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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
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Papers citing "Overcoming catastrophic forgetting in neural networks"

50 / 3,693 papers shown
Title
Continual Learning in Machine Speech Chain Using Gradient Episodic
  Memory
Continual Learning in Machine Speech Chain Using Gradient Episodic Memory
Geoffrey Tyndall
Kurniawati Azizah
Dipta Tanaya
Ayu Purwarianti
Dessi Lestari
S. Sakti
CLL
73
0
0
27 Nov 2024
A gentle push funziona benissimo: making instructed models in Italian
  via contrastive activation steering
A gentle push funziona benissimo: making instructed models in Italian via contrastive activation steering
Daniel Scalena
Elisabetta Fersini
Malvina Nissim
LLMSV
83
0
0
27 Nov 2024
DECODE: Domain-aware Continual Domain Expansion for Motion Prediction
DECODE: Domain-aware Continual Domain Expansion for Motion Prediction
Boqi Li
Haojie Zhu
Henry X. Liu
92
0
0
26 Nov 2024
Modality-Incremental Learning with Disjoint Relevance Mapping Networks
  for Image-based Semantic Segmentation
Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation
Niharika Hegde
Shishir Muralidhara
René Schuster
Didier Stricker
CLL
91
1
0
26 Nov 2024
Continual Deep Reinforcement Learning with Task-Agnostic Policy
  Distillation
Continual Deep Reinforcement Learning with Task-Agnostic Policy Distillation
Muhammad Burhan Hafez
Kerim Erekmen
CLL
66
1
0
25 Nov 2024
BadSFL: Backdoor Attack against Scaffold Federated Learning
BadSFL: Backdoor Attack against Scaffold Federated Learning
Xingshuo Han
Xuanye Zhang
Xiang Lan
Haozhao Wang
Shengmin Xu
Shen Ren
Jason Zeng
Ming Wu
Michael Heinrich
Tianwei Zhang
FedML
69
1
0
25 Nov 2024
Soft-TransFormers for Continual Learning
Soft-TransFormers for Continual Learning
Haeyong Kang
Chang D. Yoo
CLL
93
0
0
25 Nov 2024
RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks
RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks
Nazia Tasnim
Bryan A. Plummer
CLL
OffRL
79
0
0
25 Nov 2024
Revised Regularization for Efficient Continual Learning through
  Correlation-Based Parameter Update in Bayesian Neural Networks
Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks
Sanchar Palit
Biplab Banerjee
S. Chaudhuri
CLL
83
0
0
21 Nov 2024
CLFace: A Scalable and Resource-Efficient Continual Learning Framework
  for Lifelong Face Recognition
CLFace: A Scalable and Resource-Efficient Continual Learning Framework for Lifelong Face Recognition
Md Golam Moula Mehedi Hasan
S. Sami
Nasser M. Nasrabadi
CLL
73
0
0
21 Nov 2024
C$^{2}$INet: Realizing Incremental Trajectory Prediction with
  Prior-Aware Continual Causal Intervention
C2^{2}2INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention
Xiaohe Li
Feilong Huang
Zide Fan
Fangli Mou
Leilei Lin
Yingyan Hou
Lijie Wen
75
0
0
19 Nov 2024
Continual Task Learning through Adaptive Policy Self-Composition
Shengchao Hu
Yuhang Zhou
Ziqing Fan
Jifeng Hu
Li Shen
Ya Zhang
Dacheng Tao
OffRL
77
0
0
18 Nov 2024
Targeting Negative Flips in Active Learning using Validation Sets
Ryan Benkert
Mohit Prabhushankar
Ghassan AlRegib
AAML
45
0
0
16 Nov 2024
Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay
Feng Chen
Fuguang Han
Cong Guan
Lei Yuan
Zhilong Zhang
Yang Yu
Zongzhang Zhang
45
0
0
16 Nov 2024
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts
  on Tabular Data
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
Kai Helli
David Schnurr
Noah Hollmann
Samuel G. Müller
Frank Hutter
OOD
36
5
0
15 Nov 2024
FedCL-Ensemble Learning: A Framework of Federated Continual Learning
  with Ensemble Transfer Learning Enhanced for Alzheimer's MRI Classifications
  while Preserving Privacy
