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A Closer Look at Few-shot Classification

8 April 2019

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

50 / 845 papers shown

Title
Meta-Learning with a Geometry-Adaptive Preconditioner Suhyun Kang Duhun Hwang Moonjung Eo Taesup Kim Wonjong Rhee AI4CE 78 16 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 109 23 0 04 Apr 2023
A Closer Look at Few-Shot 3D Point Cloud Classification Chuangguan Ye Erik Cambria Bo Zhang Tao Chen 3DPC 89 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 108 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 203 14 0 29 Mar 2023
Rethinking matching-based few-shot action recognition Juliette Bertrand Yannis Kalantidis Giorgos Tolias 67 1 0 28 Mar 2023
Learning Expressive Prompting With Residuals for Vision Transformers Rajshekhar Das Yonatan Dukler Avinash Ravichandran A. Swaminathan VLM VPVLM 71 22 0 27 Mar 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts Jian Liang Ran He Tien-Ping Tan OOD VLM TTA 138 242 0 27 Mar 2023
Supervised Masked Knowledge Distillation for Few-Shot Transformers Hanxi Lin G. Han Jiawei Ma Shiyuan Huang Xudong Lin Shih-Fu Chang 90 36 0 25 Mar 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 130 14 0 15 Mar 2023
Relational Multi-Task Learning: Modeling Relations between Data and Tasks Kaidi Cao Jiaxuan You J. Leskovec 59 17 0 14 Mar 2023
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning Min Zhang Zifeng Zhuang Zhitao Wang Donglin Wang Wen-Bin Li 74 5 0 12 Mar 2023
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap Weiyang Liu L. Yu Adrian Weller Bernhard Schölkopf 102 18 0 11 Mar 2023
DETA: Denoised Task Adaptation for Few-Shot Learning Ji Zhang Lianli Gao Xu Luo Hengtao Shen Jingkuan Song VLM 105 21 0 11 Mar 2023
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning Marco D’Alessandro Alberto Alonso Enrique Calabrés M. Galar CLL 70 13 0 08 Mar 2023
Few-shot Adaptation for Manipulating Granular Materials Under Domain Shift Yifan Zhu Pranay Thangeda Melkior Ornik Kris K. Hauser 95 10 0 06 Mar 2023
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning Huiwon Jang Hankook Lee Jinwoo Shin VLM SSL 97 18 0 02 Mar 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables Jaehyun Nam Jihoon Tack Kyungmin Lee Hankook Lee Jinwoo Shin LMTD SSL 83 34 0 02 Mar 2023
HalluAudio: Hallucinating Frequency as Concepts for Few-Shot Audio Classification Zhongjie Yu Shuyang Wang Lin Chen Zhongwei Cheng VLM 60 3 0 27 Feb 2023
Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach Taehyean Choi Jong-Hwan Kim ObjD 71 6 0 20 Feb 2023
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation Moon Ye-Bin D. Choi Y. Kwon Junsik Kim Tae-Hyun Oh ISeg 103 6 0 20 Feb 2023
An Adaptive Plug-and-Play Network for Few-Shot Learning Hao Li Li Li Yun-Ya Huang Ning Li Yongtao Zhang 78 3 0 18 Feb 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques Wenbin Li Hakim Hacid Ebtesam Almazrouei Merouane Debbah 89 13 0 16 Feb 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification I. Ullah Dustin Carrión-Ojeda Sergio Escalera Isabelle M Guyon Mike Huisman F. Mohr Jan N van Rijn Haozhe Sun Joaquin Vanschoren P. Vu VLM 79 35 0 16 Feb 2023
