A Closer Look at Few-shot Classification

8 April 2019

Papers citing "A Closer Look at Few-shot Classification"

50 / 843 papers shown

Title
Towards Task Sampler Learning for Meta-Learning Wenwen Qiang Jingyao Wang Xingzhe Su Changwen Zheng Gang Hua Hui Xiong 30 10 0 18 Jul 2023
Unifying Token and Span Level Supervisions for Few-Shot Sequence Labeling Zifeng Cheng Qingyu Zhou Zhiwei Jiang Xuemin Zhao Yunbo Cao Qing Gu 26 3 0 16 Jul 2023
One-Shot Action Recognition via Multi-Scale Spatial-Temporal Skeleton Matching Siyuan Yang Jun Liu Shijian Lu Er Meng Hwa Alex C. Kot 42 11 0 14 Jul 2023
Global birdsong embeddings enable superior transfer learning for bioacoustic classification Burooj Ghani Tom Denton Stefan Kahl Holger Klinck 29 50 0 12 Jul 2023
Feature Activation Map: Visual Explanation of Deep Learning Models for Image Classification Yiwen Liao Yongsheng Gao Weichuan Zhang FAtt 17 0 0 11 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 29 70 0 10 Jul 2023
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models? Zihao Jiang Yunkai Dang Dong Pang Huishuai Zhang Weiran Huang VLM 33 2 0 09 Jul 2023
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation Dahyun Kang Piotr Koniusz Minsu Cho Naila Murray VLM ViT 28 25 0 07 Jul 2023
Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning P. JishnuJaykumar Kamalesh Palanisamy Yu-Wei Chao Xinya Du Yu Xiang VLM 23 12 0 06 Jul 2023
Evaluating the Evaluators: Are Current Few-Shot Learning Benchmarks Fit for Purpose? Luísa Shimabucoro Timothy M. Hospedales Henry Gouk UQCV ELM 24 0 0 06 Jul 2023
LPN: Language-guided Prototypical Network for few-shot classification Kaihui Cheng Chule Yang Xiao Liu Naiyang Guan Zhiyuan Wang 47 0 0 04 Jul 2023
Graph Sampling-based Meta-Learning for Molecular Property Prediction Zhuang Xiang Qiang Zhang Bin Wu Keyan Ding Yin Fang Hua-zeng Chen 28 10 0 29 Jun 2023
Unsupervised Episode Generation for Graph Meta-learning Jihyeong Jung Sang-gyu Seo Sungwon Kim Chanyoung Park BDL 28 0 0 27 Jun 2023
Is Pre-training Truly Better Than Meta-Learning? Brando Miranda P. Yu Saumya Goyal Yu-xiong Wang Oluwasanmi Koyejo 44 5 0 24 Jun 2023
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation Massimiliano Patacchiola Mingfei Sun Katja Hofmann Richard Turner OffRL 29 1 0 23 Jun 2023
Taming Small-sample Bias in Low-budget Active Learning Linxin Song Jieyu Zhang Xiaotian Lu Dinesh Manocha AI4CE 20 0 0 19 Jun 2023
Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning Yifan Zhao Tong Zhang Jia Li Yonghong Tian 44 19 0 18 Jun 2023
FewSAR: A Few-shot SAR Image Classification Benchmark Rui Zhang Ziqi Wang Yong Li Jiabao Wang Zhiteng Wang 20 1 0 16 Jun 2023
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation Ren Wang Haoliang Sun Qinglai Wei Xiushan Nie Yuling Ma Yilong Yin 20 0 0 14 Jun 2023
Compositional Prototypical Networks for Few-Shot Classification Qiang Lyu Weiqiang Wang 20 9 0 11 Jun 2023
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How Sebastian Pineda Arango Fabio Ferreira Arlind Kadra Frank Hutter Frank Hutter Josif Grabocka 34 15 0 06 Jun 2023
A Survey of Label-Efficient Deep Learning for 3D Point Clouds Aoran Xiao Xiaoqin Zhang Ling Shao Shijian Lu 3DPC 38 18 0 31 May 2023
SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot Learning Tao Zhang Wu Huang 19 2 0 30 May 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Baoyuan Wu Chun Yuan Dacheng Tao 47 7 0 28 May 2023
Instance-based Max-margin for Practical Few-shot Recognition Minghao Fu Kevin Zhu Jianxin Wu 35 2 0 27 May 2023