FedCL-Ensemble Learning: A Framework of Federated Continual Learning with Ensemble Transfer Learning Enhanced for Alzheimer's MRI Classifications while Preserving Privacy
Rishit Kapoor
Jesher Joshua
Muralidharan Vijayarangan
Natarajan B
FedML
OOD
76
0
0
15 Nov 2024
FedRewind: Rewinding Continual Model Exchange for Decentralized
  Federated Learning
FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning
Luca Palazzo
M. Pennisi
Federica Proietto Salanitri
Giovanni Bellitto
S. Palazzo
C. Spampinato
FedML
28
0
0
14 Nov 2024
A Practical Guide to Fine-tuning Language Models with Limited Data
A Practical Guide to Fine-tuning Language Models with Limited Data
Márton Szép
Daniel Rueckert
Rüdiger von Eisenhart-Rothe
Florian Hinterwimmer
SyDa
ALM
49
2
0
14 Nov 2024
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients
Satish Kumar Keshri
Nazreen Shah
Ranjitha Prasad
FedML
38
0
0
12 Nov 2024
An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning
An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning
Dong Li
Aijia Zhang
Junqi Gao
Biqing Qi
GNN
48
1
0
11 Nov 2024
Continual Memorization of Factoids in Language Models
Continual Memorization of Factoids in Language Models
Howard Chen
Jiayi Geng
Adithya Bhaskar
Dan Friedman
Danqi Chen
KELM
62
0
0
11 Nov 2024
Slowing Down Forgetting in Continual Learning
Slowing Down Forgetting in Continual Learning
Pascal Janetzky
Tobias Schlagenhauf
Stefan Feuerriegel
CLL
39
0
0
11 Nov 2024
Using Diffusion Models as Generative Replay in Continual Federated
  Learning -- What will Happen?
Using Diffusion Models as Generative Replay in Continual Federated Learning -- What will Happen?
Yongsheng Mei
Liangqi Yuan
Dong-Jun Han
Kevin S. Chan
Christopher G. Brinton
Tian-Shing Lan
43
0
0
10 Nov 2024
SEEKR: Selective Attention-Guided Knowledge Retention for Continual
  Learning of Large Language Models
SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models
Jinghan He
Haiyun Guo
Kuan Zhu
Zihan Zhao
Ming Tang
Jinqiao Wang
KELM
50
1
0
09 Nov 2024
Dynamic Textual Prompt For Rehearsal-free Lifelong Person
  Re-identification
Dynamic Textual Prompt For Rehearsal-free Lifelong Person Re-identification
Hongyu Chen
Bingliang Jiao
Wenxuan Wang
Peng Wang
VLM
51
0
0
09 Nov 2024
Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation
Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation
Xiwen Wei
Guihong Li
R. Marculescu
52
2
0
08 Nov 2024
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter
  Reset
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset
Alexandre Galashov
Michalis K. Titsias
Andras Gyorgy
Clare Lyle
Razvan Pascanu
Yee Whye Teh
Maneesh Sahani
43
4
0
06 Nov 2024
Exploring the Stability Gap in Continual Learning: The Role of the
  Classification Head
Exploring the Stability Gap in Continual Learning: The Role of the Classification Head
Wojciech Łapacz
Daniel Marczak
Filip Szatkowski
Tomasz Trzciñski
41
1
0
06 Nov 2024
Hierarchical Orchestra of Policies
Hierarchical Orchestra of Policies
Thomas P Cannon
Özgür Simsek
CLL
39
0
0
05 Nov 2024
Membership Inference Attacks against Large Vision-Language Models
Membership Inference Attacks against Large Vision-Language Models
Zhan Li
Yongtao Wu
Yihang Chen
F. Tonin
Elias Abad Rocamora
V. Cevher
44
4
0
05 Nov 2024
Continual Audio-Visual Sound Separation
Continual Audio-Visual Sound Separation
Weiguo Pian
Yiyang Nan
Shijian Deng
Shentong Mo
Yunhui Guo
Yapeng Tian
VLM
CLL
55
0
0
05 Nov 2024
Sparse Orthogonal Parameters Tuning for Continual Learning
Sparse Orthogonal Parameters Tuning for Continual Learning
Kun-Peng Ning
Hai-Jian Ke
Yu-Yang Liu
Jia-Yu Yao
Yong-Hong Tian
Li Yuan
CLL
35
1
0
05 Nov 2024
CIT: Rethinking Class-incremental Semantic Segmentation with a Class
  Independent Transformation
