When Does Self-supervision Improve Few-shot Learning?

8 October 2019

Papers citing "When Does Self-supervision Improve Few-shot Learning?"

45 / 95 papers shown

Title
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition Kai Wang Xialei Liu Andrew D. Bagdanov Luis Herranz Shang Rui Joost van de Weijer CLL VLM 36 9 0 09 Nov 2021
Self-Denoising Neural Networks for Few Shot Learning S. Schwarcz Sai Saketh Rambhatla Ramalingam Chellappa 20 1 0 26 Oct 2021
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-xiong Wang José M. F. Moura 35 28 0 20 Sep 2021
LibFewShot: A Comprehensive Library for Few-shot Learning Wenbin Li Ziyi Ziyi Wang Xuesong Yang C. Dong ... Jing Huo Yinghuan Shi Lei Wang Yang Gao Jiebo Luo VLM 113 66 0 10 Sep 2021
Learning Class-level Prototypes for Few-shot Learning Minglei Yuan Wenhai Wang Tao Wang Chunhao Cai Qian Xu Tong Lu VLM 17 3 0 25 Aug 2021
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer Zhihe Lu Sen He Xiatian Zhu Li Zhang Yi-Zhe Song Tao Xiang ViT 171 173 0 06 Aug 2021
Few-Shot Electronic Health Record Coding through Graph Contrastive Learning Shanshan Wang Pengjie Ren Zhumin Chen Z. Ren Huasheng Liang Qiang Yan Evangelos Kanoulas Maarten de Rijke 16 5 0 29 Jun 2021
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification Dong Lee Sae-Young Chung 29 20 0 22 Jun 2021
Rich Semantics Improve Few-shot Learning Mohamed Afham Salman Khan Muhammad Haris Khan Muzammal Naseer Fahad Shahbaz Khan VLM 26 24 0 26 Apr 2021
RPCL: A Framework for Improving Cross-Domain Detection with Auxiliary Tasks Kai Li Curtis Wigington Chris Tensmeyer Vlad I. Morariu Handong Zhao Varun Manjunatha Nikolaos Barmpalios Y. Fu 22 0 0 18 Apr 2021
Pareto Self-Supervised Training for Few-Shot Learning Zhengyu Chen Jixie Ge Heshen Zhan Siteng Huang Donglin Wang 16 115 0 16 Apr 2021
Constructing Contrastive samples via Summarization for Text Classification with limited annotations Yangkai Du Tengfei Ma Lingfei Wu Fangli Xu Xuhong Zhang Bo Long S. Ji 13 10 0 11 Apr 2021
Reinforced Attention for Few-Shot Learning and Beyond Jie Hong Pengfei Fang Weihao Li Tong Zhang Christian Simon Mehrtash Harandi L. Petersson 12 48 0 09 Apr 2021
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification Jong-Chyi Su Zezhou Cheng Subhransu Maji 23 57 0 01 Apr 2021
Benchmarking Representation Learning for Natural World Image Collections Grant Van Horn Elijah Cole Sara Beery Kimberly Wilber Serge J. Belongie Oisin Mac Aodha SSL VLM 26 165 0 30 Mar 2021
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption Alexander Bartler Andreas Bühler Felix Wiewel Mario Döbler Binh Yang TTA OOD 21 77 0 30 Mar 2021
Revisiting Local Descriptor for Improved Few-Shot Classification J. He Richang Hong Xueliang Liu Mingliang Xu Qianru Sun 24 24 0 30 Mar 2021
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types Thomas Mensink J. Uijlings Alina Kuznetsova Michael Gygli V. Ferrari VLM 43 80 0 24 Mar 2021
Multi-Pretext Attention Network for Few-shot Learning with Self-supervision Hainan Li Renshuai Tao Jun Li Haotong Qin Yifu Ding Shuo Wang Xianglong Liu SSL 27 8 0 10 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Mamshad Nayeem Rizve Salman Khan Fahad Shahbaz Khan M. Shah 41 108 0 01 Mar 2021
