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

3 June 2019

Shibao Zheng

Bernt Schiele

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

50 / 127 papers shown

Title
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 84 2 0 21 Oct 2021
LiST: Lite Prompted Self-training Makes Parameter-Efficient Few-shot Learners Yaqing Wang Subhabrata Mukherjee Xiaodong Liu Jing Gao Ahmed Hassan Awadallah Jianfeng Gao VLM BDL 110 11 0 12 Oct 2021
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-Xiong Wang José M. F. Moura 86 29 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 100 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 61 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 73 12 0 14 Sep 2021
Fine-Grained Few Shot Learning with Foreground Object Transformation Chaofei Wang S. Song Qisen Yang Xiang Li Gao Huang 93 24 0 13 Sep 2021
Few-shot Learning via Dependency Maximization and Instance Discriminant Analysis Zejiang Hou S. Kung 47 1 0 07 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 92 32 0 28 Aug 2021
Transductive Few-Shot Classification on the Oblique Manifold Guodong Qi Huimin Yu Zhaohui Lu Shuzhao Li 72 45 0 09 Aug 2021
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation Thanh-Dat Truong C. Duong Ngan Le Son Lam Phung Chase Rainwater Khoa Luu 127 40 0 06 Aug 2021
Multi-Level Contrastive Learning for Few-Shot Problems Qing Chen Jian Zhang 90 5 0 15 Jul 2021
Zero-Shot Compositional Concept Learning Guangyue Xu Parisa Kordjamshidi J. Chai CoGe 139 19 0 12 Jul 2021
Few-Shot Learning with a Strong Teacher Han-Jia Ye Lu Ming De-Chuan Zhan Wei-Lun Chao 101 54 0 01 Jul 2021
Mutual-Information Based Few-Shot Classification Malik Boudiaf Imtiaz Masud Ziko Jérôme Rony Jose Dolz Ismail Ben Ayed Pablo Piantanida VLM 76 2 0 23 Jun 2021
Contextualizing Meta-Learning via Learning to Decompose Han-Jia Ye Da-Wei Zhou Lanqing Hong Zhenguo Li Xiu-Shen Wei De-Chuan Zhan 85 7 0 15 Jun 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 100 25 0 11 Jun 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 104 23 0 09 Jun 2021
Noisy student-teacher training for robust keyword spotting Hyun-jin Park Pai Zhu Ignacio López Moreno Niranjan A. Subrahmanya NoLa 53 17 0 03 Jun 2021
Semi-Supervised Few-Shot Classification with Deep Invertible Hybrid Models Yusuke Ohtsubo Tetsu Matsukawa Einoshin Suzuki BDL DRL 53 1 0 22 May 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 138 69 0 21 Apr 2021
Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning Representation Divyansh Jha Kai Yi Ivan Skorokhodov Mohamed Elhoseiny GAN 76 4 0 20 Apr 2021
Few-shot learning via tensor hallucination Michalis Lazarou Yannis Avrithis Tania Stathaki 53 4 0 19 Apr 2021
ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation Kai Li Chang Liu Handong Zhao Yulun Zhang Y. Fu 75 59 0 19 Apr 2021
Self-Training with Weak Supervision Giannis Karamanolakis Subhabrata Mukherjee Guoqing Zheng Ahmed Hassan Awadallah NoLa 65 86 0 12 Apr 2021
Streaming Self-Training via Domain-Agnostic Unlabeled Images Zhiqiu Lin Deva Ramanan Aayush Bansal LRM 75 5 0 07 Apr 2021
A Review on Semi-Supervised Relation Extraction Yusen Lin SSL 26 3 0 12 Mar 2021
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks Xinyang Zhang Chenwei Zhang Xin Luna Dong Jingbo Shang Jiawei Han 65 18 0 23 Feb 2021
Semi Supervised Learning For Few-shot Audio Classification By Episodic Triplet Mining Swapnil Bhosale Rupayan Chakraborty Sunil Kumar Kopparapu 39 4 0 16 Feb 2021
Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification Yan Xiao Yaochu Jin K. Hao 102 46 0 10 Jan 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
Fine-grained Angular Contrastive Learning with Coarse Labels Guy Bukchin Eli Schwartz Kate Saenko Ori Shahar Rogerio Feris Raja Giryes Leonid Karlinsky 108 54 0 07 Dec 2020
Few-shot Image Generation with Elastic Weight Consolidation Yijun Li Richard Y. Zhang Jingwan Lu Eli Shechtman 3DH 114 169 0 04 Dec 2020
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks Han-Jia Ye Lu Han De-Chuan Zhan OffRL SSL VLM 78 29 0 30 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 110 3 0 19 Nov 2020
FROST: Faster and more Robust One-shot Semi-supervised Training Helena E. Liu L. Smith BDL OffRL 84 1 0 18 Nov 2020
Neural Semi-supervised Learning for Text Classification Under Large-Scale Pretraining Zijun Sun Chun Fan Xiaofei Sun Yuxian Meng Leilei Gan Jiwei Li 56 9 0 17 Nov 2020
Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency Detection Shaolei Wang Zhongyuan Wang Wanxiang Che Ting Liu SSL 48 15 0 29 Oct 2020
Self-training for Few-shot Transfer Across Extreme Task Differences Cheng Perng Phoo B. Hariharan SSL 128 109 0 15 Oct 2020
Adaptive Aggregation Networks for Class-Incremental Learning Yaoyao Liu Bernt Schiele Qianru Sun CLL 109 222 0 10 Oct 2020
Adaptive Self-training for Few-shot Neural Sequence Labeling Yaqing Wang Subhabrata Mukherjee Haoda Chu Yuancheng Tu Ming Wu Jing Gao Ahmed Hassan Awadallah VLM 58 34 0 07 Oct 2020
Shot in the Dark: Few-Shot Learning with No Base-Class Labels Z. Chen Subhransu Maji Erik Learned-Miller SSL VLM 53 20 0 06 Oct 2020
Semi-Supervised Learning for In-Game Expert-Level Music-to-Dance Translation Yinglin Duan Tianyang Shi Zhengxia Zou Jia Qin Yifei Zhao Yi Yuan Jie Hou Xiang Wen Chang Lab 31 4 0 27 Sep 2020
A Survey on Machine Learning from Few Samples Jiang Lu Pinghua Gong Jieping Ye Jianwei Zhang Changshu Zhang 110 52 0 06 Sep 2020
Transductive Information Maximization For Few-Shot Learning Malik Boudiaf Imtiaz Masud Ziko Jérôme Rony José Dolz Pablo Piantanida Ismail Ben Ayed VLM 94 79 0 25 Aug 2020
Dataset Bias in Few-shot Image Recognition Shuqiang Jiang Yaohui Zhu Chenlong Liu Xinhang Song Xiangyang Li Weiqing Min 102 22 0 18 Aug 2020
A Self-supervised GAN for Unsupervised Few-shot Object Recognition Khoi Duc Minh Nguyen S. Todorovic SSL 68 5 0 16 Aug 2020
Meta-Learning with Context-Agnostic Initialisations Toby Perrett A. Masullo T. Burghardt Majid Mirmehdi Dima Damen CLL 47 2 0 29 Jul 2020
Explanation-Guided Training for Cross-Domain Few-Shot Classification Jiamei Sun Sebastian Lapuschkin Wojciech Samek Yunqing Zhao Ngai-Man Cheung Alexander Binder 76 90 0 17 Jul 2020