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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
Reinforced Interactive Continual Learning via Real-time Noisy Human Feedback
Reinforced Interactive Continual Learning via Real-time Noisy Human Feedback
Yutao Yang
Jie Zhou
Junsong Li
Qianjun Pan
Bihao Zhan
Qin Chen
Xipeng Qiu
Liang He
CLL
31
0
0
15 May 2025
Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images
Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images
Sara Yavari
Jacob Furst
CLL
58
0
0
28 Apr 2025
SEE: Continual Fine-tuning with Sequential Ensemble of Experts
SEE: Continual Fine-tuning with Sequential Ensemble of Experts
Zhilin Wang
Yafu Li
Xiaoye Qu
Yu Cheng
CLL
KELM
58
0
0
09 Apr 2025
Progressive Multi-Source Domain Adaptation for Personalized Facial Expression Recognition
Progressive Multi-Source Domain Adaptation for Personalized Facial Expression Recognition
Muhammad Osama Zeeshan
M. Pedersoli
A. L. Koerich
Eric Grange
34
0
0
05 Apr 2025
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Yupei Li
M. Milling
Björn Schuller
AI4CE
107
0
0
27 Mar 2025
Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning
Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning
Jizhou Han
Chenhao Ding
Yuhang He
Songlin Dong
Qiang Wang
Xinyuan Gao
Yihong Gong
CLL
64
0
0
27 Mar 2025
IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting
IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting
Hao Fu
Hanbin Zhao
Jiahua Dong
Chao Zhang
Hui Qian
CLL
VLM
93
0
0
26 Mar 2025
Global Convergence of Continual Learning on Non-IID Data
Global Convergence of Continual Learning on Non-IID Data
Fei Zhu
Yujing Liu
Wenzhuo Liu
Zhaoxiang Zhang
50
0
0
24 Mar 2025
Optimized 3D Gaussian Splatting using Coarse-to-Fine Image Frequency Modulation
Optimized 3D Gaussian Splatting using Coarse-to-Fine Image Frequency Modulation
Umar Farooq
Jean-Yves Guillemaut
Adrian Hilton
M. Volino
3DGS
75
0
0
18 Mar 2025
Personalized Class Incremental Context-Aware Food Classification for Food Intake Monitoring Systems
Hassan Kazemi Tehrani
Jun Cai
Abbas Yekanlou
Sylvia Santosa
73
0
0
09 Mar 2025
SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks
Yijie Guo
Bingjie Tang
Iretiayo Akinola
Dieter Fox
Abhishek Gupta
Yashraj S. Narang
49
0
0
06 Mar 2025
Neural Networks Remember More: The Power of Parameter Isolation and Combination
Neural Networks Remember More: The Power of Parameter Isolation and Combination
Biqing Zeng
Zehan Li
Aladdin Ayesh
CLL
KELM
43
0
0
16 Feb 2025
Hierarchically Gated Experts for Efficient Online Continual Learning
Hierarchically Gated Experts for Efficient Online Continual Learning
Kevin Luong
Michael Thielscher
CLL
OffRL
31
0
0
22 Dec 2024
Integrating Dual Prototypes for Task-Wise Adaption in Pre-Trained Model-Based Class-Incremental Learning
Integrating Dual Prototypes for Task-Wise Adaption in Pre-Trained Model-Based Class-Incremental Learning
Zhiming Xu
Steve Yang
Baile Xu
Jian Zhao
Furao Shen
CLL
93
0
0
26 Nov 2024
Soft-TransFormers for Continual Learning
Soft-TransFormers for Continual Learning
Haeyong Kang
Chang D. Yoo
CLL
93
0
0
25 Nov 2024
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning
  with Pre-Trained Models
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models
Linglan Zhao
Xuerui Zhang
K. Yan
Shouhong Ding
Weiran Huang
CLL
47
2
0
04 Nov 2024
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced
  Continual Large Models
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced Continual Large Models
Jiao Chen
Jiayi He
Fangfang Chen
Zuohong Lv
Jianhua Tang
Weihua Li
Zuozhu Liu
Howard H. Yang
Guangjie Han
AI4CE
41
1
0
02 Sep 2024
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion
Achref Jaziri
Etienne Kunzel
Visvanathan Ramesh
CLL
58
0
0
19 Aug 2024
An Effective Dynamic Gradient Calibration Method for Continual Learning
An Effective Dynamic Gradient Calibration Method for Continual Learning
Weichen Lin
Jiaxiang Chen
Ru Huang
Huihua Ding
CLL
46
0
0
30 Jul 2024
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations
Yupei Yang
Erdun Gao
Fan Feng
Xinyue Wang
Shikui Tu
Lei Xu
CML
OOD
TTA
43
1
0
30 Jul 2024
Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU
  Reconfiguration
Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration
Tianyu Wang
Sheng Li
Bingyao Li
Yuezhen Dai
Ao Li
Geng Yuan
Yufei Ding
Youtao Zhang
Xulong Tang
40
0
0
18 Jul 2024
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
Qifan Zhang
Yunhui Guo
Yu Xiang
CLL
VLM
60
0
0
18 Jul 2024
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for
  Few-Shot Class-Incremental Learning
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning
Xiaojie Li
Yibo Yang
Jianlong Wu
Guohao Li
Liqiang Nie
Min Zhang
Mamba
43
5
0
08 Jul 2024
OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental
  Learning
OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning
Wenjun Miao
Guansong Pang
Trong-Tung Nguyen
Ruohang Fang
Jin Zheng
Xiao Bai
OODD
42
1
0
08 Jul 2024
PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision
  Transformer
PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer
Qian Feng
Hanbin Zhao
Chao Zhang
Jiahua Dong
Henghui Ding
Yu-Gang Jiang
Hui Qian
VLM
44
3
0
04 Jul 2024
Forget but Recall: Incremental Latent Rectification in Continual
  Learning
Forget but Recall: Incremental Latent Rectification in Continual Learning
Nghia D. Nguyen
Hieu Trung Nguyen
Ang Li
H. Pham
Viet Anh Nguyen
Khoa D. Doan
CLL
53
0
0
25 Jun 2024
Exploring Test-Time Adaptation for Object Detection in Continually
  Changing Environments
Exploring Test-Time Adaptation for Object Detection in Continually Changing Environments
Shilei Cao
Yan Liu
Juepeng Zheng
Weijia Li
Runmin Dong
Haohuan Fu
TTA
OOD
59
1
0
24 Jun 2024
HPE-CogVLM: New Head Pose Grounding Task Exploration on Vision Language
  Model
HPE-CogVLM: New Head Pose Grounding Task Exploration on Vision Language Model
Yu Tian
Tianqi Shao
Tsukasa Demizu
Xuyang Wu
Hsin-Tai Wu
31
0
0
04 Jun 2024
Confidence-Based Task Prediction in Continual Disease Classification
  Using Probability Distribution
Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distribution
Tanvi Verma
Lukas Schwemer
Mingrui Tan
Fei Gao
Yong Liu
Huazhu Fu
OOD
32
1
0
03 Jun 2024
Cyclical Weight Consolidation: Towards Solving Catastrophic Forgetting
  in Serial Federated Learning
Cyclical Weight Consolidation: Towards Solving Catastrophic Forgetting in Serial Federated Learning
Haoyue Song
Jiacheng Wang
Liansheng Wang
24
0
0
17 May 2024
Overcoming Catastrophic Forgetting by Exemplar Selection in
  Task-oriented Dialogue System
Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System
Chen Chen
Ruizhe Li
Yuchen Hu
Yuanyuan Chen
Chengwei Qin
Qiang Zhang
CLL
46
2
0
16 May 2024
Densely Distilling Cumulative Knowledge for Continual Learning
Densely Distilling Cumulative Knowledge for Continual Learning
Zenglin Shi
Pei Liu
Tong Su
Yunpeng Wu
Kuien Liu
Yu Song
Meng Wang
CLL
47
0
0
16 May 2024
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental
  Deep Neural Networks
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks
Ashutosh Kumar
Sonali Agarwal
D. J. Hemanth
45
0
0
11 May 2024
Continual Learning in the Presence of Repetition
Continual Learning in the Presence of Repetition
Hamed Hemati
Lorenzo Pellegrini
Xiaotian Duan
Zixuan Zhao
Fangfang Xia
...
Shiji Zhao
Shao-Yuan Li
Sheng-Jun Huang
Vincenzo Lomonaco
Gido M. van de Ven
CLL
43
2
0
07 May 2024
Defense without Forgetting: Continual Adversarial Defense with
  Anisotropic & Isotropic Pseudo Replay
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay
Yuhang Zhou
Zhongyun Hua
AAML
CLL
43
3
0
02 Apr 2024
Regularization-Based Efficient Continual Learning in Deep State-Space
  Models
Regularization-Based Efficient Continual Learning in Deep State-Space Models
Yuanhang Zhang
Zhidi Lin
Yiyong Sun
Feng Yin
Carsten Fritsche
CLL
26
2
0
15 Mar 2024
Gradient Correlation Subspace Learning against Catastrophic Forgetting
Gradient Correlation Subspace Learning against Catastrophic Forgetting
Tammuz Dubnov
Vishal Thengane
CLL
19
0
0
04 Mar 2024
Mitigating Catastrophic Forgetting in Large Language Models with
  Self-Synthesized Rehearsal
Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal
Jianheng Huang
Leyang Cui
Ante Wang
Chengyi Yang
Xinting Liao
Linfeng Song
Junfeng Yao
Jinsong Su
KELM
CLL
39
35
0
02 Mar 2024
HOP to the Next Tasks and Domains for Continual Learning in NLP
HOP to the Next Tasks and Domains for Continual Learning in NLP
Umberto Michieli
Mete Ozay
VLM
44
2
0
28 Feb 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
57
5
0
09 Feb 2024
Towards Continual Learning Desiderata via HSIC-Bottleneck
  Orthogonalization and Equiangular Embedding
Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding
Depeng Li
Tianqi Wang
Junwei Chen
Qining Ren
Kenji Kawaguchi
Zhigang Zeng
CLL
51
6
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
22
5
0
17 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
42
9
0
11 Jan 2024
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
CLL
DRL
23
0
0
21 Dec 2023
Bayesian Transfer Learning
Bayesian Transfer Learning
Piotr M. Suder
Jason Xu
David B. Dunson
41
5
0
20 Dec 2023
Continual Learning: Forget-free Winning Subnetworks for Video
  Representations
Continual Learning: Forget-free Winning Subnetworks for Video Representations
Haeyong Kang
Jaehong Yoon
Sung Ju Hwang
Chang D. Yoo
CLL
44
2
0
19 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
62
23
0
16 Dec 2023
Class-Prototype Conditional Diffusion Model with Gradient Projection for
  Continual Learning
Class-Prototype Conditional Diffusion Model with Gradient Projection for Continual Learning
Khanh Doan
Quyen Tran
Tung Lam Tran
Tuan Nguyen
Dinh Q. Phung
Trung Le
DiffM
23
2
0
10 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
34
3
0
10 Dec 2023
Benchmarking Continual Learning from Cognitive Perspectives
Benchmarking Continual Learning from Cognitive Perspectives
Xiaoqian Liu
Junge Zhang
Mingyi Zhang
Peipei Yang
21
0
0
06 Dec 2023
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