Papers citing 'A Baseline for Few-Shot Image Classification'

Title
Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback Boaz Lerner N. Darshan Rami Ben-Ari 135 1 0 18 Dec 2023
TransMed: Large Language Models Enhance Vision Transformer for Biomedical Image Classification Kaipeng Zheng Weiran Huang Lichao Sun LM&MA MedIm VLM 242 0 0 12 Dec 2023
RAFIC: Retrieval-Augmented Few-shot Image Classification Hangfei Lin Li Miao Amir Ziai 85 0 0 11 Dec 2023
GeNIe: Generative Hard Negative Images Through Diffusion Soroush Abbasi Koohpayegani Anuj Singh K. Navaneet Hadi Jamali Rad Hamed Pirsiavash VLM DiffM 266 6 0 05 Dec 2023
Simple Transferability Estimation for Regression TasksConference on Uncertainty in Artificial Intelligence (UAI), 2023 Cuong N. Nguyen Phong Tran L. Ho Vu C. Dinh Anh Tran Tal Hassner Cuong V Nguyen 231 6 0 01 Dec 2023
Few-Shot Classification & Segmentation Using Large Language Models Agent Tian Meng Yang Tao Wuliang Yin VLM 224 3 0 19 Nov 2023
Semantic-aware Video Representation for Few-shot Action RecognitionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Yutao Tang Benjamin Bejar René Vidal 249 12 0 10 Nov 2023
The Pursuit of Human Labeling: A New Perspective on Unsupervised LearningNeural Information Processing Systems (NeurIPS), 2023 Artyom Gadetsky Maria Brbić 197 8 0 06 Nov 2023
Generalized Category Discovery with Clustering Assignment ConsistencyInternational Conference on Neural Information Processing (ICONIP), 2023 Xiangli Yang Xinglin Pan Irwin King Zenglin Xu 109 4 0 30 Oct 2023
GRLib: An Open-Source Hand Gesture Detection and Recognition Python Library Jan Warchocki Mikhail Vlasenko Y. B. Eisma SLR 227 4 0 23 Oct 2023
Transductive Learning for Textual Few-Shot Classification in API-based Embedding ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Pierre Colombo Victor Pellegrain Malik Boudiaf Victor Storchan Myriam Tami Ismail Ben Ayed C´eline Hudelot Pablo Piantanida 160 8 0 21 Oct 2023
Not Just Learning from Others but Relying on Yourself: A New Perspective on Few-Shot Segmentation in Remote SensingIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023 Hanbo Bi Yingchao Feng Zhiyuan Yan Yongqiang Mao Wenhui Diao Hongqi Wang Xian Sun 105 27 0 19 Oct 2023
Context-Aware Meta-LearningInternational Conference on Learning Representations (ICLR), 2023 Christopher Fifty Dennis Duan Ronald G. Junkins Ehsan Amid Jurij Leskovec Christopher Ré Sebastian Thrun LRM VLM MLLM 220 24 0 17 Oct 2023
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following StrategiesThe Journal of Financial Data Science (JFDS), 2023 Kieran Wood Samuel Kessler Stephen J. Roberts S. Zohren AI4TS 219 4 0 16 Oct 2023
Making Scalable Meta Learning PracticalNeural Information Processing Systems (NeurIPS), 2023 Sang Keun Choe Sanket Vaibhav Mehta Hwijeen Ahn Willie Neiswanger Pengtao Xie Emma Strubell Eric Xing 252 20 0 09 Oct 2023
From Channel Bias to Feature Redundancy: Uncovering the "Less is More" Principle in Few-Shot Learning Ji Zhang Xu Luo Lianli Gao Difan Zou Hengtao Shen Jingkuan Song 293 1 0 05 Oct 2023
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot ConditionsIEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2023 Tianxu Wu Shuo Ye Shuhuang Chen Qinmu Peng Xinge You DiffM 192 6 0 15 Sep 2023
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-raysIEEE International Symposium on Biomedical Imaging (ISBI), 2023 Aroof Aimen Arsh Verma Makarand Tapaswi N. C. Krishnan 155 1 0 08 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 179 2 0 05 Sep 2023
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot ClassificationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Marzi Heidari Abdullah Alchihabi Qing En Yuhong Guo VLM 214 1 0 04 Sep 2023
When hard negative sampling meets supervised contrastive learning Zijun Long George Killick R. McCreadie Gerardo Aragon Camarasa Zaiqiao Meng SSL 148 5 0 28 Aug 2023
Rethinking the Localization in Weakly Supervised Object LocalizationACM Multimedia (ACM MM), 2023 Rui Xu Yong Luo Han Hu Bo Du Jialie Shen Yonggang Wen WSOL 214 5 0 11 Aug 2023
Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience Rongguang Wang G. Erus Pratik Chaudhari Christos Davatzikos OOD 182 6 0 06 Aug 2023
Prototypes-oriented Transductive Few-shot Learning with Conditional TransportIEEE International Conference on Computer Vision (ICCV), 2023 Long Tian Jing Feng Wenchao Chen Xiaoqiang Chai Liming Wang Xiyang Liu Bo Chen 178 20 0 06 Aug 2023
Adaptive Semantic Consistency for Cross-domain Few-shot Classification Hengchu Lu Yuanjie Shao Xiang Wang Changxin Gao 147 2 0 01 Aug 2023
