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Generalized Variational Continual Learning

Generalized Variational Continual Learning

24 November 2020
Noel Loo
S. Swaroop
Richard E. Turner
    BDL
    CLL
ArXivPDFHTML

Papers citing "Generalized Variational Continual Learning"

41 / 41 papers shown
Title
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification
Kumar Manas
Christian Schlauch
Adrian Paschke
Christian Wirth
Nadja Klein
35
0
0
17 Apr 2025
Efficient Continual Learning through Frequency Decomposition and Integration
Efficient Continual Learning through Frequency Decomposition and Integration
Ruiqi Liu
Boyu Diao
Libo Huang
Hangda Liu
Chuanguang Yang
Zhulin An
Y. Xu
CLL
35
0
0
28 Mar 2025
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
Patrick Rim
Hyoungseob Park
Suchisrit Gangopadhyay
Ziyao Zeng
Younjoon Chung
Alex Wong
CLL
MDE
61
1
0
17 Mar 2025
COBRA: A Continual Learning Approach to Vision-Brain Understanding
COBRA: A Continual Learning Approach to Vision-Brain Understanding
Xuan-Bac Nguyen
Arabinda Kumar Choudhary
Pawan Sinha
Xin Li
Khoa Luu
CLL
68
0
0
25 Nov 2024
Dual Low-Rank Adaptation for Continual Learning with Pre-Trained Models
Dual Low-Rank Adaptation for Continual Learning with Pre-Trained Models
Huancheng Chen
Jingtao Li
Nidham Gazagnadou
Weiming Zhuang
Chen Chen
Lingjuan Lyu
VLM
CLL
47
1
0
01 Nov 2024
Temporal-Difference Variational Continual Learning
Temporal-Difference Variational Continual Learning
L. Melo
Alessandro Abate
Yarin Gal
BDL
CLL
VLM
38
0
0
10 Oct 2024
Continual Learning in the Frequency Domain
Continual Learning in the Frequency Domain
Ruiqi Liu
Boyu Diao
Libo Huang
Zijia An
Zhulin An
Yongjun Xu
VLM
CLL
19
7
0
09 Oct 2024
LW2G: Learning Whether to Grow for Prompt-based Continual Learning
LW2G: Learning Whether to Grow for Prompt-based Continual Learning
Qian Feng
Dawei Zhou
Hanbin Zhao
Chao Zhang
Hui Qian
VLM
CLL
35
3
0
27 Sep 2024
MOST: MR reconstruction Optimization for multiple downStream Tasks via
  continual learning
MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning
Hwihun Jeong
S. Chun
Jongho Lee
30
2
0
16 Sep 2024
Adaptive Variational Continual Learning via Task-Heuristic Modelling
Adaptive Variational Continual Learning via Task-Heuristic Modelling
Fan Yang
VLM
26
0
0
29 Aug 2024
PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision
  Transformer
PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer
Qian Feng
Hanbin Zhao
Chao Zhang
Jiahua Dong
Henghui Ding
Yu-Gang Jiang
Hui Qian
VLM
29
3
0
04 Jul 2024
EVCL: Elastic Variational Continual Learning with Weight Consolidation
EVCL: Elastic Variational Continual Learning with Weight Consolidation
Hunar Batra
Ronald Clark
CLL
22
1
0
23 Jun 2024
Variational Bayes for Federated Continual Learning
Variational Bayes for Federated Continual Learning
Dezhong Yao
Sanmu Li
Yutong Dai
Zhiqiang Xu
Shengshan Hu
Peilin Zhao
Lichao Sun
FedML
37
1
0
23 May 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
39
1
0
24 Mar 2024
Predictive, scalable and interpretable knowledge tracing on structured
  domains
Predictive, scalable and interpretable knowledge tracing on structured domains
Hanqi Zhou
Robert Bamler
Charley M. Wu
Álvaro Tejero-Cantero
AI4Ed
16
7
0
19 Mar 2024
Informed Spectral Normalized Gaussian Processes for Trajectory
  Prediction
Informed Spectral Normalized Gaussian Processes for Trajectory Prediction
Christian Schlauch
Christian Wirth
Nadja Klein
25
1
0
18 Mar 2024
Continual Learning via Sequential Function-Space Variational Inference
Continual Learning via Sequential Function-Space Variational Inference
Tim G. J. Rudner
Freddie Bickford-Smith
Qixuan Feng
Yee Whye Teh
Y. Gal
8
37
0
28 Dec 2023
Unlearning with Fisher Masking
Unlearning with Fisher Masking
Yufang Liu
Changzhi Sun
Yuanbin Wu
Aimin Zhou
MU
12
4
0
09 Oct 2023
E2Net: Resource-Efficient Continual Learning with Elastic Expansion
  Network
E2Net: Resource-Efficient Continual Learning with Elastic Expansion Network
Ruiqi Liu
Boyu Diao
Libo Huang
Zhulin An
Yongjun Xu
CLL
11
0
0
28 Sep 2023
Continual Evidential Deep Learning for Out-of-Distribution Detection
Continual Evidential Deep Learning for Out-of-Distribution Detection
Eduardo Aguilar
Bogdan Raducanu
P. Radeva
Joost van de Weijer
OODD
EDL
14
7
0
06 Sep 2023
Introducing Language Guidance in Prompt-based Continual Learning
