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Progressive Neural Networks
v1v2v3v4 (latest)

Progressive Neural Networks

15 June 2016
Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
J. Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
R. Hadsell
    CLLAI4CE
ArXiv (abs)PDFHTML

Papers citing "Progressive Neural Networks"

50 / 1,517 papers shown
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models
Lukas Thede
Karsten Roth
Olivier J. Hénaff
Matthias Bethge
Zeynep Akata
CLL
338
6
0
13 Jun 2024
CCSI: Continual Class-Specific Impression for Data-free Class
  Incremental Learning
CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning
Sana Ayromlou
Teresa S. M. Tsang
Purang Abolmaesumi
Xiaoxiao Li
CLL
243
7
0
09 Jun 2024
Data-Free Generative Replay for Class-Incremental Learning on Imbalanced
  Data
Data-Free Generative Replay for Class-Incremental Learning on Imbalanced Data
Sohaib Younis
Bernhard Seeger
227
0
0
07 Jun 2024
CLoG: Benchmarking Continual Learning of Image Generation Models
CLoG: Benchmarking Continual Learning of Image Generation Models
Haotian Zhang
Junting Zhou
Haowei Lin
Hang Ye
Jianhua Zhu
Zihao Wang
Liangcai Gao
Yizhou Wang
Yitao Liang
DiffMVLM
167
4
0
07 Jun 2024
Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All
  You Need
Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All You Need
Martin Wistuba
Prabhu Teja Sivaprasad
Lukas Balles
Giovanni Zappella
249
3
0
05 Jun 2024
Continual Traffic Forecasting via Mixture of Experts
Continual Traffic Forecasting via Mixture of Experts
Sanghyun Lee
Chanyoung Park
CLL
252
6
0
05 Jun 2024
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning
  for Video Data Drift
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning for Video Data Drift
Peng Zhao
Runchu Dong
Guiqin Wang
Cong Zhao
275
2
0
05 Jun 2024
Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene
  Classification
Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification
M. A. Ma'sum
Mahardhika Pratama
Ramasamy Savitha
Lin Liu
Habibullah Habibullah
Ryszard Kowalczyk
CLL
295
3
0
04 Jun 2024
Multi-Agent Transfer Learning via Temporal Contrastive Learning
Multi-Agent Transfer Learning via Temporal Contrastive Learning
Weihao Zeng
Joseph Campbell
Simon Stepputtis
Katia Sycara
OffRL
249
2
0
03 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
281
1
0
03 Jun 2024
Disentangling and Mitigating the Impact of Task Similarity for Continual
  Learning
Disentangling and Mitigating the Impact of Task Similarity for Continual Learning
Naoki Hiratani
CLL
313
6
0
30 May 2024
Distribution Aligned Semantics Adaption for Lifelong Person Re-Identification
Distribution Aligned Semantics Adaption for Lifelong Person Re-Identification
Qizao Wang
Xuelin Qian
Bin Li
Xiangyang Xue
336
4
0
30 May 2024
Statistical Context Detection for Deep Lifelong Reinforcement Learning
Statistical Context Detection for Deep Lifelong Reinforcement Learning
Jeffery Dick
Saptarshi Nath
Christos Peridis
Eseoghene Ben-Iwhiwhu
Soheil Kolouri
Andrea Soltoggio
OffRL
256
3
0
29 May 2024
Auto-selected Knowledge Adapters for Lifelong Person Re-identification
Auto-selected Knowledge Adapters for Lifelong Person Re-identification
Xuelin Qian
Ruiqi Wu
Gong Cheng
Junwei Han
CLL
241
3
0
29 May 2024
Feasibility and benefits of joint learning from MRI databases with
  different brain diseases and modalities for segmentation
Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation
Wentian Xu
Matthew Moffat
Thalia Seale
Ziyun Liang
Felix Wagner
...
