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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 / 3,716 papers shown
Title
Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in
  Proxy-based Continual Learning
Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in Proxy-based Continual Learning
Hongye Xu
Jan Wasilewski
Bartosz Krawczyk
CLL
125
0
0
19 Dec 2024
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
Anthony Kobanda
Rémy Portelas
Odalric-Ambrym Maillard
Ludovic Denoyer
OffRL
CLL
92
0
0
19 Dec 2024
Enabling Realtime Reinforcement Learning at Scale with Staggered
  Asynchronous Inference
Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference
Matthew D Riemer
G. Subbaraj
Glen Berseth
Irina Rish
OffRL
92
1
0
18 Dec 2024
ConDo: Continual Domain Expansion for Absolute Pose Regression
ConDo: Continual Domain Expansion for Absolute Pose Regression
Zijun Li
Z. Cai
B. Yang
Xuelun Shen
Siqi Shen
Xiaoliang Fan
Michael Paulitsch
Cheng-Yu Wang
CLL
103
0
0
18 Dec 2024
Enhancing Talk Moves Analysis in Mathematics Tutoring through Classroom
  Teaching Discourse
Enhancing Talk Moves Analysis in Mathematics Tutoring through Classroom Teaching Discourse
Jie Cao
Abhijit Suresh
Jennifer Jacobs
Charis Clevenger
Amanda Howard
Chelsea Brown
Brent Milne
Tom Fischaber
T. Sumner
James H. Martin
91
1
0
18 Dec 2024
Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
Yichen Li
Yuying Wang
Haozhao Wang
Yining Qi
Tianzhe Xiao
Ruixuan Li
132
1
0
18 Dec 2024
Relation-Guided Adversarial Learning for Data-free Knowledge Transfer
Relation-Guided Adversarial Learning for Data-free Knowledge Transfer
Yingping Liang
Ying Fu
82
1
0
16 Dec 2024
Linked Adapters: Linking Past and Future to Present for Effective
  Continual Learning
Linked Adapters: Linking Past and Future to Present for Effective Continual Learning
Dupati Srikar Chandra
P. K. Srijith
Dana Rezazadegan
Chris McCarthy
CLL
83
0
0
14 Dec 2024
CONCLAD: COntinuous Novel CLAss Detector
CONCLAD: COntinuous Novel CLAss Detector
Amanda Rios
I. Ndiour
Parual Datta
Omesh Tickoo
Nilesh A. Ahuja
113
0
0
13 Dec 2024
Feat2GS: Probing Visual Foundation Models with Gaussian Splatting
Feat2GS: Probing Visual Foundation Models with Gaussian Splatting
Yue Chen
Xingyu Chen
Anpei Chen
Gerard Pons-Moll
Yuliang Xiu
3DGS
101
3
0
12 Dec 2024
Scaling Sequential Recommendation Models with Transformers
Scaling Sequential Recommendation Models with Transformers
Pablo Zivic
Hernán Ceferino Vázquez
Jorge Sanchez
OffRL
LRM
91
1
0
10 Dec 2024
Parseval Regularization for Continual Reinforcement Learning
Parseval Regularization for Continual Reinforcement Learning
Wesley Chung
Lynn Cherif
David Meger
Doina Precup
CLL
96
2
0
10 Dec 2024
How to Merge Your Multimodal Models Over Time?
How to Merge Your Multimodal Models Over Time?
Sebastian Dziadzio
Vishaal Udandarao
Karsten Roth
Ameya Prabhu
Zeynep Akata
Samuel Albanie
Matthias Bethge
MoMe
121
4
0
09 Dec 2024
Class Balance Matters to Active Class-Incremental Learning
Class Balance Matters to Active Class-Incremental Learning
Zitong Huang
Zhaoyu Chen
Yuanze Li
Bowen Dong
Erjin Zhou
Y. Liu
Rick Siow Mong Goh
Chun-Mei Feng
W. Zuo
CLL
96
0
0
09 Dec 2024
Continual Learning for Segment Anything Model Adaptation
Continual Learning for Segment Anything Model Adaptation
Jinglong Yang
Yichen Wu
Jun Cen
Wenjian Huang
Hong Wang
Jianguo Zhang
TTA
CLL
100
0
0
09 Dec 2024
Towards Brain Passage Retrieval -- An Investigation of EEG Query Representations
Towards Brain Passage Retrieval -- An Investigation of EEG Query Representations
Niall McGuire
Yashar Moshfeghi
62
0
0
09 Dec 2024
Directed Structural Adaptation to Overcome Statistical Conflicts and
  Enable Continual Learning
Directed Structural Adaptation to Overcome Statistical Conflicts and Enable Continual Learning
Zeki Doruk Erden
Boi Faltings
72
2
0
05 Dec 2024
Sustainable Self-evolution Adversarial Training
Sustainable Self-evolution Adversarial Training
Wenxuan Wang
Chenglei Wang
Huihui Qi
Menghao Ye
Xuelin Qian
Peng Wang
Yanning Zhang
AAML
96
0
0
03 Dec 2024
Deep evolving semi-supervised anomaly detection
Deep evolving semi-supervised anomaly detection
Jack Belham
Aryan Bhosale
Samrat Mukherjee
Biplab Banerjee
Fabio Cuzzolin
82
0
0
01 Dec 2024
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA
Haodong Lu
Chongyang Zhao
Jason Xue
Lina Yao
Kristen Moore
Dong Gong
CLL
KELM
VLM
113
6
0
01 Dec 2024
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning
  Zero-Shot Models
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models
Kaican Li
Weiyan Xie
Yongxiang Huang
Didan Deng
Lanqing Hong
Zechao Li
Ricardo Silva
N. Zhang
92
0
0
29 Nov 2024
DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual
  Learning
DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning
Haiyang Guo
Fei Zhu
Fanhu Zeng
Bing Liu
Xu-Yao Zhang
MoMe
CLL
103
3
0
28 Nov 2024
Emergence of Self-Identity in AI: A Mathematical Framework and Empirical
  Study with Generative Large Language Models
Emergence of Self-Identity in AI: A Mathematical Framework and Empirical Study with Generative Large Language Models
Minhyeok Lee
87
0
0
27 Nov 2024
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
81
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
90
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
95
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
76
2
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
108
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
93
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
99
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
78
0
0
21 Nov 2024
Dealing with Synthetic Data Contamination in Online Continual Learning
Dealing with Synthetic Data Contamination in Online Continual Learning
Maorong Wang
Nicolas Michel
Jiafeng Mao
Toshihiko Yamasaki
67
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
82
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
82
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
56
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
95
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
92
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
31
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
72
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
41
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
55
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
78
1
0
11 Nov 2024
Slowing Down Forgetting in Continual Learning
Slowing Down Forgetting in Continual Learning
Pascal Janetzky
Tobias Schlagenhauf
Stefan Feuerriegel
CLL
62
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
51
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
67
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
54
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
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