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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
Swift Sampler: Efficient Learning of Sampler by 10 Parameters
Swift Sampler: Efficient Learning of Sampler by 10 Parameters
Jiawei Yao
Chuming Li
Canran Xiao
100
6
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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
102
3
0
08 Oct 2024
NegMerge: Sign-Consensual Weight Merging for Machine Unlearning
NegMerge: Sign-Consensual Weight Merging for Machine Unlearning
Hyoseo Kim
Dongyoon Han
Junsuk Choe
MUMoMe
98
3
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
164
0
0
08 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
VLMCLL
115
13
0
07 Oct 2024
Active Fine-Tuning of Multi-Task Policies
Active Fine-Tuning of Multi-Task Policies
Marco Bagatella
Jonas Hübotter
Georg Martius
Andreas Krause
164
0
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
666
1
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
69
0
0
06 Oct 2024
IT$^3$: Idempotent Test-Time Training
IT3^33: Idempotent Test-Time Training
Nikita Durasov
Assaf Shocher
Doruk Öner
Gal Chechik
Alexei A. Efros
Pascal Fua
OODVLM
135
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
78
1
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
89
2
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
ELMPILM
212
7
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
69
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
139
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
102
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
127
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
65
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
CLLAI4CE
198
2
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
182
3
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
94
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
87
1
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
CLLVLM
153
3
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
110
9
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
KELMCLLMoMe
55
2
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
79
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
124
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
125
2
0
28 Sep 2024
A3: Active Adversarial Alignment for Source-Free Domain Adaptation
A3: Active Adversarial Alignment for Source-Free Domain Adaptation
Chrisantus Eze
Christopher Crick
84
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
114
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
VLMCLL
78
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
187
4
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
TDILLMSV
103
2
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
67
4
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
TTAObjD
102
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
97
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
54
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
486
2
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
122
2
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
117
1
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
153
6
0
22 Sep 2024
VLM-Vac: Enhancing Smart Vacuums through VLM Knowledge Distillation and
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VLM-Vac: Enhancing Smart Vacuums through VLM Knowledge Distillation and Language-Guided Experience Replay
Reihaneh Mirjalili
Michael Krawez
Florian Walter
Wolfram Burgard
69
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
58
0
0
21 Sep 2024
Persistent Backdoor Attacks in Continual Learning
Persistent Backdoor Attacks in Continual Learning
Zhen Guo
Abhinav Kumar
R. Tourani
AAML
85
4
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
70
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
KELMCLL
508
2
0
20 Sep 2024
Inductive Spatial Temporal Prediction Under Data Drift with Informative
  Graph Neural Network
Inductive Spatial Temporal Prediction Under Data Drift with Informative Graph Neural Network
Jialun Zheng
Divya Saxena
Jiannong Cao
Hanchen Yang
Penghui Ruan
AI4TS
71
0
0
20 Sep 2024
Cross-Domain Content Generation with Domain-Specific Small Language
  Models
Cross-Domain Content Generation with Domain-Specific Small Language Models
Ankit Maloo
Abhinav Garg
CLL
54
0
0
19 Sep 2024
CMINNs: Compartment Model Informed Neural Networks -- Unlocking Drug
  Dynamics
CMINNs: Compartment Model Informed Neural Networks -- Unlocking Drug Dynamics
Nazanin Ahmadi Daryakenari
Shupeng Wang
George Karniadakis
435
5
0
19 Sep 2024
NPAT Null-Space Projected Adversarial Training Towards Zero
  Deterioration
NPAT Null-Space Projected Adversarial Training Towards Zero Deterioration
Hanyi Hu
Qiao Han
Kui Chen
Yao Yang
AAML
74
0
0
18 Sep 2024
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data
Cuiwei Liu
Siang Xu
Huaijun Qiu
Jing Zhang
Zhi Liu
Liang Zhao
CLL
91
0
0
18 Sep 2024
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