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CVOCSemRPL: Class-Variance Optimized Clustering, Semantic Information Injection and Restricted Pseudo Labeling based Improved Semi-Supervised Few-Shot Learning

24 January 2025

Papers citing "CVOCSemRPL: Class-Variance Optimized Clustering, Semantic Information Injection and Restricted Pseudo Labeling based Improved Semi-Supervised Few-Shot Learning"

28 / 28 papers shown

Title
Self-Refine: Iterative Refinement with Self-Feedback Aman Madaan Niket Tandon Prakhar Gupta Skyler Hallinan Luyu Gao ... Bodhisattwa Prasad Majumder Katherine Hermann Sean Welleck Amir Yazdanbakhsh Peter Clark ReLM LRM DiffM 253 1,690 0 30 Mar 2023
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning Xingping Dong Tianran Ouyang Shengcai Liao Bo Du Ling Shao 103 6 0 14 Jul 2022
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 1.1K 30,116 0 26 Feb 2021
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning Huaxi Huang Junjie Zhang Jian Zhang Qiang Wu Chang Xu 97 26 0 20 Dec 2020
Iterative label cleaning for transductive and semi-supervised few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 180 62 0 14 Dec 2020
Instance Credibility Inference for Few-Shot Learning Yikai Wang C. Xu Chen Liu Li Zhang Yanwei Fu 80 164 0 26 Mar 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification Pau Rodríguez I. Laradji Alexandre Drouin Alexandre Lacoste 75 196 0 09 Mar 2020
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning Zhongjie Yu Lin Chen Zhongwei Cheng Jiebo Luo 85 110 0 19 Dec 2019
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 280 647 0 17 Oct 2019
Learning to Self-Train for Semi-Supervised Few-Shot Classification Xinzhe Li Qianru Sun Yaoyao Liu Shibao Zheng Qin Zhou Tat-Seng Chua Bernt Schiele SSL 86 272 0 03 Jun 2019
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning Spyros Gidaris N. Komodakis 97 231 0 03 May 2019
Label Propagation for Deep Semi-supervised Learning Ahmet Iscen Giorgos Tolias Yannis Avrithis Ondřej Chum SSL 142 629 0 09 Apr 2019
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout Heda Song M. Torres Ender Ozcan I. Triguero 55 8 0 08 Apr 2019
Meta-Learning with Differentiable Convex Optimization Kwonjoon Lee Subhransu Maji Avinash Ravichandran Stefano Soatto 124 1,271 0 07 Apr 2019
Meta-Transfer Learning for Few-Shot Learning Qianru Sun Yaoyao Liu Tat-Seng Chua Bernt Schiele 243 1,077 0 06 Dec 2018
Meta-Learning with Latent Embedding Optimization Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero R. Hadsell 175 1,375 0 16 Jul 2018
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning Yanbin Liu Juho Lee Minseop Park Saehoon Kim Eunho Yang Sung Ju Hwang Yi Yang 122 671 0 25 May 2018
TADAM: Task dependent adaptive metric for improved few-shot learning Boris N. Oreshkin Pau Rodríguez López Alexandre Lacoste 117 1,320 0 23 May 2018
Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren Eleni Triantafillou S. S. Ravi Jake C. Snell Kevin Swersky J. Tenenbaum Hugo Larochelle R. Zemel SSL 115 1,287 0 02 Mar 2018
Few-Shot Learning with Metric-Agnostic Conditional Embeddings Nathan Hilliard Lawrence Phillips Scott Howland A. Yankov Court D. Corley Nathan Oken Hodas SSL 85 159 0 12 Feb 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 471 4,069 0 16 Nov 2017
Efficient K-Shot Learning with Regularized Deep Networks Donghyun Yoo Haoqi Fan Vishnu Boddeti Kris Kitani 52 31 0 06 Oct 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning Zhenguo Li Fengwei Zhou Fei Chen Hang Li 137 1,127 0 31 Jul 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 309 8,206 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 1.2K 12,023 0 09 Mar 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 629 7,366 0 13 Jun 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.8K 39,734 0 01 Sep 2014
Firefly Algorithm: Recent Advances and Applications Xin-She Yang Xingshi He 74 945 0 18 Aug 2013