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Imbalanced Continual Learning with Partitioning Reservoir Sampling

Imbalanced Continual Learning with Partitioning Reservoir Sampling

8 September 2020
C. Kim
Jinseo Jeong
Gunhee Kim
    CLL
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Papers citing "Imbalanced Continual Learning with Partitioning Reservoir Sampling"

20 / 20 papers shown
Title
Rethinking the Bias of Foundation Model under Long-tailed Distribution
Rethinking the Bias of Foundation Model under Long-tailed Distribution
Jiahao Chen
Bin Qin
Jiangmeng Li
Hao Chen
Bing-Huang Su
82
0
0
27 Jan 2025
AGALE: A Graph-Aware Continual Learning Evaluation Framework
AGALE: A Graph-Aware Continual Learning Evaluation Framework
Tianqi Zhao
Alan Hanjalic
Megha Khosla
27
1
0
03 Jun 2024
Confidence Self-Calibration for Multi-Label Class-Incremental Learning
Confidence Self-Calibration for Multi-Label Class-Incremental Learning
Kaile Du
Yifan Zhou
Fan Lyu
Yuyang Li
Chen Lu
Guangcan Liu
CLL
32
2
0
19 Mar 2024
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph
  Classification
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification
Zhengyan Mao
Wei Ju
Yifang Qin
Xiao Luo
Ming Zhang
19
16
0
04 Aug 2023
Learning Disentangled Label Representations for Multi-label
  Classification
Learning Disentangled Label Representations for Multi-label Classification
Jian Jia
Fei He
Naiyu Gao
Xiaotang Chen
Kaiqi Huang
31
3
0
02 Dec 2022
Multi-Label Continual Learning using Augmented Graph Convolutional
  Network
Multi-Label Continual Learning using Augmented Graph Convolutional Network
Kaile Du
Fan Lyu
Linyan Li
Fuyuan Hu
Wei Feng
Fenglei Xu
Xuefeng Xi
Hanjing Cheng
CLL
25
13
0
27 Nov 2022
Optimizing Class Distribution in Memory for Multi-Label Online Continual
  Learning
Optimizing Class Distribution in Memory for Multi-Label Online Continual Learning
Yanyan Liang
Wu-Jun Li
CLL
16
8
0
23 Sep 2022
A Multi-label Continual Learning Framework to Scale Deep Learning
  Approaches for Packaging Equipment Monitoring
A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring
Davide Dalle Pezze
Denis Deronjic
Chiara Masiero
Diego Tosato
A. Beghi
Gian Antonio Susto
CLL
19
9
0
08 Aug 2022
Class-Incremental Lifelong Learning in Multi-Label Classification
Class-Incremental Lifelong Learning in Multi-Label Classification
Kaile Du
Linyan Li
Fan Lyu
Fuyuan Hu
Zhenping Xia
Fenglei Xu
CLL
14
4
0
16 Jul 2022
Continual Normalization: Rethinking Batch Normalization for Online
  Continual Learning
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning
Quang-Cuong Pham
Chenghao Liu
S. Hoi
BDL
OnRL
28
57
0
30 Mar 2022
Representation Compensation Networks for Continual Semantic Segmentation
Representation Compensation Networks for Continual Semantic Segmentation
Chang-Bin Zhang
Jianqiang Xiao
Xialei Liu
Ying-Cong Chen
Mingg-Ming Cheng
SSeg
CLL
37
93
0
10 Mar 2022
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
Zhiqiu Lin
Jia Shi
Deepak Pathak
Deva Ramanan
CLL
VLM
137
91
0
17 Jan 2022
Continual Learning on Noisy Data Streams via Self-Purified Replay
Continual Learning on Noisy Data Streams via Self-Purified Replay
C. Kim
Jinseo Jeong
Sang-chul Moon
Gunhee Kim
CLL
32
39
0
14 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
25
73
0
23 Sep 2021
Total Recall: a Customized Continual Learning Method for Neural Semantic
  Parsers
Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers
Zhuang Li
Lizhen Qu
Gholamreza Haffari
CLL
32
15
0
11 Sep 2021
An Investigation of Replay-based Approaches for Continual Learning
An Investigation of Replay-based Approaches for Continual Learning
Benedikt Bagus
A. Gepperth
CLL
33
31
0
15 Aug 2021
Replay in Deep Learning: Current Approaches and Missing Biological
  Elements
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Tyler L. Hayes
G. Krishnan
M. Bazhenov
H. Siegelmann
T. Sejnowski
Christopher Kanan
CLL
31
129
0
01 Apr 2021
Supervised Contrastive Replay: Revisiting the Nearest Class Mean
  Classifier in Online Class-Incremental Continual Learning
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning
Zheda Mai
Ruiwen Li
Hyunwoo J. Kim
Scott Sanner
CLL
23
180
0
22 Mar 2021
Selfless Sequential Learning
Selfless Sequential Learning
Rahaf Aljundi
Marcus Rohrbach
Tinne Tuytelaars
CLL
26
114
0
14 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
314
11,681
0
09 Mar 2017
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