A Closer Look at Few-shot Classification

8 April 2019

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

50 / 843 papers shown

Title
Rethinking matching-based few-shot action recognition Juliette Bertrand Yannis Kalantidis Giorgos Tolias 32 1 0 28 Mar 2023
Learning Expressive Prompting With Residuals for Vision Transformers Rajshekhar Das Yonatan Dukler Avinash Ravichandran A. Swaminathan VLM VPVLM 30 21 0 27 Mar 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts Jian Liang Ran He Tien-Ping Tan OOD VLM TTA 38 205 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 24 35 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 35 13 0 15 Mar 2023
Relational Multi-Task Learning: Modeling Relations between Data and Tasks Kaidi Cao Jiaxuan You J. Leskovec 22 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 46 5 0 12 Mar 2023
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap Weiyang Liu L. Yu Adrian Weller Bernhard Schölkopf 37 17 0 11 Mar 2023
DETA: Denoised Task Adaptation for Few-Shot Learning Ji Zhang Lianli Gao Xu Luo Hengtao Shen Jingkuan Song VLM 44 19 0 11 Mar 2023
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning Marco D’Alessandro Alberto Alonso Enrique Calabrés M. Galar CLL 43 13 0 08 Mar 2023
Few-shot Adaptation for Manipulating Granular Materials Under Domain Shift Yifan Zhu Pranay Thangeda Melkior Ornik Kris K. Hauser 50 9 0 06 Mar 2023
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning Huiwon Jang Hankook Lee Jinwoo Shin VLM SSL 34 16 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 21 31 0 02 Mar 2023
HalluAudio: Hallucinating Frequency as Concepts for Few-Shot Audio Classification Zhongjie Yu Shuyang Wang Lin Chen Zhongwei Cheng VLM 10 3 0 27 Feb 2023
Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach Taehyean Choi Jong-Hwan Kim ObjD 30 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 30 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 29 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 34 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 26 32 0 16 Feb 2023
LipLearner: Customizable Silent Speech Interactions on Mobile Devices Zixiong Su Shitao Fang Jun Rekimoto 18 26 0 12 Feb 2023
Robust Meta Learning for Image based tasks Peng-Tao Jiang Xin Ke Zifeng Wang Chunxi Li OOD UQCV VLM 60 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 24 48 0 28 Jan 2023
Invariant Meta Learning for Out-of-Distribution Generalization Peng-Tao Jiang Ke Xin Zifeng Wang Chunxi Li OOD OODD 15 2 0 26 Jan 2023
Inspecting class hierarchies in classification-based metric learning models Hyeongji Kim P. Parviainen Terje Berge K. Malde 19 0 0 26 Jan 2023
Explore the Power of Dropout on Few-shot Learning Shaobo Lin Xingyu Zeng Rui Zhao 32 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 34 10 0 20 Jan 2023
Exploiting Style Transfer-based Task Augmentation for Cross-Domain Few-Shot Learning Shuzhen Rao Jun Huang Zengming Tang 22 2 0 19 Jan 2023
Concept Discovery for Fast Adapatation Shengyu Feng Hanghang Tong OffRL 28 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 33 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 27 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 25 5 0 02 Jan 2023
Source-Free Unsupervised Domain Adaptation: A Survey Yuqi Fang P. Yap W. Lin Hongtu Zhu Mingxia Liu 132 90 0 31 Dec 2022
A Survey on Federated Recommendation Systems Zehua Sun Yonghui Xu Yong-Jin Liu Weiliang He Lanju Kong Fangzhao Wu Y. Jiang Li-zhen Cui FedML 26 60 0 27 Dec 2022
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 36 3 0 22 Dec 2022
Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning Models Niels Schlüsener Michael Bücker SLR 14 1 0 16 Dec 2022
Learning useful representations for shifting tasks and distributions Jianyu Zhang Léon Bottou OOD 34 13 0 14 Dec 2022
Federated Few-Shot Learning for Mobile NLP Dongqi Cai Shangguang Wang Yaozong Wu F. Lin Mengwei Xu FedML 13 12 0 12 Dec 2022
Improving Zero-Shot Models with Label Distribution Priors Jonathan Kahana Niv Cohen Yedid Hoshen VLM 9 14 0 01 Dec 2022
Better Generalized Few-Shot Learning Even Without Base Data Seongwoong Kim Dong-Wan Choi 24 7 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 27 14 0 28 Nov 2022
Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces Xiaoqing Chen Dongrui Wu AAML 30 2 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 33 1 0 28 Nov 2022
Cross-domain Few-shot Segmentation with Transductive Fine-tuning Yuhang Lu Xinyi Wu Zhenyao Wu Song Wang 22 6 0 27 Nov 2022
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks Samuel Hess G. Ditzler 49 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 31 5 0 16 Nov 2022
Interpretable Few-shot Learning with Online Attribute Selection M. Zarei Majid Komeili FAtt 35 1 0 16 Nov 2022
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval Deunsol Jung Dahyun Kang Suha Kwak Minsu Cho CLL 27 8 0 14 Nov 2022
Enhancing Few-shot Image Classification with Cosine Transformer Quang-Huy Nguyen Cuong Q. Nguyen Dung D. Le Hieu H. Pham ViT 27 12 0 13 Nov 2022
EEG-Fest: Few-shot based Attention Network for Driver's Vigilance Estimation with EEG Signals Ning Ding Ce Zhang A. Eskandarian 50 4 0 07 Nov 2022
Prototypical quadruplet for few-shot class incremental learning Sanchar Palit Biplab Banerjee S. Chaudhuri CLL 9 1 0 05 Nov 2022