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1805.08289
Cited By
Measuring and regularizing networks in function space
21 May 2018
Ari S. Benjamin
David Rolnick
Konrad Paul Kording
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Papers citing
"Measuring and regularizing networks in function space"
50 / 83 papers shown
Title
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NCAdapt: Dynamic adaptation with domain-specific Neural Cellular Automata for continual hippocampus segmentation
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John Kalkhof
Anirban Mukhopadhyay
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30 Oct 2024
Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning
Lei Liu
Li Liu
Yawen Cui
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27 Aug 2024
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method
Kishaan Jeeveswaran
Elahe Arani
Bahram Zonooz
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Provable Contrastive Continual Learning
Yichen Wen
Zhiquan Tan
Kaipeng Zheng
Chuanlong Xie
Weiran Huang
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29 May 2024
Scalable Optimization in the Modular Norm
Tim Large
Yang Liu
Minyoung Huh
Hyojin Bahng
Phillip Isola
Jeremy Bernstein
36
12
0
23 May 2024
Continual Forgetting for Pre-trained Vision Models
Hongbo Zhao
Bolin Ni
Haochen Wang
Junsong Fan
Fei Zhu
Yuxi Wang
Yuntao Chen
Gaofeng Meng
Zhaoxiang Zhang
MU
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61
11
0
18 Mar 2024
Function-space Parameterization of Neural Networks for Sequential Learning
Aidan Scannell
Riccardo Mereu
Paul E. Chang
Ella Tamir
J. Pajarinen
Arno Solin
BDL
29
5
0
16 Mar 2024
Continual Learning and Catastrophic Forgetting
Gido M. van de Ven
Nicholas Soures
Dhireesha Kudithipudi
21
46
0
08 Mar 2024
GUIDE: Guidance-based Incremental Learning with Diffusion Models
Bartosz Cywiñski
Kamil Deja
Tomasz Trzciñski
Bartlomiej Twardowski
Lukasz Kuciñski
DiffM
36
3
0
06 Mar 2024
Generalizable Two-Branch Framework for Image Class-Incremental Learning
Chao Wu
Xiaobin Chang
Ruixuan Wang
CLL
15
2
0
28 Feb 2024
Continual Learning via Sequential Function-Space Variational Inference
Tim G. J. Rudner
Freddie Bickford-Smith
Qixuan Feng
Yee Whye Teh
Y. Gal
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37
0
28 Dec 2023
Tractable Function-Space Variational Inference in Bayesian Neural Networks
Tim G. J. Rudner
Zonghao Chen
Yee Whye Teh
Y. Gal
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28 Dec 2023
Function-Space Regularization in Neural Networks: A Probabilistic Perspective
Tim G. J. Rudner
Sanyam Kapoor
Shikai Qiu
A. Wilson
24
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0
28 Dec 2023
Wake-Sleep Consolidated Learning
Amelia Sorrenti
Giovanni Bellitto
Federica Proietto Salanitri
M. Pennisi
S. Palazzo
C. Spampinato
CLL
33
0
0
06 Dec 2023
Leveraging Function Space Aggregation for Federated Learning at Scale
Nikita Dhawan
Nicole Mitchell
Zachary B. Charles
Zachary Garrett
Gintare Karolina Dziugaite
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10
3
0
17 Nov 2023
Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks
Rouzbeh Meshkinnejad
Jie Mei
Daniel Lizotte
Y. Mohsenzadeh
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31
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0
02 Nov 2023
NPCL: Neural Processes for Uncertainty-Aware Continual Learning
Saurav Jha
Dong Gong
He Zhao
Lina Yao
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27
12
0
30 Oct 2023
Prior-Free Continual Learning with Unlabeled Data in the Wild
Tao Zhuo
Zhiyong Cheng
Hehe Fan
Mohan S. Kankanhalli
VLM
CLL
31
2
0
16 Oct 2023
Revisiting Softmax Masking: Stop Gradient for Enhancing Stability in Replay-based Continual Learning
Hoyong Kim
M. Kwon
Kangil Kim
CLL
19
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0
26 Sep 2023
Exemplar-Free Continual Transformer with Convolutions
Anurag Roy
Vinay K. Verma
Sravan Voonna
Kripabandhu Ghosh
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Abir Das
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BDL
15
10
0
22 Aug 2023
Audio-Visual Class-Incremental Learning
Weiguo Pian
Shentong Mo
Yunhui Guo
Yapeng Tian
CLL
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20
27
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21 Aug 2023
CLR: Channel-wise Lightweight Reprogramming for Continual Learning
Yunhao Ge
Yuecheng Li
Shuo Ni
Jiaping Zhao
Ming Yang
Laurent Itti
CLL
17
11
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21 Jul 2023
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired Continual Learning
Mustafa Burak Gurbuz
J. M. Moorman
Constantinos Dovrolis
CLL
18
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0
29 May 2023
Batch Model Consolidation: A Multi-Task Model Consolidation Framework
Iordanis Fostiropoulos
Jiaye Zhu
Laurent Itti
MoMe
CLL
19
3
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25 May 2023
Lightweight Learner for Shared Knowledge Lifelong Learning
Yunhao Ge
Yuecheng Li
Di Wu
Ao Xu
Adam M. Jones
...
