ResearchTrend.AI
  • Papers
  • Communities
  • Organizations
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1612.00796
  4. Cited By
Overcoming catastrophic forgetting in neural networks
v1v2 (latest)

Overcoming catastrophic forgetting in neural networks

2 December 2016
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
Andrei A. Rusu
Kieran Milan
John Quan
Tiago Ramalho
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
    CLL
ArXiv (abs)PDFHTML

Papers citing "Overcoming catastrophic forgetting in neural networks"

50 / 3,800 papers shown
Title
FuseFL: One-Shot Federated Learning through the Lens of Causality with
  Progressive Model Fusion
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
Zhenheng Tang
Yonggang Zhang
Peijie Dong
Y. Cheung
Amelie Chi Zhou
Bo Han
Xiaowen Chu
FedMLMoMeAI4CE
146
9
0
27 Oct 2024
Historical Test-time Prompt Tuning for Vision Foundation Models
Historical Test-time Prompt Tuning for Vision Foundation Models
Jingyi Zhang
Jiaxing Huang
Xiaoqin Zhang
Ling Shao
Shijian Lu
VLM
145
4
0
27 Oct 2024
Vector Quantization Prompting for Continual Learning
Vector Quantization Prompting for Continual Learning
L. Jiao
Qiuxia Lai
Yu LI
Qiang Xu
VLMCLL
79
5
0
27 Oct 2024
Self-Normalized Resets for Plasticity in Continual Learning
Self-Normalized Resets for Plasticity in Continual Learning
Vivek F. Farias
Adam D. Jozefiak
CLL
85
2
0
26 Oct 2024
Delta: A Cloud-assisted Data Enrichment Framework for On-Device
  Continual Learning
Delta: A Cloud-assisted Data Enrichment Framework for On-Device Continual Learning
Chen Gong
Zhenzhe Zheng
Fan Wu
Xiaofeng Jia
Guihai Chen
LMTDFedML
82
3
0
24 Oct 2024
Continual Learning on a Data Diet
Continual Learning on a Data Diet
Elif Ceren Gok Yildirim
Murat Onur Yildirim
Joaquin Vanschoren
CLL
75
0
0
23 Oct 2024
How to Continually Adapt Text-to-Image Diffusion Models for Flexible
  Customization?
How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?
Jiahua Dong
Wenqi Liang
Hongliu Li
Duzhen Zhang
Meng Cao
Henghui Ding
Salman Khan
Fahad Shahbaz Khan
DiffM
102
13
0
23 Oct 2024
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Riccardo Salami
Pietro Buzzega
Matteo Mosconi
Jacopo Bonato
Luigi Sabetta
Simone Calderara
FedMLMoMeCLL
134
4
0
23 Oct 2024
Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models
Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models
Yuheng Lu
Bingshuo Qian
Caixia Yuan
Huixing Jiang
Xiaojie Wang
CLL
104
0
0
22 Oct 2024
Unsupervised Replay Strategies for Continual Learning with Limited Data
Unsupervised Replay Strategies for Continual Learning with Limited Data
Anthony Bazhenov
Pahan Dewasurendra
G. Krishnan
Jean Erik Delanois
CLL
58
0
0
21 Oct 2024
Exploring Continual Fine-Tuning for Enhancing Language Ability in Large
  Language Model
Exploring Continual Fine-Tuning for Enhancing Language Ability in Large Language Model
Divyanshu Aggarwal
Sankarshan Damle
Navin Goyal
Satya Lokam
Sunayana Sitaram
CLL
83
1
0
21 Oct 2024
Solving Continual Offline RL through Selective Weights Activation on
  Aligned Spaces
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces
Jifeng Hu
Sili Huang
Li Shen
Zhejian Yang
Shengchao Hu
Shisong Tang
Hechang Chen
Yi Chang
Dacheng Tao
Lichao Sun
OffRL
89
0
0
21 Oct 2024
Hybrid Memory Replay: Blending Real and Distilled Data for Class
  Incremental Learning
Hybrid Memory Replay: Blending Real and Distilled Data for Class Incremental Learning
Jiangtao Kong
Jiacheng Shi
Ashley Gao
Shaohan Hu
Dinesh Manocha
Huajie Shao
VLMDD
98
1
0
20 Oct 2024
SNAP: Stopping Catastrophic Forgetting in Hebbian Learning with
  Sigmoidal Neuronal Adaptive Plasticity
SNAP: Stopping Catastrophic Forgetting in Hebbian Learning with Sigmoidal Neuronal Adaptive Plasticity
Tianyi Xu
Patrick Zheng
Shiyan Liu
Sicheng Lyu
Isabeau Prémont-Schwarz
30
0
0
20 Oct 2024
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
Minhyuk Seo
