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Online Continual Learning with Natural Distribution Shifts: An Empirical
  Study with Visual Data

Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data

20 August 2021
Zhipeng Cai
Ozan Sener
V. Koltun
    CLL
ArXivPDFHTML

Papers citing "Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data"

50 / 55 papers shown
Title
ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams
ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams
C. Kim
Jihwan Moon
Sangwoo Moon
Heeseung Yun
Sihaeng Lee
Aniruddha Kembhavi
Soonyoung Lee
Gunhee Kim
Sangho Lee
Christopher Clark
29
0
0
21 Apr 2025
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach
Dheeraj Baby
Boran Han
Shuai Zhang
Cuixiong Hu
Yuyang Wang
Yu-Xiang Wang
OOD
53
0
0
09 Apr 2025
Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off
Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off
Song Lai
Zhe Zhao
Fei Zhu
Xi Victoria Lin
Qingfu Zhang
Gaofeng Meng
CLL
56
1
0
30 Mar 2025
Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints
Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints
Yuhao Zhou
Yuxin Tian
Jindi Lv
Mingjia Shi
Yuanxi Li
Qing Ye
Shuhao Zhang
Jiancheng Lv
CLL
72
0
0
15 Mar 2025
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
76
0
0
18 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
98
3
0
09 Dec 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
42
2
0
08 Nov 2024
LoKO: Low-Rank Kalman Optimizer for Online Fine-Tuning of Large Models
LoKO: Low-Rank Kalman Optimizer for Online Fine-Tuning of Large Models
Hossein Abdi
Mingfei Sun
Andi Zhang
Samuel Kaski
Wei Pan
23
0
0
15 Oct 2024
The impact of model size on catastrophic forgetting in Online Continual
  Learning
The impact of model size on catastrophic forgetting in Online Continual Learning
Eunhae Lee
CLL
26
0
0
28 Jun 2024
Controlling Forgetting with Test-Time Data in Continual Learning
Controlling Forgetting with Test-Time Data in Continual Learning
Vaibhav Singh
Rahaf Aljundi
Eugene Belilovsky
CLL
VLM
KELM
45
3
0
19 Jun 2024
Comparison of fine-tuning strategies for transfer learning in medical
  image classification
Comparison of fine-tuning strategies for transfer learning in medical image classification
Ana Davila
Jacinto Colan
Yasuhisa Hasegawa
19
17
0
14 Jun 2024
Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer
Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer
Rajat Saxena
Bruce L. McNaughton
CLL
53
2
0
12 May 2024
Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving
  in Dynamic Environments
Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic Environments
Benoît Gérin
Anaïs Halin
A. Cioppa
Maxim Henry
Bernard Ghanem
Benoît Macq
Christophe De Vleeschouwer
Marc Van Droogenbroeck
TTA
48
0
0
27 Apr 2024
Continual Learning of Large Language Models: A Comprehensive Survey
Continual Learning of Large Language Models: A Comprehensive Survey
Haizhou Shi
Zihao Xu
Hengyi Wang
Weiyi Qin
Wenyuan Wang
Yibin Wang
Zifeng Wang
Sayna Ebrahimi
Hao Wang
CLL
KELM
LRM
46
63
0
25 Apr 2024
Continual Learning on a Diet: Learning from Sparsely Labeled Streams
  Under Constrained Computation
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation
Wenxuan Zhang
Youssef Mohamed
Bernard Ghanem
Philip H. S. Torr
Adel Bibi
Mohamed Elhoseiny
CLL
45
5
0
19 Apr 2024
Hyperparameter Selection in Continual Learning
Hyperparameter Selection in Continual Learning
Thomas L. Lee
Sigrid Passano Hellan
Linus Ericsson
Elliot J. Crowley
Amos Storkey
CLL
55
0
0
09 Apr 2024
Workload Estimation for Unknown Tasks: A Survey of Machine Learning
  Under Distribution Shift
Workload Estimation for Unknown Tasks: A Survey of Machine Learning Under Distribution Shift
Josh Bhagat Smith
Julie A. Adams
21
0
0
20 Mar 2024
Reawakening knowledge: Anticipatory recovery from catastrophic
  interference via structured training
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training
Yanlai Yang
Matt Jones
Michael C. Mozer
Mengye Ren
68
1
0
14 Mar 2024
A Comprehensive Survey of Convolutions in Deep Learning: Applications,
  Challenges, and Future Trends
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Abolfazl Younesi
Mohsen Ansari
Mohammadamin Fazli
A. Ejlali
Muhammad Shafique
Joerg Henkel
3DV
47
44
0
23 Feb 2024
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
Learning from One Continuous Video Stream
Learning from One Continuous Video Stream
João Carreira
Michael King
Viorica Patraucean
Dilara Gokay
Catalin Ionescu
...
