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Diversity with Cooperation: Ensemble Methods for Few-Shot Classification

27 March 2019

Papers citing "Diversity with Cooperation: Ensemble Methods for Few-Shot Classification"

50 / 105 papers shown

Title
Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs Xingliang Yuan Xuanli He Lingjuan Lyu Zhuang Li Gholamreza Haffari MLAU 91 23 0 29 Aug 2021
Learning Class-level Prototypes for Few-shot Learning Minglei Yuan Wenhai Wang Tao Wang Chunhao Cai Qian Xu Tong Lu VLM 29 3 0 25 Aug 2021
Transductive Few-Shot Classification on the Oblique Manifold Guodong Qi Huimin Yu Zhaohui Lu Shuzhao Li 70 45 0 09 Aug 2021
Multi-Level Contrastive Learning for Few-Shot Problems Qing Chen Jian Zhang 82 5 0 15 Jul 2021
Learning a Discriminant Latent Space with Neural Discriminant Analysis Mai Lan Ha Gianni Franchi Emanuel Aldea V. Blanz 95 1 0 13 Jul 2021
Multi-headed Neural Ensemble Search Ashwin Raaghav Narayanan Arber Zela Tonmoy Saikia Thomas Brox Frank Hutter UQCV 46 4 0 09 Jul 2021
Ensemble Making Few-Shot Learning Stronger Qing Lin Yongbin Liu Wen Wen Z. Tao ViT 21 12 0 12 May 2021
Pareto Self-Supervised Training for Few-Shot Learning Zhengyu Chen Jixie Ge Heshen Zhan Siteng Huang Donglin Wang 81 119 0 16 Apr 2021
Class-Balanced Distillation for Long-Tailed Visual Recognition Ahmet Iscen A. Araújo Boqing Gong Cordelia Schmid 128 36 0 12 Apr 2021
Deep Ensemble Collaborative Learning by using Knowledge-transfer Graph for Fine-grained Object Classification Naoki Okamoto Soma Minami Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi FedML 38 2 0 27 Mar 2021
Learning Dynamic Alignment via Meta-filter for Few-shot Learning C. Xu Chen Liu Li Zhang Chengjie Wang Jilin Li Feiyue Huang Xiangyang Xue Yanwei Fu 97 105 0 25 Mar 2021
Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation Tao Chen G. Xie Yazhou Yao Qiong Wang Fumin Shen Zhenmin Tang Jian Zhang VLM 53 44 0 22 Feb 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation Alexandre Ramé Matthieu Cord FedML 85 52 0 14 Jan 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang Debin Meng Henry Gouk Timothy M. Hospedales BDL UQCV 107 72 0 08 Jan 2021
Local Propagation for Few-Shot Learning Yann Lifchitz Yannis Avrithis Sylvaine Picard 87 9 0 05 Jan 2021
Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier Arkabandhu Chowdhury Mingchao Jiang Swarat Chaudhuri C. Jermaine VLM 89 42 0 03 Jan 2021
Spatial Contrastive Learning for Few-Shot Classification Yassine Ouali C´eline Hudelot Myriam Tami 59 50 0 26 Dec 2020
Incremental Learning from Low-labelled Stream Data in Open-Set Video Face Recognition Eric López-López Carlos V. Regueiro X. M. Pardo CLL 52 21 0 17 Dec 2020
Fine-grained Angular Contrastive Learning with Coarse Labels Guy Bukchin Eli Schwartz Kate Saenko Ori Shahar Rogerio Feris Raja Giryes Leonid Karlinsky 105 54 0 07 Dec 2020
SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning J. Cai B. Cai S. Shen 37 7 0 03 Dec 2020
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification Xiaoxu Li Jijie Wu Z. Sun Zhanyu Ma Jie Cao Jing-Hao Xue 72 127 0 29 Nov 2020
Mixture-based Feature Space Learning for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 86 72 0 24 Nov 2020
Cooperating RPN's Improve Few-Shot Object Detection Weilin Zhang Yu-Xiong Wang David A. Forsyth ObjD 91 20 0 19 Nov 2020
Generalized Negative Correlation Learning for Deep Ensembling Sebastian Buschjäger Lukas Pfahler K. Morik FedML BDL UQCV 69 17 0 05 Nov 2020
Learning to Learn Variational Semantic Memory Xiantong Zhen Yingjun Du Huan Xiong Qiang Qiu Cees G. M. Snoek Ling Shao SSL BDL VLM DRL 61 36 0 20 Oct 2020