Gozde Sahin
Shuo Ni
Kiran Lekkala
S. Sontakke
Laurent Itti
CLL
16
10
0
24 May 2023
HARD: Hard Augmentations for Robust Distillation
Arne F. Nix
Max F. Burg
Fabian H. Sinz
AAML
20
1
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24 May 2023
Enhancing Accuracy and Robustness through Adversarial Training in Class Incremental Continual Learning
Minchan Kwon
Kangil Kim
AAML
11
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0
23 May 2023
Continual Learning with Strong Experience Replay
Tao Zhuo
Zhiyong Cheng
Zan Gao
Hehe Fan
Mohan S. Kankanhalli
CLL
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29
2
0
23 May 2023
A Scalable Walsh-Hadamard Regularizer to Overcome the Low-degree Spectral Bias of Neural Networks
Ali Gorji
Andisheh Amrollahi
A. Krause
8
4
0
16 May 2023
A baseline on continual learning methods for video action recognition
Giulia Castagnolo
C. Spampinato
Francesco Rundo
Daniela Giordano
S. Palazzo
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14
2
0
20 Apr 2023
Does Continual Learning Equally Forget All Parameters?
Haiyan Zhao
Tianyi Zhou
Guodong Long
Jing Jiang
Chengqi Zhang
CLL
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22
13
0
09 Apr 2023
Exploring Data Geometry for Continual Learning
Zhi Gao
C. Xu
Feng Li
Yunde Jia
Mehrtash Harandi
Yuwei Wu
CLL
21
9
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08 Apr 2023
Preserving Linear Separability in Continual Learning by Backward Feature Projection
Qiao Gu
Dongsub Shim
Florian Shkurti
CLL
KELM
13
10
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26 Mar 2023
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning
Zhuowei Li
Long Zhao
Zizhao Zhang
Han Zhang
Diya Liu
Ting Liu
Dimitris N. Metaxas
CLL
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24
19
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16 Mar 2023
Task-Aware Information Routing from Common Representation Space in Lifelong Learning
Prashant Bhat
Bahram Zonooz
Elahe Arani
CLL
13
24
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14 Feb 2023
Efficient Parametric Approximations of Neural Network Function Space Distance
Nikita Dhawan
Sicong Huang
Juhan Bae
Roger C. Grosse
12
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07 Feb 2023
On Sequential Bayesian Inference for Continual Learning
Samuel Kessler
Adam D. Cobb
Tim G. J. Rudner
S. Zohren
Stephen J. Roberts
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56
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04 Jan 2023
The Effectiveness of World Models for Continual Reinforcement Learning
Samuel Kessler
M. Ostaszewski
Michal Bortkiewicz
M. Żarski
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Jack Parker-Holder
Stephen J. Roberts
Piotr Milo's
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OffRL
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17
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Progressive Learning without Forgetting
Tao Feng
Hangjie Yuan
Mang Wang
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Ang Bian
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Exemplar-free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation
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Fei Yang
C. Cusano
Andrew D. Bagdanov
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22
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22 Nov 2022
Bridging the Gap Between Target Networks and Functional Regularization
Alexandre Piché
Valentin Thomas
Joseph Marino
Rafael Pardiñas
Gian Maria Marconi
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21 Oct 2022
Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning
Yejia Liu
Wang Zhu
Shaolei Ren
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On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
Lorenzo Bonicelli
Matteo Boschini
Angelo Porrello
C. Spampinato
Simone Calderara
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12 Oct 2022
SparCL: Sparse Continual Learning on the Edge
Zifeng Wang
Zheng Zhan
Yifan Gong
Geng Yuan
Wei Niu
T. Jian
Bin Ren
Stratis Ioannidis
Yanzhi Wang
Jennifer Dy
CLL
55
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20 Sep 2022
Class-Incremental Learning via Knowledge Amalgamation
Marcus Vinícius de Carvalho
Mahardhika Pratama
Jie Zhang
Yajuan San
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Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement Learning for Sequential Object Manipulation Tasks with Sparse Rewards
Yongle Luo
Yuxin Wang
Kun Dong
Q. Zhang
Erkang Cheng
Zhiyong Sun
Bo Song
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01 Aug 2022
Online Continual Learning with Contrastive Vision Transformer
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Liu Liu
Yajing Kong
Jiaxian Guo
Dacheng Tao
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How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
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Eric Eaton
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15 Jul 2022
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