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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 / 3,810 papers shown
Title
Modality Translation for Object Detection Adaptation Without Forgetting
  Prior Knowledge
Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge
H. R. Medeiros
Masih Aminbeidokhti
F. Guerrero-Peña
David Latortue
Eric Granger
M. Pedersoli
VLM
134
2
0
01 Apr 2024
Make Continual Learning Stronger via C-Flat
Make Continual Learning Stronger via C-Flat
Ang Bian
Wei Li
Hangjie Yuan
Chengrong Yu
Zixiang Zhao
Mang Wang
Aojun Lu
Tao Feng
88
13
0
01 Apr 2024
Continual Learning for Smart City: A Survey
Continual Learning for Smart City: A Survey
Li Yang
Zhipeng Luo
Shi-sheng Zhang
Fei Teng
Tian-Jie Li
HAI
98
9
0
01 Apr 2024
Slightly Shift New Classes to Remember Old Classes for Video
  Class-Incremental Learning
Slightly Shift New Classes to Remember Old Classes for Video Class-Incremental Learning
Jian Jiao
Yu Dai
Hefei Mei
Heqian Qiu
Chuanyang Gong
Shiyuan Tang
Xinpeng Hao
Hongliang Li
CLLVLM
72
0
0
01 Apr 2024
$R^2$-Tuning: Efficient Image-to-Video Transfer Learning for Video
  Temporal Grounding
R2R^2R2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding
Ye Liu
Jixuan He
Wanhua Li
Junsik Kim
D. Wei
Hanspeter Pfister
Chang Wen Chen
99
17
0
31 Mar 2024
Rehearsal-Free Modular and Compositional Continual Learning for Language
  Models
Rehearsal-Free Modular and Compositional Continual Learning for Language Models
Mingyang Wang
Heike Adel
Lukas Lange
Jannik Strötgen
Hinrich Schütze
KELMCLL
87
16
0
31 Mar 2024
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual
  Learning
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning
Mohamed Elsayed
A. Rupam Mahmood
CLL
126
26
0
31 Mar 2024
Continual Learning for Autonomous Robots: A Prototype-based Approach
Continual Learning for Autonomous Robots: A Prototype-based Approach
Elvin Hajizada
Balachandran Swaminathan
Yulia Sandamirskaya
CLL
128
3
0
30 Mar 2024
Orchestrate Latent Expertise: Advancing Online Continual Learning with
  Multi-Level Supervision and Reverse Self-Distillation
Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation
Hongwei Yan
Liyuan Wang
Kaisheng Ma
Yi Zhong
CLL
100
7
0
30 Mar 2024
Aurora-M: The First Open Source Multilingual Language Model Red-teamed
  according to the U.S. Executive Order
Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order
Taishi Nakamura
Mayank Mishra
Simone Tedeschi
Yekun Chai
Jason T Stillerman
...
Virendra Mehta
Matthew Blumberg
Victor May
Huu Nguyen
S. Pyysalo
LRM
102
8
0
30 Mar 2024
Reusable Architecture Growth for Continual Stereo Matching
Reusable Architecture Growth for Continual Stereo Matching
Chenghao Zhang
Gaofeng Meng
Bin Fan
Kun Tian
Zhaoxiang Zhang
Shiming Xiang
Chunhong Pan
3DV
89
4
0
30 Mar 2024
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
Yan-Shuo Liang
Wu-Jun Li
CLL
143
63
0
30 Mar 2024
Convolutional Prompting meets Language Models for Continual Learning
Convolutional Prompting meets Language Models for Continual Learning
Anurag Roy
Riddhiman Moulick
Vinay Kumar Verma
Saptarshi Ghosh
Abir Das
VLMCLLLRM
72
18
0
29 Mar 2024
LayerNorm: A key component in parameter-efficient fine-tuning
LayerNorm: A key component in parameter-efficient fine-tuning
