Incremental Few-Shot Learning with Attention Attractor Networks

16 October 2018

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

42 / 92 papers shown

Title
GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition Bo Liu Haoxiang Li Hao Kang G. Hua Nuno Vasconcelos CVBM 15 38 0 01 May 2021
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System Congyin Xia Wenpeng Yin Yihao Feng Philip Yu CLL VLM 19 50 0 24 Apr 2021
Few-shot Continual Learning: a Brain-inspired Approach Liyuan Wang Qian Li Yi Zhong Jun Zhu CLL 26 4 0 19 Apr 2021
Reinforced Attention for Few-Shot Learning and Beyond Jie Hong Pengfei Fang Weihao Li Tong Zhang Christian Simon Mehrtash Harandi L. Petersson 8 48 0 09 Apr 2021
Few-Shot Incremental Learning with Continually Evolved Classifiers Chi Zhang Nan Song Guosheng Lin Yun Zheng Pan Pan Yinghui Xu CLL 36 289 0 07 Apr 2021
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 18 14 0 06 Apr 2021
Attention, please! A survey of Neural Attention Models in Deep Learning Alana de Santana Correia Esther Luna Colombini HAI 21 175 0 31 Mar 2021
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning A. Cheraghian Shafin Rahman Pengfei Fang S. Roy L. Petersson Mehrtash Harandi CLL 17 183 0 06 Mar 2021
Few-Shot Lifelong Learning Pratik Mazumder Pravendra Singh Piyush Rai CLL 23 119 0 01 Mar 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution Amrith Rajagopal Setlur Oscar Li Virginia Smith 30 13 0 23 Feb 2021
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning Idan Achituve Aviv Navon Yochai Yemini Gal Chechik Ethan Fetaya GP 11 33 0 15 Feb 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang Debin Meng H. Gouk Timothy M. Hospedales BDL UQCV 25 67 0 08 Jan 2021
Few-Shot Learning with Class Imbalance Mateusz Ochal Massimiliano Patacchiola Amos Storkey Jose Vazquez Sen Wang 16 35 0 07 Jan 2021
Local Propagation for Few-Shot Learning Yann Lifchitz Yannis Avrithis Sylvaine Picard 24 9 0 05 Jan 2021
MM-FSOD: Meta and metric integrated few-shot object detection Yuewen Li W. Feng Shuchang Lyu Qi Zhao Xuliang Li ObjD 12 12 0 30 Dec 2020
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition Shiyuan Huang Jiawei Ma G. Han Shih-Fu Chang BDL 17 19 0 24 Dec 2020
Progressive One-shot Human Parsing Haoyu He Jing Zhang B. Thuraisingham Dacheng Tao VLM 8 17 0 22 Dec 2020
Prototype-based Incremental Few-Shot Semantic Segmentation Fabio Cermelli Massimiliano Mancini Yongqin Xian Zeynep Akata Barbara Caputo VLM CLL 14 24 0 30 Nov 2020
A Survey on Machine Learning from Few Samples Jiang Lu Pinghua Gong Jieping Ye Jianwei Zhang Changshu Zhang 11 47 0 06 Sep 2020
Class Interference Regularization Bharti Munjal S. Amin Fabio Galasso 6 0 0 04 Sep 2020
Dataset Bias in Few-shot Image Recognition Shuqiang Jiang Yaohui Zhu Chenlong Liu Xinhang Song Xiangyang Li Weiqing Min 13 22 0 18 Aug 2020
Top-Related Meta-Learning Method for Few-Shot Object Detection Qian Li Nan Guo Xiaochun Ye Duo Wang Dongrui Fan Zhimin Tang ObjD VLM 12 0 0 14 Jul 2020
Wandering Within a World: Online Contextualized Few-Shot Learning Mengye Ren Michael L. Iuzzolino Michael C. Mozer R. Zemel CLL 17 32 0 09 Jul 2020
COVID-19 Image Data Collection: Prospective Predictions Are the Future Joseph Paul Cohen Paul Morrison Lan Dao Karsten Roth T. Duong Marzyeh Ghassemi 8 775 0 22 Jun 2020
BI-MAML: Balanced Incremental Approach for Meta Learning Yang Zheng Jinlin Xiang Kun Su Eli Shlizerman CLL 6 10 0 12 Jun 2020
Few-Shot Open-Set Recognition using Meta-Learning Bo Liu Hao Kang Haoxiang Li G. Hua Nuno Vasconcelos BDL EDL 12 89 0 27 May 2020
A Concise Review of Recent Few-shot Meta-learning Methods Xiaoxu Li Z. Sun Jing-Hao Xue Zhanyu Ma VLM OffRL 4 130 0 22 May 2020
Few-Shot Class-Incremental Learning Xiaoyu Tao Xiaopeng Hong Xinyuan Chang Songlin Dong Xing Wei Yihong Gong CLL 22 403 0 23 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 38 1,926 0 11 Apr 2020
MA 3 : Model Agnostic Adversarial Augmentation for Few Shot learning Rohit Jena Shirsendu Sukanta Halder Katia P. Sycara VLM 20 1 0 10 Apr 2020
Learning to Segment the Tail Xinting Hu Yi Jiang Kaihua Tang Jingyuan Chen C. Miao Hanwang Zhang VLM CLL 13 80 0 02 Apr 2020
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning Sung Whan Yoon Do-Yeon Kim Jun Seo Jaekyun Moon CLL 173 46 0 19 Mar 2020
Few-Shot Few-Shot Learning and the role of Spatial Attention Yann Lifchitz Yannis Avrithis Sylvaine Picard SSL 10 7 0 18 Feb 2020
Incremental Meta-Learning via Indirect Discriminant Alignment Qing Liu Orchid Majumder Alessandro Achille Avinash Ravichandran Rahul Bhotika Stefano Soatto CLL 6 6 0 11 Feb 2020
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis Jiechao Guan Zhiwu Lu Tao Xiang Ji-Rong Wen 8 12 0 06 Feb 2020
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning Han-Jia Ye Hexiang Hu De-Chuan Zhan 17 59 0 07 Jun 2019
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal Hongyang Li David Eigen Samuel F. Dodge Matthew D. Zeiler Xiaogang Wang VLM 11 339 0 27 May 2019
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu 17 1,131 0 10 Apr 2019
ProtoAttend: Attention-Based Prototypical Learning Sercan Ö. Arik Tomas Pfister 11 19 0 17 Feb 2019
Prior-Knowledge and Attention-based Meta-Learning for Few-Shot Learning Yunxiao Qin Weiguo Zhang Chenxu Zhao Zezheng Wang Xiangyu Zhu Guojun Qi Jingping Shi Zhen Lei 19 24 0 11 Dec 2018
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha 22 656 0 10 Dec 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 281 11,677 0 09 Mar 2017