LipLearner: Customizable Silent Speech Interactions on Mobile Devices Zixiong Su Shitao Fang Jun Rekimoto 82 26 0 12 Feb 2023
Robust Meta Learning for Image based tasks Peng-Tao Jiang Xin Ke Zifeng Wang Chunxi Li OOD UQCV VLM 222 0 0 30 Jan 2023
A Closer Look at Few-shot Classification Again Xu Luo Hao Wu Ji Zhang Lianli Gao Jing Xu Jingkuan Song 86 52 0 28 Jan 2023
Invariant Meta Learning for Out-of-Distribution Generalization Peng-Tao Jiang Ke Xin Zifeng Wang Chunxi Li OOD OODD 50 2 0 26 Jan 2023
Inspecting class hierarchies in classification-based metric learning models Hyeongji Kim P. Parviainen Terje Berge K. Malde 52 0 0 26 Jan 2023
Explore the Power of Dropout on Few-shot Learning Shaobo Lin Xingyu Zeng Rui Zhao 95 0 0 26 Jan 2023
Open-Set Likelihood Maximization for Few-Shot Learning Malik Boudiaf Etienne Bennequin Myriam Tami Antoine Toubhans Pablo Piantanida C´eline Hudelot Ismail Ben Ayed BDL 125 10 0 20 Jan 2023
Exploiting Style Transfer-based Task Augmentation for Cross-Domain Few-Shot Learning Shuzhen Rao Jun Huang Zengming Tang 93 2 0 19 Jan 2023
Concept Discovery for Fast Adapatation Shengyu Feng Hanghang Tong OffRL 85 0 0 19 Jan 2023
Disambiguation of One-Shot Visual Classification Tasks: A Simplex-Based Approach Yassir Bendou Lucas Drumetz Vincent Gripon G. Lioi Bastien Pasdeloup 87 1 0 16 Jan 2023
High-level semantic feature matters few-shot unsupervised domain adaptation Lei Yu Wanqi Yang Sheng Huang Lei Wang Ming Yang 66 3 0 05 Jan 2023
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification Shuang Wang Rui Ma Tieru Wu Yang Cao 91 5 0 02 Jan 2023
Source-Free Unsupervised Domain Adaptation: A Survey Yuqi Fang P. Yap W. Lin Hongtu Zhu Mingxia Liu 226 99 0 31 Dec 2022
A Survey on Federated Recommendation Systems Zehua Sun Yonghui Xu Yang Liu Weiliang He Lanju Kong Fangzhao Wu Yiheng Jiang Li-zhen Cui FedML 113 68 0 27 Dec 2022
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 106 3 0 22 Dec 2022
Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning Models Niels Schlüsener Michael Bücker SLR 124 1 0 16 Dec 2022
Learning useful representations for shifting tasks and distributions Jianyu Zhang Léon Bottou OOD 76 14 0 14 Dec 2022
Federated Few-Shot Learning for Mobile NLP Dongqi Cai Shangguang Wang Yaozong Wu F. Lin Mengwei Xu FedML 93 12 0 12 Dec 2022
Improving Zero-Shot Models with Label Distribution Priors Jonathan Kahana Niv Cohen Yedid Hoshen VLM 136 14 0 01 Dec 2022
Better Generalized Few-Shot Learning Even Without Base Data Seongwoong Kim Dong-Wan Choi 73 8 0 29 Nov 2022
RankDNN: Learning to Rank for Few-shot Learning Qianyu Guo Hongtong Gong Xu Wei Yanwei Fu Weifeng Ge Yizhou Yu Wenqiang Zhang 112 17 0 28 Nov 2022
Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces Xiaoqing Chen Dongrui Wu AAML 91 3 0 28 Nov 2022
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization Stefan Stojanov Anh Thai Zixuan Huang James M. Rehg 101 2 0 28 Nov 2022
Cross-domain Few-shot Segmentation with Transductive Fine-tuning Yuhang Lu Xinyi Wu Zhenyao Wu Song Wang 64 6 0 27 Nov 2022
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks Samuel Hess G. Ditzler 140 2 0 26 Nov 2022
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering Juan Zha Zheng Li Ying Wei Yu Zhang 88 5 0 16 Nov 2022