CIT: Rethinking Class-incremental Semantic Segmentation with a Class Independent Transformation
Jinchao Ge
Bowen Zhang
Akide Liu
Minh Hieu Phan
Qi Chen
Yangyang Shu
Yang Zhao
VLM
CLL
37
0
0
05 Nov 2024
Feature Map Similarity Reduction in Convolutional Neural Networks
Feature Map Similarity Reduction in Convolutional Neural Networks
Zakariae Belmekki
Jun Li
Patrick Reuter
David Antonio Gómez Jáuregui
Karl Jenkins
31
0
0
05 Nov 2024
On the Loss of Context-awareness in General Instruction Fine-tuning
On the Loss of Context-awareness in General Instruction Fine-tuning
Yihan Wang
Andrew Bai
Nanyun Peng
Cho-Jui Hsieh
177
1
0
05 Nov 2024
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning
  with Pre-Trained Models
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models
Linglan Zhao
Xuerui Zhang
K. Yan
Shouhong Ding
Weiran Huang
CLL
47
2
0
04 Nov 2024
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Yuchen He
Xiangfeng Wang
CLL
FedML
47
0
0
04 Nov 2024
FPPL: An Efficient and Non-IID Robust Federated Continual Learning
  Framework
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework
Yuchen He
Chuyun Shen
Xiangfeng Wang
Bo Jin
FedML
32
1
0
04 Nov 2024
Code-Switching Curriculum Learning for Multilingual Transfer in LLMs
Code-Switching Curriculum Learning for Multilingual Transfer in LLMs
Haneul Yoo
Cheonbok Park
Sangdoo Yun
Alice Oh
Hwaran Lee
42
3
0
04 Nov 2024
Not Just Object, But State: Compositional Incremental Learning without Forgetting
Not Just Object, But State: Compositional Incremental Learning without Forgetting
Yanyi Zhang
Binglin Qiu
Qi Jia
Yu Liu
Ran He
CLL
49
0
0
04 Nov 2024
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering
Deepayan Das
Davide Talon
Massimiliano Mancini
Yiming Wang
Elisa Ricci
55
0
0
04 Nov 2024
Efficient Non-Exemplar Class-Incremental Learning with Retrospective
  Feature Synthesis
Efficient Non-Exemplar Class-Incremental Learning with Retrospective Feature Synthesis
Liang Bai
Hong Song
Yucong Lin
Tianyu Fu
Deqiang Xiao
Danni Ai
Jingfan Fan
Jian Yang
CLL
46
0
0
03 Nov 2024
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular
  Property Prediction
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
Liang Wang
Qiang Liu
Shaozhen Liu
Xin Sun
Shu Wu
Liang Wang
51
2
0
02 Nov 2024
Class Incremental Learning with Task-Specific Batch Normalization and
  Out-of-Distribution Detection
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection
Xuchen Xie
Yiqiao Qiu
Run Lin
Weishi Zheng
Ruixuan Wang
CLL
57
0
0
01 Nov 2024
Black-Box Forgetting
Black-Box Forgetting
Yusuke Kuwana
Yuta Goto
Takashi Shibata
Go Irie
CLL
MU
VLM
31
0
0
01 Nov 2024
NCAdapt: Dynamic adaptation with domain-specific Neural Cellular
  Automata for continual hippocampus segmentation
NCAdapt: Dynamic adaptation with domain-specific Neural Cellular Automata for continual hippocampus segmentation
Amin Ranem
John Kalkhof
Anirban Mukhopadhyay
33
0
0
30 Oct 2024
Permutation Invariant Learning with High-Dimensional Particle Filters
Permutation Invariant Learning with High-Dimensional Particle Filters
Akhilan Boopathy
Aneesh Muppidi
Peggy Yang
Abhiram Iyer
William Yue
Ila R Fiete
SSL
51
0
0
30 Oct 2024
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
Daehee Lee
Minjong Yoo
Woo Kyung Kim
Wonje Choi
Honguk Woo
CLL
101
5
0
30 Oct 2024
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
Michael T. Matthews
Michael Beukman
Chris Xiaoxuan Lu
Jakob Foerster
OffRL
AI4CE
41
3
0
30 Oct 2024
Enhancing Safety and Robustness of Vision-Based Controllers via
  Reachability Analysis
Enhancing Safety and Robustness of Vision-Based Controllers via Reachability Analysis
Kaustav Chakraborty
Aryaman Gupta
Somil Bansal
31
2
0
29 Oct 2024
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