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1606.04671
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Progressive Neural Networks
15 June 2016
Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
J. Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
R. Hadsell
CLL
AI4CE
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Papers citing
"Progressive Neural Networks"
50 / 1,517 papers shown
Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions
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03 Jan 2025
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
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19 Dec 2024
Linked Adapters: Linking Past and Future to Present for Effective Continual Learning
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Chris McCarthy
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14 Dec 2024
RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning
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Sergey Levine
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Class Balance Matters to Active Class-Incremental Learning
ACM Multimedia (MM), 2024
Zitong Huang
Zhaoyu Chen
Yuanze Li
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Erjin Zhou
Y. Liu
Rick Siow Mong Goh
Chun-Mei Feng
W. Zuo
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382
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09 Dec 2024
Directed Structural Adaptation to Overcome Statistical Conflicts and Enable Continual Learning
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Boi Faltings
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On the Effectiveness of Incremental Training of Large Language Models
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Henry X. Liu
333
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Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation
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Niharika Hegde
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René Schuster
Didier Stricker
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379
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26 Nov 2024
Soft-TransFormers for Continual Learning
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Chang D. Yoo
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399
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Anti-Forgetting Adaptation for Unsupervised Person Re-identification
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Hao Chen
Francois Bremond
Nicu Sebe
Shiliang Zhang
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505
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22 Nov 2024
Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks
Indian Conference on Computer Vision, Graphics & Image Processing (ICVGIP), 2024
Sanchar Palit
Biplab Banerjee
S. Chaudhuri
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304
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21 Nov 2024
CLFace: A Scalable and Resource-Efficient Continual Learning Framework for Lifelong Face Recognition
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Md Golam Moula Mehedi Hasan
S. Sami
Nasser M. Nasrabadi
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275
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21 Nov 2024
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Maorong Wang
Nicolas Michel
Jiafeng Mao
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300
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Anan Schütt
Jill-Jênn Vie
Arun-Balajiee Lekshmi-Narayanan
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249
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18 Nov 2024
Continual Task Learning through Adaptive Policy Self-Composition
Shengchao Hu
Yuhang Zhou
Ziqing Fan
Jifeng Hu
Li Shen
Ya Zhang
Dacheng Tao
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412
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18 Nov 2024
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Fuguang Han
Cong Guan
Lei Yuan
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Yang Yu
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323
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16 Nov 2024
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Timothy M. Hansen
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116
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Jesher Joshua
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Natarajan B
FedML
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283
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Decoding Visual Experience and Mapping Semantics through Whole-Brain Analysis Using fMRI Foundation Models
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Tiange Xiang
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Sa Zhou
Adnan Masoud
Shekoofeh Azizi
F. Lin
Ehsan Adeli
210
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11 Nov 2024
Slowing Down Forgetting in Continual Learning
Pascal Janetzky
Tobias Schlagenhauf
Stefan Feuerriegel
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455
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11 Nov 2024
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Hongyu Chen
Bingliang Jiao
Wenxuan Wang
Peng Wang
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287
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09 Nov 2024
Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Xiwen Wei
Guihong Li
R. Marculescu
249
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Learning Morphisms with Gauss-Newton Approximation for Growing Networks
Neal Lawton
Aram Galstyan
Greg Ver Steeg
205
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Wojciech Łapacz
Daniel Marczak
Filip Szatkowski
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418
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142
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252
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528
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165
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217
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22 Oct 2024
Hybrid Memory Replay: Blending Real and Distilled Data for Class Incremental Learning
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280
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CFTS-GAN: Continual Few-Shot Teacher Student for Generative Adversarial Networks
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238
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17 Oct 2024
Novelty-based Sample Reuse for Continuous Robotics Control
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Ke Duan
Kai Yang
Houde Liu
Xueqian Wang
210
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271
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Haolin Wang
Xuefeng Liu
Jianwei Niu
Wenkai Guo
Shaojie Tang
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Continual Learning Improves Zero-Shot Action Recognition
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Davide Moltisanti
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Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
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