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Continual Learning of Context-dependent Processing in Neural Networks

Continual Learning of Context-dependent Processing in Neural Networks

29 September 2018
Guanxiong Zeng
Yang Chen
Bo Cui
Shan Yu
    CLL
ArXivPDFHTML

Papers citing "Continual Learning of Context-dependent Processing in Neural Networks"

50 / 133 papers shown
Title
Diversifying the Mixture-of-Experts Representation for Language Models
  with Orthogonal Optimizer
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer
Boan Liu
Liang Ding
Li Shen
Keqin Peng
Yu Cao
Dazhao Cheng
Dacheng Tao
MoE
36
7
0
15 Oct 2023
Elephant Neural Networks: Born to Be a Continual Learner
Elephant Neural Networks: Born to Be a Continual Learner
Qingfeng Lan
A. R. Mahmood
CLL
42
9
0
02 Oct 2023
Class Incremental Learning via Likelihood Ratio Based Task Prediction
Class Incremental Learning via Likelihood Ratio Based Task Prediction
Haowei Lin
Yijia Shao
W. Qian
Ningxin Pan
Yiduo Guo
Bing-Quan Liu
CLL
31
13
0
26 Sep 2023
Continual Learning From a Stream of APIs
Continual Learning From a Stream of APIs
Enneng Yang
Zhenyi Wang
Li Shen
Nan Yin
Tongliang Liu
Guibing Guo
Xingwei Wang
Dacheng Tao
CLL
27
3
0
31 Aug 2023
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in
  Federated Learning
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
Gihun Lee
Minchan Jeong
Sangmook Kim
Jaehoon Oh
Se-Young Yun
FedML
26
8
0
24 Aug 2023
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio
  Detection
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection
Xiaohui Zhang
Jiangyan Yi
J. Tao
Chenglong Wang
Chuyuan Zhang
CLL
36
22
0
07 Aug 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual
  Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELM
MU
31
47
0
16 Jul 2023
Learnability and Algorithm for Continual Learning
Learnability and Algorithm for Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Bin Liu
CLL
37
24
0
22 Jun 2023
Complementary Learning Subnetworks for Parameter-Efficient
  Class-Incremental Learning
Complementary Learning Subnetworks for Parameter-Efficient Class-Incremental Learning
Depeng Li
Zhigang Zeng
CLL
25
1
0
21 Jun 2023
IF2Net: Innately Forgetting-Free Networks for Continual Learning
IF2Net: Innately Forgetting-Free Networks for Continual Learning
Depeng Li
Tianqi Wang
Bingrong Xu
Kenji Kawaguchi
Zhigang Zeng
Ponnuthurai Nagaratnam Suganthan
CLL
124
2
0
18 Jun 2023
Multi-View Class Incremental Learning
Multi-View Class Incremental Learning
Depeng Li
Tianqi Wang
Junwei Chen
Kenji Kawaguchi
Cheng Lian
Zhigang Zeng
CLL
66
9
0
16 Jun 2023
Out-of-distribution forgetting: vulnerability of continual learning to
  intra-class distribution shift
Out-of-distribution forgetting: vulnerability of continual learning to intra-class distribution shift
Liangxuan Guo
Yang Chen
Shan Yu
OODD
CLL
18
2
0
01 Jun 2023
Dealing with Cross-Task Class Discrimination in Online Continual
  Learning
Dealing with Cross-Task Class Discrimination in Online Continual Learning
Yiduo Guo
Bing-Quan Liu
Dongyan Zhao
CLL
26
20
0
24 May 2023
Active Continual Learning: On Balancing Knowledge Retention and
  Learnability
Active Continual Learning: On Balancing Knowledge Retention and Learnability
Thuy-Trang Vu
Shahram Khadivi
Mahsa Ghorbanali
Dinh Q. Phung
Gholamreza Haffari
CLL
11
3
0
06 May 2023
The Ideal Continual Learner: An Agent That Never Forgets
The Ideal Continual Learner: An Agent That Never Forgets
Liangzu Peng
Paris V. Giampouras
René Vidal
CLL