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification Idio Guarino Chao Wang A. Finamore A. Pescapé Dario Rossi 21 11 0 21 May 2023
SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification M. Mendez-Ruiz Jorge Gonzalez-Zapata Iván Reyes-Amezcua Daniel Flores-Araiza F. Lopez-Tiro Andres Mendez-Vazquez G. Ochoa-Ruiz 29 2 0 15 May 2023
Artificial intelligence to advance Earth observation: a perspective D. Tuia Konrad Schindler Begüm Demir Gustau Camps-Valls Xiao Xiang Zhu ... Mihai Datcu Jorge-Arnulfo Quiané-Ruiz Volker Markl Bertrand Le Saux Rochelle Schneider 31 10 0 15 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
Robust Saliency-Aware Distillation for Few-shot Fine-grained Visual Recognition Haiqi Liu Chong Chen Xinrong Gong Tong Zhang 35 9 0 12 May 2023
Few Shot Learning for Medical Imaging: A Comparative Analysis of Methodologies and Formal Mathematical Framework Jannatul Nayem Sayed Sahriar Hasan Noshin Amina Bristy Das Md. Shahin Ali M. Ahsan S. Raman 21 10 0 08 May 2023
Learning to Detect Novel and Fine-Grained Acoustic Sequences Using Pretrained Audio Representations Vasudha Kowtha Miquel Espi Marques Jonathan Huang Yichi Zhang C. Avendaño AI4TS 19 0 0 03 May 2023
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models Qiufeng Wang Xu Yang Shuxia Lin Jing Wang Xin Geng 25 10 0 03 May 2023
DocLangID: Improving Few-Shot Training to Identify the Language of Historical Documents Furkan Simsek Brian Pfitzmann Hendrik Raetz Jona Otholt Haojin Yang Christoph Meinel 14 2 0 03 May 2023
Few-shot Classification via Ensemble Learning with Multi-Order Statistics Sai Yang Fan Liu Delong Chen Jun Zhou 24 6 0 30 Apr 2023
Adaptive manifold for imbalanced transductive few-shot learning Michalis Lazarou Yannis Avrithis Tania Stathaki 21 6 0 27 Apr 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning Yi Rong Xiongbo Lu Zhaoyang Sun Yaxiong Chen Shengwu Xiong 26 10 0 26 Apr 2023
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection B. Demirel Orhun Bugra Baran R. G. Cinbis 39 10 0 24 Apr 2023
Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement Hao Zhu Piotr Koniusz 37 40 0 23 Apr 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts Aaditya K. Singh Kartik Sarangmath Prithvijit Chattopadhyay Judy Hoffman OOD 44 1 0 21 Apr 2023
Clustered-patch Element Connection for Few-shot Learning Jinxiang Lai Siqian Yang Junhong Zhou Wenlong Wu Xiao Chen Jun Liu Bin-Bin Gao Chengjie Wang 26 8 0 20 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 43 0 0 13 Apr 2023
Rethinking Dense Retrieval's Few-Shot Ability Si Sun Yi-Wen Lu Shi Yu Xiangyang Li Zhonghua Li Bo Zhao Zhiyuan Liu Deiming Ye Jie Bao 8 0 0 12 Apr 2023
Experience-Based Evolutionary Algorithms for Expensive Optimization Xunzhao Yu Yan Wang Ling Zhu Dimitar Filev Xin Yao 14 2 0 09 Apr 2023
FACE-AUDITOR: Data Auditing in Facial Recognition Systems Min Chen Zhikun Zhang Tianhao Wang Michael Backes Yang Zhang CVBM 30 14 0 05 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner Suhyun Kang Duhun Hwang Moonjung Eo Taesup Kim Wonjong Rhee AI4CE 37 15 0 04 Apr 2023
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution Jaeill Kim Suhyun Kang Duhun Hwang Jungwook Shin Wonjong Rhee DRL 13 21 0 04 Apr 2023
A Closer Look at Few-Shot 3D Point Cloud Classification Chuangguan Ye Erik Cambria Bo-Wen Zhang Tao Chen 3DPC 29 15 0 31 Mar 2023
What Makes for Effective Few-shot Point Cloud Classification? Chuangguan Ye Erik Cambria Yongbin Liao Yang-ting Zhang Tao Chen Jiayuan Fan 3DPC 27 26 0 31 Mar 2023
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation Julio Silva-Rodríguez Jose Dolz Ismail Ben Ayed 66 13 0 29 Mar 2023