paul Hahn
Zhixin Huang
D. Kottke
S. Vogt
Bernhard Sick
BDL
23
0
0
12 Oct 2022
Towards Real-Time Temporal Graph Learning
Towards Real-Time Temporal Graph Learning
Deniz Gurevin
Mohsin Shan
Tong Geng
Weiwen Jiang
Caiwen Ding
O. Khan
AI4TS
AI4CE
43
0
0
08 Oct 2022
Distance Based Image Classification: A solution to generative
  classification's conundrum?
Distance Based Image Classification: A solution to generative classification's conundrum?
Wen-Yan Lin
Siying Liu
B. Dai
Hongdong Li
VLM
37
2
0
04 Oct 2022
Efficient Meta-Learning for Continual Learning with Taylor Expansion
  Approximation
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation
Xiaohan Zou
Tong Lin
CLL
33
2
0
03 Oct 2022
Optimizing Class Distribution in Memory for Multi-Label Online Continual
  Learning
Optimizing Class Distribution in Memory for Multi-Label Online Continual Learning
Yanyan Liang
Wu-Jun Li
CLL
29
8
0
23 Sep 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning
Learn the Time to Learn: Replay Scheduling in Continual Learning
Marcus Klasson
Hedvig Kjellström
Chen Zhang
CLL
37
9
0
18 Sep 2022
Forgetting to Remember: A Scalable Incremental Learning Framework for
  Cross-Task Blind Image Quality Assessment
Forgetting to Remember: A Scalable Incremental Learning Framework for Cross-Task Blind Image Quality Assessment
Rui Ma
Qingbo Wu
K. Ngan
Hongliang Li
Fanman Meng
Linfeng Xu
CLL
34
15
0
15 Sep 2022
Selecting Related Knowledge via Efficient Channel Attention for Online
  Continual Learning
Selecting Related Knowledge via Efficient Channel Attention for Online Continual Learning
Ya-nan Han
Jian-wei Liu
CLL
25
0
0
09 Sep 2022
Scalable Adversarial Online Continual Learning
Scalable Adversarial Online Continual Learning
T. Dam
Mahardhika Pratama
Md Meftahul Ferdaus
S. Anavatti
Hussein Abbas
CLL
41
3
0
04 Sep 2022
A Theory for Knowledge Transfer in Continual Learning
A Theory for Knowledge Transfer in Continual Learning
Diana Benavides-Prado
Patricia J. Riddle
CLL
39
13
0
14 Aug 2022
On the Limitations of Continual Learning for Malware Classification
On the Limitations of Continual Learning for Malware Classification
Mohammad Saidur Rahman
Scott E. Coull
M. Wright
34
13
0
13 Aug 2022
Continual Machine Reading Comprehension via Uncertainty-aware Fixed
  Memory and Adversarial Domain Adaptation
Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation
Zhijing Wu
Hua Xu
Jingliang Fang
Kai Gao
CLL
28
1
0
10 Aug 2022
Continual Prune-and-Select: Class-incremental learning with specialized
  subnetworks
Continual Prune-and-Select: Class-incremental learning with specialized subnetworks
Aleksandr Dekhovich
David Tax
M. Sluiter
Miguel A. Bessa
CLL
31
20
0
09 Aug 2022
Previous
123456
Next