Hyunseo Koh
Jonghyun Choi
122
3
0
19 Oct 2024
Assessing Open-world Forgetting in Generative Image Model Customization
Assessing Open-world Forgetting in Generative Image Model Customization
Héctor Laria
Alex Gomez-Villa
Imad Eddine Marouf
Bogdan Raducanu
Bogdan Raducanu
VLMDiffM
127
0
0
18 Oct 2024
CFTS-GAN: Continual Few-Shot Teacher Student for Generative Adversarial
  Networks
CFTS-GAN: Continual Few-Shot Teacher Student for Generative Adversarial Networks
Munsif Ali
L. Rossi
Massimo Bertozzi
GANCLL
80
2
0
17 Oct 2024
LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks
LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks
Akshara Prabhakar
Yuanzhi Li
Karthik Narasimhan
Sham Kakade
Eran Malach
Samy Jelassi
MoMe
113
19
0
16 Oct 2024
Merge to Learn: Efficiently Adding Skills to Language Models with Model
  Merging
Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging
Jacob Morrison
Noah A. Smith
Hannaneh Hajishirzi
Pang Wei Koh
Jesse Dodge
Pradeep Dasigi
KELMMoMeCLL
122
5
0
16 Oct 2024
SeQuiFi: Mitigating Catastrophic Forgetting in Speech Emotion
  Recognition with Sequential Class-Finetuning
SeQuiFi: Mitigating Catastrophic Forgetting in Speech Emotion Recognition with Sequential Class-Finetuning
Sarthak Jain
Orchid Chetia Phukan
Swarup Ranjan Behera
Arun Balaji Buduru
Rajesh Sharma
CLL
52
0
0
16 Oct 2024
Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit Approach
Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit Approach
Henrique Donâncio
Antoine Barrier
Leah F. South
Florence Forbes
71
0
0
16 Oct 2024
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
Wei Chen
Yuxuan Liang
AI4TS
105
2
0
16 Oct 2024
Overcoming Domain Limitations in Open-vocabulary Segmentation
Overcoming Domain Limitations in Open-vocabulary Segmentation
Dongjun Hwang
Seong Joon Oh
Junsuk Choe
SSegOOD
188
0
0
15 Oct 2024
Enhance Graph Alignment for Large Language Models
Enhance Graph Alignment for Large Language Models
Haitong Luo
Xuying Meng
Suhang Wang
Tianxiang Zhao
Fali Wang
Hanyun Cao
Yujun Zhang
442
2
0
15 Oct 2024
Unveiling Options with Neural Decomposition
Unveiling Options with Neural Decomposition
Mahdi Alikhasi
Levi H. S. Lelis
96
0
0
15 Oct 2024
Neural networks that overcome classic challenges through practice
Neural networks that overcome classic challenges through practice
Kazuki Irie
Brenden M. Lake
102
6
0
14 Oct 2024
Queryable Prototype Multiple Instance Learning with Vision-Language
  Models for Incremental Whole Slide Image Classification
Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification
Jiaxiang Gou
Luping Ji
Pei Liu
Mao Ye
VLM
74
0
0
14 Oct 2024
Continual Deep Reinforcement Learning to Prevent Catastrophic Forgetting
  in Jamming Mitigation
Continual Deep Reinforcement Learning to Prevent Catastrophic Forgetting in Jamming Mitigation
Kemal Davaslioglu
Sastry Kompella
T. Erpek
Y. Sagduyu
72
1
0
14 Oct 2024
Continual Learning Improves Zero-Shot Action Recognition
Continual Learning Improves Zero-Shot Action Recognition
Shreyank N. Gowda
Davide Moltisanti
Laura Sevilla-Lara
BDLVLMCLL
146
1
0
14 Oct 2024
ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage
  Learning Strategy
ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage Learning Strategy
Hong Li
Zhiquan Tan
Xingyu Li
Weiran Huang
CLLMoMe
78
1
0
14 Oct 2024
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task
  Profiling and Prompting Approach
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach
Chaoxi Niu
Guansong Pang
Ling-Hao Chen
Bing Liu
CLL
153
6
0
14 Oct 2024
Scalable Multi-Domain Adaptation of Language Models using Modular
  Experts
Scalable Multi-Domain Adaptation of Language Models using Modular Experts
Peter Schafhalter
Shun Liao
Yanqi Zhou
Chih-Kuan Yeh
Arun Kandoor
James Laudon
MoE
84
1
0
14 Oct 2024
Is Parameter Collision Hindering Continual Learning in LLMs?
Is Parameter Collision Hindering Continual Learning in LLMs?
