Generalizing from a Few Examples: A Survey on Few-Shot Learning

10 April 2019

Papers citing "Generalizing from a Few Examples: A Survey on Few-Shot Learning"

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Title
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning Archit Parnami Minwoo Lee MQ 25 156 0 07 Mar 2022
Trajectory Test-Train Overlap in Next-Location Prediction Datasets Massimiliano Luca Luca Pappalardo Bruno Lepri Gianni Barlacchi 22 5 0 07 Mar 2022
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review Kyle Hamilton Aparna Nayak Bojan Bozic Luca Longo NAI 29 57 0 24 Feb 2022
Generating Synthetic Mobility Networks with Generative Adversarial Networks G. Mauro Massimiliano Luca Antonio Longa Bruno Lepri Luca Pappalardo GAN 18 23 0 22 Feb 2022
Positive-Unlabeled Domain Adaptation Jonas Sonntag Gunnar Behrens Lars Schmidt-Thieme 8 2 0 11 Feb 2022
Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks Lang Liu M. M. Fard Sen Zhao OOD 23 3 0 04 Feb 2022
Cold Start Active Learning Strategies in the Context of Imbalanced Classification Etienne Brangbour P. Bruneau T. Tamisier Stéphane Marchand-Maillet AI4CE 11 2 0 25 Jan 2022
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution Fabian Altekrüger J. Hertrich 25 15 0 20 Jan 2022
A Unified Review of Deep Learning for Automated Medical Coding Shaoxiong Ji Wei Sun Xiaobo Li Hang Dong Ara Taalas Yijia Zhang Honghan Wu Esa Pitkänen Pekka Marttinen AI4TS MedIm 21 27 0 08 Jan 2022
A Unified Framework for Attention-Based Few-Shot Object Detection Pierre Le Jeune Anissa Zergaïnoh-Mokraoui ObjD 24 2 0 06 Jan 2022
TRNR: Task-Driven Image Rain and Noise Removal with a Few Images Based on Patch Analysis Wu Ran Bohong Yang Peirong Ma Hong-wei Lu 15 9 0 03 Dec 2021
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning Fengyuan Yang Ruiping Wang Xilin Chen VLM 34 35 0 08 Nov 2021
Dual Encoding U-Net for Spatio-Temporal Domain Shift Frame Prediction Jay Santokhi Dylan Hillier Yiming Yang Joned Sarwar A. Jordán Emil Hewage AI4CE 24 1 0 21 Oct 2021
A MIMO Radar-based Few-Shot Learning Approach for Human-ID Pascal Weller Fady Aziz Sherif Abdulatif U. Schneider Marco F. Huber 21 7 0 16 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 32 10 0 14 Oct 2021
Machine Learning Featurizations for AI Hacking of Political Systems Nathan Sanders B. Schneier 18 2 0 08 Oct 2021
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability Martin Mundt Steven Braun Quentin Delfosse Kristian Kersting 21 35 0 07 Oct 2021
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 355 0 04 Oct 2021
OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis Sumit Shekhar Bhanu Prakash Reddy Guda Ashutosh Chaubey Ishan Jindal Avanish Jain 30 0 0 01 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 37 22 0 20 Sep 2021
Few-Shot Batch Incremental Road Object Detection via Detector Fusion Anuj Tambwekar Kshitij Agrawal Anay Majee A. Subramanian ObjD 13 5 0 18 Aug 2021
How to Query Language Models? Leonard Adolphs S. Dhuliawala Thomas Hofmann KELM 16 15 0 04 Aug 2021
Applications of Artificial Neural Networks in Microorganism Image Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to Popular Convolutional Neural Network and Potential Visual Transformer Jinghua Zhang Chen Li Yi Yin Jiawei Zhang M. Grzegorzek 24 139 0 01 Aug 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu Weizhe Yuan Jinlan Fu Zhengbao Jiang Hiroaki Hayashi Graham Neubig VLM SyDa 31 3,828 0 28 Jul 2021
