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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 / 1,511 papers shown
Title
Merge and Bound: Direct Manipulations on Weights for Class Incremental Learning
Merge and Bound: Direct Manipulations on Weights for Class Incremental Learning
Taehoon Kim
Donghwan Jang
Bohyung Han
CLLMoMe
153
0
0
26 Nov 2025
Prompt-Aware Adaptive Elastic Weight Consolidation for Continual Learning in Medical Vision-Language Models
Prompt-Aware Adaptive Elastic Weight Consolidation for Continual Learning in Medical Vision-Language Models
Ziyuan Gao
Philippe Morel
CLL
112
0
0
25 Nov 2025
Dynamic Mixture of Experts Against Severe Distribution Shifts
Dynamic Mixture of Experts Against Severe Distribution Shifts
Donghu Kim
CLL
104
0
0
24 Nov 2025
Unified Class and Domain Incremental Learning with Mixture of Experts for Indoor Localization
Unified Class and Domain Incremental Learning with Mixture of Experts for Indoor Localization
Akhil Singampalli
S. Pasricha
CLL
208
0
0
21 Nov 2025
InTAct: Interval-based Task Activation Consolidation for Continual Learning
InTAct: Interval-based Task Activation Consolidation for Continual Learning
Patryk Krukowski
Jan Miksa
Piotr Helm
Jacek Tabor
Paweł Wawrzyński
Przemysław Spurek
CLL
200
0
0
21 Nov 2025
MedPEFT-CL: Dual-Phase Parameter-Efficient Continual Learning with Medical Semantic Adapter and Bidirectional Memory Consolidation
MedPEFT-CL: Dual-Phase Parameter-Efficient Continual Learning with Medical Semantic Adapter and Bidirectional Memory Consolidation
Ziyuan Gao
CLLMedIm
137
0
0
21 Nov 2025
Learning from Mistakes: Loss-Aware Memory Enhanced Continual Learning for LiDAR Place Recognition
Learning from Mistakes: Loss-Aware Memory Enhanced Continual Learning for LiDAR Place Recognition
Xufei Wang
Junqiao Zhao
Siyue Tao
Qiwen Gu
Wonbong Kim
T. Feng
CLL
189
0
0
19 Nov 2025
Neuro-Logic Lifelong Learning
Neuro-Logic Lifelong Learning
Bowen He
Xiaoan Xu
Alper Kamil Bozkurt
Vahid Tarokh
Juncheng Dong
CLL
134
0
0
16 Nov 2025
FSC-Net: Fast-Slow Consolidation Networks for Continual Learning
FSC-Net: Fast-Slow Consolidation Networks for Continual Learning
Mohamed El Gorrim
CLL
164
0
0
12 Nov 2025
ExpReS-VLA: Specializing Vision-Language-Action Models Through Experience Replay and Retrieval
ExpReS-VLA: Specializing Vision-Language-Action Models Through Experience Replay and Retrieval
Shahram Najam Syed
Yatharth Ahuja
Arthur Jakobsson
Jeff Ichnowski
VLM
61
1
0
09 Nov 2025
Mixtures of SubExperts for Large Language Continual Learning
Mixtures of SubExperts for Large Language Continual Learning
Haeyong Kang
CLLKELMMoE
167
0
0
09 Nov 2025
ProDER: A Continual Learning Approach for Fault Prediction in Evolving Smart Grids
ProDER: A Continual Learning Approach for Fault Prediction in Evolving Smart Grids
Emad Efatinasab
Nahal Azadi
Davide Dalle Pezze
Gian Antonio Susto
Chuadhry Mujeeb Ahmed
M. Rampazzo
100
0
0
07 Nov 2025
Sharing the Learned Knowledge-base to Estimate Convolutional Filter Parameters for Continual Image Restoration
Sharing the Learned Knowledge-base to Estimate Convolutional Filter Parameters for Continual Image Restoration
Aupendu Kar
Krishnendu Ghosh
P. Biswas
CLLSupR
240
0
0
07 Nov 2025
SCALE: Upscaled Continual Learning of Large Language Models
SCALE: Upscaled Continual Learning of Large Language Models
Jin-woo Lee
Junhwa Choi
Bongkyu Hwang
Jinho Choo
Bogun Kim
...
Joonseok Lee
DongYoung Jung
Jaeseon Park
Kyoungwon Park
Suk-hoon Jung
CLLLRM
326
0
0
05 Nov 2025
Dynamic Routing Between Experts: A Data-Efficient Approach to Continual Learning in Vision-Language Models
Dynamic Routing Between Experts: A Data-Efficient Approach to Continual Learning in Vision-Language Models
Jay Mohta
Kenan E. Ak
Dimitrios Dimitriadis
Yan Xu
Mingwei Shen
CLLVLM
230
0
0
03 Nov 2025
Knowledge-guided Continual Learning for Behavioral Analytics Systems
Knowledge-guided Continual Learning for Behavioral Analytics Systems
Yasas Senarath
Hemant Purohit
KELMCLL
159
0
0
25 Oct 2025
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging
Bowen Wang
Haiyuan Wan
Liwen Shi
Chen Yang
Peng He
...
