Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization

2 February 2018

Papers citing "Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization"

50 / 50 papers shown

Title
The Estimation of Continual Causal Effect for Dataset Shifting Streams Baining Chen Yiming Zhang Yuqiao Han Ruyue Zhang Ruihuan Du Zhishuo Zhou Zhengdan Zhu Xun Liu Jiecheng Guo 179 0 0 29 Apr 2025
Flexible task abstractions emerge in linear networks with fast and bounded units Kai Sandbrink Jan P. Bauer A. Proca Andrew M. Saxe Christopher Summerfield Ali Hummos 63 2 0 17 Jan 2025
More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routing Sagi Shaier Francisco Pereira K. Wense Lawrence E Hunter Matt Jones MoE 46 0 0 10 Oct 2024
Persistent Backdoor Attacks in Continual Learning Zhen Guo Abhinav Kumar R. Tourani AAML 35 3 0 20 Sep 2024
Disentangling and Mitigating the Impact of Task Similarity for Continual Learning Naoki Hiratani CLL 35 2 0 30 May 2024
Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer Rajat Saxena Bruce L. McNaughton CLL 59 2 0 12 May 2024
Nonlinear classification of neural manifolds with contextual information Francesca Mignacco Chi-Ning Chou SueYeon Chung 26 2 0 10 May 2024
Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks Lorenzo Pes Rick Luiken Federico Corradi Charlotte Frenkel 40 5 0 30 Apr 2024
Reconciling Shared versus Context-Specific Information in a Neural Network Model of Latent Causes Qihong Lu Tan Nguyen Qiong Zhang Uri Hasson Thomas Griffiths Jeffrey M. Zacks Samuel Gershman K. A. Norman 38 4 0 13 Dec 2023
Continual Learning through Networks Splitting and Merging with Dreaming-Meta-Weighted Model Fusion Yi Sun Xin Xu Jian Li Guanglei Xie Yifei Shi Qiang Fang CLL MoMe 34 1 0 12 Dec 2023
Continual Learning of Diffusion Models with Generative Distillation Sergi Masip Pau Rodriguez Tinne Tuytelaars Gido M. van de Ven VLM DiffM 36 8 0 23 Nov 2023
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How Timm Hess Tinne Tuytelaars Gido M. van de Ven 44 7 0 08 Nov 2023
Differentiable Weight Masks for Domain Transfer Samarth Khanna Skanda Vaidyanath Akash Velu 34 0 0 26 Aug 2023
Long Sequence Hopfield Memory Hamza Tahir Chaudhry Jacob A. Zavatone-Veth Dmitry Krotov Cengiz Pehlevan 51 18 0 07 Jun 2023
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models Guillermo Ortiz-Jiménez Alessandro Favero P. Frossard MoMe 51 112 0 22 May 2023
Artificial Neuronal Ensembles with Learned Context Dependent Gating M. Tilley Michelle Miller David J. Freedman 29 3 0 17 Jan 2023
Continual task learning in natural and artificial agents Timo Flesch Andrew M. Saxe Christopher Summerfield CLL 43 24 0 10 Oct 2022
Class-Incremental Learning via Knowledge Amalgamation Marcus Vinícius de Carvalho Mahardhika Pratama Jie Zhang Yajuan San CLL 24 8 0 05 Sep 2022
On the Limitations of Continual Learning for Malware Classification Mohammad Saidur Rahman Scott E. Coull M. Wright 34 13 0 13 Aug 2022
Incremental Task Learning with Incremental Rank Updates Rakib Hyder Ken Shao Boyu Hou P. Markopoulos Ashley Prater-Bennette Ulugbek S. Kamilov CLL 16 13 0 19 Jul 2022
DIRA: Dynamic Domain Incremental Regularised Adaptation Abanoub Ghobrial Xu Zheng Darryl Hond Hamid Asgari Kerstin Eder AI4CE 26 1 0 30 Apr 2022
Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals Timo Flesch D. G. Nagy Andrew M. Saxe Christopher Summerfield 34 34 0 22 Mar 2022
Continual learning-based probabilistic slow feature analysis for multimode dynamic process monitoring Jingxin Zhang Donghua Zhou Maoyin Chen Xia Hong 23 14 0 23 Feb 2022
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments A. Iyer Karan Grewal Akash Velu Lucas O. Souza Jérémy Forest Subutai Ahmad AI4CE 35 41 0 31 Dec 2021
