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Reinforced Continual Learning

Reinforced Continual Learning

31 May 2018
Ju Xu
Zhanxing Zhu
    CLL
ArXivPDFHTML

Papers citing "Reinforced Continual Learning"

50 / 208 papers shown
Title
Efficient Expansion and Gradient Based Task Inference for Replay Free
  Incremental Learning
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning
Soumya Roy
Vinay Kumar Verma
Deepak Gupta
CLL
56
2
0
02 Dec 2023
Wakening Past Concepts without Past Data: Class-Incremental Learning
  from Online Placebos
Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos
Yaoyao Liu
Yingying Li
Bernt Schiele
Qianru Sun
CLL
OnRL
29
7
0
24 Oct 2023
Minimax Forward and Backward Learning of Evolving Tasks with Performance
  Guarantees
Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees
Verónica Álvarez
Santiago Mazuelas
Jose A. Lozano
CLL
36
1
0
24 Oct 2023
Continual Learning via Manifold Expansion Replay
Continual Learning via Manifold Expansion Replay
Zihao Xu
Xuan Tang
Yufei Shi
Jianfeng Zhang
Jian Yang
Mingsong Chen
Xian Wei
KELM
CLL
19
4
0
12 Oct 2023
All by Myself: Learning Individualized Competitive Behaviour with a
  Contrastive Reinforcement Learning optimization
All by Myself: Learning Individualized Competitive Behaviour with a Contrastive Reinforcement Learning optimization
Pablo V. A. Barros
A. Sciutti
SSL
33
3
0
02 Oct 2023
HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning
HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning
Kamil Ksiazek
Przemysław Spurek
CLL
40
5
0
29 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
39
7
0
18 Sep 2023
Adaptive Reorganization of Neural Pathways for Continual Learning with
  Spiking Neural Networks
Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks
Bing Han
Feifei Zhao
Wenxuan Pan
Zhaoya Zhao
Xianqi Li
Qingqun Kong
Yi Zeng
CLL
32
3
0
18 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
30
10
0
04 Sep 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
29
14
0
24 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
39
0
0
17 Aug 2023
Graph Relation Aware Continual Learning
Graph Relation Aware Continual Learning
Q. Shen
Weijieying Ren
Wei Qin
CLL
BDL
31
2
0
16 Aug 2023
SATHUR: Self Augmenting Task Hallucinal Unified Representation for
  Generalized Class Incremental Learning
SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning
Sathursan Kanagarajah
Thanuja D. Ambegoda
Ranga Rodrigo
CLL
27
0
0
13 Aug 2023
Continual Face Forgery Detection via Historical Distribution Preserving
Continual Face Forgery Detection via Historical Distribution Preserving
Ke Sun
Shen Chen
Taiping Yao
Xiaoshuai Sun
Shouhong Ding
Rongrong Ji
CVBM
AAML
51
4
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
45
12
0
09 Aug 2023
General Purpose Artificial Intelligence Systems (GPAIS): Properties,
  Definition, Taxonomy, Societal Implications and Responsible Governance
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Societal Implications and Responsible Governance
I. Triguero
Daniel Molina
Javier Poyatos
Javier Del Ser
Francisco Herrera
AI4TS
AI4MH
34
5
0
26 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 Yang
Laurent Itti
CLL
50
11
0
21 Jul 2023
Learnability and Algorithm for Continual Learning
Learnability and Algorithm for Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Bin Liu
CLL
45
24
0
22 Jun 2023
Partial Hypernetworks for Continual Learning
Partial Hypernetworks for Continual Learning
Hamed Hemati
Vincenzo Lomonaco
D. Bacciu
Damian Borth
CLL
24
7
0
19 Jun 2023
Fast Context Adaptation in Cost-Aware Continual Learning
Fast Context Adaptation in Cost-Aware Continual Learning
Seyyidahmed Lahmer
Federico Mason
Federico Chiariotti
Andrea Zanella
26
1
0
06 Jun 2023
Context selectivity with dynamic availability enables lifelong continual
  learning
Context selectivity with dynamic availability enables lifelong continual learning
M. Barry
W. Gerstner
G. Bellec
CLL
19
0
0
02 Jun 2023
Learning without Forgetting for Vision-Language Models
Learning without Forgetting for Vision-Language Models
Da-Wei Zhou
Yuanhan Zhang
Jingyi Ning
Jingyi Ning
De-Chuan Zhan
De-Chuan Zhan
Ziwei Liu
VLM
CLL
74
37
0
30 May 2023
Just a Glimpse: Rethinking Temporal Information for Video Continual
  Learning
Just a Glimpse: Rethinking Temporal Information for Video Continual Learning
Lama Alssum
Juan Carlos León Alcázar
Merey Ramazanova
Chen Zhao
Guohao Li
CLL
32
6
0
28 May 2023
Backdoor Attacks Against Incremental Learners: An Empirical Evaluation
  Study
Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study
Yiqi Zhong
Xianming Liu
Deming Zhai
Junjun Jiang
Xiang Ji
AAML
23
0
0
28 May 2023
