Measuring and regularizing networks in function space

21 May 2018

Papers citing "Measuring and regularizing networks in function space"

50 / 83 papers shown

Title
Self-Controlled Dynamic Expansion Model for Continual Learning RunQing Wu KaiHui Huang HanYi Zhang Fei Ye CLL VLM 42 0 0 14 Apr 2025
PVBF: A Framework for Mitigating Parameter Variation Imbalance in Online Continual Learning Zelin Tao Hao Deng Mingqing Liu Lijun Zhang Shengjie Zhao CLL 65 0 0 25 Feb 2025
NCAdapt: Dynamic adaptation with domain-specific Neural Cellular Automata for continual hippocampus segmentation Amin Ranem John Kalkhof Anirban Mukhopadhyay 28 0 0 30 Oct 2024
Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning Lei Liu Li Liu Yawen Cui CLL 25 0 0 27 Aug 2024
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method Kishaan Jeeveswaran Elahe Arani Bahram Zonooz CLL 39 3 0 23 Jun 2024
Provable Contrastive Continual Learning Yichen Wen Zhiquan Tan Kaipeng Zheng Chuanlong Xie Weiran Huang CLL 32 4 0 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 VLM 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 8 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 70 39 0 28 Dec 2023
Function-Space Regularization in Neural Networks: A Probabilistic Perspective Tim G. J. Rudner Sanyam Kapoor Shikai Qiu A. Wilson 24 12 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 FedML 10 3 0 17 Nov 2023
Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks Rouzbeh Meshkinnejad Jie Mei Daniel Lizotte Y. Mohsenzadeh SSL CLL 31 3 0 02 Nov 2023
NPCL: Neural Processes for Uncertainty-Aware Continual Learning Saurav Jha Dong Gong He Zhao Lina Yao CLL BDL 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 0 0 26 Sep 2023
Exemplar-Free Continual Transformer with Convolutions Anurag Roy Vinay K. Verma Sravan Voonna Kripabandhu Ghosh Saptarshi Ghosh Abir Das CLL BDL 15 10 0 22 Aug 2023
Audio-Visual Class-Incremental Learning Weiguo Pian Shentong Mo Yunhui Guo Yapeng Tian CLL VLM 20 27 0 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 0 21 Jul 2023
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired Continual Learning Mustafa Burak Gurbuz J. M. Moorman Constantinos Dovrolis CLL 18 0 0 29 May 2023
Batch Model Consolidation: A Multi-Task Model Consolidation Framework Iordanis Fostiropoulos Jiaye Zhu Laurent Itti MoMe CLL 19 3 0 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 0 24 May 2023
Enhancing Accuracy and Robustness through Adversarial Training in Class Incremental Continual Learning Minchan Kwon Kangil Kim AAML 11 0 0 23 May 2023
Continual Learning with Strong Experience Replay Tao Zhuo Zhiyong Cheng Zan Gao Hehe Fan Mohan S. Kankanhalli CLL VLM 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 CLL 14 2 0 20 Apr 2023
Does Continual Learning Equally Forget All Parameters? Haiyan Zhao Tianyi Zhou Guodong Long Jing Jiang Chengqi Zhang CLL KELM 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 0 08 Apr 2023
Preserving Linear Separability in Continual Learning by Backward Feature Projection Qiao Gu Dongsub Shim Florian Shkurti CLL KELM 13 10 0 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 VLM 24 19 0 16 Mar 2023
Task-Aware Information Routing from Common Representation Space in Lifelong Learning Prashant Bhat Bahram Zonooz Elahe Arani CLL 13 24 0 14 Feb 2023
Efficient Parametric Approximations of Neural Network Function Space Distance Nikita Dhawan Sicong Huang Juhan Bae Roger C. Grosse 12 5 0 07 Feb 2023
On Sequential Bayesian Inference for Continual Learning Samuel Kessler Adam D. Cobb Tim G. J. Rudner S. Zohren Stephen J. Roberts CLL BDL 56 5 0 04 Jan 2023
The Effectiveness of World Models for Continual Reinforcement Learning Samuel Kessler M. Ostaszewski Michal Bortkiewicz M. Żarski Maciej Wołczyk Jack Parker-Holder Stephen J. Roberts Piotr Milo's KELM OffRL CLL 17 7 0 29 Nov 2022
Progressive Learning without Forgetting Tao Feng Hangjie Yuan Mang Wang Ziyuan Huang Ang Bian Jianzhou Zhang CLL KELM 37 4 0 28 Nov 2022
Exemplar-free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation Marco Cotogni Fei Yang C. Cusano Andrew D. Bagdanov Joost van de Weijer CLL 22 0 0 22 Nov 2022
Bridging the Gap Between Target Networks and Functional Regularization Alexandre Piché Valentin Thomas Joseph Marino Rafael Pardiñas Gian Maria Marconi C. Pal Mohammad Emtiyaz Khan 9 1 0 21 Oct 2022
Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning Yejia Liu Wang Zhu Shaolei Ren CLL 17 3 0 16 Oct 2022
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning Lorenzo Bonicelli Matteo Boschini Angelo Porrello C. Spampinato Simone Calderara CLL 10 44 0 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 59 0 20 Sep 2022
Class-Incremental Learning via Knowledge Amalgamation Marcus Vinícius de Carvalho Mahardhika Pratama Jie Zhang Yajuan San CLL 11 7 0 05 Sep 2022
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 12 18 0 01 Aug 2022
Online Continual Learning with Contrastive Vision Transformer Zhen Wang Liu Liu Yajing Kong Jiaxian Guo Dacheng Tao CLL 18 29 0 24 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 19 27 0 15 Jul 2022