Joseph Heyward
Carl Doersch
Y. Aytar
Dima Damen
Andrew Zisserman
CLL
21
4
0
01 Dec 2023
TiC-CLIP: Continual Training of CLIP Models
TiC-CLIP: Continual Training of CLIP Models
Saurabh Garg
Mehrdad Farajtabar
Hadi Pouransari
Raviteja Vemulapalli
Sachin Mehta
Oncel Tuzel
Vaishaal Shankar
Fartash Faghri
VLM
CLIP
31
26
0
24 Oct 2023
Analysis of the Memorization and Generalization Capabilities of AI
  Agents: Are Continual Learners Robust?
Analysis of the Memorization and Generalization Capabilities of AI Agents: Are Continual Learners Robust?
Minsu Kim
Walid Saad
19
2
0
18 Sep 2023
CLNeRF: Continual Learning Meets NeRF
CLNeRF: Continual Learning Meets NeRF
Zhipeng Cai
Matthias Mueller
CLL
23
15
0
28 Aug 2023
Maintaining Plasticity in Continual Learning via Regenerative
  Regularization
Maintaining Plasticity in Continual Learning via Regenerative Regularization
Saurabh Kumar
Henrik Marklund
Benjamin Van Roy
CLL
KELM
31
16
0
23 Aug 2023
A Comprehensive Empirical Evaluation on Online Continual Learning
A Comprehensive Empirical Evaluation on Online Continual Learning
Albin Soutif--Cormerais
Antonio Carta
Andrea Cossu
J. Hurtado
Hamed Hemati
Vincenzo Lomonaco
Joost van de Weijer
CLL
26
20
0
20 Aug 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
19
1
0
11 Jul 2023
Continual Learning as Computationally Constrained Reinforcement Learning
Continual Learning as Computationally Constrained Reinforcement Learning
Saurabh Kumar
Henrik Marklund
Anand Srinivasa Rao
Yifan Zhu
Hong Jun Jeon
Yueyang Liu
Benjamin Van Roy
CLL
27
22
0
10 Jul 2023
Kalman Filter for Online Classification of Non-Stationary Data
Kalman Filter for Online Classification of Non-Stationary Data
Michalis K. Titsias
Alexandre Galashov
Amal Rannen-Triki
Razvan Pascanu
Yee Whye Teh
J. Bornschein
CLL
BDL
70
9
0
14 Jun 2023
Dynamically Masked Discriminator for Generative Adversarial Networks
Dynamically Masked Discriminator for Generative Adversarial Networks
Wentian Zhang
Haozhe Liu
Bing Li
Jinheng Xie
Yawen Huang
Yuexiang Li
Yefeng Zheng
Bernard Ghanem
TTA
38
2
0
13 Jun 2023
Overcoming the Stability Gap in Continual Learning
Overcoming the Stability Gap in Continual Learning
Md Yousuf Harun
Christopher Kanan
AI4CE
30
11
0
02 Jun 2023
Just a Glimpse: Rethinking Temporal Information for Video Continual
  Learning
Just a Glimpse: Rethinking Temporal Information for Video Continual Learning
Lama Alssum
Juan Carlos León Alcázar
Merey Ramazanova
Chen Zhao
Bernard Ghanem
CLL
24
6
0
28 May 2023
Rapid Adaptation in Online Continual Learning: Are We Evaluating It
  Right?
Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?
