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On Tiny Episodic Memories in Continual Learning

On Tiny Episodic Memories in Continual Learning

27 February 2019
Arslan Chaudhry
Marcus Rohrbach
Mohamed Elhoseiny
Thalaiyasingam Ajanthan
P. Dokania
Philip H. S. Torr
MarcÁurelio Ranzato
    CLL
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Papers citing "On Tiny Episodic Memories in Continual Learning"

50 / 255 papers shown
Title
Continual Learning with Weight Interpolation
Continual Learning with Weight Interpolation
Jkedrzej Kozal
Jan Wasilewski
Bartosz Krawczyk
Michal Wo'zniak
CLL
MoMe
34
6
0
05 Apr 2024
Defense without Forgetting: Continual Adversarial Defense with
  Anisotropic & Isotropic Pseudo Replay
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay
Yuhang Zhou
Zhongyun Hua
AAML
CLL
31
3
0
02 Apr 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
40
3
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 K. Verma
Saptarshi Ghosh
Abir Das
VLM
CLL
LRM
37
12
0
29 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
32
17
0
20 Mar 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
Philip Matthias Winter
M. Wimmer
David Major
Dimitrios Lenis
Astrid Berg
Theresa Neubauer
Gaia Romana De Paolis
Johannes Novotny
Sophia Ulonska
Katja Bühler
37
0
0
18 Mar 2024
VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object
  Detection via Vision-Language Model
VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object Detection via Vision-Language Model
Junsu Kim
Yunhoe Ku
Jihyeon Kim
Junuk Cha
Seungryul Baek
ObjD
VLM
32
11
0
08 Mar 2024
Recall-Oriented Continual Learning with Generative Adversarial
  Meta-Model
Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
Haneol Kang
Dong-Wan Choi
CLL
BDL
31
1
0
05 Mar 2024
Robustness-Congruent Adversarial Training for Secure Machine Learning
  Model Updates
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates
Daniele Angioni
Luca Demetrio
Maura Pintor
Luca Oneto
Davide Anguita
Battista Biggio
Fabio Roli
AAML
27
2
0
27 Feb 2024
SDDGR: Stable Diffusion-based Deep Generative Replay for Class
  Incremental Object Detection
SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
Junsu Kim
Hoseong Cho
Jihyeon Kim
Yihalem Yimolal Tiruneh
Seungryul Baek
DiffM
30
20
0
27 Feb 2024
Class-incremental Learning for Time Series: Benchmark and Evaluation
Class-incremental Learning for Time Series: Benchmark and Evaluation
Zhongzheng Qiao
Quang-Cuong Pham
Zhen Cao
Hoang H Le
Ponnuthurai Nagaratnam Suganthan
Xudong Jiang
Savitha Ramasamy
40
10
0
19 Feb 2024
Maintaining Adversarial Robustness in Continuous Learning
Maintaining Adversarial Robustness in Continuous Learning
Xiaolei Ru
Xiaowei Cao
Zijia Liu
Jack Murdoch Moore
Xin-Ya Zhang
Xia Zhu
Wenjia Wei
Gang Yan
AAML
19
1
0
17 Feb 2024
Is Continual Learning Ready for Real-world Challenges?
Is Continual Learning Ready for Real-world Challenges?