Taha ValizadehAslani
Hualou Liang
87
1
0
29 Mar 2024
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with
  Visual Prompt Tuning
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning
Beomyoung Kim
Joonsang Yu
Sung Ju Hwang
VLMCLL
105
16
0
29 Mar 2024
Selective Attention-based Modulation for Continual Learning
Selective Attention-based Modulation for Continual Learning
Giovanni Bellitto
Federica Proietto Salanitri
M. Pennisi
Matteo Boschini
Angelo Porrello
Simone Calderara
S. Palazzo
C. Spampinato
CLL
95
1
0
29 Mar 2024
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for
  Vision-Language Models
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models
Saurav Jha
Dong Gong
Lina Yao
CLIPVLM
154
11
0
28 Mar 2024
Intelligent Learning Rate Distribution to reduce Catastrophic Forgetting
  in Transformers
Intelligent Learning Rate Distribution to reduce Catastrophic Forgetting in Transformers
Philip Kenneweg
Alexander Schulz
Sarah Schröder
Barbara Hammer
CLL
70
3
0
27 Mar 2024
OrCo: Towards Better Generalization via Orthogonality and Contrast for
  Few-Shot Class-Incremental Learning
OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning
Noor Ahmed
Anna Kukleva
Bernt Schiele
CLL
104
14
0
27 Mar 2024
Generative Multi-modal Models are Good Class-Incremental Learners
Generative Multi-modal Models are Good Class-Incremental Learners
Xusheng Cao
Haori Lu
Linlan Huang
Xialei Liu
Ming-Ming Cheng
CLL
101
15
0
27 Mar 2024
Branch-Tuning: Balancing Stability and Plasticity for Continual
  Self-Supervised Learning
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning
Wenzhuo Liu
Fei Zhu
Cheng-Lin Liu
CLL
126
2
0
27 Mar 2024
Enhancing Generative Class Incremental Learning Performance with Model
  Forgetting Approach
Enhancing Generative Class Incremental Learning Performance with Model Forgetting Approach
Taro Togo
Ren Togo
Keisuke Maeda
Takahiro Ogawa
Miki Haseyama
54
1
0
27 Mar 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Huiyi Wang
Haodong Lu
Lina Yao
Dong Gong
KELMCLL
126
13
0
27 Mar 2024
Large scale paired antibody language models
Large scale paired antibody language models
Henry Kenlay
Frédéric A. Dreyer
A. Kovaltsuk
Dom Miketa
Douglas Pires
Charlotte M. Deane
71
25
0
26 Mar 2024
Continual Few-shot Event Detection via Hierarchical Augmentation
  Networks
Continual Few-shot Event Detection via Hierarchical Augmentation Networks
Chenlong Zhang
Pengfei Cao
Yubo Chen
Kang Liu
Qing Cui
Mengshu Sun
Jun Zhao
78
3
0
26 Mar 2024
DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free
  Class-Incremental Learning
DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning
Huiping Zhuang
Run He
Kai Tong
Huiping Zhuang
Cen Chen
Zhiping Lin
CLL
60
22
0
26 Mar 2024
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance
Jiasheng Ye
Peiju Liu
Tianxiang Sun
Yunhua Zhou
Jun Zhan
Xipeng Qiu
158
79
0
25 Mar 2024
One-Shot Domain Incremental Learning
One-Shot Domain Incremental Learning
Yasushi Esaki
Satoshi Koide
Takuro Kutsuna
CLLVLM
122
1
0
25 Mar 2024
Partially Blinded Unlearning: Class Unlearning for Deep Networks a
  Bayesian Perspective
Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian Perspective
Subhodip Panda
S. Sourav
Prathosh A.P.