A Survey on Data-driven Software Vulnerability Assessment and Prioritization T. H. Le Huaming Chen Muhammad Ali Babar 19 78 0 18 Jul 2021
Few-shot Learning with Global Relatedness Decoupled-Distillation Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Zhen junzha Meng Wang 19 1 0 12 Jul 2021
Cross-domain Few-shot Learning with Task-specific Adapters Weihong Li Xialei Liu Hakan Bilen OOD 25 113 0 01 Jul 2021
A Systematic Collection of Medical Image Datasets for Deep Learning Johann Li Guangming Zhu Cong Hua Mingtao Feng Basheer Bennamoun ... Xu Xu Lin Mei Liang Zhang Syed Afaq Ali Shah Bennamoun OOD 38 49 0 24 Jun 2021
Do sound event representations generalize to other audio tasks? A case study in audio transfer learning Anurag Kumar Yun Wang V. Ithapu Christian Fuegen 14 3 0 21 Jun 2021
A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams Heitor Murilo Gomes Maciej Grzenda R. Mello Jesse Read Minh-Huong Le Nguyen Albert Bifet 30 44 0 16 Jun 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP Jiaao Chen Derek Tam Colin Raffel Mohit Bansal Diyi Yang 26 172 0 14 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 42 24 0 11 Jun 2021
Artificial Intelligence in Drug Discovery: Applications and Techniques Jianyuan Deng Zhibo Yang Iwao Ojima Dimitris Samaras Fusheng Wang AI4TS 21 99 0 09 Jun 2021
COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach Jianxing Zhang Pengcheng Xi Ashkan Ebadi Hilda Azimi Stéphane Tremblay Alexander Wong 15 4 0 04 May 2021
Bridging observation, theory and numerical simulation of the ocean using Machine Learning Maike Sonnewald Redouane Lguensat Daniel C. Jones P. Dueben J. Brajard Venkatramani Balaji AI4Cl AI4CE 43 100 0 26 Apr 2021
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark Vincent Dumoulin N. Houlsby Utku Evci Xiaohua Zhai Ross Goroshin Sylvain Gelly Hugo Larochelle 24 26 0 06 Apr 2021
Few-shot Conformal Prediction with Auxiliary Tasks Adam Fisch Tal Schuster Tommi Jaakkola Regina Barzilay 181 53 0 17 Feb 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang Debin Meng H. Gouk Timothy M. Hospedales BDL UQCV 25 67 0 08 Jan 2021
Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels Yinghui Li Ruiyang Liu Zihao Zhang Ning Ding Ying Shen Li Tao Haitao Zheng 16 0 0 17 Nov 2020
Semi-Supervised Few-Shot Atomic Action Recognition Xiaoyuan Ni Sizhe Song Yu-Wing Tai Chi-Keung Tang 19 3 0 17 Nov 2020
AI Progress in Skin Lesion Analysis Philippe Burlina William Paul P. Mathew Neil J. Joshi Alison W. Rebman J. Aucott 15 0 0 28 Sep 2020
Variational Disentanglement for Rare Event Modeling Zidi Xiu Chenyang Tao M. Gao Connor Davis B. Goldstein Ricardo Henao CML DRL 24 6 0 17 Sep 2020
Learning from Few Samples: A Survey Nihar Bendre Hugo Terashima-Marín Peyman Najafirad VLM BDL 24 54 0 30 Jul 2020
Learning Disentangled Representations with Latent Variation Predictability Xinqi Zhu Chang Xu Dacheng Tao CoGe DRL 11 26 0 25 Jul 2020
Submodular Meta-Learning Arman Adibi Aryan Mokhtari Hamed Hassani CLL 16 5 0 11 Jul 2020
Vehicle Attribute Recognition by Appearance: Computer Vision Methods for Vehicle Type, Make and Model Classification Xingyang Ni H. Huttunen CVBM 11 20 0 29 Jun 2020
Distributionally Robust Weighted $k$ -Nearest Neighbors Shixiang Zhu Liyan Xie Minghe Zhang Rui Gao Yao Xie OOD 21 7 0 07 Jun 2020
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities Shuhan Yuan Xintao Wu AAML 20 156 0 25 May 2020
Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors B. Haney Alexander Lavin 6 4 0 23 May 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 38 1,927 0 11 Apr 2020