Alleviating the Sample Selection Bias in Few-shot Learning by Removing
Projection to the Centroid

Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid

Neural Information Processing Systems (NeurIPS), 2022

30 October 2022

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Papers citing "Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid"

18 / 18 papers shown

Title
Free Lunch to Meet the Gap: Intermediate Domain Reconstruction for Cross-Domain Few-Shot LearningInternational Journal of Computer Vision (IJCV), 2025 Tong-yi Zhang Yifan Zhao Liangyu Wang Jia Li 123 1 0 18 Nov 2025
Reliable Few-shot Learning under Dual NoisesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 Ji Zhang Jingkuan Song Lianli Gao Andrii Zadaianchuk Heng Tao Shen NoLa 269 7 0 19 Jun 2025
PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs Jianqing Zhang Yang Liu Jie Fu Yang Hua Tianyuan Zou Jian Cao Qiang Yang 192 1 0 04 Jun 2025
Unbiased Max-Min Embedding Classification for Transductive Few-Shot Learning: Clustering and Classification Are All You Need Yang Liu Feixiang Liu Jiale Du Xinbo Gao Jungong Han 188 0 0 28 Mar 2025
FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning Dongping Liao X. Gao Yabo Xu Chengzhong Xu FedML VLM 235 0 0 28 Mar 2025
Low-resource Information Extraction with the European Clinical Case Corpus Soumitra Ghosh Begona Altuna Saeed Farzi Pietro Ferrazzi A. Lavelli Giulia Mezzanotte Manuela Speranza Bernardo Magnini 207 1 0 26 Mar 2025
IceBerg: Debiased Self-Training for Class-Imbalanced Node ClassificationThe Web Conference (WWW), 2025 Zhixun Li Dingshuo Chen Tong Zhao Ziyu Zhao Hongrui Liu Qing Cui Jun Zhou Jeffrey Xu Yu SSL 333 3 0 10 Feb 2025
Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery Yao Yang Wei Liu Xiangxin Zhou Mingqian Li Qiang Zhang Hongyang Chen Xuemin Lin 214 1 0 28 Oct 2024
Meta Episodic learning with Dynamic Task Sampling for CLIP-based Point Cloud Classification S. Ghose Yang Wang 3DPC 148 0 0 01 Apr 2024
Boosting Few-Shot Learning via Attentive Feature RegularizationAAAI Conference on Artificial Intelligence (AAAI), 2024 Xingyu Zhu Shuo Wang Jinda Lu Yanbin Hao Haifeng Liu Xiangnan He 160 18 0 23 Mar 2024
BECLR: Batch Enhanced Contrastive Few-Shot Learning Stylianos Poulakakis-Daktylidis Hadi Jamali Rad 239 7 0 04 Feb 2024
TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning Shuangmei Wang Yang Cao Tieru Wu CLL 242 0 0 07 Dec 2023
Robust Transductive Few-shot Learning via Joint Message Passing and Prototype-based Soft-label Propagation Jiahui Wang Qin Xu Bo Jiang Bin Luo 191 0 0 28 Nov 2023
A General-Purpose Self-Supervised Model for Computational Pathology Richard J. Chen Tong Ding Ming Y. Lu Drew F. K. Williamson Guillaume Jaume ... Judy J. Wang Walt Williams L. Le Georg Gerber Faisal Mahmood MedIm 287 53 0 29 Aug 2023
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical EmbeddingsComputer Vision and Pattern Recognition (CVPR), 2023 Daniel J. Trosten Rwiddhi Chakraborty Sigurd Løkse Kristoffer Wickstrøm Robert Jenssen Michael C. Kampffmeyer 149 23 0 16 Mar 2023
DETA: Denoised Task Adaptation for Few-Shot LearningIEEE International Conference on Computer Vision (ICCV), 2023 Ji Zhang Lianli Gao Xu Luo Hengtao Shen Jingkuan Song VLM 290 27 0 11 Mar 2023
A Closer Look at Few-shot Classification AgainInternational Conference on Machine Learning (ICML), 2023 Xu Luo Hao Wu Ji Zhang Lianli Gao Jing Xu Jingkuan Song 196 69 0 28 Jan 2023
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot ClassificationImage and Vision Computing (IVC), 2023 Shuang Wang Rui Ma Tieru Wu Yang Cao 201 6 0 02 Jan 2023