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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
PromptDSI: Prompt-based Rehearsal-free Continual Learning for Document Retrieval
PromptDSI: Prompt-based Rehearsal-free Continual Learning for Document Retrieval
Tuan-Luc Huynh
Thuy-Trang Vu
Weiqing Wang
Yinwei Wei
T. Le
D. Gašević
Yuan-Fang Li
Thanh-Toan Do
VLMCLL
117
1
0
18 Jun 2024
Safety Arithmetic: A Framework for Test-time Safety Alignment of
  Language Models by Steering Parameters and Activations
Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations
Rima Hazra
Sayan Layek
Somnath Banerjee
Soujanya Poria
KELMLLMSV
100
13
0
17 Jun 2024
Tracking the perspectives of interacting language models
Tracking the perspectives of interacting language models
Hayden Helm
Brandon Duderstadt
Youngser Park
Carey E. Priebe
117
8
0
17 Jun 2024
Neural Lineage
Neural Lineage
Runpeng Yu
Xinchao Wang
110
4
0
17 Jun 2024
See It from My Perspective: How Language Affects Cultural Bias in Image Understanding
See It from My Perspective: How Language Affects Cultural Bias in Image Understanding
Amith Ananthram
Elias Stengel-Eskin
Carl Vondrick
Joey Tianyi Zhou
VLM
151
7
0
17 Jun 2024
Uncertainty modeling for fine-tuned implicit functions
Uncertainty modeling for fine-tuned implicit functions
A. Susmelj
Mael Macuglia
Nataša Tagasovska
Reto Sutter
Sebastiano Caprara
Jean-Philippe Thiran
E. Konukoglu
172
2
0
17 Jun 2024
NBA: defensive distillation for backdoor removal via neural behavior
  alignment
NBA: defensive distillation for backdoor removal via neural behavior alignment
Zonghao Ying
Bin Wu
AAML
71
10
0
16 Jun 2024
Predicting the Susceptibility of Examples to Catastrophic Forgetting
Predicting the Susceptibility of Examples to Catastrophic Forgetting
Guy Hacohen
Tinne Tuytelaars
68
3
0
14 Jun 2024
RobustSAM: Segment Anything Robustly on Degraded Images
RobustSAM: Segment Anything Robustly on Degraded Images
Wei-Ting Chen
Yu-Jiet Vong
Sy-Yen Kuo
Sizhuo Ma
Jian Wang
VLM
100
12
0
13 Jun 2024
Reflecting on the State of Rehearsal-free Continual Learning with
  Pretrained Models
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models
Lukas Thede
Karsten Roth
Olivier J. Hénaff
Matthias Bethge
Zeynep Akata
CLL
102
5
0
13 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
144
0
0
13 Jun 2024
OT-VP: Optimal Transport-guided Visual Prompting for Test-Time
  Adaptation
OT-VP: Optimal Transport-guided Visual Prompting for Test-Time Adaptation
Yunbei Zhang
Akshay Mehra
Jihun Hamm
VLM
99
4
0
12 Jun 2024
Decoupling the Class Label and the Target Concept in Machine Unlearning
Decoupling the Class Label and the Target Concept in Machine Unlearning
Jianing Zhu
Bo Han
Jiangchao Yao
Jianliang Xu
Gang Niu
Masashi Sugiyama
CLLMU
69
4
0
12 Jun 2024
Continuous fake media detection: adapting deepfake detectors to new
  generative techniques
Continuous fake media detection: adapting deepfake detectors to new generative techniques
Francesco Tassone
Luca Maiano
Irene Amerini
88
6
0
12 Jun 2024
Learning Continually by Spectral Regularization
Learning Continually by Spectral Regularization
Alex Lewandowski
Saurabh Kumar
Dale Schuurmans
András Gyorgy
Marlos C. Machado
CLL
94
6
0
10 Jun 2024
Merlin: A Vision Language Foundation Model for 3D Computed Tomography
Merlin: A Vision Language Foundation Model for 3D Computed Tomography
Louis Blankemeier
Joseph Paul Cohen
Ashwin Kumar
Dave Van Veen
Syed Jamal Safdar Gardezi
...