Dendritic Self-Organizing Maps for Continual Learning Kosmas Pinitas Spyridon Chavlis Panayiota Poirazi CLL 21 8 0 18 Oct 2021
A good body is all you need: avoiding catastrophic interference via agent architecture search Joshua P. Powers Ryan Grindle Lapo Frati Josh Bongard 17 1 0 18 Aug 2021
Self-learning sparse PCA for multimode process monitoring Jingxin Zhang Donghua Zhou Maoyin Chen 28 16 0 07 Aug 2021
Class-Incremental Learning with Generative Classifiers Gido M. van de Ven Zhe Li A. Tolias BDL 50 58 0 20 Apr 2021
Continual Learning for Blind Image Quality Assessment Weixia Zhang Dingquan Li Chao Ma Guangtao Zhai Xiaokang Yang Kede Ma VLM 24 86 0 19 Feb 2021
Monitoring multimode processes: a modified PCA algorithm with continual learning ability Jingxin Zhang Donghua Zhou Maoyin Chen 22 61 0 13 Dec 2020
BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning Kamil Deja Pawel Wawrzyñski Daniel Marczak Wojciech Masarczyk Tomasz Trzciñski SyDa 16 9 0 25 Nov 2020
Energy-Based Models for Continual Learning Shuang Li Yilun Du Gido M. van de Ven Igor Mordatch 27 42 0 24 Nov 2020
Hybrid Backpropagation Parallel Reservoir Networks Matthew Evanusa Snehesh Shrestha M. Girvan Cornelia Fermuller Yiannis Aloimonos AI4TS 35 0 0 27 Oct 2020
Linear Mode Connectivity in Multitask and Continual Learning Seyed Iman Mirzadeh Mehrdad Farajtabar Dilan Görür Razvan Pascanu H. Ghasemzadeh CLL 37 139 0 09 Oct 2020
Supermasks in Superposition Mitchell Wortsman Vivek Ramanujan Rosanne Liu Aniruddha Kembhavi Mohammad Rastegari J. Yosinski Ali Farhadi SSL CLL 33 279 0 26 Jun 2020
Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent Mehdi Abbana Bennani Thang Doan Masashi Sugiyama CLL 50 61 0 21 Jun 2020
GAN Memory with No Forgetting Yulai Cong Miaoyun Zhao Jianqiao Li Sijia Wang Lawrence Carin CLL 13 116 0 13 Jun 2020
Understanding the Role of Training Regimes in Continual Learning Seyed Iman Mirzadeh Mehrdad Farajtabar Razvan Pascanu H. Ghasemzadeh CLL 21 219 0 12 Jun 2020
Self-Supervised Learning Aided Class-Incremental Lifelong Learning Song Zhang Gehui Shen Jinsong Huang Zhihong Deng CLL 33 14 0 10 Jun 2020
Brain-inspired global-local learning incorporated with neuromorphic computing Yujie Wu R. Zhao Jun Zhu F. Chen Mingkun Xu ... Hao Zheng Jing Pei Youhui Zhang Mingguo Zhao Luping Shi 32 86 0 05 Jun 2020
Conditional Channel Gated Networks for Task-Aware Continual Learning Davide Abati Jakub M. Tomczak Tijmen Blankevoort Simone Calderara Rita Cucchiara B. Bejnordi CLL 42 184 0 31 Mar 2020
Learning to Continually Learn Shawn L. E. Beaulieu Lapo Frati Thomas Miconi Joel Lehman Kenneth O. Stanley Jeff Clune Nick Cheney KELM CLL 46 147 0 21 Feb 2020
Intrinsic Motivation and Episodic Memories for Robot Exploration of High-Dimensional Sensory Spaces G. Schillaci Antonio Pico Villalpando Verena V. Hafner P. Hanappe David Colliaux T. Wintz 25 27 0 07 Jan 2020
Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning Ugur Kursuncu Manas Gaur A. Sheth NAI 20 57 0 01 Dec 2019
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning Qi She Fan Feng Xinyue Hao Qihan Yang Chuanlin Lan ... Zhengwei Wang Yao Guo Yimin Zhang Fei Qiao Rosa H. M. Chan VLM 38 75 0 15 Nov 2019
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control Inyoung Paik Sangjun Oh Taeyeong Kwak Injung Kim CLL 37 49 0 31 Jul 2019
Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks Drew Linsley Junkyung Kim D. Berson Thomas Serre 3DV 30 17 0 28 Nov 2018
Continual Learning of Context-dependent Processing in Neural Networks Guanxiong Zeng Yang Chen Bo Cui Shan Yu CLL 27 295 0 29 Sep 2018
Self-Net: Lifelong Learning via Continual Self-Modeling Blake Camp J. Mandivarapu Rolando Estrada CLL SSL 27 16 0 25 May 2018
Overcoming Catastrophic Interference by Conceptors Xu He H. Jaeger BDL 26 13 0 16 Jul 2017