ResearchTrend.AI
  • Papers
  • Communities
  • 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

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
ArXivPDFHTML

Papers citing "Overcoming catastrophic forgetting in neural networks"

50 / 3,693 papers shown
Title
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
VLM
CLL
48
8
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
29
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
47
3
0
08 Oct 2024
NegMerge: Consensual Weight Negation for Strong Machine Unlearning
NegMerge: Consensual Weight Negation for Strong Machine Unlearning
Hyoseo Kim
Dongyoon Han
Junsuk Choe
MoMe
MU
36
1
0
08 Oct 2024
Swift Sampler: Efficient Learning of Sampler by 10 Parameters
Swift Sampler: Efficient Learning of Sampler by 10 Parameters
Jiawei Yao
Chuming Li
Canran Xiao
23
6
0
08 Oct 2024
Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning
Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning
Saemi Moon
M. Lee
Sangdon Park
Dongwoo Kim
44
1
0
08 Oct 2024
CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection
CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection
Mingyi Guo
Yuyang Liu
Zongying Lin
Peixi Peng
Yonghong Tian
Yonghong Tian
VLM
40
0
0
08 Oct 2024
Active Fine-Tuning of Generalist Policies
Active Fine-Tuning of Generalist Policies
Marco Bagatella
Jonas Hübotter
Georg Martius
Andreas Krause
39
0
0
07 Oct 2024
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey
Dianzhi Yu
Xinni Zhang
Yankai Chen
Aiwei Liu
Yifei Zhang
Philip S. Yu
Irwin King
VLM
CLL
52
10
0
07 Oct 2024
DEPT: Decoupled Embeddings for Pre-training Language Models
DEPT: Decoupled Embeddings for Pre-training Language Models
Alex Iacob
Lorenzo Sani
Meghdad Kurmanji
William F. Shen
Xinchi Qiu
Dongqi Cai
Yan Gao
Nicholas D. Lane
VLM
238
0
0
07 Oct 2024
Adjusting Pretrained Backbones for Performativity
Adjusting Pretrained Backbones for Performativity
Berker Demirel
Lingjing Kong
Kun Zhang
Theofanis Karaletsos
Celestine Mendler-Dünner
Francesco Locatello
KELM
19
0
0
06 Oct 2024
IT$^3$: Idempotent Test-Time Training
IT3^33: Idempotent Test-Time Training
N. Durasov
Assaf Shocher
Doruk Öner
Gal Chechik
Alexei A. Efros
Pascal Fua
OOD
VLM
30
1
0
05 Oct 2024
Neutral residues: revisiting adapters for model extension
Neutral residues: revisiting adapters for model extension
Franck Signe Talla
Hervé Jégou
Edouard Grave
30
0
0
03 Oct 2024
Undesirable Memorization in Large Language Models: A Survey
Undesirable Memorization in Large Language Models: A Survey
Ali Satvaty
Suzan Verberne
Fatih Turkmen
ELM
PILM
99
7
0
03 Oct 2024
Structural-Entropy-Based Sample Selection for Efficient and Effective Learning
Structural-Entropy-Based Sample Selection for Efficient and Effective Learning
Tianchi Xie
Jiangning Zhu
Guozu Ma
Minzhi Lin
Wei Chen
Weikai Yang
Shixia Liu
35
0
0
03 Oct 2024
Thermodynamic Bayesian Inference
Thermodynamic Bayesian Inference
Maxwell Aifer
Samuel Duffield
Kaelan Donatella
Denis Melanson
Phoebe Klett
Zach Belateche
Gavin Crooks
Antonio J. Martinez
Patrick J. Coles
41
4
0
02 Oct 2024
COOL: Efficient and Reliable Chain-Oriented Objective Logic with Neural Networks Feedback Control for Program Synthesis
COOL: Efficient and Reliable Chain-Oriented Objective Logic with Neural Networks Feedback Control for Program Synthesis
Jipeng Han
42
0
0
02 Oct 2024
Fair Class-Incremental Learning using Sample Weighting
Fair Class-Incremental Learning using Sample Weighting
Jaeyoung Park
Minsu Kim
Steven Euijong Whang
38
0
0
02 Oct 2024
