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Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation

26 February 2019

Antreas Antoniou

Amos Storkey

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Papers citing "Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation"

45 / 45 papers shown

Title
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks Wei Cui Tongzi Wu Jesse C. Cresswell Yi Sui Keyvan Golestan 115 0 0 12 Mar 2025
MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning Zhenyu Zhang Guangyao Chen Yixiong Zou Zhimeng Huang Yuhua Li Ruixuan Li VLM 62 2 0 23 Aug 2024
BECLR: Batch Enhanced Contrastive Few-Shot Learning Stylianos Poulakakis-Daktylidis Hadi Jamali Rad 91 5 0 04 Feb 2024
GeNIe: Generative Hard Negative Images Through Diffusion Soroush Abbasi Koohpayegani Anuj Singh K. Navaneet Hadi Jamali Rad Hamed Pirsiavash VLM DiffM 129 4 0 05 Dec 2023
Vicinal Risk Minimization for Few-Shot Cross-lingual Transfer in Abusive Language Detection Gretel Liz De la Pena Sarracén Paolo Rosso Robert Litschko Goran Glavaš Simone Paolo Ponzetto 52 1 0 03 Nov 2023
Unsupervised Episode Generation for Graph Meta-learning Jihyeong Jung Sang-gyu Seo Sungwon Kim Chanyoung Park BDL 82 0 0 27 Jun 2023
Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment Runqi Wang Hao Zheng Xiaoyue Duan Jianzhuang Liu Yuning Lu Tian Wang Songcen Xu Baochang Zhang VLM 64 12 0 19 May 2023
Context-enriched molecule representations improve few-shot drug discovery Johannes Schimunek Philipp Seidl Lukas Friedrich Daniel Kuhn F. Rippmann Sepp Hochreiter Günter Klambauer 89 28 0 24 Apr 2023
HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot Action Recognition Xiang Wang Shiwei Zhang Zhiwu Qing Zhe Zuo Changxin Gao Rong Jin Nong Sang 103 26 0 09 Jan 2023
Neural Routing in Meta Learning Jicang Cai Saeed Vahidian Weijia Wang M. Joneidi Bill Lin 56 0 0 14 Oct 2022
Self-Attention Message Passing for Contrastive Few-Shot Learning Ojas Kishorkumar Shirekar Ashutosh Kumar Singh Hadi Jamali Rad 82 6 0 12 Oct 2022
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning Xingping Dong Jianbing Shen Ling Shao 64 9 0 27 Sep 2022
Image augmentation improves few-shot classification performance in plant disease recognition Frank Xiao 26 0 0 25 Aug 2022
Self-Supervision Can Be a Good Few-Shot Learner Yuning Lu Liangjiang Wen Jianzhuang Liu Yajing Liu Xinmei Tian SSL 96 37 0 19 Jul 2022
GDC- Generalized Distribution Calibration for Few-Shot Learning Shakti Kumar Hussain Zaidi 77 8 0 11 Apr 2022
Self-Supervised Class-Cognizant Few-Shot Classification Ojas Kishore Shirekar Hadi Jamali Rad SSL 87 4 0 15 Feb 2022
Online Unsupervised Learning of Visual Representations and Categories Mengye Ren Tyler R. Scott Michael L. Iuzzolino Michael C. Mozer R. Zemel OCL SSL 76 5 0 13 Sep 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback Mike Wu Noah D. Goodman Chris Piech Chelsea Finn 82 19 0 23 Jul 2021
Trainable Class Prototypes for Few-Shot Learning Jianyi Li Guizhong Liu VLM 41 2 0 21 Jun 2021
SPeCiaL: Self-Supervised Pretraining for Continual Learning Lucas Caccia Joelle Pineau CLL SSL 76 19 0 16 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 98 25 0 11 Jun 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning Yizhao Gao Nanyi Fei Guangzhen Liu Zhiwu Lu Tao Xiang Songfang Huang 104 37 0 23 Jan 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 306 331 0 16 Jan 2021
Few-Shot Learning with Class Imbalance Mateusz Ochal Massimiliano Patacchiola Amos Storkey Jose Vazquez Sen Wang 109 37 0 07 Jan 2021
Few Shot Learning With No Labels Aditya Bharti V. Balasubramanian C. V. Jawahar VLM 36 3 0 26 Dec 2020
Are Fewer Labels Possible for Few-shot Learning? Suichan Li Dongdong Chen Yinpeng Chen Lu Yuan Lefei Zhang Qi Chu Nenghai Yu SSL 63 3 0 10 Dec 2020
Fine-grained Angular Contrastive Learning with Coarse Labels Guy Bukchin Eli Schwartz Kate Saenko Ori Shahar Rogerio Feris Raja Giryes Leonid Karlinsky 105 54 0 07 Dec 2020
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks Han-Jia Ye Lu Han De-Chuan Zhan OffRL SSL VLM 76 29 0 30 Nov 2020
Data Augmentation for Meta-Learning Renkun Ni Micah Goldblum Amr Sharaf Kezhi Kong Tom Goldstein 93 77 0 14 Oct 2020
A Survey on Machine Learning from Few Samples Jiang Lu Pinghua Gong Jieping Ye Jianwei Zhang Changshu Zhang 95 52 0 06 Sep 2020
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings Alexander Wang Mengye Ren R. Zemel SSL 46 22 0 27 Aug 2020
Few-Shot Image Classification via Contrastive Self-Supervised Learning Jianyi Li Guizhong Liu VLM SSL MQ 46 13 0 23 Aug 2020
A Self-supervised GAN for Unsupervised Few-shot Object Recognition Khoi Duc Minh Nguyen S. Todorovic SSL 41 5 0 16 Aug 2020
Few shot clustering for indoor occupancy detection with extremely low-quality images from battery free cameras Homagni Saha Sin Yong Tan Ali Saffari Mohamad Katanbaf Joshua R. Smith Soumik Sarkar 32 3 0 13 Aug 2020
Meta-Learning Requires Meta-Augmentation Janarthanan Rajendran A. Irpan Eric Jang 79 96 0 10 Jul 2020
Self-Supervised Prototypical Transfer Learning for Few-Shot Classification Carlos Medina A. Devos Matthias Grossglauser SSL 80 51 0 19 Jun 2020
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models Siavash Khodadadeh Sharare Zehtabian Saeed Vahidian Weijia Wang Bill Lin Ladislau Bölöni 51 36 0 18 Jun 2020
Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised Performance L. Smith A. Conovaloff SSL 72 8 0 16 Jun 2020
Diversity Helps: Unsupervised Few-shot Learning via Distribution Shift-based Data Augmentation Tiexin Qin Wenbin Li Yinghuan Shi Yang Gao 59 16 0 13 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 412 1,996 0 11 Apr 2020
Empirical Perspectives on One-Shot Semi-supervised Learning L. Smith A. Conovaloff 31 1 0 08 Apr 2020
Unsupervised Few-shot Learning via Self-supervised Training Zilong Ji Xiaolong Zou Tiejun Huang Si Wu SSL 63 24 0 20 Dec 2019
Unsupervised Curricula for Visual Meta-Reinforcement Learning Allan Jabri Kyle Hsu Benjamin Eysenbach Abhishek Gupta Sergey Levine Chelsea Finn VLM OOD SSL OffRL 68 65 0 09 Dec 2019
Unsupervised Meta-Learning For Few-Shot Image Classification Siavash Khodadadeh Ladislau Bölöni M. Shah SSL VLM 64 140 0 28 Nov 2018
Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 122 107 0 12 Jun 2018