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XtarNet: Learning to Extract Task-Adaptive Representation for
  Incremental Few-Shot Learning
v1v2 (latest)

XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning

International Conference on Machine Learning (ICML), 2020
19 March 2020
Sung Whan Yoon
Do-Yeon Kim
Jun Seo
Jaekyun Moon
    CLL
ArXiv (abs)PDFHTML

Papers citing "XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning"

30 / 30 papers shown
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
M. A. Ma'sum
Mahardhika Pratama
Igor Skrjanc
CLL
537
6
0
12 Feb 2025
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning
  with Pre-Trained Models
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained ModelsNeural Information Processing Systems (NeurIPS), 2024
Linglan Zhao
Xuerui Zhang
K. Yan
Shouhong Ding
Weiran Huang
CLL
279
17
0
04 Nov 2024
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning
Xiaojie Li
Jianlong Wu
Yue Yu
Guohao Li
Ming-Hsuan Yang
Liqiang Nie
M. Zhang
Mamba
569
14
0
08 Jul 2024
Few Shot Class Incremental Learning using Vision-Language models
Few Shot Class Incremental Learning using Vision-Language models
Anurag Kumar
Chinmay Bharti
Saikat Dutta
Srikrishna Karanam
Biplab Banerjee
VLMCLL
289
1
0
02 May 2024
Neural Collapse Terminus: A Unified Solution for Class Incremental
  Learning and Its Variants
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants
Jianlong Wu
Haobo Yuan
Hefei Ling
Yue Yu
Lefei Zhang
Zhouchen Lin
Juil Sock
Dacheng Tao
Guohao Li
CLL
449
14
0
03 Aug 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual
  Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELMMU
344
99
0
16 Jul 2023
A Survey on Few-Shot Class-Incremental Learning
A Survey on Few-Shot Class-Incremental LearningNeural Networks (Neural Netw.), 2023
Song Tian
Lusi Li
Weijun Li
Hang Ran
Xin Ning
Prayag Tiwari
CLL
527
184
0
17 Apr 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class
  Incremental Learning
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental LearningInternational Conference on Learning Representations (ICLR), 2023
Jianlong Wu
Haobo Yuan
Hefei Ling
Zhouchen Lin
Juil Sock
Dacheng Tao
CLL
364
165
0
06 Feb 2023
Better Generalized Few-Shot Learning Even Without Base Data
Better Generalized Few-Shot Learning Even Without Base DataAAAI Conference on Artificial Intelligence (AAAI), 2022
Seongwoong Kim
Dong-Wan Choi
384
9
0
29 Nov 2022
RankDNN: Learning to Rank for Few-shot Learning
RankDNN: Learning to Rank for Few-shot LearningAAAI Conference on Artificial Intelligence (AAAI), 2022
Qianyu Guo
Hongtong Gong
Xu Wei
Yanwei Fu
Weifeng Ge
Yizhou Yu
Wenqiang Zhang
487
27
0
28 Nov 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Kuilin Chen
Chi-Guhn Lee
SSL
317
4
0
07 Oct 2022
Learnable Distribution Calibration for Few-Shot Class-Incremental
  Learning
Learnable Distribution Calibration for Few-Shot Class-Incremental LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yinan Han
Boyu Yang
Lingxi Xie
Ren Wang
Qi Tian
QiXiang Ye
CLL
279
32
0
01 Oct 2022
Few-shot Incremental Event Detection
Few-shot Incremental Event Detection
Hao Wang
Hanwen Shi
Jianyong Duan
435
3
0
05 Sep 2022
Expanding continual few-shot learning benchmarks to include recognition
  of specific instances
Expanding continual few-shot learning benchmarks to include recognition of specific instancesPLoS ONE (PLoS ONE), 2022
Gideon Kowadlo
Abdelrahman Ahmed
Amir Mayan
D. Rawlinson
CLL
362
0
0
26 Aug 2022
Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update
  and Hyper-class Representation
Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update and Hyper-class RepresentationACM Multimedia (ACM MM), 2022