Practical PCG Through Large Language Models
Practical PCG Through Large Language Models
Muhammad Umair Nasir
Julian Togelius
LLMAG
46
23
0
20 May 2023
Mode-Aware Continual Learning for Conditional Generative Adversarial
  Networks
Mode-Aware Continual Learning for Conditional Generative Adversarial Networks
Cat P. Le
Juncheng Dong
Ahmed Aloui
Vahid Tarokh
TTA
GAN
36
1
0
19 May 2023
Artificial intelligence to advance Earth observation: a perspective
Artificial intelligence to advance Earth observation: a perspective
D. Tuia
Konrad Schindler
Begüm Demir
Gustau Camps-Valls
Xiao Xiang Zhu
...
Mihai Datcu
Jorge-Arnulfo Quiané-Ruiz
Volker Markl
Bertrand Le Saux
Rochelle Schneider
36
10
0
15 May 2023
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong
  Learning
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning
Wenjin Wang
Yunqing Hu
Qianglong Chen
Yin Zhang
CLL
45
13
0
11 Apr 2023
Forget-free Continual Learning with Soft-Winning SubNetworks
Forget-free Continual Learning with Soft-Winning SubNetworks
Haeyong Kang
Jaehong Yoon
Sultan Rizky Hikmawan Madjid
Sung Ju Hwang
Chang D. Yoo
CLL
41
4
0
27 Mar 2023
Class-Incremental Exemplar Compression for Class-Incremental Learning
Class-Incremental Exemplar Compression for Class-Incremental Learning
Zilin Luo
Yaoyao Liu
Bernt Schiele
Qianru Sun
VLM
CLL
96
44
0
24 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
41
1
0
24 Mar 2023
Adiabatic replay for continual learning
Adiabatic replay for continual learning
Alexander Krawczyk
A. Gepperth
45
3
0
23 Mar 2023
Fixed Design Analysis of Regularization-Based Continual Learning
Fixed Design Analysis of Regularization-Based Continual Learning
Haoran Li
Jingfeng Wu
Vladimir Braverman
CLL
36
9
0
17 Mar 2023
Revisiting Class-Incremental Learning with Pre-Trained Models:
  Generalizability and Adaptivity are All You Need
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
Ziwei Liu
CLL
41
101
0
13 Mar 2023
TARGET: Federated Class-Continual Learning via Exemplar-Free
  Distillation
TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation
Jie M. Zhang
Chen Chen
Weiming Zhuang
Lingjuan Lv
CLL
FedML
33
47
0
13 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
A Neural Span-Based Continual Named Entity Recognition Model
A Neural Span-Based Continual Named Entity Recognition Model
Yunan Zhang
Qingcai Chen
CLL
44
7
0
23 Feb 2023
Effects of Architectures on Continual Semantic Segmentation
Effects of Architectures on Continual Semantic Segmentation
Tobias Kalb
Niket Ahuja
Jingxing Zhou
Jürgen Beyerer
CLL
34
3
0
21 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
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELM
CLL
65
616
0
31 Jan 2023
RMM: Reinforced Memory Management for Class-Incremental Learning
RMM: Reinforced Memory Management for Class-Incremental Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
CLL
42
93
0
14 Jan 2023
Online Hyperparameter Optimization for Class-Incremental Learning
Online Hyperparameter Optimization for Class-Incremental Learning
Yaoyao Liu
Yingying Li
Bernt Schiele
Qianru Sun
CLL
32
32
0
11 Jan 2023
Self-Activating Neural Ensembles for Continual Reinforcement Learning
Self-Activating Neural Ensembles for Continual Reinforcement Learning
Sam Powers
Eliot Xing
Abhinav Gupta
KELM
CLL
38
5
0
31 Dec 2022
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental
  Learning
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
Xialei Liu
Jiang-Tian Zhai
Andrew D. Bagdanov
Ke Li
Mingg-Ming Cheng
CLL
33
4
0
16 Dec 2022
Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of
  Backdoor Effects in Trojaned Machine Learning Models
Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models
Rui Zhu
Di Tang
Siyuan Tang
Xiaofeng Wang
Haixu Tang
AAML
FedML
37
13
0
09 Dec 2022
Data Poisoning Attack Aiming the Vulnerability of Continual Learning
Data Poisoning Attack Aiming the Vulnerability of Continual Learning
Gyojin Han
Jaehyun Choi
H. Hong
Junmo Kim
AAML
14
2
0
29 Nov 2022
Progressive Learning without Forgetting
Progressive Learning without Forgetting
Tao Feng
Hangjie Yuan
Mang Wang
Ziyuan Huang
Ang Bian
Jianzhou Zhang
CLL
KELM
49
4
0
28 Nov 2022
Building a Subspace of Policies for Scalable Continual Learning
Building a Subspace of Policies for Scalable Continual Learning
Jean-Baptiste Gaya
T. Doan
Lucas Caccia
Laure Soulier
Ludovic Denoyer
Roberta Raileanu
CLL
42
29
0
18 Nov 2022
Mining Unseen Classes via Regional Objectness: A Simple Baseline for
  Incremental Segmentation
Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation
Zekang Zhang
Guangyu Gao
Zhiyuan Fang
Jianbo Jiao
Yunchao Wei
CLL
28
31
0
13 Nov 2022
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