Incremental Few-Shot Learning with Attention Attractor Networks

16 October 2018

Papers citing "Incremental Few-Shot Learning with Attention Attractor Networks"

50 / 92 papers shown

Title
Adapter-Enhanced Semantic Prompting for Continual Learning Baocai Yin Ji Zhao Huajie Jiang Ningning Hou Yongli Hu Amin Beheshti Ming-Hsuan Yang Yuankai Qi CLL VLM 97 0 0 15 Dec 2024
Towards Few-Shot Learning in the Open World: A Review and Beyond Hui Xue Yuexuan An Yongchun Qin Wenqian Li Yixin Wu Yongjuan Che Pengfei Fang Minling Zhang OffRL 46 1 0 19 Aug 2024
MOoSE: Multi-Orientation Sharing Experts for Open-set Scene Text Recognition Chang Liu Simon Corbillé Elisa H Barney Smith 21 0 0 26 Jul 2024
Few Shot Class Incremental Learning using Vision-Language models Anurag Kumar Chinmay Bharti Saikat Dutta Srikrishna Karanam Biplab Banerjee VLM CLL 33 0 0 02 May 2024
FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models Yanting Wang Wei Zou Jinyuan Jia 45 1 0 12 Apr 2024
When Meta-Learning Meets Online and Continual Learning: A Survey Jaehyeon Son Soochan Lee Gunhee Kim OOD CLL 32 10 0 09 Nov 2023
Federated Class-Incremental Learning with Prompting Jiale Liu Yu-Wei Zhan Chong-Yu Zhang Xin Luo Zhen-Duo Chen Yinwei Wei CLL FedML 21 2 0 13 Oct 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants Yibo Yang Haobo Yuan Xiangtai Li Jianlong Wu Lefei Zhang Zhouchen Lin Philip H. S. Torr Dacheng Tao Bernard Ghanem CLL 27 8 0 03 Aug 2023
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in Robotics Ali Ayub Alan R. Wagner CLL 27 4 0 31 Jul 2023
Towards Task Sampler Learning for Meta-Learning Jingyao Wang Wenwen Qiang Xingzhe Su Changwen Zheng Fuchun Sun Hui Xiong 22 9 0 18 Jul 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning Zhenyi Wang Enneng Yang Li Shen Heng-Chiao Huang KELM MU 29 46 0 16 Jul 2023
A Survey on Few-Shot Class-Incremental Learning Song Tian Lusi Li Weijun Li Hang Ran X. Ning Prayag Tiwari CLL 26 100 0 17 Apr 2023
MASIL: Towards Maximum Separable Class Representation for Few Shot Class Incremental Learning Anant Khandelwal CLL 14 0 0 08 Apr 2023
Meta-learning approaches for few-shot learning: A survey of recent advances Hassan Gharoun Fereshteh Momenifar Fang Chen Amir H. Gandomi OOD VLM 44 43 0 13 Mar 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning Yibo Yang Haobo Yuan Xiangtai Li Zhouchen Lin Philip H. S. Torr Dacheng Tao CLL 26 96 0 06 Feb 2023
RMM: Reinforced Memory Management for Class-Incremental Learning Yaoyao Liu Bernt Schiele Qianru Sun CLL 21 92 0 14 Jan 2023
Better Generalized Few-Shot Learning Even Without Base Data Seongwoong Kim Dong-Wan Choi 14 7 0 29 Nov 2022
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning Bin Liu Boyu Yang Lingxi Xie Ren Wang Qi Tian QiXiang Ye CLL 19 16 0 01 Oct 2022
On the Soft-Subnetwork for Few-shot Class Incremental Learning Haeyong Kang Jaehong Yoon Sultan Rizky Hikmawan Madjid Sung Ju Hwang Chang-Dong Yoo CLL 47 41 0 15 Sep 2022
Few-shot Incremental Event Detection Hao Wang Hanwen Shi Jianyong Duan 13 2 0 05 Sep 2022
Meta-Causal Feature Learning for Out-of-Distribution Generalization Yuqing Wang Xiangxian Li Zhuang Qi Jingyu Li Xuelong Li Xiangxu Meng Lei Meng OOD OODD BDL 25 25 0 22 Aug 2022
Open Long-Tailed Recognition in a Dynamic World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu VLM 23 18 0 17 Aug 2022
Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update and Hyper-class Representation Guangchen Shi Yirui Wu J. Liu Shaohua Wan Wenhai Wang Tong Lu CLL 10 35 0 26 Jul 2022
Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning Jinze Li Yan Bai Yihang Lou Xiongkun Linghu Jianzhong He Shaoyun Xu Tao Bai VLM CLL 25 2 0 03 Jul 2022
Short-Term Plasticity Neurons Learning to Learn and Forget Hector Garcia Rodriguez Qinghai Guo Timoleon Moraitis 13 12 0 28 Jun 2022
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks Da-Wei Zhou Han-Jia Ye Liang Ma Di Xie Shiliang Pu De-Chuan Zhan CLL 11 119 0 31 Mar 2022
Constrained Few-shot Class-incremental Learning Michael Hersche G. Karunaratne G. Cherubini Luca Benini A. Sebastian Abbas Rahimi CLL 24 141 0 30 Mar 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe Soopil Kim Sang Hyun Park 24 32 0 25 Mar 2022
Lifelong Adaptive Machine Learning for Sensor-based Human Activity Recognition Using Prototypical Networks Rebecca Adaimi Edison Thomaz CLL 21 13 0 11 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning Archit Parnami Minwoo Lee MQ 25 156 0 07 Mar 2022
Feature Transformation for Cross-domain Few-shot Remote Sensing Scene Classification Qiaoli Chen Zhihao Chen Wei Luo 17 5 0 04 Mar 2022
Multi-level Second-order Few-shot Learning Hongguang Zhang Hongdong Li Piotr Koniusz 11 33 0 15 Jan 2022
Budget-aware Few-shot Learning via Graph Convolutional Network Shipeng Yan Songyang Zhang Xuming He 9 6 0 07 Jan 2022
Graph Few-shot Class-incremental Learning Zhen Tan Kaize Ding Ruocheng Guo Huan Liu CLL GNN 27 59 0 23 Dec 2021
Coarse-To-Fine Incremental Few-Shot Learning Xiang Xiang Yuwen Tan Qian Wan Jing Ma CLL 32 12 0 24 Nov 2021
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 CLL VLM 28 9 0 09 Nov 2021
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima Guangyuan Shi Jiaxin Chen Wenlong Zhang Li-Ming Zhan Xiao-Ming Wu CLL 25 152 0 30 Oct 2021
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning Linlan Zhao Dashan Guo Yunlu Xu Liang Qiao Zhanzhan Cheng Shiliang Pu Yi Niu Xi Fang CLL 22 2 0 21 Oct 2021
Subspace Regularizers for Few-Shot Class Incremental Learning Afra Feyza Akyürek Ekin Akyürek Derry Wijaya Jacob Andreas CLL 19 59 0 13 Oct 2021
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness Zhenyi Wang Tiehang Duan Le Fang Qiuling Suo Mingchen Gao 183 18 0 29 Sep 2021
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
Online Unsupervised Learning of Visual Representations and Categories Mengye Ren Tyler R. Scott Michael L. Iuzzolino Michael C. Mozer R. Zemel OCL SSL 20 4 0 13 Sep 2021
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting Anna Kukleva Hilde Kuehne Bernt Schiele CLL 15 50 0 18 Aug 2021
Bayesian Embeddings for Few-Shot Open World Recognition John Willes James Harrison Ali Harakeh Chelsea Finn Marco Pavone Steven Waslander BDL OffRL 20 17 0 29 Jul 2021
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning Kai Zhu Yang Cao Wei Zhai Jie Cheng Zhengjun Zha CLL 11 144 0 19 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 22 1 0 05 Jul 2021
Few-Shot Learning with a Strong Teacher Han-Jia Ye Lu Ming De-Chuan Zhan Wei-Lun Chao 11 49 0 01 Jul 2021
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning Yi Zhang Sheng Huang Xiao-song Peng Dan Yang 20 9 0 28 Jun 2021
Class-Incremental Few-Shot Object Detection Pengyang Li Yanan Li Han Cui Donghui Wang CLL 19 14 0 17 May 2021
End-to-end One-shot Human Parsing Haoyu He Bohan Zhuang Jing Zhang Jianfei Cai Dacheng Tao VLM 32 8 0 04 May 2021