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An Empirical Investigation of Catastrophic Forgetting in Gradient-Based
  Neural Networks

An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

21 December 2013
Ian Goodfellow
M. Berk Mirza
Xia Da
Aaron Courville
Yoshua Bengio
ArXivPDFHTML

Papers citing "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks"

50 / 263 papers shown
Title
CL-CaGAN: Capsule differential adversarial continuous learning for cross-domain hyperspectral anomaly detection
CL-CaGAN: Capsule differential adversarial continuous learning for cross-domain hyperspectral anomaly detection
Jianing Wang
Siying Guo
Zheng Hua
Runhu Huang
Jinyu Hu
Maoguo Gong
2
8
0
17 May 2025
Ready2Unlearn: A Learning-Time Approach for Preparing Models with Future Unlearning Readiness
Ready2Unlearn: A Learning-Time Approach for Preparing Models with Future Unlearning Readiness
Hanyu Duan
Yi Yang
Ahmed Abbasi
Kar Yan Tam
MU
OnRL
29
0
0
16 May 2025
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer
Zhenrong Liu
Janne M. J. Huttunen
Mikko Honkala
CLL
49
0
0
13 May 2025
Do You Know the Way? Human-in-the-Loop Understanding for Fast Traversability Estimation in Mobile Robotics
Do You Know the Way? Human-in-the-Loop Understanding for Fast Traversability Estimation in Mobile Robotics
Andre Schreiber
Katherine Rose Driggs-Campbell
177
0
0
28 Apr 2025
Robust Learning of Diverse Code Edits
Robust Learning of Diverse Code Edits
Tushar Aggarwal
Swayam Singh
Abhijeet Awasthi
Aditya Kanade
Nagarajan Natarajan
SyDa
183
0
0
05 Mar 2025
Cross-Domain Continual Learning for Edge Intelligence in Wireless ISAC Networks
Cross-Domain Continual Learning for Edge Intelligence in Wireless ISAC Networks
Jingzhi Hu
Xin Li
Zhou Su
Jun Luo
70
0
0
18 Feb 2025
Efficient Learning Under Density Shift in Incremental Settings Using Cramér-Rao-Based Regularization
Efficient Learning Under Density Shift in Incremental Settings Using Cramér-Rao-Based Regularization
Behraj Khan
Behroz Mirza
Nouman Durrani
T. Syed
60
0
0
18 Feb 2025
Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer
Hu Hu
Sabato Marco Siniscalchi
Chao-Han Huck Yang
Chin-Hui Lee
80
0
0
28 Jan 2025
QuIM-RAG: Advancing Retrieval-Augmented Generation with Inverted Question Matching for Enhanced QA Performance
Binita Saha
Utsha Saha
Muhammad Zubair Malik
RALM
3DV
56
2
0
06 Jan 2025
Persistence of Backdoor-based Watermarks for Neural Networks: A Comprehensive Evaluation
Persistence of Backdoor-based Watermarks for Neural Networks: A Comprehensive Evaluation
Anh Tu Ngo
Chuan Song Heng
Nandish Chattopadhyay
Anupam Chattopadhyay
AAML
165
0
0
06 Jan 2025
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets
Vatsal Gupta
Pranshu Pandya
Tushar Kataria
Vivek Gupta
Dan Roth
AAML
57
1
0
03 Jan 2025
Developmental Predictive Coding Model for Early Infancy Mono and
  Bilingual Vocal Continual Learning
Developmental Predictive Coding Model for Early Infancy Mono and Bilingual Vocal Continual Learning
Xiaodan Chen
Alexandre Pitti
M. Quoy
Nancy F Chen
CLL
48
0
0
23 Dec 2024
REFINE on Scarce Data: Retrieval Enhancement through Fine-Tuning via
  Model Fusion of Embedding Models
REFINE on Scarce Data: Retrieval Enhancement through Fine-Tuning via Model Fusion of Embedding Models
Ambuje Gupta
Mrinal Rawat
Andreas Stolcke
Roberto Pieraccini
RALM
21
1
0
16 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
29
1
0
14 Oct 2024
Temporal-Difference Variational Continual Learning
Temporal-Difference Variational Continual Learning
Luckeciano C. Melo
Alessandro Abate
Yarin Gal
BDL
CLL
VLM
46
0
0
10 Oct 2024
Sequential Learning in the Dense Associative Memory
Sequential Learning in the Dense Associative Memory
Hayden McAlister
Anthony Robins
Lech Szymanski
CLL
166
1
0
24 Sep 2024
Generalization in birdsong classification: impact of transfer learning
