A Closer Look at Few-shot Classification

8 April 2019

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

50 / 843 papers shown

Title
GeNIe: Generative Hard Negative Images Through Diffusion Soroush Abbasi Koohpayegani Anuj Singh K. Navaneet Hadi Jamali Rad Hamed Pirsiavash VLM DiffM 29 4 0 05 Dec 2023
A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer Aymen Sadraoui Ségolène Martin Eliott Barbot A. Laurent-Bellue J. Pesquet Catherine Guettier Ismail Ben Ayed MedIm 30 2 0 29 Nov 2023
Robust Transductive Few-shot Learning via Joint Message Passing and Prototype-based Soft-label Propagation Jiahui Wang Qin Xu Bo Jiang Bin Luo 26 0 0 28 Nov 2023
Query by Activity Video in the Wild Tao Hu William Thong Pascal Mettes Cees G. M. Snoek 24 0 0 23 Nov 2023
Exploring Graph Classification Techniques Under Low Data Constraints: A Comprehensive Study Kush Kothari Bhavya Mehta Reshmika Nambiar S. Shrawne 24 0 0 21 Nov 2023
EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge Bufang Yang Lixing He Neiwen Ling Zhenyu Yan Guoliang Xing Xian Shuai Xiaozhe Ren Xin Jiang 47 20 0 18 Nov 2023
Cross-dataset domain adaptation for the classification COVID-19 using chest computed tomography images R. Ouni H. Alhichri OOD 11 1 0 14 Nov 2023
CrashCar101: Procedural Generation for Damage Assessment Jens Parslov Erik Riise Dim P. Papadopoulos 23 1 0 11 Nov 2023
Enhancing Instance-Level Image Classification with Set-Level Labels Renyu Zhang Aly A. Khan Yuxin Chen Robert L. Grossman 25 0 0 09 Nov 2023
The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning Artyom Gadetsky Maria Brbić 22 6 0 06 Nov 2023
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling Wonho Bae Jing Wang Danica J. Sutherland 47 1 0 06 Nov 2023
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification Hao Zheng Runqi Wang Jianzhuang Liu Asako Kanezaki 35 7 0 04 Nov 2023
Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection Min Jae Jung S. Han Joohee Kim 28 13 0 01 Nov 2023
Investigating Relative Performance of Transfer and Meta Learning Benji Alwis 19 0 0 31 Oct 2023
Constructing Sample-to-Class Graph for Few-Shot Class-Incremental Learning Fuyuan Hu Jian Zhang Fan Lyu Linyan Li Fenglei Xu CLL 24 3 0 31 Oct 2023
Adaptive Anchor Label Propagation for Transductive Few-Shot Learning Michalis Lazarou Yannis Avrithis Guangyu Ren Tania Stathaki 19 0 0 30 Oct 2023
Episodic Multi-Task Learning with Heterogeneous Neural Processes Jiayi Shen Xiantong Zhen Qi Qi Wang M. Worring 27 11 0 28 Oct 2023
Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer Jianwei Zhang Suren Jayasuriya Visar Berisha SSL 25 2 0 25 Oct 2023
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning Huan Zhang Jinliang Ding Liang Feng Kay Chen Tan Ke Li 31 3 0 19 Oct 2023
Not Just Learning from Others but Relying on Yourself: A New Perspective on Few-Shot Segmentation in Remote Sensing Hanbo Bi Yingchao Feng Zhiyuan Yan Yongqiang Mao Wenhui Diao Hongqi Wang Xian Sun 19 16 0 19 Oct 2023
Context-Aware Meta-Learning Christopher Fifty Dennis Duan Ronald G. Junkins Ehsan Amid Jurij Leskovec Christopher Ré Sebastian Thrun LRM VLM MLLM 27 10 0 17 Oct 2023
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies Kieran Wood Samuel Kessler Stephen J. Roberts S. Zohren AI4TS 31 2 0 16 Oct 2023
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification Tianjun Ke Haoqun Cao Zenan Ling Feng Zhou UQCV 30 7 0 16 Oct 2023
Plug-and-Play Feature Generation for Few-Shot Medical Image Classification Qianyu Guo Huifang Du Xing Jia Shuyong Gao Yan Teng Haofen Wang Wenqiang Zhang MedIm VLM 27 0 0 14 Oct 2023