Tiao Tan
Yongjian Li
Fangming Liu
Yifan Gong
Sheng Zhang
CLLMoMeKELM
171
0
0
23 Oct 2025
Continual Knowledge Adaptation for Reinforcement Learning
Continual Knowledge Adaptation for Reinforcement Learning
Jinwu Hu
Zihao Lian
Z. Wen
Chenghao Li
Guohao Chen
Xutao Wen
Bin Xiao
Mingkui Tan
CLLKELM
152
0
0
22 Oct 2025
COLA: Continual Learning via Autoencoder Retrieval of Adapters
COLA: Continual Learning via Autoencoder Retrieval of Adapters
Jaya Krishna Mandivarapu
CLL
227
0
0
22 Oct 2025
STABLE: Gated Continual Learning for Large Language Models
STABLE: Gated Continual Learning for Large Language Models
William Hoy
Nurcin Celik
KELMCLL
72
0
0
17 Oct 2025
SAMix: Calibrated and Accurate Continual Learning via Sphere-Adaptive Mixup and Neural Collapse
SAMix: Calibrated and Accurate Continual Learning via Sphere-Adaptive Mixup and Neural Collapse
Trung-Anh Dang
Vincent Nguyen
Ngoc-Son Vu
Christel Vrain
AAMLCLL
116
0
0
17 Oct 2025
Towards Error Centric Intelligence I, Beyond Observational Learning
Towards Error Centric Intelligence I, Beyond Observational Learning
Marcus A. Thomas
CML
133
1
0
16 Oct 2025
Continual Learning via Sparse Memory Finetuning
Continual Learning via Sparse Memory Finetuning
Jessy Lin
Luke Zettlemoyer
Gargi Ghosh
Wen-tau Yih
Aram H. Markosyan
Vincent-Pierre Berges
Barlas Oğuz
KELMCLL
112
0
0
16 Oct 2025
Progressive multi-fidelity learning for physical system predictions
Progressive multi-fidelity learning for physical system predictions
Paolo Conti
Mengwu Guo
A. Frangi
Andrea Manzoni
AI4CE
82
0
0
15 Oct 2025
DRL: Discriminative Representation Learning with Parallel Adapters for Class Incremental Learning
DRL: Discriminative Representation Learning with Parallel Adapters for Class Incremental Learning
Jiawei Zhan
Jun Liu
Jinlong Peng
Xiaochen Chen
Bin-Bin Gao
Yong-Jin Liu
Chengjie Wang
CLL
140
0
0
14 Oct 2025
Long Exposure: Accelerating Parameter-Efficient Fine-Tuning for LLMs under Shadowy Sparsity
Long Exposure: Accelerating Parameter-Efficient Fine-Tuning for LLMs under Shadowy SparsityInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2024
Tuowei Wang
Kun Li
Zixu Hao
Donglin Bai
Ju Ren
Yaoxue Zhang
Ting Cao
M. Yang
120
4
0
12 Oct 2025
Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference
Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference
Zichen Wang
Haoyang Hong
Chuanhao Li
Haoxuan Li
Zhiheng Zhang
Huazheng Wang
84
0
0
09 Oct 2025
Using predefined vector systems as latent space configuration for neural network supervised training on data with arbitrarily large number of classes
Using predefined vector systems as latent space configuration for neural network supervised training on data with arbitrarily large number of classes
Nikita Gabdullin
128
2
0
05 Oct 2025
Deep Generative Continual Learning using Functional LoRA: FunLoRA
Deep Generative Continual Learning using Functional LoRA: FunLoRA
Victor Enescu
Hichem Sahbi
184
0
0
03 Oct 2025
Source-Free Cross-Domain Continual Learning
Source-Free Cross-Domain Continual Learning
Muhammad Furqon
Mahardhika Pratama
Igor Skrjanc
Lin Liu
Habibullah Habibullah
K. Doğançay
CLLBDL
162
0
0
02 Oct 2025
REPAIR: Robust Editing via Progressive Adaptive Intervention and Reintegration
REPAIR: Robust Editing via Progressive Adaptive Intervention and Reintegration
Yisu Wang
Ming Wang
Haoyuan Song
Wenjie Huang
Chaozheng Wang
Yi Xie
Xuming Ran
KELMMoMeCLL
104
0
0
02 Oct 2025
Diagnosing Shortcut-Induced Rigidity in Continual Learning: The Einstellung Rigidity Index (ERI)
Diagnosing Shortcut-Induced Rigidity in Continual Learning: The Einstellung Rigidity Index (ERI)
Kai Gu
Weishi Shi
121
0
0
01 Oct 2025
Best of Sim and Real: Decoupled Visuomotor Manipulation via Learning Control in Simulation and Perception in Real
Best of Sim and Real: Decoupled Visuomotor Manipulation via Learning Control in Simulation and Perception in Real
Jialei Huang
Zhaoheng Yin
Yingdong Hu
S. Wang
Xingyu Lin
Yang Gao
60
0
0
30 Sep 2025
A Computational Perspective on NeuroAI and Synthetic Biological Intelligence