  methods and dataset characteristics
Generalization in birdsong classification: impact of transfer learning methods and dataset characteristics
Burooj Ghani
Vincent J. Kalkman
Bob Planqué
Willem-Pier Vellinga
L. Gill
Dan Stowell
VLM
32
5
0
21 Sep 2024
Reducing Catastrophic Forgetting in Online Class Incremental Learning
  Using Self-Distillation
Reducing Catastrophic Forgetting in Online Class Incremental Learning Using Self-Distillation
Kotaro Nagata
Hiromu Ono
Kazuhiro Hotta
CLL
14
0
0
17 Sep 2024
Buffer-based Gradient Projection for Continual Federated Learning
Buffer-based Gradient Projection for Continual Federated Learning
Shenghong Dai
Jy-yong Sohn
Yicong Chen
S. Alam
Ravikumar Balakrishnan
Suman Banerjee
N. Himayat
Kangwook Lee
FedML
75
2
0
03 Sep 2024
Continual learning with the neural tangent ensemble
Continual learning with the neural tangent ensemble
Ari S. Benjamin
Christian Pehle
Kyle Daruwalla
UQCV
70
0
0
30 Aug 2024
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning
Mohammadamin Banayeeanzade
Mahdi Soltanolkotabi
Mohammad Rostami
CLL
LRM
103
1
0
29 Aug 2024
Remove Symmetries to Control Model Expressivity and Improve Optimization
Remove Symmetries to Control Model Expressivity and Improve Optimization
Liu Ziyin
Yizhou Xu
Isaac Chuang
AAML
41
1
0
28 Aug 2024
An Effective Dynamic Gradient Calibration Method for Continual Learning
An Effective Dynamic Gradient Calibration Method for Continual Learning
Weichen Lin
Jiaxiang Chen
Ru Huang
Huihua Ding
CLL
44
0
0
30 Jul 2024
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning
Yupeng Chen
Senmiao Wang
Zhihang Lin
Zhihang Lin
Yushun Zhang
Tian Ding
Ruoyu Sun
Ruoyu Sun
CLL
80
1
0
30 Jul 2024
Mixture of Modular Experts: Distilling Knowledge from a Multilingual
  Teacher into Specialized Modular Language Models
Mixture of Modular Experts: Distilling Knowledge from a Multilingual Teacher into Specialized Modular Language Models
Mohammed Al-Maamari
Mehdi Ben Amor
Michael Granitzer
KELM
MoE
38
0
0
28 Jul 2024
The impact of model size on catastrophic forgetting in Online Continual
  Learning
The impact of model size on catastrophic forgetting in Online Continual Learning
Eunhae Lee
CLL
41
0
0
28 Jun 2024
WARP: On the Benefits of Weight Averaged Rewarded Policies
WARP: On the Benefits of Weight Averaged Rewarded Policies
Alexandre Ramé
Johan Ferret
Nino Vieillard
Robert Dadashi
Léonard Hussenot
Pierre-Louis Cedoz
Pier Giuseppe Sessa
Sertan Girgin
Arthur Douillard
Olivier Bachem
62
14
0
24 Jun 2024
Emerging NeoHebbian Dynamics in Forward-Forward Learning: Implications
  for Neuromorphic Computing
Emerging NeoHebbian Dynamics in Forward-Forward Learning: Implications for Neuromorphic Computing
Erik B. Terres-Escudero
Javier Del Ser
Pablo García Bringas
42
0
0
24 Jun 2024
Data-dependent and Oracle Bounds on Forgetting in Continual Learning
Data-dependent and Oracle Bounds on Forgetting in Continual Learning
Lior Friedman
Ron Meir
75
0
0
13 Jun 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
Yibo Yang
Xiaojie Li
Zhongzhu Zhou
Shuaiwen Leon Song
Jianlong Wu
Liqiang Nie
Guohao Li
45
6
0
07 Jun 2024
Towards Federated Domain Unlearning: Verification Methodologies and
  Challenges
Towards Federated Domain Unlearning: Verification Methodologies and Challenges
Kahou Tam
Kewei Xu
Li Li
Huazhu Fu
MU
43
1
0
05 Jun 2024
Scalable Bayesian Learning with posteriors
Scalable Bayesian Learning with posteriors
Samuel Duffield
Kaelan Donatella
Johnathan Chiu
Phoebe Klett
Daniel Simpson
BDL
UQCV
62
1
0
31 May 2024
Disentangling and Mitigating the Impact of Task Similarity for Continual
  Learning
Disentangling and Mitigating the Impact of Task Similarity for Continual Learning
Naoki Hiratani
CLL
35
2
0
30 May 2024
HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition
HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition
Kun Yuan