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank CorrelationNeural Information Processing Systems (NeurIPS), 2023 Kai Zheng Huishuai Zhang Weiran Huang 147 12 0 28 Jul 2023
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce EdgeInternational Conference on Machine Learning (ICML), 2023 Young D. Kwon Rui Li Stylianos I. Venieris Jagmohan Chauhan Nicholas D. Lane Cecilia Mascolo 205 20 0 19 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 143 4 0 16 Jul 2023
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & SegmentationComputer Vision and Pattern Recognition (CVPR), 2023 Dahyun Kang Piotr Koniusz Minsu Cho Naila Murray VLM ViT 202 36 0 07 Jul 2023
Evaluating the Evaluators: Are Current Few-Shot Learning Benchmarks Fit for Purpose? Luísa Shimabucoro Timothy M. Hospedales Henry Gouk UQCV ELM 133 0 0 06 Jul 2023
Multimodal Prompt Learning for Product Title Generation with Extremely Limited LabelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Bang-ju Yang Fenglin Liu Zheng Li Qingyu Yin Chenyu You Bing Yin Yuexian Zou VLM 172 5 0 05 Jul 2023
Is Pre-training Truly Better Than Meta-Learning? Alycia Lee P. Yu Saumya Goyal Yu-Xiong Wang Oluwasanmi Koyejo 212 8 0 24 Jun 2023
Dual Adaptive Representation Alignment for Cross-domain Few-shot LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Yifan Zhao Tong Zhang Jia Li Yonghong Tian 136 31 0 18 Jun 2023
MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image ClassificationScientific Data (Sci Data), 2023 Yi Xu Xiaosong Wang Lilong Wang Mengzhang Li Q. Da ... Qi Duan Jie Zhao Kang Li Yu Qiao Shaoting Zhang VLM MedIm 203 52 0 16 Jun 2023
Neural Fine-Tuning Search for Few-Shot LearningInternational Conference on Learning Representations (ICLR), 2023 Panagiotis Eustratiadis Łukasz Dudziak Da Li Timothy M. Hospedales 146 7 0 15 Jun 2023
DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via Restricted Adversarial DistillationACM Asia Conference on Computer and Communications Security (AsiaCCS), 2023 Zhicong Yan Shenghong Li Ruijie Zhao Yuan Tian Yuanyuan Zhao AAML 140 13 0 13 Jun 2023
Compositional Prototypical Networks for Few-Shot ClassificationAAAI Conference on Artificial Intelligence (AAAI), 2023 Qiang Lyu Weiqiang Wang 107 14 0 11 Jun 2023
Transfer learning for atomistic simulations using GNNs and kernel mean embeddingsNeural Information Processing Systems (NeurIPS), 2023 Johannes Falk L. Bonati P. Novelli Michele Parinello Massimiliano Pontil 353 10 0 02 Jun 2023
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation LearnersNeural Information Processing Systems (NeurIPS), 2023 Yonglong Tian Lijie Fan Phillip Isola Huiwen Chang Dilip Krishnan VLM DiffM 333 203 0 01 Jun 2023
Instance-based Max-margin for Practical Few-shot RecognitionComputer Vision and Pattern Recognition (CVPR), 2023 Minghao Fu Kevin Zhu Jianxin Wu 200 6 0 27 May 2023
Non-adversarial Robustness of Deep Learning Methods for Computer Vision Gorana Gojić V. Vincan O. Kundacina D. Mišković Dinu Dragan OOD 115 7 0 24 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 236 14 0 08 May 2023
The Training Process of Many Deep Networks Explores the Same Low-Dimensional ManifoldProceedings of the National Academy of Sciences of the United States of America (PNAS), 2023 Jialin Mao Itay Griniasty H. Teoh Rahul Ramesh Rubing Yang Mark K. Transtrum James P. Sethna Pratik Chaudhari 3DPC 209 20 0 02 May 2023
Adaptive manifold for imbalanced transductive few-shot learningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Michalis Lazarou Yannis Avrithis Tania Stathaki 178 6 0 27 Apr 2023
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object DetectionComputer Vision and Pattern Recognition (CVPR), 2023 B. Demirel Orhun Bugra Baran R. G. Cinbis 234 19 0 24 Apr 2023
Glocal Energy-based Learning for Few-Shot Open-Set RecognitionComputer Vision and Pattern Recognition (CVPR), 2023 Haoyu Wang Guansong Pang Peng Wang Lei Zhang Wei Wei Yanning Zhang 127 21 0 24 Apr 2023
Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph RefinementComputer Vision and Pattern Recognition (CVPR), 2023 Hao Zhu Piotr Koniusz 246 55 0 23 Apr 2023
Leveraging sparse and shared feature activations for disentangled representation learningNeural Information Processing Systems (NeurIPS), 2023 Marco Fumero F. Wenzel Luca Zancato Alessandro Achille Emanuele Rodolà Stefano Soatto Bernhard Schölkopf Francesco Locatello OOD DRL 228 32 0 17 Apr 2023
Task Adaptive Feature Transformation for One-Shot Learning Imtiaz Masud Ziko Freddy Lecue Ismail Ben Ayed VLM 126 2 0 13 Apr 2023
LSFSL: Leveraging Shape Information in Few-shot Learning Deepan Padmanabhan Shruthi Gowda Elahe Arani Bahram Zonooz 148 8 0 13 Apr 2023