David Menon
Virginia Newcombe
Natalie Voets
Abhirup Banerjee
Konstantinos Kamnitsas
241
10
0
28 May 2024
A Classifier-Free Incremental Learning Framework for Scalable Medical
  Image Segmentation
A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation
Xiaoyang Chen
Hao Zheng
Yifang Xie
Yuncong Ma
Tengfei Li
CLL
213
1
0
25 May 2024
U-TELL: Unsupervised Task Expert Lifelong Learning
U-TELL: Unsupervised Task Expert Lifelong LearningInternational Conference on Information Photonics (ICIP), 2024
Indu Solomon
Aye Phyu Phyu Aung
Uttam Kumar
Senthilnath Jayavelu
CLL
202
3
0
23 May 2024
Mitigating Interference in the Knowledge Continuum through
  Attention-Guided Incremental Learning
Mitigating Interference in the Knowledge Continuum through Attention-Guided Incremental Learning
Prashant Shivaram Bhat
Bharath Renjith
Elahe Arani
Bahram Zonooz
CLL
230
2
0
22 May 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
200
1
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 SystemAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Chen Chen
Ruizhe Li
Yuchen Hu
Yuanyuan Chen
Chengwei Qin
Qiang Zhang
CLL
242
4
0
16 May 2024
Towards Realistic Incremental Scenario in Class Incremental Semantic
  Segmentation
Towards Realistic Incremental Scenario in Class Incremental Semantic Segmentation
Jihwan Kwak
Sungmin Cha
Taesup Moon
CLL
308
0
0
16 May 2024
MGSER-SAM: Memory-Guided Soft Experience Replay with Sharpness-Aware
  Optimization for Enhanced Continual Learning
MGSER-SAM: Memory-Guided Soft Experience Replay with Sharpness-Aware Optimization for Enhanced Continual LearningIEEE International Joint Conference on Neural Network (IJCNN), 2024
Xingyu Li
Bo Tang
VLMCLL
170
0
0
15 May 2024
Cross-Domain Continual Learning via CLAMP
Cross-Domain Continual Learning via CLAMP
Weiwei Weng
Mahardhika Pratama
Jie Zhang
Chen Chen
E. Yapp
Savitha Ramasamy
196
4
0
12 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
233
0
0
11 May 2024
Towards Continual Knowledge Graph Embedding via Incremental Distillation
Towards Continual Knowledge Graph Embedding via Incremental Distillation
Jiajun Liu
Wenjun Ke
Peng Wang
Ziyu Shang
Jinhua Gao
Guozheng Li
Ke Ji
Yanhe Liu
CLL
167
39
0
07 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
270
6
0
07 May 2024
COPAL: Continual Pruning in Large Language Generative Models
COPAL: Continual Pruning in Large Language Generative ModelsInternational Conference on Machine Learning (ICML), 2024
Srikanth Malla
Joon Hee Choi
Chiho Choi
VLMCLL
198
6
0
02 May 2024
Continual Model-based Reinforcement Learning for Data Efficient Wireless
  Network Optimisation
Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation
Cengis Hasan
David Lynch
Alexandros Agapitos
Alberto Castagna
Giorgio Cruciata
Hao Wang
Aleksandar Milenovic
219
1
0
30 Apr 2024
Integrating Present and Past in Unsupervised Continual Learning
Integrating Present and Past in Unsupervised Continual Learning
Yipeng Zhang
Laurent Charlin
R. Zemel
Mengye Ren
CLL
227
6
0
29 Apr 2024
Prompt Customization for Continual Learning
Prompt Customization for Continual Learning
Yong Dai
Xiaopeng Hong
Yabin Wang
Zhiheng Ma
Shihong Deng
Yaowei Wang
226
5
0
28 Apr 2024
Continual Learning of Large Language Models: A Comprehensive Survey
Continual Learning of Large Language Models: A Comprehensive Survey
Haizhou Shi
Zihao Xu
Hengyi Wang
Weiyi Qin
Wenyuan Wang
Yibin Wang
Zifeng Wang
Sayna Ebrahimi
Hao Wang
CLLKELMLRM
395
157
0
25 Apr 2024
Distilling Privileged Information for Dubins Traveling Salesman Problems
  with Neighborhoods
Distilling Privileged Information for Dubins Traveling Salesman Problems with Neighborhoods
M. Shin
Su-Jeong Park
Seung-Keol Ryu
Heeyeon Kim
Han-Lim Choi
278
1
0
25 Apr 2024
Benchmarking Mobile Device Control Agents across Diverse Configurations
Benchmarking Mobile Device Control Agents across Diverse Configurations
Juyong Lee
Taywon Min
Minyong An
Dongyoon Hahm
Kimin Lee
Changyeon Kim
Kimin Lee