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning Ren Wang Kaidi Xu Sijia Liu Pin-Yu Chen Tsui-Wei Weng Chuang Gan Meng Wang AAML 21 47 0 20 Feb 2021
CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models Yusheng Su Xu Han Yankai Lin Zhengyan Zhang Zhiyuan Liu Peng Li Jie Zhou Maosong Sun 11 10 0 07 Feb 2021
Supervised Momentum Contrastive Learning for Few-Shot Classification Orchid Majumder Avinash Ravichandran Subhransu Maji Alessandro Achille M. Polito Stefano Soatto SSL 21 12 0 26 Jan 2021
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks N. Simard Guillaume Lagrange SSL 18 5 0 24 Jan 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning Yizhao Gao Nanyi Fei Guangzhen Liu Zhiwu Lu Tao Xiang Songfang Huang 61 35 0 23 Jan 2021
Spatial Contrastive Learning for Few-Shot Classification Yassine Ouali C´eline Hudelot Myriam Tami 19 49 0 26 Dec 2020
Fine-grained Angular Contrastive Learning with Coarse Labels Guy Bukchin Eli Schwartz Kate Saenko Ori Shahar Rogerio Feris Raja Giryes Leonid Karlinsky 41 52 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 27 27 0 30 Nov 2020
Mixture-based Feature Space Learning for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 18 70 0 24 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 17 2 0 19 Nov 2020
Self-training for Few-shot Transfer Across Extreme Task Differences Cheng Perng Phoo B. Hariharan SSL 27 106 0 15 Oct 2020
Shot in the Dark: Few-Shot Learning with No Base-Class Labels Z. Chen Subhransu Maji Erik Learned-Miller SSL VLM 21 20 0 06 Oct 2020
Don't miss the Mismatch: Investigating the Objective Function Mismatch for Unsupervised Representation Learning Bonifaz Stuhr Jürgen Brauer 29 1 0 04 Sep 2020
Learning from Few Samples: A Survey Nihar Bendre Hugo Terashima-Marín Peyman Najafirad VLM BDL 26 54 0 30 Jul 2020
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 215 330 0 22 Jul 2020
Self-Supervised Prototypical Transfer Learning for Few-Shot Classification Carlos Medina A. Devos Matthias Grossglauser SSL 26 50 0 19 Jun 2020
Extending and Analyzing Self-Supervised Learning Across Domains Bram Wallace B. Hariharan SSL 11 41 0 24 Apr 2020
Self-Supervised Feature Extraction for 3D Axon Segmentation Tzofi Klinghoffer Peter Morales Young-Gyun Park Nicholas Evans Kwanghun Chung L. Brattain 3DPC 29 15 0 20 Apr 2020
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions Matheus Gadelha Aruni RoyChowdhury Gopal Sharma E. Kalogerakis Liangliang Cao Erik Learned-Miller Rui Wang Subhransu Maji 3DPC 26 45 0 30 Mar 2020
Improving out-of-distribution generalization via multi-task self-supervised pretraining Isabela Albuquerque Nikhil Naik Junnan Li N. Keskar R. Socher SSL OOD 35 40 0 30 Mar 2020
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning Chi Zhang Yujun Cai Guosheng Lin Chunhua Shen VLM 26 110 0 15 Mar 2020
Learning Representations by Predicting Bags of Visual Words Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 28 117 0 27 Feb 2020
To Balance or Not to Balance: A Simple-yet-Effective Approach for Learning with Long-Tailed Distributions Junjie Zhang Lingqiao Liu Peng Wang Chunhua Shen 15 25 0 10 Dec 2019
Self-Supervised Feature Learning by Learning to Spot Artifacts Simon Jenni Paolo Favaro SSL 150 127 0 13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 365 11,700 0 09 Mar 2017