Theodora Kontogianni
Yuanwen Yue
Siyu Tang
Konrad Schindler
CLL
30
3
0
15 Feb 2024
Layerwise Proximal Replay: A Proximal Point Method for Online Continual
  Learning
Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning
Jason Yoo
Yunpeng Liu
Frank D. Wood
Geoff Pleiss
CLL
19
5
0
14 Feb 2024
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free
  Class-Incremental Learning
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
Wei-Cheng Huang
Chun-Fu Chen
Hsiang Hsu
VLM
20
11
0
06 Feb 2024
Continual Domain Adversarial Adaptation via Double-Head Discriminators
Continual Domain Adversarial Adaptation via Double-Head Discriminators
Yan Shen
Zhanghexuan Ji
Chunwei Ma
Mingchen Gao
TTA
14
2
0
05 Feb 2024
Few-Shot Class-Incremental Learning with Prior Knowledge
Few-Shot Class-Incremental Learning with Prior Knowledge
Wenhao Jiang
Duo Li
Menghan Hu
Guangtao Zhai
Xiaokang Yang
Xiao-Ping Zhang
CLL
47
1
0
02 Feb 2024
Locality Sensitive Sparse Encoding for Learning World Models Online
Locality Sensitive Sparse Encoding for Learning World Models Online
Zi-Yan Liu
Chao Du
Wee Sun Lee
Min-Bin Lin
KELM
CLL
OffRL
33
8
0
23 Jan 2024
Towards Open-World Gesture Recognition
Towards Open-World Gesture Recognition
Junxiao Shen
Matthias De Lange
X. Xu
Enmin Zhou
Ran Tan
Naveen Suda
Maciej Lazarewicz
Per Ola Kristensson
Amy Karlson
Evan Strasnick
18
3
0
20 Jan 2024
A Topology-aware Graph Coarsening Framework for Continual Graph Learning
A Topology-aware Graph Coarsening Framework for Continual Graph Learning
Xiaoxue Han
Zhuo Feng
Yue Ning
CLL
14
1
0
05 Jan 2024
Learning and Forgetting Unsafe Examples in Large Language Models
Learning and Forgetting Unsafe Examples in Large Language Models
Jiachen Zhao
Zhun Deng
David Madras
James Zou
Mengye Ren
MU
KELM
CLL
80
16
0
20 Dec 2023
Continual Learning: Forget-free Winning Subnetworks for Video
  Representations
Continual Learning: Forget-free Winning Subnetworks for Video Representations
Haeyong Kang
Jaehong Yoon
Sung Ju Hwang
Chang D. Yoo
CLL
27
2
0
19 Dec 2023
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Everton L. Aleixo
J. Colonna
Marco Cristo
Everlandio Fernandes
CLL
50
22
0
16 Dec 2023
Class-Prototype Conditional Diffusion Model with Gradient Projection for
  Continual Learning
Class-Prototype Conditional Diffusion Model with Gradient Projection for Continual Learning
Khanh Doan
Quyen Tran
Tung Lam Tran
Tuan Nguyen
Dinh Q. Phung
Trung Le
DiffM
15
2
0
10 Dec 2023
Label Delay in Online Continual Learning
Label Delay in Online Continual Learning
Botos Csaba
Wenxuan Zhang
Matthias Muller
Ser-Nam Lim
Mohamed Elhoseiny
Philip H. S. Torr
Adel Bibi
CLL
32
0
0
01 Dec 2023
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters
James Seale Smith
Yen-Chang Hsu
Z. Kira
Yilin Shen
Hongxia Jin
DiffM
25
6
0
30 Nov 2023
Class Gradient Projection For Continual Learning
Class Gradient Projection For Continual Learning
Cheng Chen
Ji Zhang
Jingkuan Song
Lianli Gao
CLL
11
16
0
25 Nov 2023
Online Continual Knowledge Learning for Language Models
Online Continual Knowledge Learning for Language Models
Yuhao Wu
Tongjun Shi
Karthick Sharma
Chun Seah
Shuhao Zhang
CLL
KELM
23
4
0
16 Nov 2023
Incremental Object-Based Novelty Detection with Feedback Loop
Incremental Object-Based Novelty Detection with Feedback Loop
Simone Caldarella
Elisa Ricci
Rahaf Aljundi
26
0
0
15 Nov 2023
Online Continual Learning via Logit Adjusted Softmax
Online Continual Learning via Logit Adjusted Softmax
Zhehao Huang
Tao Li
Chenhe Yuan
Yingwen Wu
Xiaolin Huang
CLL
52
3
0
11 Nov 2023
Learning to Learn for Few-shot Continual Active Learning
Learning to Learn for Few-shot Continual Active Learning
Stella Ho
Ming Liu
Shang Gao
Longxiang Gao
KELM
BDL
VLM
CLL
14
2
0
07 Nov 2023
Scalable and Efficient Continual Learning from Demonstration via a
  Hypernetwork-generated Stable Dynamics Model
Scalable and Efficient Continual Learning from Demonstration via a Hypernetwork-generated Stable Dynamics Model
Sayantan Auddy
Jakob J. Hollenstein