Shuo Yang
Hai-Jian Ke
Yu-Yang Liu
Jia-Yu Yao
Yong-Hong Tian
Yi-Bing Song
Li Yuan
MoMeCLL
110
4
0
14 Oct 2024
RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates
RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates
Md. Kowsher
Tara Esmaeilbeig
Chun-Nam Yu
Chen Chen
Mojtaba Soltanalian
Niloofar Yousefi
92
1
0
14 Oct 2024
MoIN: Mixture of Introvert Experts to Upcycle an LLM
MoIN: Mixture of Introvert Experts to Upcycle an LLM
Ajinkya Tejankar
K. Navaneet
Ujjawal Panchal
Kossar Pourahmadi
Hamed Pirsiavash
MoE
136
0
0
13 Oct 2024
Self-Data Distillation for Recovering Quality in Pruned Large Language Models
Self-Data Distillation for Recovering Quality in Pruned Large Language Models
Vithursan Thangarasa
Ganesh Venkatesh
Mike Lasby
Nish Sinnadurai
Sean Lie
SyDa
181
2
0
13 Oct 2024
Zero-shot Commonsense Reasoning over Machine Imagination
Zero-shot Commonsense Reasoning over Machine Imagination
Hyuntae Park
Yeachan Kim
Jun-Hyung Park
S. Lee
ReLMVLMLRM
38
1
0
12 Oct 2024
Adapters for Altering LLM Vocabularies: What Languages Benefit the Most?
Adapters for Altering LLM Vocabularies: What Languages Benefit the Most?
HyoJung Han
Akiko Eriguchi
Haoran Xu
Hieu T. Hoang
Marine Carpuat
Huda Khayrallah
VLM
116
3
0
12 Oct 2024
Temporal-Difference Variational Continual Learning
Temporal-Difference Variational Continual Learning
Luckeciano C. Melo
Alessandro Abate
Yarin Gal
BDLCLLVLM
135
0
0
10 Oct 2024
Generalizing Segmentation Foundation Model Under Sim-to-real
  Domain-shift for Guidewire Segmentation in X-ray Fluoroscopy
Generalizing Segmentation Foundation Model Under Sim-to-real Domain-shift for Guidewire Segmentation in X-ray Fluoroscopy
Yuxuan Wen
Evgenia Roussinova
Olivier Brina
Paolo Machi
Mohamed Bouri
OODMedIm
110
1
0
09 Oct 2024
Continual Learning: Less Forgetting, More OOD Generalization via
  Adaptive Contrastive Replay
Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive Replay
Hossein Rezaei
Mohammad Sabokrou
CLL
74
0
0
09 Oct 2024
Efficient Weight-Space Laplace-Gaussian Filtering and Smoothing for
  Sequential Deep Learning
Efficient Weight-Space Laplace-Gaussian Filtering and Smoothing for Sequential Deep Learning
Joanna Sliwa
Frank Schneider
Nathanael Bosch
Agustinus Kristiadi
Philipp Hennig
BDLCLL
88
2
0
09 Oct 2024
Continual Learning in the Frequency Domain
Continual Learning in the Frequency Domain
Ruiqi Liu
Boyu Diao
Libo Huang
Zijia An
Zhulin An
Yongjun Xu
VLMCLL
98
8
0
09 Oct 2024
Happy: A Debiased Learning Framework for Continual Generalized Category
  Discovery
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery
Shijie Ma
Fei Zhu
Zhun Zhong
Wenzhuo Liu
Xu-Yao Zhang
Cheng-Lin Liu
CLL
94
9
0
09 Oct 2024
LeanAgent: Lifelong Learning for Formal Theorem Proving
LeanAgent: Lifelong Learning for Formal Theorem Proving
Adarsh Kumarappan
Mo Tiwari
Peiyang Song
Robert Joseph George
Chaowei Xiao
Anima Anandkumar
CLLLLMAGLRM
153
9
0
08 Oct 2024
Generalizing to any diverse distribution: uniformity, gentle finetuning
  and rebalancing
Generalizing to any diverse distribution: uniformity, gentle finetuning and rebalancing
Andreas Loukas
Karolis Martinkus
Ed Wagstaff
Kyunghyun Cho
OOD
89
1
0
08 Oct 2024
Brain-inspired continual pre-trained learner via silent synaptic
  consolidation
Brain-inspired continual pre-trained learner via silent synaptic consolidation
Xuming Ran
Juntao Yao
Yusong Wang
Mingkun Xu
Dianbo Liu
AAMLCLL
63
0
0
08 Oct 2024
ModalPrompt:Dual-Modality Guided Prompt for Continual Learning of Large
  Multimodal Models
ModalPrompt:Dual-Modality Guided Prompt for Continual Learning of Large Multimodal Models
Fanhu Zeng
Fei Zhu
Haiyang Guo
Xu-Yao Zhang
Cheng-Lin Liu
VLMCLL
82
12
0
08 Oct 2024
Does RoBERTa Perform Better than BERT in Continual Learning: An
  Attention Sink Perspective
Does RoBERTa Perform Better than BERT in Continual Learning: An Attention Sink Perspective
Xueying Bai
Yifan Sun
Niranjan Balasubramanian
CLL
75
0
0
08 Oct 2024
CLOSER: Towards Better Representation Learning for Few-Shot
  Class-Incremental Learning
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning
Junghun Oh
Sungyong Baik
Kyoung Mu Lee
CLL
91
4
0
08 Oct 2024
Previous
123...91011...747576
Next