MU
110
4
0
24 Mar 2024
Enhancing Visual Continual Learning with Language-Guided Supervision
Enhancing Visual Continual Learning with Language-Guided Supervision
Bolin Ni
Hongbo Zhao
Chenghao Zhang
Ke Hu
Gaofeng Meng
Zhaoxiang Zhang
Shiming Xiang
CLLVLM
135
4
0
24 Mar 2024
Towards Low-Energy Adaptive Personalization for Resource-Constrained
  Devices
Towards Low-Energy Adaptive Personalization for Resource-Constrained Devices
Yushan Huang
Josh Millar
Yuxuan Long
Yuchen Zhao
Hamed Haddadi
122
0
0
23 Mar 2024
AOCIL: Exemplar-free Analytic Online Class Incremental Learning with Low
  Time and Resource Consumption
AOCIL: Exemplar-free Analytic Online Class Incremental Learning with Low Time and Resource Consumption
Huiping Zhuang
Yuchen Liu
Run He
Kai Tong
Huiping Zhuang
Cen Chen
Yi Wang
Lap-Pui Chau
CLL
85
4
0
23 Mar 2024
G-ACIL: Analytic Learning for Exemplar-Free Generalized Class
  Incremental Learning
G-ACIL: Analytic Learning for Exemplar-Free Generalized Class Incremental Learning
Huiping Zhuang
Yizhu Chen
Di Fang
Run He
Kai Tong
Jianguo Huang
Huiping Zhuang
Cen Chen
CLL
92
1
0
23 Mar 2024
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness
Jaeill Kim
Wonseok Lee
Moonjung Eo
Wonjong Rhee
CLL
123
0
0
22 Mar 2024
UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction
UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction
Lan Feng
Mohammadhossein Bahari
Kaouther Messaoud Ben Amor
Éloi Zablocki
Matthieu Cord
Alexandre Alahi
116
31
0
22 Mar 2024
Continual Vision-and-Language Navigation
Continual Vision-and-Language Navigation
Seongjun Jeong
Gi-Cheon Kang
Seongho Choi
Joochan Kim
Byoung-Tak Zhang
109
2
0
22 Mar 2024
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Zeyu Han
Chao Gao
Jinyang Liu
Jeff Zhang
Sai Qian Zhang
347
439
0
21 Mar 2024
DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video
  Analytics
DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video Analytics
Yoonsung Kim
Changhun Oh
Jinwoo Hwang
Wonung Kim
Seongryong Oh
Yubin Lee
Hardik Sharma
Amir Yazdanbakhsh
Jongse Park
111
9
0
21 Mar 2024
Text-Enhanced Data-free Approach for Federated Class-Incremental
  Learning
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning
Minh-Tuan Tran
Trung Le
Xuan-May Le
Mehrtash Harandi
Dinh Q. Phung
CLL
117
10
0
21 Mar 2024
Hyacinth6B: A large language model for Traditional Chinese
Hyacinth6B: A large language model for Traditional Chinese
Chih-Wei Song
Yin-Te Tsai
107
0
0
20 Mar 2024
A Unified and General Framework for Continual Learning
A Unified and General Framework for Continual Learning
Zhenyi Wang
Yan Li
Li Shen
Heng-Chiao Huang
CLL
94
23
0
20 Mar 2024
REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning
REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning
Run He
Huiping Zhuang
Di Fang
Yizhu Chen
Kai Tong
Cen Chen
Lap-Pui Chau
Huiping Zhuang
154
2
0
20 Mar 2024
LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images
LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images
Jing Zhang
Irving Fang
Juexiao Zhang
Hao Wu
Akshat Kaushik
Alice Rodriguez
Hanwen Zhao
Zhuo Zheng
Radu Iovita
Chen Feng
80
5
0
19 Mar 2024
Self-generated Replay Memories for Continual Neural Machine Translation
Self-generated Replay Memories for Continual Neural Machine Translation
Michele Resta
Davide Bacciu
CLL
76
4
0
19 Mar 2024
Unveiling the Anomalies in an Ever-Changing World: A Benchmark for
  Pixel-Level Anomaly Detection in Continual Learning
Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning
Nikola Bugarin
Jovana Bugaric
Manuel Barusco
Davide Dalle Pezze
Gian Antonio Susto
108
4
0
19 Mar 2024
Confidence Self-Calibration for Multi-Label Class-Incremental Learning
Confidence Self-Calibration for Multi-Label Class-Incremental Learning
Kaile Du
Yifan Zhou
Fan Lyu
Yuyang Li
Chen Lu
Guangcan Liu
CLL
97
3
0
19 Mar 2024
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning
Divyansh Jhunjhunwala
Shiqiang Wang
Gauri Joshi
FedML
75
14
0
19 Mar 2024
Continual Domain Randomization
Continual Domain Randomization
Josip Josifovski
Sayantan Auddy
M. Malmir
J. Piater
Alois C. Knoll
Nicolás Navarro
67
3
0
18 Mar 2024
Expandable Subspace Ensemble for Pre-Trained Model-Based
  Class-Incremental Learning
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
Da-Wei Zhou
Hai-Long Sun
Han-Jia Ye
De-Chuan Zhan
CLL
109
69
0
18 Mar 2024
Informed Spectral Normalized Gaussian Processes for Trajectory
  Prediction
Informed Spectral Normalized Gaussian Processes for Trajectory Prediction
Christian Schlauch
Christian Wirth
Nadja Klein
83
1
0
18 Mar 2024
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