106
26
0
29 Apr 2023
Regularizing Second-Order Influences for Continual Learning
Regularizing Second-Order Influences for Continual Learning
Zhicheng Sun
Yadong Mu
G. Hua
CLL
11
22
0
20 Apr 2023
Open-World Continual Learning: Unifying Novelty Detection and Continual
  Learning
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Zixuan Ke
Bin Liu
CLL
OODD
29
12
0
20 Apr 2023
A Study of Biologically Plausible Neural Network: The Role and
  Interactions of Brain-Inspired Mechanisms in Continual Learning
A Study of Biologically Plausible Neural Network: The Role and Interactions of Brain-Inspired Mechanisms in Continual Learning
F. Sarfraz
Elahe Arani
Bahram Zonooz
27
2
0
13 Apr 2023
Emergence of Symbols in Neural Networks for Semantic Understanding and
  Communication
Emergence of Symbols in Neural Networks for Semantic Understanding and Communication
Yang Chen
Liangxuan Guo
S. Yu
14
1
0
13 Apr 2023
Guided Transfer Learning
Guided Transfer Learning
Danilo Nikolić
Davor Andrić
V. Nikolić
16
1
0
26 Mar 2023
Efficient Self-supervised Continual Learning with Progressive
  Task-correlated Layer Freezing
Efficient Self-supervised Continual Learning with Progressive Task-correlated Layer Freezing
Li Yang
Sen Lin
Fan Zhang
Junshan Zhang
Deliang Fan
CLL
14
6
0
13 Mar 2023
A Survey of Geometric Optimization for Deep Learning: From Euclidean
  Space to Riemannian Manifold
A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold
Yanhong Fei
Xian Wei
Yingjie Liu
Zhengyu Li
Mingsong Chen
20
6
0
16 Feb 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Pouya Hamadanian
Arash Nasr-Esfahany
Malte Schwarzkopf
Siddartha Sen
MohammadIman Alizadeh
CLL
OffRL
45
0
0
04 Feb 2023
Continual Learning with Scaled Gradient Projection
Continual Learning with Scaled Gradient Projection
Gobinda Saha
Kaushik Roy
CLL
11
26
0
02 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELM
CLL
36
598
0
31 Jan 2023
Restricted Orthogonal Gradient Projection for Continual Learning
Restricted Orthogonal Gradient Projection for Continual Learning
Zeyuan Yang
Zonghan Yang
Peng Li
Yang Liu
CLL
24
4
0
28 Jan 2023
Lifelong Reinforcement Learning with Modulating Masks
Lifelong Reinforcement Learning with Modulating Masks
Eseoghene Ben-Iwhiwhu
Saptarshi Nath
Praveen K. Pilly
Soheil Kolouri
Andrea Soltoggio
CLL
OffRL
32
20
0
21 Dec 2022
Bio-Inspired, Task-Free Continual Learning through Activity
  Regularization
Bio-Inspired, Task-Free Continual Learning through Activity Regularization
Francesco Lassig
Pau Vilimelis Aceituno
M. Sorbaro
Benjamin Grewe
CLL
25
8
0
08 Dec 2022
Integral Continual Learning Along the Tangent Vector Field of Tasks
Integral Continual Learning Along the Tangent Vector Field of Tasks
Tianlin Liu
Aditya Golatkar
Stefano Soatto
Alessandro Achille
CLL
14
3
0
23 Nov 2022
Continual Learning of Natural Language Processing Tasks: A Survey
Continual Learning of Natural Language Processing Tasks: A Survey
Zixuan Ke
Bin Liu
KELM
CLL
VLM
21
68
0
23 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning
Hierarchically Structured Task-Agnostic Continual Learning
Heinke Hihn
Daniel A. Braun
BDL
CLL
19
8
0
14 Nov 2022
Beyond Not-Forgetting: Continual Learning with Backward Knowledge
  Transfer
Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer
Sen Lin
Li Yang
Deliang Fan
Junshan Zhang
CLL
111
42
0
01 Nov 2022
Continual task learning in natural and artificial agents
Continual task learning in natural and artificial agents
Timo Flesch
Andrew M. Saxe
Christopher Summerfield