Subspace Adaptation Prior for Few-Shot Learning Mike Huisman Aske Plaat Jan N. van Rijn VLM 26 2 0 13 Oct 2023
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques Mike Huisman Aske Plaat Jan N. van Rijn MLT 43 9 0 09 Oct 2023
PatchProto Networks for Few-shot Visual Anomaly Classification Jian Wang Yue Zhuo 35 0 0 07 Oct 2023
Coloring Deep CNN Layers with Activation Hue Loss Louis-Franccois Bouchard Mohsen Ben Lazreg Matthew Toews LLMSV 33 0 0 05 Oct 2023
Logarithm-transform aided Gaussian Sampling for Few-Shot Learning Vaibhav Ganatra 11 3 0 28 Sep 2023
Domain Adaptive Few-Shot Open-Set Learning Debabrata Pal Deeptej More Sai Bhargav Dipesh Tamboli Vaneet Aggarwal Biplab Banerjee 29 2 0 22 Sep 2023
A Systematic Review of Few-Shot Learning in Medical Imaging Eva Pachetti Sara Colantonio 36 17 0 20 Sep 2023
Weak Supervision for Label Efficient Visual Bug Detection F. Rahman 19 2 0 20 Sep 2023
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions Tianxu Wu Shuo Ye Shuhuang Chen Qinmu Peng Xinge You DiffM 35 3 0 15 Sep 2023
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy Jiaren Xiao Quanyu Dai X. Shen Xiaochen Xie Jing Dai James Lam Ka-Wai Kwok 33 6 0 14 Sep 2023
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays Aroof Aimen Arsh Verma Makarand Tapaswi N. C. Krishnan 35 0 0 08 Sep 2023
CDFSL-V: Cross-Domain Few-Shot Learning for Videos Sarinda Samarasinghe Mamshad Nayeem Rizve Navid Kardan M. Shah 25 11 0 07 Sep 2023
Text-to-feature diffusion for audio-visual few-shot learning Otniel-Bogdan Mercea Thomas Hummel A. Sophia Koepke Zeynep Akata VLM 27 2 0 07 Sep 2023
Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot Learning Siyang Jiang Rui Fang Hsi-Wen Chen Wei Ding Ming-Syan Chen 21 1 0 05 Sep 2023
Few-shot Diagnosis of Chest x-rays Using an Ensemble of Random Discriminative Subspaces Kshitiz Garvit Garg Angshuman Paul 6 1 0 31 Aug 2023
Trustworthy Representation Learning Across Domains Ronghang Zhu Dongliang Guo Daiqing Qi Zhixuan Chu Xiang Yu Sheng Li FaML AI4TS 39 2 0 23 Aug 2023
META-SELD: Meta-Learning for Fast Adaptation to the new environment in Sound Event Localization and Detection Jinbo Hu Yin Cao Ming Wu Feiran Yang Ziying Yu Wenwu Wang Mark D. Plumbley J. Yang VLM 24 6 0 17 Aug 2023
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems? Davide Buffelli Ashish Gupta Agnieszka Strzalka Vassilis Plachouras OffRL LRM 29 1 0 16 Aug 2023
Prototypes-oriented Transductive Few-shot Learning with Conditional Transport Long Tian Jing Feng Wenchao Chen Xiaoqiang Chai Liming Wang Xiyang Liu Bo Chen 26 14 0 06 Aug 2023
Adaptive Semantic Consistency for Cross-domain Few-shot Classification Hengchu Lu Yuanjie Shao Xiang Wang Changxin Gao 33 1 0 01 Aug 2023
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in Robotics Ali Ayub Alan R. Wagner CLL 27 4 0 31 Jul 2023
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning Baoquan Zhang Chuyao Luo Demin Yu Huiwei Lin Xutao Li Yunming Ye Bowen Zhang DiffM 40 42 0 31 Jul 2023
Few-shot Image Classification based on Gradual Machine Learning Nanway Chen Xianming Kuang Feiyu Liu K. Wang Qun Chen CLL VLM 27 2 0 28 Jul 2023
Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification Subeen Lee WonJun Moon Hyun Seok Seong Jae-Pil Heo 30 0 0 28 Jul 2023
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation Kai Zheng Huishuai Zhang Weiran Huang 24 4 0 28 Jul 2023
Cos R-CNN for Online Few-shot Object Detection G. P. Data Henry Howard-Jenkins D. W. Murray V. Prisacariu ObjD 30 1 0 25 Jul 2023