A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities

13 May 2022

Papers citing "A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities"

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Title
Bi-LSTM based Multi-Agent DRL with Computation-aware Pruning for Agent Twins Migration in Vehicular Embodied AI Networks Yuxiang Wei Zhuoqi Zeng Yue Zhong Jiawen Kang R. W. Liu M. S. Hossain 16 0 0 09 May 2025
TinyMA-IEI-PPO: Exploration Incentive-Driven Multi-Agent DRL with Self-Adaptive Pruning for Vehicular Embodied AI Agent Twins Migration Zhuoqi Zeng Yuxiang Wei Jiawen Kang 23 0 0 30 Apr 2025
A Survey on Small Sample Imbalance Problem: Metrics, Feature Analysis, and Solutions Shuxian Zhao Jie Gui Minjing Dong Baosheng Yu Zhipeng Gui Lu Dong Yuan Yan Tang James T. Kwok 21 0 0 21 Apr 2025
Logits DeConfusion with CLIP for Few-Shot Learning Shuo Li F. Liu Zehua Hao X. Wang Lingling Li X. Liu Puhua Chen Wenping Ma VLM 47 0 0 16 Apr 2025
Cross-cultural Deployment of Autonomous Vehicles Using Data-light Inverse Reinforcement Learning Hongliang Lu Shuqi Shen Junjie Yang Chao Lu Xinhu Zheng Hai Yang 27 0 0 15 Apr 2025
Gaze-Guided Learning: Avoiding Shortcut Bias in Visual Classification Jiahang Li Shibo Xue Yong Su 18 0 0 08 Apr 2025
Rethinking industrial artificial intelligence: a unified foundation framework Jay Lee Hanqi Su AI4CE 39 1 0 02 Apr 2025
When Unsupervised Domain Adaptation meets One-class Anomaly Detection: Addressing the Two-fold Unsupervised Curse by Leveraging Anomaly Scarcity Nesryne Mejri Enjie Ghorbel Anis Kacem Pavel Chernakov Niki Maria Foteinopoulou Djamila Aouada 34 0 0 28 Feb 2025
Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network Ritik Mehta Olha Jurecková Mark Stamp 57 30 0 25 Dec 2024
LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learning Bharadwaj Ravichandran Alexander Lynch S. Brockman Brandon RichardWebster Dawei Du A. Hoogs Christopher Funk ObjD VLM 63 0 0 20 Dec 2024
Diffusion in Zero-Shot Learning for Environmental Audio Ysobel Sims Stephan Chalup Alexandre Mendes VLM DiffM 63 0 0 04 Dec 2024
SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting Jie Xu Xiaokang Li Chengyu Yue Yuanyuan Wang Yi Guo MedIm 57 1 0 26 Nov 2024
Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach Elona Shatri Daniel Raymond George Fazekas 65 0 0 25 Nov 2024
FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification Zhengrui Guo Conghao Xiong Jiabo Ma Qichen Sun Lishuang Feng Jinzhuo Wang Hao Chen 85 0 0 22 Nov 2024
TrojanRobot: Physical-World Backdoor Attacks Against VLM-based Robotic Manipulation X. U. Wang Hewen Pan Hangtao Zhang Minghui Li Shengshan Hu ... Peijin Guo Yichen Wang Wei Wan Aishan Liu L. Zhang AAML 74 2 0 18 Nov 2024
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction Liang Wang Qiang Liu Shaozhen Liu Xin Sun Shu Wu Liang Wang 34 0 0 02 Nov 2024
Retrieval-Enhanced Named Entity Recognition Enzo Shiraishi Raphael Y. de Camargo Henrique L. P. Silva Ronaldo C. Prati RALM 13 0 0 17 Oct 2024
MAX: Masked Autoencoder for X-ray Fluorescence in Geological Investigation An-Sheng Lee Yu-Wen Pao Hsuan-Tien Lin Sofia Ya Hsuan Liou 18 1 0 16 Oct 2024
A Survey of Low-shot Vision-Language Model Adaptation via Representer Theorem Kun Ding Ying Wang Gaofeng Meng Shiming Xiang VLM 24 0 0 15 Oct 2024
In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar Tasks Dingzirui Wang Xuanliang Zhang Qiguang Chen Longxu Dou Xiao Xu ... Qingfu Zhu Wanxiang Che Binhua Li Fei Huang Yongbin Li 21 0 0 02 Oct 2024
Few-Shot Domain Adaptation for Learned Image Compression Tianyu Zhang Haotian Zhang Yuqi Li Li Li Dong Liu VLM 27 1 0 17 Sep 2024
Brain-inspired Artificial Intelligence: A Comprehensive Review Jing Ren Feng Xia AI4CE 24 3 0 27 Aug 2024
QUITO: Accelerating Long-Context Reasoning through Query-Guided Context Compression Zhaohong Liu Yihang Wang Yixing Fan Huaming Liao Peng Dong 14 1 0 01 Aug 2024
A Comprehensive Review of Few-shot Action Recognition Yuyang Wanyan Xiaoshan Yang Weiming Dong Changsheng Xu VLM 49 3 0 20 Jul 2024
Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model Pascal Schlachter Simon Wagner Bin Yang TTA 31 1 0 19 Jul 2024
Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection Federico Girella Ziyue Liu Franco Fummi Francesco Setti Marco Cristani Luigi Capogrosso 24 3 0 04 Jul 2024
Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task Jie Liu Yao Wu Xiaotong Luo Zongze Wu 18 0 0 09 Jun 2024
llmNER: (Zero\|Few)-Shot Named Entity Recognition, Exploiting the Power of Large Language Models F. Villena Luis Miranda Claudio Aracena 37 2 0 06 Jun 2024
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation Erik Landolsi Fredrik Kahl DiffM 40 0 0 05 Jun 2024
Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction Zeyu Wang Tianyi Jiang Yao Lu Xiaoze Bao Shanqing Yu Bin Wei Qi Xuan 19 1 0 24 May 2024
MetaFruit Meets Foundation Models: Leveraging a Comprehensive Multi-Fruit Dataset for Advancing Agricultural Foundation Models Jiajia Li Kyle Lammers Xunyuan Yin Xiang Yin Long He Renfu Lu Zhaojian Li 20 0 0 14 May 2024
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters J. Lavington Ke Zhang Vasileios Lioutas Matthew Niedoba Yunpeng Liu ... Xiaoxuan Liang Setareh Dabiri Adam Scibior Berend Zwartsenberg Frank D. Wood 14 5 0 07 May 2024
A Survey of Few-Shot Learning for Biomedical Time Series Chenqi Li Timothy Denison Tingting Zhu 14 1 0 03 May 2024
On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning? Maxime Zanella Ismail Ben Ayed VLM MLLM 30 22 0 03 May 2024
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation Min Zhang Haoxuan Li Fei Wu Kun Kuang OODD 19 12 0 30 Apr 2024
Towards Incremental Learning in Large Language Models: A Critical Review M. Jovanovic Peter Voss ELM CLL KELM 26 5 0 28 Apr 2024
Comparison of self-supervised in-domain and supervised out-domain transfer learning for bird species recognition H. Ghaffari Paul Devos 24 0 0 26 Apr 2024
Exploring the landscape of large language models: Foundations, techniques, and challenges M. Moradi Ke Yan David Colwell Matthias Samwald Rhona Asgari OffRL 34 1 0 18 Apr 2024
Few-shot Online Anomaly Detection and Segmentation Shenxing Wei Xing Wei Zhiheng Ma Songlin Dong Shaochen Zhang Yihong Gong 20 8 0 27 Mar 2024
Reasoning Runtime Behavior of a Program with LLM: How Far Are We? Junkai Chen Zhiyuan Pan Xing Hu Zhenhao Li Ge Li Xin Xia LRM 21 20 0 25 Mar 2024
Comprehensive Evaluation and Insights into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation Shanthi Karpurapu Sravanthy Myneni Unnati Nettur Likhit Sagar Gajja Dave Burke Tom Stiehm Jeffery Payne LM&MA 19 5 0 22 Mar 2024
Few-shot Object Localization Yunhan Ren Bo Li Chengyang Zhang Yong Zhang Baocai Yin 24 1 0 19 Mar 2024
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications Minyang Hu Hong Chang Zong Guo Bingpeng Ma Shiguang Shan Xilin Chen VLM 19 1 0 06 Mar 2024
Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning Huali Xu Li Liu Shuaifeng Zhi Shaojing Fu Z. Su Ming-Ming Cheng Yongxiang Liu 50 4 0 04 Mar 2024
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends Abolfazl Younesi Mohsen Ansari Mohammadamin Fazli A. Ejlali Muhammad Shafique Joerg Henkel 3DV 33 43 0 23 Feb 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective Jeng-Lin Li Chih-Fan Hsu Ming-Ching Chang Wei-Chao Chen OOD 28 2 0 20 Feb 2024
Learning by Watching: A Review of Video-based Learning Approaches for Robot Manipulation Chrisantus Eze Christopher Crick SSL 68 11 0 11 Feb 2024
Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data Felix Ott Lucas Heublein N. Raichur Tobias Feigl Jonathan Hansen A. Rügamer Christopher Mutschler 6 7 0 09 Feb 2024
AED: Adaptable Error Detection for Few-shot Imitation Policy Jia-Fong Yeh Kuo-Han Hung Pang-Chi Lo Chi-Ming Chung Tsung-Han Wu Hung-Ting Su Yi-Ting Chen Winston H. Hsu 19 1 0 06 Feb 2024
English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language Prompts Patrick Bareiss Roman Klinger Jeremy Barnes 11 6 0 05 Feb 2024