Matteo Saveriano
Antonio Rodríguez-Sánchez
J. Piater
41
7
0
06 Nov 2023
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial
  Target Data
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
Cheng-Hao Tu
Hong-You Chen
Zheda Mai
Jike Zhong
Vardaan Pahuja
Tanya Berger-Wolf
Song Gao
Charles V. Stewart
Yu-Chuan Su
Wei-Lun Chao
CLL
34
3
0
02 Nov 2023
Visually Grounded Continual Language Learning with Selective
  Specialization
Visually Grounded Continual Language Learning with Selective Specialization
Kyra Ahrens
Lennart Bengtson
Jae Hee Lee
Stefan Wermter
19
0
0
24 Oct 2023
Orthogonal Subspace Learning for Language Model Continual Learning
Orthogonal Subspace Learning for Language Model Continual Learning
Xiao Wang
Tianze Chen
Qiming Ge
Han Xia
Rong Bao
Rui Zheng
Qi Zhang
Tao Gui
Xuanjing Huang
CLL
116
89
0
22 Oct 2023
Prior-Free Continual Learning with Unlabeled Data in the Wild
Prior-Free Continual Learning with Unlabeled Data in the Wild
Tao Zhuo
Zhiyong Cheng
Hehe Fan
Mohan S. Kankanhalli
VLM
CLL
38
2
0
16 Oct 2023
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
Continual Learning via Manifold Expansion Replay
Continual Learning via Manifold Expansion Replay
Zihao Xu
Xuan Tang
Yufei Shi
Jianfeng Zhang
Jian Yang
Mingsong Chen
Xian Wei
KELM
CLL
9
4
0
12 Oct 2023
A Survey of Incremental Transfer Learning: Combining Peer-to-Peer
  Federated Learning and Domain Incremental Learning for Multicenter
  Collaboration
A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter Collaboration
Yixing Huang
Christoph Bert
Rostislav Makarov
Alexander Alenin
Andreas K. Maier
F. Putz
FedML
CLL
19
1
0
29 Sep 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
21
0
0
28 Sep 2023
Person Re-Identification for Robot Person Following with Online
  Continual Learning
Person Re-Identification for Robot Person Following with Online Continual Learning
Hanjing Ye
Jieting Zhao
Yu Zhan
Weinan Chen
Li He
Hong Zhang
24
8
0
21 Sep 2023
Looking through the past: better knowledge retention for generative
  replay in continual learning
Looking through the past: better knowledge retention for generative replay in continual learning
Valeriya Khan
Sebastian Cygert
Kamil Deja
Tomasz Trzciñski
Bartlomiej Twardowski
26
7
0
18 Sep 2023
A Natural Gas Consumption Forecasting System for Continual Learning
  Scenarios based on Hoeffding Trees with Change Point Detection Mechanism
A Natural Gas Consumption Forecasting System for Continual Learning Scenarios based on Hoeffding Trees with Change Point Detection Mechanism
Radek Svoboda
Sebastian Basterrech
Jedrzej Kozal
Jan Platoš
Michal Wo'zniak
16
3
0
07 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
GRASP: A Rehearsal Policy for Efficient Online Continual Learning
GRASP: A Rehearsal Policy for Efficient Online Continual Learning
Md Yousuf Harun
Jhair Gallardo
Junyu Chen
Christopher Kanan
CLL
30
9
0
25 Aug 2023
Exemplar-Free Continual Transformer with Convolutions
Exemplar-Free Continual Transformer with Convolutions
Anurag Roy
Vinay K. Verma
Sravan Voonna
Kripabandhu Ghosh
Saptarshi Ghosh
Abir Das
CLL
BDL
15
10
0
22 Aug 2023
A Fusion of Variational Distribution Priors and Saliency Map Replay for
  Continual 3D Reconstruction
A Fusion of Variational Distribution Priors and Saliency Map Replay for Continual 3D Reconstruction
Sanchar Palit
S. Biswas
39
0
0
17 Aug 2023
CTP: Towards Vision-Language Continual Pretraining via Compatible
  Momentum Contrast and Topology Preservation
CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation
Hongguang Zhu
Yunchao Wei
Xiaodan Liang
Chunjie Zhang
Yao-Min Zhao
VLM
32
28
0
14 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
EgoAdapt: A multi-stream evaluation study of adaptation to real-world
  egocentric user video
EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video
Matthias De Lange
H. Eghbalzadeh
Reuben Tan
Michael L. Iuzzolino
Franziska Meier
Karl Ridgeway
EgoV
17
1
0
11 Jul 2023
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