Guangchen Shi
Yirui Wu
Jing Liu
Shaohua Wan
Wenhai Wang
Tong Lu
CLL
320
43
0
26 Jul 2022
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong
  Machine Learning
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning
Phung Lai
Han Hu
Nhathai Phan
Ruoming Jin
My T. Thai
An M. Chen
297
2
0
26 Jul 2022
Meta-free few-shot learning via representation learning with weight
  averaging
Meta-free few-shot learning via representation learning with weight averagingIEEE International Joint Conference on Neural Network (IJCNN), 2022
Kuilin Chen
Chi-Guhn Lee
276
6
0
26 Apr 2022
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
Few-Shot Class-Incremental Learning by Sampling Multi-Phase TasksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Da-Wei Zhou
Han-Jia Ye
Liang Ma
Di Xie
Shiliang Pu
De-Chuan Zhan
CLL
326
187
0
31 Mar 2022
Variational Autoencoder with Disentanglement Priors for Low-Resource
  Task-Specific Natural Language Generation
Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Zhuang Li
Zhuang Li
Xingliang Yuan
Tongtong Wu
Tianyang Zhan
Gholamreza Haffari
CoGeUDDRL
348
5
0
27 Feb 2022
Clustering Enabled Few-Shot Load Forecasting
Clustering Enabled Few-Shot Load ForecastingInformation Security Practice and Experience (ISPEC), 2021
Qiyuan Wang
Zhihui Chen
Chenye Wu
128
6
0
16 Feb 2022
Graph Few-shot Class-incremental Learning
Graph Few-shot Class-incremental LearningWeb Search and Data Mining (WSDM), 2021
Zhen Tan
Kaize Ding
Ruocheng Guo
Huan Liu
CLLGNN
200
71
0
23 Dec 2021
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot
  Image Recognition
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition
Kai Wang
Xialei Liu
Andrew D. Bagdanov
Luis Herranz
Shang Rui
Joost van de Weijer
CLLVLM
318
12
0
09 Nov 2021
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning
A Strong Baseline for Semi-Supervised Incremental Few-Shot LearningBritish Machine Vision Conference (BMVC), 2021
Linlan Zhao
Dashan Guo
Yunlu Xu
Liang Qiao
Zhanzhan Cheng
Shiliang Pu
Yi Niu
Xi Fang
CLL
330
3
0
21 Oct 2021
Subspace Regularizers for Few-Shot Class Incremental Learning
Subspace Regularizers for Few-Shot Class Incremental Learning
Afra Feyza Akyürek
Ekin Akyürek
Derry Wijaya
Jacob Andreas
CLL
296
80
0
13 Oct 2021
Meta Learning on a Sequence of Imbalanced Domains with Difficulty
  Awareness
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness
Zhenyi Wang
Tiehang Duan
Le Fang
Qiuling Suo
Mingchen Gao
454
20
0
29 Sep 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An OverviewIET Computer Vision (ICV), 2021
Haoxuan Qu
Hossein Rahmani
Kepeng Xu
Bryan M. Williams
Jun Liu
VLMCLL
631
105
0
23 Sep 2021
Deep Metric Learning for Few-Shot Image Classification: A Review of
  Recent Developments
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent DevelopmentsPattern Recognition (Pattern Recogn.), 2021
Xiaoxu Li
Xiaochen Yang
Zhanyu Ma
Jing-Hao Xue
VLM
352
181
0
17 May 2021
Learnable Expansion-and-Compression Network for Few-shot
  Class-Incremental Learning
Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning
Boyu Yang
Mingbao Lin
Binghao Liu
Mengying Fu
Chang-rui Liu
Rongrong Ji
QiXiang Ye
CLL
246
20
0
06 Apr 2021
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental
  Learning
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2021
A. Cheraghian
Shafin Rahman
Pengfei Fang
S. Roy
L. Petersson
Mehrtash Harandi
CLL
464
228
0
06 Mar 2021
Dataset Bias in Few-shot Image Recognition
Dataset Bias in Few-shot Image Recognition
Shuqiang Jiang
Yaohui Zhu
Chenlong Liu
Xinhang Song
Xiangyang Li
Weiqing Min
460
28
0
18 Aug 2020
1
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