Introducing Language Guidance in Prompt-based Continual Learning
Muhammad Gul Zain Ali Khan
Muhammad Ferjad Naeem
Luc Van Gool
D. Stricker
F. Tombari
Muhammad Zeshan Afzal
VLM
CLL
6
46
0
30 Aug 2023
ConSlide: Asynchronous Hierarchical Interaction Transformer with
  Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis
ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis
Yanyan Huang
Weiqin Zhao
Shujun Wang
Yu Fu
Yuming Jiang
Lequan Yu
CLL
12
17
0
25 Aug 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
68
2
0
18 Jun 2023
Enhancing Contrastive Learning with Noise-Guided Attack: Towards
  Continual Relation Extraction in the Wild
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild
Ting Wu
Jingyi Liu
Rui Zheng
Qi Zhang
Tao Gui
Xuanjing Huang
CLL
14
0
0
11 May 2023
Machine Learning and the Future of Bayesian Computation
Machine Learning and the Future of Bayesian Computation
Steven Winter
Trevor Campbell
Lizhen Lin
Sanvesh Srivastava
David B. Dunson
TPM
24
4
0
21 Apr 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
24
592
0
31 Jan 2023
On Sequential Bayesian Inference for Continual Learning
On Sequential Bayesian Inference for Continual Learning
Samuel Kessler
Adam D. Cobb
Tim G. J. Rudner
S. Zohren
Stephen J. Roberts
CLL
BDL
56
5
0
04 Jan 2023
Continual Learning with Dependency Preserving Hypernetworks
Continual Learning with Dependency Preserving Hypernetworks
Dupati Srikar Chandra
Sakshi Varshney
P. K. Srijith
Sunil R. Gupta
CLL
14
7
0
16 Sep 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on
  Continual Learning and Functional Composition
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge Armando Mendez Mendez
Eric Eaton
KELM
CLL
19
27
0
15 Jul 2022
Repairing Neural Networks by Leaving the Right Past Behind
Repairing Neural Networks by Leaving the Right Past Behind
Ryutaro Tanno
Melanie F. Pradier
A. Nori
Yingzhen Li
KELM
22
31
0
11 Jul 2022
DualPrompt: Complementary Prompting for Rehearsal-free Continual
  Learning
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning
Zifeng Wang
Zizhao Zhang
Sayna Ebrahimi
Ruoxi Sun
Han Zhang
...
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLL
VLM
VPVLM
17
454
0
10 Apr 2022
Continual Learning of Multi-modal Dynamics with External Memory
Continual Learning of Multi-modal Dynamics with External Memory
Abdullah Akgul
Gözde B. Ünal
M. Kandemir
CLL
11
0
0
02 Mar 2022
Robust Continual Learning through a Comprehensively Progressive Bayesian
  Neural Network
Robust Continual Learning through a Comprehensively Progressive Bayesian Neural Network
Guo Yang
C. Wong
Savitha Ramasamy
CLL
18
3
0
27 Feb 2022
Partitioned Variational Inference: A Framework for Probabilistic
  Federated Learning
Partitioned Variational Inference: A Framework for Probabilistic Federated Learning
Matthew Ashman
T. Bui
Cuong V Nguyen
Efstratios Markou
Adrian Weller
S. Swaroop
Richard E. Turner
FedML
15
12
0
24 Feb 2022
Learning to Prompt for Continual Learning
Learning to Prompt for Continual Learning
Zifeng Wang
Zizhao Zhang
Chen-Yu Lee
Han Zhang
Ruoxi Sun
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLL
VPVLM
KELM
VLM
18
727
0
16 Dec 2021
TaskDrop: A Competitive Baseline for Continual Learning of Sentiment
  Classification
TaskDrop: A Competitive Baseline for Continual Learning of Sentiment Classification
Jianping Mei
Yilun Zheng
Qianwei Zhou
Rui Yan
VLM
CLL
12
6
0
05 Nov 2021
Mixture-of-Variational-Experts for Continual Learning
Mixture-of-Variational-Experts for Continual Learning
Y. Yin
Yu Wang
CLL
FedML
6
6
0
25 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
23
73
0
23 Sep 2021
Natural continual learning: success is a journey, not (just) a
  destination
Natural continual learning: success is a journey, not (just) a destination
Ta-Chu Kao
Kristopher T. Jensen
Gido M. van de Ven
A. Bernacchia
Guillaume Hennequin
CLL
10
46
0
15 Jun 2021
Dynamic VAEs with Generative Replay for Continual Zero-shot Learning
Dynamic VAEs with Generative Replay for Continual Zero-shot Learning
Subhankar Ghosh
BDL
CLL
VLM
19
7
0
26 Apr 2021
Posterior Meta-Replay for Continual Learning
Posterior Meta-Replay for Continual Learning
Christian Henning
Maria R. Cervera
Francesco DÁngelo
J. Oswald
Regina Traber
Benjamin Ehret
Seijin Kobayashi
Benjamin Grewe
João Sacramento
CLL
BDL
51
54
0
01 Mar 2021
1