V. Srivastav
Nassir Navab
N. Padoy
41
11
0
16 May 2024
Realistic Continual Learning Approach using Pre-trained Models
Realistic Continual Learning Approach using Pre-trained Models
Nadia Nasri
Carlos Gutiérrez-Álvarez
Sergio Lafuente-Arroyo
Saturnino Maldonado-Bascón
Roberto J. López-Sastre
CLL
43
0
0
11 Apr 2024
Evaluating the Factuality of Large Language Models using Large-Scale
  Knowledge Graphs
Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs
Xiaoze Liu
Feijie Wu
Tianyang Xu
Zhuo Chen
Yichi Zhang
Xiaoqian Wang
Jing Gao
HILM
45
8
0
01 Apr 2024
ILLUMINER: Instruction-tuned Large Language Models as Few-shot Intent
  Classifier and Slot Filler
ILLUMINER: Instruction-tuned Large Language Models as Few-shot Intent Classifier and Slot Filler
Paramita Mirza
Viju Sudhi
S. Sahoo
Sinchana Ramakanth Bhat
23
4
0
26 Mar 2024
One-Shot Domain Incremental Learning
One-Shot Domain Incremental Learning
Yasushi Esaki
Satoshi Koide
Takuro Kutsuna
CLL
VLM
45
0
0
25 Mar 2024
Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance
Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance
Liting Lin
Heng Fan
Zhipeng Zhang
Yaowei Wang
Yong-mei Xu
Haibin Ling
49
26
0
08 Mar 2024
Population-aware Online Mirror Descent for Mean-Field Games by Deep
  Reinforcement Learning
Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning
Zida Wu
Mathieu Lauriere
Samuel Jia Cong Chua
M. Geist
Olivier Pietquin
Ankur M. Mehta
37
5
0
06 Mar 2024
Adaptive Discovering and Merging for Incremental Novel Class Discovery
Adaptive Discovering and Merging for Incremental Novel Class Discovery
Guangyao Chen
Peixi Peng
Yangru Huang
Mengyue Geng
Yonghong Tian
CLL
MoMe
35
9
0
06 Mar 2024
LiRank: Industrial Large Scale Ranking Models at LinkedIn
LiRank: Industrial Large Scale Ranking Models at LinkedIn
Fedor Borisyuk
Mingzhou Zhou
Qingquan Song
Siyu Zhu
B. Tiwana
...
Chen-Chen Jiang
Haichao Wei
Maneesh Varshney
Amol Ghoting
Souvik Ghosh
29
1
0
10 Feb 2024
Cross-silo Federated Learning with Record-level Personalized
  Differential Privacy
Cross-silo Federated Learning with Record-level Personalized Differential Privacy
Junxu Liu
Jian Lou
Li Xiong
Jinfei Liu
Xiaofeng Meng
34
6
0
29 Jan 2024
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning
Hong kyu Lee
Qiuchen Zhang
Carl Yang
Jian Lou
Li Xiong
MU
SSL
21
4
0
19 Jan 2024
Using Curiosity for an Even Representation of Tasks in Continual Offline
  Reinforcement Learning
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning
Pathmanathan Pankayaraj
Natalia Díaz Rodríguez
Javier Del Ser
CLL
OffRL
38
0
0
05 Dec 2023
The Philosopher's Stone: Trojaning Plugins of Large Language Models
The Philosopher's Stone: Trojaning Plugins of Large Language Models
Tian Dong
Minhui Xue
Guoxing Chen
Rayne Holland
Shaofeng Li
Yan Meng
Zhen Liu
Haojin Zhu
AAML
25
11
0
01 Dec 2023
Directions of Curvature as an Explanation for Loss of Plasticity
Directions of Curvature as an Explanation for Loss of Plasticity
Alex Lewandowski
Haruto Tanaka
Dale Schuurmans
Marlos C. Machado
19
5
0
30 Nov 2023
Continual Referring Expression Comprehension via Dual Modular
  Memorization
Continual Referring Expression Comprehension via Dual Modular Memorization
Hengtao Shen
Cheng Chen
Peng Wang
Lianli Gao
Hao Wu
Jingkuan Song
ObjD
35
3
0
25 Nov 2023
Density Distribution-based Learning Framework for Addressing Online
  Continual Learning Challenges
Density Distribution-based Learning Framework for Addressing Online Continual Learning Challenges
Shilin Zhang
Jiahui Wang
CLL
32
0
0
22 Nov 2023
HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs
HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs
Junying Chen
Xidong Wang
Anningzhe Gao
Feng Jiang
Shunian Chen
...
Chuyi Kong
Jianquan Li
Xiang Wan
Haizhou Li
Benyou Wang
LM&MA
24
60
0
16 Nov 2023
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