Andrew L. Wentland
C. Langlotz
Jason Hom
S. Gatidis
Akshay S. Chaudhari
LM&MAMedIm
98
41
0
10 Jun 2024
Towards Lifelong Learning of Large Language Models: A Survey
Towards Lifelong Learning of Large Language Models: A Survey
Junhao Zheng
Shengjie Qiu
Chengming Shi
Qianli Ma
KELMCLL
89
29
0
10 Jun 2024
A Parameter-efficient Language Extension Framework for Multilingual ASR
A Parameter-efficient Language Extension Framework for Multilingual ASR
Wei Liu
Jingyong Hou
Dong Yang
Muyong Cao
Tan Lee
CLL
125
2
0
10 Jun 2024
A Statistical Theory of Regularization-Based Continual Learning
A Statistical Theory of Regularization-Based Continual Learning
Xuyang Zhao
Huiyuan Wang
Weiran Huang
Wei Lin
81
19
0
10 Jun 2024
Distributionally Robust Safe Sample Screening
Distributionally Robust Safe Sample Screening
Hiroyuki Hanada
Aoyama Tatsuya
Akahane Satoshi
Tomonari Tanaka
Yoshito Okura
...
Shion Takeno
Taro Murayama
Hanju Lee
Shinya Kojima
Ichiro Takeuchi
OOD
43
0
0
10 Jun 2024
Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching
Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching
Xiaoying Zhang
Baolin Peng
Ye Tian
Jingyan Zhou
Yipeng Zhang
Haitao Mi
Helen Meng
CLLKELM
172
8
0
10 Jun 2024
CCSI: Continual Class-Specific Impression for Data-free Class
  Incremental Learning
CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning
Sana Ayromlou
Teresa S. M. Tsang
Purang Abolmaesumi
Xiaoxiao Li
CLL
76
2
0
09 Jun 2024
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models
Seungone Kim
Juyoung Suk
Ji Yong Cho
Shayne Longpre
Chaeeun Kim
...
Sean Welleck
Graham Neubig
Moontae Lee
Kyungjae Lee
Minjoon Seo
ELMALMLM&MA
208
44
0
09 Jun 2024
Online DPO: Online Direct Preference Optimization with Fast-Slow Chasing
Online DPO: Online Direct Preference Optimization with Fast-Slow Chasing
Biqing Qi
Pengfei Li
Fangyuan Li
Junqi Gao
Kaiyan Zhang
Bowen Zhou
104
18
0
08 Jun 2024
Data-Free Generative Replay for Class-Incremental Learning on Imbalanced
  Data
Data-Free Generative Replay for Class-Incremental Learning on Imbalanced Data
Sohaib Younis
Bernhard Seeger
86
0
0
07 Jun 2024
The Expanding Scope of the Stability Gap: Unveiling its Presence in
  Joint Incremental Learning of Homogeneous Tasks
The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous Tasks
Sandesh Kamath
Albin Soutif--Cormerais
Joost van de Weijer
Bogdan Raducanu
92
3
0
07 Jun 2024
Revisiting Catastrophic Forgetting in Large Language Model Tuning
Revisiting Catastrophic Forgetting in Large Language Model Tuning
Hongyu Li
Liang Ding
Meng Fang
Dacheng Tao
CLLKELM
95
19
0
07 Jun 2024
Efficient Continual Finite-Sum Minimization
Efficient Continual Finite-Sum Minimization
Ioannis Mavrothalassitis
Stratis Skoulakis
L. Dadi
Volkan Cevher
87
0
0
07 Jun 2024
LoRA-Whisper: Parameter-Efficient and Extensible Multilingual ASR
LoRA-Whisper: Parameter-Efficient and Extensible Multilingual ASR
Zheshu Song
Jianheng Zhuo
Yifan Yang
Ziyang Ma
Shixiong Zhang
Xie Chen
93
11
0
07 Jun 2024
CLoG: Benchmarking Continual Learning of Image Generation Models
CLoG: Benchmarking Continual Learning of Image Generation Models
Haotian Zhang
Junting Zhou
Haowei Lin
Hang Ye
Jianhua Zhu
Zihao Wang
Liangcai Gao
Yizhou Wang
Yitao Liang
DiffMVLM
77
3
0
07 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
120
14
0
07 Jun 2024
Step Out and Seek Around: On Warm-Start Training with Incremental Data
Step Out and Seek Around: On Warm-Start Training with Incremental Data
Maying Shen
Hongxu Yin
Pavlo Molchanov
Lei Mao
Jose M. Alvarez
CLL
106
1
0
06 Jun 2024
Towards Understanding Task-agnostic Debiasing Through the Lenses of
  Intrinsic Bias and Forgetfulness
Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness
Guangliang Liu
Milad Afshari
Xitong Zhang
Zhiyu Xue
Avrajit Ghosh
Bidhan Bashyal
Rongrong Wang
K. Johnson
85
0
0
06 Jun 2024
HackAtari: Atari Learning Environments for Robust and Continual
  Reinforcement Learning
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning
Quentin Delfosse
Johannes Czech
Bjarne Gregori
Kristian Kersting
99
8
0
06 Jun 2024
Memorization in deep learning: A survey
Memorization in deep learning: A survey
Jiaheng Wei
Yanjun Zhang
Leo Yu Zhang
Ming Ding
Chao Chen
Kok-Leong Ong
Jun Zhang
Yang Xiang
121
8
0
06 Jun 2024
Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All
  You Need
Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All You Need
Martin Wistuba
Prabhu Teja Sivaprasad
Lukas Balles
Giovanni Zappella
90
1
0
05 Jun 2024
Continual Traffic Forecasting via Mixture of Experts
Continual Traffic Forecasting via Mixture of Experts
Sanghyun Lee
Chanyoung Park
CLL
102
4
0
05 Jun 2024
Decision Boundary-aware Knowledge Consolidation Generates Better
  Instance-Incremental Learner
Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental Learner
Qiang Nie
Weifu Fu
Yuhuan Lin
Jialin Li
Yifeng Zhou
Yong Liu
Lei Zhu
Chengjie Wang
104
0
0
05 Jun 2024
Mutual Information Guided Backdoor Mitigation for Pre-trained Encoders
Mutual Information Guided Backdoor Mitigation for Pre-trained Encoders
Tingxu Han
Weisong Sun
Ziqi Ding
Chunrong Fang
Hanwei Qian
Jiaxun Li
Zhenyu Chen
Xiangyu Zhang
AAML
100
7
0
05 Jun 2024
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning
  for Video Data Drift
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning for Video Data Drift
Peng Zhao
Runchu Dong
Guiqin Wang
Cong Zhao
126
2
0
05 Jun 2024
Harnessing Neural Unit Dynamics for Effective and Scalable
  Class-Incremental Learning
Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning
Depeng Li
Tianqi Wang
Junwei Chen
Wei Dai
Zhigang Zeng
CLL
96
1
0
04 Jun 2024
EchoMamba4Rec: Harmonizing Bidirectional State Space Models with
  Spectral Filtering for Advanced Sequential Recommendation
EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential Recommendation
Yuda Wang
Xuxin He
Shengxin Zhu
Mamba
123
9
0
04 Jun 2024
Parameterizing Federated Continual Learning for Reproducible Research
Parameterizing Federated Continual Learning for Reproducible Research
Bart Cox
Jeroen Galjaard
Aditya Shankar
Jérémie Decouchant
Lydia Y. Chen
FedML
107
0
0
04 Jun 2024
Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene
  Classification
Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification
M. A. Ma'sum
Mahardhika Pratama
Ramasamy Savitha
Lin Liu
Habibullah Habibullah
Ryszard Kowalczyk
CLL
137
2
0
04 Jun 2024
HPE-CogVLM: New Head Pose Grounding Task Exploration on Vision Language
  Model
HPE-CogVLM: New Head Pose Grounding Task Exploration on Vision Language Model
Yu Tian
Tianqi Shao
Tsukasa Demizu
Xuyang Wu
Hsin-Tai Wu
75
3
0
04 Jun 2024
Towards Effective Time-Aware Language Representation: Exploring Enhanced Temporal Understanding in Language Models
Towards Effective Time-Aware Language Representation: Exploring Enhanced Temporal Understanding in Language Models
Jiexin Wang
Adam Jatowt
Yi Cai
AI4CE
111
1
0
04 Jun 2024
The Empirical Impact of Forgetting and Transfer in Continual Visual
  Odometry
The Empirical Impact of Forgetting and Transfer in Continual Visual Odometry
Paolo Cudrano
Xiaoyu Luo
Matteo Matteucci
CLL
65
0
0
03 Jun 2024
Position: Cracking the Code of Cascading Disparity Towards Marginalized
  Communities
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities
G. Farnadi
Mohammad Havaei
Negar Rostamzadeh
82
3
0
03 Jun 2024
The Life Cycle of Large Language Models: A Review of Biases in Education
The Life Cycle of Large Language Models: A Review of Biases in Education
Jinsook Lee
Yann Hicke
Renzhe Yu
Christopher A. Brooks
René F. Kizilcec
AI4Ed
109
2
0
03 Jun 2024
iKAN: Global Incremental Learning with KAN for Human Activity
  Recognition Across Heterogeneous Datasets
iKAN: Global Incremental Learning with KAN for Human Activity Recognition Across Heterogeneous Datasets
Mengxi Liu
Sizhen Bian
Bo Zhou
P. Lukowicz
HAICLL
82
22
0
03 Jun 2024
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