Learning to Self-Train for Semi-Supervised Few-Shot Classification

3 June 2019

Shibao Zheng

Bernt Schiele

Papers citing "Learning to Self-Train for Semi-Supervised Few-Shot Classification"

41 / 41 papers shown

Title
CVOCSemRPL: Class-Variance Optimized Clustering, Semantic Information Injection and Restricted Pseudo Labeling based Improved Semi-Supervised Few-Shot Learning Rhythm Baghel Souvik Maji Pratik Mazumder 31 0 0 24 Jan 2025
Meta Co-Training: Two Views are Better than One Jay C. Rothenberger Dimitrios I. Diochnos VLM 25 2 0 29 Nov 2023
SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels Han Yang Tianyu Wang Xiao Hu Chi-Wing Fu NoLa 46 13 0 23 Aug 2023
Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic Segmentation Xinyue Huo Lingxi Xie Wen-gang Zhou Houqiang Li Qi Tian 21 8 0 16 Mar 2023
Towards Label-Efficient Incremental Learning: A Survey Mert Kilickaya Joost van de Weijer Yuki M. Asano CLL 20 4 0 01 Feb 2023
Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation Jun-Kun Wang Andre Wibisono 27 7 0 18 Oct 2022
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning Xingping Dong Jianbing Shen Ling Shao 11 7 0 27 Sep 2022
Class-Specific Channel Attention for Few-Shot Learning Ying Chen J. Hsieh Ming-Ching Chang 10 0 0 03 Sep 2022
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning Xingping Dong Shengcai Liao Bo Du Ling Shao 30 3 0 14 Jul 2022
The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training Gi-Cheon Kang Sungdong Kim Jin-Hwa Kim Donghyun Kwak Byoung-Tak Zhang 19 10 0 25 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 36 342 0 13 May 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling R. Tao Han Zhang Yutong Zheng Marios Savvides 25 20 0 07 Apr 2022
Domain-Agnostic Prior for Transfer Semantic Segmentation Xinyue Huo Lingxi Xie Hengtong Hu Wen-gang Zhou Houqiang Li Qi Tian 11 29 0 06 Apr 2022
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning Rui Xu Lei Xing Shuai Shao Lifei Zhao Baodi Liu Weifeng Liu Yicong Zhou 24 22 0 15 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning Archit Parnami Minwoo Lee MQ 25 156 0 07 Mar 2022
A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues Qian Lin Hwee Tou Ng 22 4 0 22 Feb 2022
Motion Prediction via Joint Dependency Modeling in Phase Space Pengxiang Su Zhenguang Liu Shuang Wu Lei Zhu Yifang Yin Xuanjing Shen 28 27 0 07 Jan 2022
Extract Free Dense Labels from CLIP Chong Zhou Chen Change Loy Bo Dai VLM CLIP 19 454 0 02 Dec 2021
MDFM: Multi-Decision Fusing Model for Few-Shot Learning Shuai Shao Lei Xing Rui Xu Weifeng Liu Yanjiang Wang Baodi Liu 33 30 0 01 Dec 2021
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning Linlan Zhao Dashan Guo Yunlu Xu Liang Qiao Zhanzhan Cheng Shiliang Pu Yi Niu Xi Fang CLL 22 2 0 21 Oct 2021
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-xiong Wang José M. F. Moura 13 28 0 20 Sep 2021
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning Shuai Shao Lei Xing Yan Wang Rui Xu Chunyan Zhao Yanjiang Wang Baodi Liu 36 35 0 16 Sep 2021
Semi-Supervised Wide-Angle Portraits Correction by Multi-Scale Transformer Fushun Zhu Shan Zhao Peng Wang Hao Wang Hua Yan Shuaicheng Liu ViT 10 16 0 14 Sep 2021
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding Shiyang Li Semih Yavuz Wenhu Chen Xifeng Yan 20 12 0 14 Sep 2021
Fine-Grained Few Shot Learning with Foreground Object Transformation Chaofei Wang S. Song Qisen Yang Xiang Li Gao Huang 25 23 0 13 Sep 2021
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems Fei Mi Wanhao Zhou Feng Cai Lingjing Kong Minlie Huang Boi Faltings 27 32 0 28 Aug 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 34 24 0 11 Jun 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 27 22 0 09 Jun 2021
A Closer Look at Self-training for Zero-Label Semantic Segmentation Giuseppe Pastore Fabio Cermelli Yongqin Xian Massimiliano Mancini Zeynep Akata Barbara Caputo VLM 15 68 0 21 Apr 2021
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 12 2 0 19 Nov 2020
Adaptive Aggregation Networks for Class-Incremental Learning Yaoyao Liu Bernt Schiele Qianru Sun CLL 13 215 0 10 Oct 2020
Generalized Few-Shot Video Classification with Video Retrieval and Feature Generation Yongqin Xian Bruno Korbar Matthijs Douze Lorenzo Torresani Bernt Schiele Zeynep Akata VGen 16 18 0 09 Jul 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 19 294 0 09 Jun 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 38 1,926 0 11 Apr 2020
Meta-Transfer Learning through Hard Tasks Qianru Sun Yaoyao Liu Zhaozheng Chen Tat-Seng Chua Bernt Schiele 14 98 0 07 Oct 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning Han-Jia Ye Hexiang Hu De-Chuan Zhan 17 59 0 07 Jun 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Yaoyao Liu Bernt Schiele Qianru Sun BDL 22 128 0 17 Apr 2019
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 99 715 0 13 Jun 2018
Delta-encoder: an effective sample synthesis method for few-shot object recognition Eli Schwartz Leonid Karlinsky J. Shtok Sivan Harary Mattias Marder Rogerio Feris Abhishek Kumar Raja Giryes A. Bronstein 181 351 0 12 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 165 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 281 11,677 0 09 Mar 2017