CLL
35
24
0
10 Oct 2022
Domain Discrepancy Aware Distillation for Model Aggregation in Federated
  Learning
Domain Discrepancy Aware Distillation for Model Aggregation in Federated Learning
Shangchao Su
Bin Li
Xiangyang Xue
FedML
31
1
0
04 Oct 2022
Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data
Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data
Zhe Huang
Mary-Joy Sidhom
B. Wessler
M. C. Hughes
27
10
0
25 Aug 2022
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay
Gyuhak Kim
Zixuan Ke
Bin Liu
VLM
CLL
OODD
15
29
0
20 Aug 2022
A Theory for Knowledge Transfer in Continual Learning
A Theory for Knowledge Transfer in Continual Learning
Diana Benavides-Prado
Patricia J. Riddle
CLL
29
13
0
14 Aug 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for
  Domain Incremental Learning
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning
Yabin Wang
Zhiwu Huang
Xiaopeng Hong
CLL
VLM
27
208
0
26 Jul 2022
Balancing Stability and Plasticity through Advanced Null Space in
  Continual Learning
Balancing Stability and Plasticity through Advanced Null Space in Continual Learning
Yajing Kong
Liu Liu
Zhen Wang
Dacheng Tao
CLL
31
34
0
25 Jul 2022
Discrete Key-Value Bottleneck
Discrete Key-Value Bottleneck
Frederik Trauble
Anirudh Goyal
Nasim Rahaman
Michael C. Mozer
Kenji Kawaguchi
Yoshua Bengio
Bernhard Schölkopf
CLL
26
22
0
22 Jul 2022
Memory-efficient Reinforcement Learning with Value-based Knowledge
  Consolidation
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation
Qingfeng Lan
Yangchen Pan
Jun-Jie Luo
A. R. Mahmood
OffRL
24
6
0
22 May 2022
A Continual Deepfake Detection Benchmark: Dataset, Methods, and
  Essentials
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials
Chuqiao Li
Zhiwu Huang
D. Paudel
Yabin Wang
Mohamad Shahbazi
Xiaopeng Hong
Luc Van Gool
15
48
0
11 May 2022
One-shot Federated Learning without Server-side Training
One-shot Federated Learning without Server-side Training
Shangchao Su
Bin Li
Xiangyang Xue
FedML
10
27
0
26 Apr 2022
Incremental Prototype Tuning for Class Incremental Learning
Incremental Prototype Tuning for Class Incremental Learning
Jieren Deng
Jianhua Hu
Haojian Zhang
Yunkuan Wang
CLL
VLM
21
3
0
07 Apr 2022
Efficient Test-Time Model Adaptation without Forgetting
Efficient Test-Time Model Adaptation without Forgetting
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yaofo Chen
S. Zheng
P. Zhao
Mingkui Tan
OOD
VLM
TTA
28
307
0
06 Apr 2022
Modelling continual learning in humans with Hebbian context gating and
  exponentially decaying task signals
Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals
Timo Flesch
D. G. Nagy
Andrew M. Saxe
Christopher Summerfield
26
34
0
22 Mar 2022
Continual Learning Based on OOD Detection and Task Masking
Continual Learning Based on OOD Detection and Task Masking
Gyuhak Kim
Sepideh Esmaeilpour
Changnan Xiao
Bing-Quan Liu
OODD
CLL
22
17
0
17 Mar 2022
Memory Efficient Continual Learning with Transformers
Memory Efficient Continual Learning with Transformers
B. Ermiş
Giovanni Zappella
Martin Wistuba
Aditya Rawal
Cédric Archambeau
CLL
21
42
0
09 Mar 2022
TRGP: Trust Region Gradient Projection for Continual Learning
TRGP: Trust Region Gradient Projection for Continual Learning
Sen Lin
Li Yang
Deliang Fan
Junshan Zhang
CLL
78
73
0
07 Feb 2022
Continual Learning with Recursive Gradient Optimization
Continual Learning with Recursive Gradient Optimization
Hao Liu
Huaping Liu
VLM
CLL
85
36
0
29 Jan 2022
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