360
30
0
25 Apr 2024
Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language
  Learning
Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning
Yanhui Guo
Shaoyuan Xu
Jinmiao Fu
Jia-Wei Liu
Chaosheng Dong
Bryan Wang
VLMCLL
198
11
0
22 Apr 2024
Brain-Inspired Continual Learning-Robust Feature Distillation and
  Re-Consolidation for Class Incremental Learning
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
Hikmat Khan
N. Bouaynaya
Ghulam Rasool
CLL
267
1
0
22 Apr 2024
I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class
  Significance Analysis for Non-Exemplar Online Task-Free Continual Learning
I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning
Songlin Dong
Yingjie Chen
Yuhang He
Yuhan Jin
Alex C. Kot
Yihong Gong
CLL
228
1
0
21 Apr 2024
Adaptive Memory Replay for Continual Learning
Adaptive Memory Replay for Continual Learning
James Seale Smith
Lazar Valkov
Shaunak Halbe
V. Gutta
Rogerio Feris
Z. Kira
Leonid Karlinsky
204
17
0
18 Apr 2024
Scalable Language Model with Generalized Continual Learning
Scalable Language Model with Generalized Continual Learning
Bohao Peng
Zhuotao Tian
Shu Liu
Mingchang Yang
Jiaya Jia
ALMCLLKELM
182
31
0
11 Apr 2024
Transferable and Principled Efficiency for Open-Vocabulary Segmentation
Transferable and Principled Efficiency for Open-Vocabulary Segmentation
Jingxuan Xu
Wuyang Chen
Yao-Min Zhao
Yunchao Wei
VLM
265
1
0
11 Apr 2024
Toward industrial use of continual learning : new metrics proposal for
  class incremental learning
Toward industrial use of continual learning : new metrics proposal for class incremental learningIEEE International Joint Conference on Neural Network (IJCNN), 2023
Mohamed Abbas Konaté
A. Yao
Thierry Chateau
P. Bouges
CLL
168
0
0
10 Apr 2024
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark
Multi-Label Continual Learning for the Medical Domain: A Novel BenchmarkIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Marina Ceccon
Davide Dalle Pezze
Alessandro Fabris
Gian Antonio Susto
CLL
270
7
0
10 Apr 2024
Fairness Evolution in Continual Learning for Medical Imaging
Fairness Evolution in Continual Learning for Medical Imaging
Marina Ceccon
Davide Dalle Pezze
Alessandro Fabris
Gian Antonio Susto
OOD
464
1
0
10 Apr 2024
Continual Learning with Weight Interpolation
Continual Learning with Weight Interpolation
Jkedrzej Kozal
Jan Wasilewski
Bartosz Krawczyk
Michal Wo'zniak
CLLMoMe
451
9
0
05 Apr 2024
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual
  Learning
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning
Mohamed Elsayed
A. Rupam Mahmood
CLL
355
36
0
31 Mar 2024
Continual Learning for Autonomous Robots: A Prototype-based Approach
Continual Learning for Autonomous Robots: A Prototype-based Approach
Elvin Hajizada
Balachandran Swaminathan
Yulia Sandamirskaya
CLL
318
9
0
30 Mar 2024
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
Yan-Shuo Liang
Wu-Jun Li
CLL
427
117
0
30 Mar 2024
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with
  Visual Prompt Tuning
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning
Beomyoung Kim
Joonsang Yu
Sung Ju Hwang
VLMCLL
283
27
0
29 Mar 2024
Recommendation of data-free class-incremental learning algorithms by
  simulating future data
Recommendation of data-free class-incremental learning algorithms by simulating future data
Eva Feillet
Adrian Daniel Popescu
C´eline Hudelot
272
0
0
26 Mar 2024
Enhancing Visual Continual Learning with Language-Guided Supervision
Enhancing Visual Continual Learning with Language-Guided Supervision
Bolin Ni
Hongbo Zhao
Chenghao Zhang
Ke Hu
Gaofeng Meng
Zhaoxiang Zhang
Shiming Xiang
CLLVLM
306
11
0
24 Mar 2024
Collaborative AI Teaming in Unknown Environments via Active Goal
  Deduction
Collaborative AI Teaming in Unknown Environments via Active Goal Deduction
Zuyuan Zhang
Hanhan Zhou
Mahdi Imani
Taeyoung Lee
Tian-Shing Lan
206
11
0
22 Mar 2024
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