Hasan Hammoud
Ameya Prabhu
Ser-Nam Lim
Philip H. S. Torr
Adel Bibi
Bernard Ghanem
CLL
108
16
0
16 May 2023
Online Continual Learning Without the Storage Constraint
Online Continual Learning Without the Storage Constraint
Ameya Prabhu
Zhipeng Cai
P. Dokania
Philip H. S. Torr
V. Koltun
Ozan Sener
CLL
118
31
0
16 May 2023
A Dataset Fusion Algorithm for Generalised Anomaly Detection in
  Homogeneous Periodic Time Series Datasets
A Dataset Fusion Algorithm for Generalised Anomaly Detection in Homogeneous Periodic Time Series Datasets
Ayman Elhalwagy
T. Kalganova
AI4TS
14
1
0
14 May 2023
Evaluation of Test-Time Adaptation Under Computational Time Constraints
Evaluation of Test-Time Adaptation Under Computational Time Constraints
Motasem Alfarra
Hani Itani
Alejandro Pardo
Shyma Alhuwaider
Merey Ramazanova
Juan C. Pérez
Zhipeng Cai
Matthias Müller
Bernard Ghanem
TTA
32
2
0
10 Apr 2023
Online Distillation with Continual Learning for Cyclic Domain Shifts
Online Distillation with Continual Learning for Cyclic Domain Shifts
Joachim Houyon
A. Cioppa
Yasir Ghunaim
Motasem Alfarra
Anaïs Halin
Maxim Henry
Bernard Ghanem
Marc Van Droogenbroeck
CLL
29
8
0
03 Apr 2023
Computationally Budgeted Continual Learning: What Does Matter?
Computationally Budgeted Continual Learning: What Does Matter?
Ameya Prabhu
Hasan Hammoud
P. Dokania
Philip H. S. Torr
Ser-Nam Lim
Bernard Ghanem
Adel Bibi
CLL
30
62
0
20 Mar 2023
DualMix: Unleashing the Potential of Data Augmentation for Online
  Class-Incremental Learning
DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning
Yunfeng Fan
Wenchao Xu
Haozhao Wang
Jiaqi Zhu
Junxiao Wang
Song Guo
CLL
14
0
0
14 Mar 2023
Real-world Machine Learning Systems: A survey from a Data-Oriented
  Architecture Perspective
Real-world Machine Learning Systems: A survey from a Data-Oriented Architecture Perspective
Christian Cabrera
Andrei Paleyes
Pierre Thodoroff
Neil D. Lawrence
AI4TS
AI4CE
OOD
30
6
0
09 Feb 2023
Real-Time Evaluation in Online Continual Learning: A New Hope
Real-Time Evaluation in Online Continual Learning: A New Hope
Yasir Ghunaim
Adel Bibi
Kumail Alhamoud
Motasem Alfarra
Hasan Hammoud
Ameya Prabhu
Philip H. S. Torr
Bernard Ghanem
CLL
21
39
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
601
0
31 Jan 2023
Instance-Conditional Timescales of Decay for Non-Stationary Learning
Instance-Conditional Timescales of Decay for Non-Stationary Learning
Nishant Jain
Pradeep Shenoy
25
3
0
12 Dec 2022
SimCS: Simulation for Domain Incremental Online Continual Segmentation
SimCS: Simulation for Domain Incremental Online Continual Segmentation
Motasem Alfarra
Zhipeng Cai
Adel Bibi
Bernard Ghanem
Matthias Müller
CLL
19
4
0
29 Nov 2022
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
Huaxiu Yao
Caroline Choi
Bochuan Cao
Yoonho Lee
Pang Wei Koh
Chelsea Finn
OOD
19
73
0
25 Nov 2022
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision
  Research
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
J. Bornschein
Alexandre Galashov
Ross Hemsley
Amal Rannen-Triki
Yutian Chen
...
Angeliki Lazaridou
Yee Whye Teh
Andrei A. Rusu
Razvan Pascanu
MarcÁurelio Ranzato
OOD
VLM
AI4TS
31
16
0
15 Nov 2022
Sequential Learning Of Neural Networks for Prequential MDL
Sequential Learning Of Neural Networks for Prequential MDL
J. Bornschein
Yazhe Li
Marcus Hutter
AI4TS
27
6
0
14 Oct 2022
Improving information retention in large scale online continual learning
Improving information retention in large scale online continual learning
Z. Cai
V. Koltun
Ozan Sener
CLL
14
1
0
12 Oct 2022
Continual Learning with Evolving Class Ontologies
Continual Learning with Evolving Class Ontologies
Zhiqiu Lin
Deepak Pathak
Yu-xiong Wang
Deva Ramanan
Shu Kong
CLL
36
9
0
10 Oct 2022
AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly
  Detection
AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection
Marius Dragoi
Elena Burceanu
Emanuela Haller
Andrei Manolache
Florin Brad
OOD
18
18
0
30 Jun 2022
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