Fine-Grained Gradient Restriction: A Simple Approach for Mitigating
  Catastrophic Forgetting
Fine-Grained Gradient Restriction: A Simple Approach for Mitigating Catastrophic Forgetting
Bo Liu
Mao Ye
Peter Stone
Qiang Liu
CLL
16
0
0
01 Oct 2024
FlipGuard: Defending Preference Alignment against Update Regression with
  Constrained Optimization
FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization
Mingye Zhu
Yi Liu
Quan Wang
Junbo Guo
Zhendong Mao
39
1
0
01 Oct 2024
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
Saurav Jha
Shiqi Yang
Masato Ishii
Mengjie Zhao
Christian Simon
Muhammad Jehanzeb Mirza
Dong Gong
Lina Yao
Shusuke Takahashi
Yuki Mitsufuji
DiffM
67
2
0
01 Oct 2024
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
Liangzu Peng
Juan Elenter
Joshua Agterberg
Alejandro Ribeiro
René Vidal
VLM
CLL
51
1
0
01 Oct 2024
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Da-Wei Zhou
Zi-Wen Cai
Han-Jia Ye
Lijun Zhang
De-Chuan Zhan
CLL
AI4CE
76
2
0
01 Oct 2024
Continual Human Pose Estimation for Incremental Integration of Keypoints
  and Pose Variations
Continual Human Pose Estimation for Incremental Integration of Keypoints and Pose Variations
Muhammad Saif Ullah Khan
Muhammad Ahmed Ullah Khan
Muhammad Zeshan Afzal
Didier Stricker
CLL
35
1
0
30 Sep 2024
Collaborative Knowledge Distillation via a Learning-by-Education Node
  Community
Collaborative Knowledge Distillation via a Learning-by-Education Node Community
Anestis Kaimakamidis
Ioannis Mademlis
Ioannis Pitas
30
0
0
30 Sep 2024
M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning
M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning
Kaushik Roy
Akila Dissanayake
Brendan Tidd
Peyman Moghadam
CLL
VLM
69
2
0
30 Sep 2024
Unified Gradient-Based Machine Unlearning with Remain Geometry
  Enhancement
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
Zhehao Huang
Xinwen Cheng
Jinghao Zheng
Haoran Wang
Zhengbao He
Tao Li
Xiaolin Huang
MU
47
7
0
29 Sep 2024
Learning Attentional Mixture of LoRAs for Language Model Continual
  Learning
Learning Attentional Mixture of LoRAs for Language Model Continual Learning
Jialin Liu
Jianhua Wu
Jie Liu
Yutai Duan
KELM
CLL
MoMe
27
1
0
29 Sep 2024
Psychometrics for Hypnopaedia-Aware Machinery via Chaotic Projection of
  Artificial Mental Imagery
Psychometrics for Hypnopaedia-Aware Machinery via Chaotic Projection of Artificial Mental Imagery
Ching-Chun Chang
Kai Gao
Shuying Xu
Anastasia Kordoni
Christopher Leckie
Isao Echizen
31
0
0
29 Sep 2024
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online
  Continual Learning
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning
Xinrui Wang
Chuanxing Geng
Wenhai Wan
Shao-yuan Li
Songcan Chen
CLL
44
3
0
28 Sep 2024
A Parameter-Efficient Tuning Framework for Language-guided Object Grounding and Robot Grasping
A Parameter-Efficient Tuning Framework for Language-guided Object Grounding and Robot Grasping
Houjian Yu
Mingen Li
Alireza Rezazadeh
Yang Yang
Changhyun Choi
54
1
0
28 Sep 2024
LW2G: Learning Whether to Grow for Prompt-based Continual Learning
LW2G: Learning Whether to Grow for Prompt-based Continual Learning
Qian Feng
Dawei Zhou
Hanbin Zhao
Chao Zhang
Hui Qian
VLM
CLL
44
3
0
27 Sep 2024
A3: Active Adversarial Alignment for Source-Free Domain Adaptation
A3: Active Adversarial Alignment for Source-Free Domain Adaptation
Chrisantus Eze
Christopher Crick
30
0
0
27 Sep 2024
Task-recency bias strikes back: Adapting covariances in Exemplar-Free
  Class Incremental Learning
Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning
Grzegorz Rype'sć
Sebastian Cygert
Tomasz Trzciñski
Bartłomiej Twardowski
51
4
0
26 Sep 2024
Continual learning with task specialist
Continual learning with task specialist
Indu Solomon
Aye Phyu Phyu Aung
Uttam Kumar
Senthilnath Jayavelu
VLM
CLL
33
0
0
26 Sep 2024
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory
Francesco Mori
Stefano Sarao Mannelli
Francesca Mignacco
38
3
0
26 Sep 2024
Revisiting inverse Hessian vector products for calculating influence
  functions
Revisiting inverse Hessian vector products for calculating influence functions
Yegor Klochkov
Yang Liu
TDI
LLMSV
39
1
0
25 Sep 2024
Weighted Cross-entropy for Low-Resource Languages in Multilingual Speech
  Recognition
Weighted Cross-entropy for Low-Resource Languages in Multilingual Speech Recognition
Andrés Piñeiro-Martín
C. García-Mateo
Laura Docío-Fernández
María del Carmen López-Pérez
Georg Rehm
32
3
0
25 Sep 2024
Source-Free Domain Adaptation for YOLO Object Detection
Source-Free Domain Adaptation for YOLO Object Detection
Simon Varailhon
Masih Aminbeidokhti
M. Pedersoli
Eric Granger
TTA
ObjD
35
4
0
25 Sep 2024
Patch-Based Contrastive Learning and Memory Consolidation for Online
  Unsupervised Continual Learning
Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning
Cameron Taylor
Vassilis Vassiliades
C. Dovrolis
CLL
31
0
0
24 Sep 2024
Seeing Faces in Things: A Model and Dataset for Pareidolia
Seeing Faces in Things: A Model and Dataset for Pareidolia
Mark Hamilton
Simon Stent
Vasha Dutell
Anne Harrington
Jennifer Corbett
R. Rosenholtz
William T. Freeman
CVBM
24
1
0
24 Sep 2024
Sequential Learning in the Dense Associative Memory
Sequential Learning in the Dense Associative Memory
Hayden McAlister
Anthony Robins
Lech Szymanski
CLL
231
1
0
24 Sep 2024
Tiny Robotics Dataset and Benchmark for Continual Object Detection
Tiny Robotics Dataset and Benchmark for Continual Object Detection
Francesco Pasti
Riccardo De Monte
Davide Dalle Pezze
Gian Antonio Susto
Nicola Bellotto
47
1
0
24 Sep 2024
Artificial Human Intelligence: The role of Humans in the Development of Next Generation AI
Artificial Human Intelligence: The role of Humans in the Development of Next Generation AI
Suayb S. Arslan
36
2
0
24 Sep 2024
From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks
From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks
Clémentine Dominé
Nicolas Anguita
A. Proca
Lukas Braun
D. Kunin
P. Mediano
Andrew M. Saxe
43
3
0
22 Sep 2024
VLM-Vac: Enhancing Smart Vacuums through VLM Knowledge Distillation and
  Language-Guided Experience Replay
VLM-Vac: Enhancing Smart Vacuums through VLM Knowledge Distillation and Language-Guided Experience Replay
Reihaneh Mirjalili
Michael Krawez
Florian Walter
Wolfram Burgard
43
0
0
21 Sep 2024
Drift to Remember
Drift to Remember
Jin Du
Xinsong Zhang
Hao Shen
Xun Xian
Ganghua Wang
Jiawei Zhang
Yuhong Yang
Na Li
Jia Liu
Jie Ding
CLL
26
0
0
21 Sep 2024
Persistent Backdoor Attacks in Continual Learning
Persistent Backdoor Attacks in Continual Learning
Zhen Guo
Abhinav Kumar
R. Tourani
AAML
37
3
0
20 Sep 2024
Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental
  Learning
Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning
Zhongren Yao
Xiaobin Chang
39
0
0
20 Sep 2024
Towards LifeSpan Cognitive Systems
Towards LifeSpan Cognitive Systems
Yu Wang
Chi Han
Tongtong Wu
Xiaoxin He
Wangchunshu Zhou
...
Zexue He
Wei Wang
Gholamreza Haffari
Heng Ji
Julian McAuley
KELM
CLL
236
1
0
20 Sep 2024
Previous
123...8910...727374
Next