A Computational Perspective on NeuroAI and Synthetic Biological Intelligence
Dhruvik Patel
Md Sayed Tanveer
Jesus Gonzalez-Ferrer
Alon Loeffler
Brett J. Kagan
Mohammed A. Mostajo-Radji
Ge Wang
AI4CENAI
98
0
0
28 Sep 2025
Toward a Holistic Approach to Continual Model Merging
Toward a Holistic Approach to Continual Model Merging
Hoang Phan
Sungmin Cha
Tung Lam Tran
Qi Lei
MoMeCLL
154
0
0
28 Sep 2025
Shared-Weights Extender and Gradient Voting for Neural Network Expansion
Shared-Weights Extender and Gradient Voting for Neural Network Expansion
Nikolas Chatzis
I. Kordonis
Manos Theodosis
Petros Maragos
69
0
0
23 Sep 2025
Efficient Reinforcement Learning by Reducing Forgetting with Elephant Activation Functions
Efficient Reinforcement Learning by Reducing Forgetting with Elephant Activation Functions
Qingfeng Lan
Gautham Vasan
A. R. Mahmood
CLL
98
0
0
23 Sep 2025
Cluster Workload Allocation: A Predictive Approach Leveraging Machine Learning Efficiency
Cluster Workload Allocation: A Predictive Approach Leveraging Machine Learning EfficiencyIEEE Access (IEEE Access), 2025
Leszek Sliwko
88
2
0
22 Sep 2025
SPICED: A Synaptic Homeostasis-Inspired Framework for Unsupervised Continual EEG Decoding
SPICED: A Synaptic Homeostasis-Inspired Framework for Unsupervised Continual EEG Decoding
Yangxuan Zhou
Sha Zhao
Jiquan Wang
Haiteng Jiang
Shijian Li
Tao Li
Gang Pan
76
0
0
22 Sep 2025
HAM: Hierarchical Adapter Merging for Scalable Continual Learning
HAM: Hierarchical Adapter Merging for Scalable Continual Learning
Eric Nuertey Coleman
Luigi Quarantiello
Samrat Mukherjee
J. Hurtado
Vincenzo Lomonaco
CLLMoMe
284
1
0
16 Sep 2025
Unbiased Online Curvature Approximation for Regularized Graph Continual Learning
Unbiased Online Curvature Approximation for Regularized Graph Continual Learning
Jie Yin
Ke Sun
Han Wu
CLL
89
0
0
16 Sep 2025
Efficient Single-Step Framework for Incremental Class Learning in Neural Networks
Efficient Single-Step Framework for Incremental Class Learning in Neural Networks
Alejandro Dopico-Castro
O. Fontenla-Romero
Bertha Guijarro-Berdiñas
Amparo Alonso-Betanzos
CLL
101
0
0
14 Sep 2025
Self-Evolving LLMs via Continual Instruction Tuning
Self-Evolving LLMs via Continual Instruction Tuning
Jiazheng Kang
Le Huang
Cheng-An Hou
Zhe Zhao
Zhenxiang Yan
Chuan Shi
CLL
283
0
0
14 Sep 2025
Genesis: A Spiking Neuromorphic Accelerator With On-chip Continual Learning
Genesis: A Spiking Neuromorphic Accelerator With On-chip Continual Learning
Vedant Karia
Abdullah M. Zyarah
Dhireesha Kudithipudi
98
0
0
06 Sep 2025
MyGO: Memory Yielding Generative Offline-consolidation for Lifelong Learning Systems
MyGO: Memory Yielding Generative Offline-consolidation for Lifelong Learning Systems
Shihao Ji
Zihui Song
OffRLCLL
60
0
0
29 Aug 2025
Modular Embedding Recomposition for Incremental Learning
Modular Embedding Recomposition for Incremental Learning
Aniello Panariello
Emanuele Frascaroli
Pietro Buzzega
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
VLM
139
2
0
22 Aug 2025
HiCL: Hippocampal-Inspired Continual Learning
HiCL: Hippocampal-Inspired Continual Learning
Kushal Kapoor
Wyatt Mackey
Yiannis Aloimonos
Xiaomin Lin
CLL
81
0
0
19 Aug 2025
SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding
SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding
Yifei Li
Lingling Zhang
Hang Yan
Tianzhe Zhao
Zihan Ma
Muye Huang
Jun Liu
CLL
72
0
0
15 Aug 2025
Index-Aligned Query Distillation for Transformer-based Incremental Object Detection
Index-Aligned Query Distillation for Transformer-based Incremental Object Detection
Mingxiao Ma
Shunyao Zhu
Guoliang Kang
CLL
56
0
0
15 Aug 2025
Improving Learning of New Diseases through Knowledge-Enhanced Initialization for Federated Adapter Tuning
Improving Learning of New Diseases through Knowledge-Enhanced Initialization for Federated Adapter TuningIEEE Transactions on Medical Imaging (IEEE TMI), 2025
D. Peng
Yuan Wang
Kangning Cai
Peiyan Ning
Jiming Xu
Yong Liu
Rick Siow Mong Goh
Qingsong Wei
Huazhu Fu
FedML
144
0
0
14 Aug 2025
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