Deep Ensembles for Low-Data Transfer Learning Basil Mustafa C. Riquelme J. Puigcerver andAndré Susano Pinto Daniel Keysers N. Houlsby FedML OOD 56 24 0 14 Oct 2020
Cross-Domain Few-Shot Learning by Representation Fusion Thomas Adler Johannes Brandstetter Michael Widrich Andreas Mayr David P. Kreil Michael K Kopp Günter Klambauer Sepp Hochreiter OOD 101 45 0 13 Oct 2020
Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition Siteng Huang Min Zhang Yachen Kang Donglin Wang 49 43 0 10 Sep 2020
A Survey on Machine Learning from Few Samples Jiang Lu Pinghua Gong Jieping Ye Jianwei Zhang Changshu Zhang 95 52 0 06 Sep 2020
Meta-Learning with Shared Amortized Variational Inference E. Iakovleva Jakob Verbeek Alahari Karteek OOD FedML BDL 55 22 0 27 Aug 2020
Few-Shot Learning with Intra-Class Knowledge Transfer Vivek Roy Yan Xu Yu-Xiong Wang Kris Kitani Ruslan Salakhutdinov M. Hebert VLM 57 3 0 22 Aug 2020
Concept Learners for Few-Shot Learning Kaidi Cao Maria Brbic J. Leskovec VLM OffRL 92 4 0 14 Jul 2020
Self-supervised Knowledge Distillation for Few-shot Learning Jathushan Rajasegaran Salman Khan Munawar Hayat Fahad Shahbaz Khan M. Shah SSL 96 93 0 17 Jun 2020
Ensemble Distillation for Robust Model Fusion in Federated Learning Tao R. Lin Lingjing Kong Sebastian U. Stich Martin Jaggi FedML 119 1,057 0 12 Jun 2020
Cross-Domain Few-Shot Learning with Meta Fine-Tuning J. Cai S. Shen 71 29 0 21 May 2020
Meta-Meta Classification for One-Shot Learning Arkabandhu Chowdhury Dipak Chaudhari Swarat Chaudhuri C. Jermaine 65 5 0 17 Apr 2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning Jinhwan Seo Hong G Jung Seong-Whan Lee SSL 72 39 0 01 Apr 2020
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification Nikita Dvornik Cordelia Schmid Julien Mairal VLM 229 24 0 20 Mar 2020
StarNet: towards Weakly Supervised Few-Shot Object Detection Leonid Karlinsky J. Shtok Amit Alfassy M. Lichtenstein Sivan Harary ... Sivan Doveh P. Sattigeri Rogerio Feris A. Bronstein Raja Giryes 75 6 0 15 Mar 2020
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification M. Lichtenstein P. Sattigeri Rogerio Feris Raja Giryes Leonid Karlinsky 102 77 0 14 Mar 2020
Incremental Few-Shot Object Detection Juan-Manuel Perez-Rua Xiatian Zhu Timothy M. Hospedales Tao Xiang ObjD CLL 72 218 0 10 Mar 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification Pau Rodríguez I. Laradji Alexandre Drouin Alexandre Lacoste 73 196 0 09 Mar 2020
Towards Fair Cross-Domain Adaptation via Generative Learning Tongxin Wang Zhengming Ding Wei Shao Haixu Tang Kun Huang TTA 86 9 0 04 Mar 2020
Few-Shot Few-Shot Learning and the role of Spatial Attention Yann Lifchitz Yannis Avrithis Sylvaine Picard SSL 65 7 0 18 Feb 2020
Meta-Learning across Meta-Tasks for Few-Shot Learning Nanyi Fei Zhiwu Lu Yizhao Gao Jia Tian Tao Xiang Ji-Rong Wen 270 11 0 11 Feb 2020
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis Jiechao Guan Zhiwu Lu Tao Xiang Ji-Rong Wen 44 12 0 06 Feb 2020
Optimized Generic Feature Learning for Few-shot Classification across Domains Tonmoy Saikia Thomas Brox Cordelia Schmid VLM 77 49 0 22 Jan 2020
A Broader Study of Cross-Domain Few-Shot Learning Yunhui Guo Noel Codella Leonid Karlinsky James V. Codella John R. Smith Kate Saenko Tajana Simunic Rogerio Feris 88 45 0 16 Dec 2019
Associative Alignment for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 75 151 0 11 Dec 2019
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification Sivan Doveh Eli Schwartz Chao Xue Rogerio Feris A. Bronstein Raja Giryes Leonid Karlinsky 106 17 0 01 Dec 2019