A Survey of Few-Shot Learning for Biomedical Time Series

3 May 2024

Papers citing "A Survey of Few-Shot Learning for Biomedical Time Series"

24 / 24 papers shown

Title
Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus Yun Yvonna Li Zhe Liu Lina Yao Molly V. Lucas Jessica J.M.Monaghan Yu Zhang 30 7 0 03 May 2022
Few-Shot Forecasting of Time-Series with Heterogeneous Channels L. Brinkmeyer Rafael Rêgo Drumond Johannes Burchert Lars Schmidt-Thieme AI4TS 54 7 0 07 Apr 2022
Similarity Learning based Few Shot Learning for ECG Time Series Classification Priyanka Gupta Sathvik Bhaskarpandit Manik Gupta 24 14 0 31 Jan 2022
Explainable Deep Few-shot Anomaly Detection with Deviation Networks Guansong Pang Choubo Ding Chunhua Shen Anton Van Den Hengel 62 87 0 01 Aug 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 319 4,873 0 24 Feb 2021
Few-Shot Classification with Feature Map Reconstruction Networks Davis Wertheimer Luming Tang B. Hariharan 61 235 0 02 Dec 2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations Alexei Baevski Henry Zhou Abdel-rahman Mohamed Michael Auli SSL 162 5,677 0 20 Jun 2020
Improved Techniques for Training Single-Image GANs Tobias Hinz Matthew Fisher Oliver Wang S. Wermter GAN VLM 26 144 0 25 Mar 2020
SpanBERT: Improving Pre-training by Representing and Predicting Spans Mandar Joshi Danqi Chen Yinhan Liu Daniel S. Weld Luke Zettlemoyer Omer Levy 113 1,953 0 24 Jul 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 87 17,950 0 28 May 2019
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task Supervision at Test-Time Gabriel Huang Hugo Larochelle Simon Lacoste-Julien SSL OOD 75 21 0 22 Feb 2019
The UCR Time Series Archive Hoang Anh Dau A. Bagnall Kaveh Kamgar Chin-Chia Michael Yeh Yan Zhu Shaghayegh Gharghabi C. Ratanamahatana Eamonn Keogh 33 819 0 17 Oct 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 754 11,793 0 09 Mar 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 74 2,102 0 17 Jan 2017
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces Vernon J. Lawhern Amelia J. Solon Nicholas R. Waytowich Stephen M. Gordon C. Hung Brent Lance OOD 76 2,844 0 23 Nov 2016
Deep Learning Human Mind for Automated Visual Classification C. Spampinato S. Palazzo I. Kavasidis Daniela Giordano M. Shah Nasim Souly 60 225 0 01 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 624 36,599 0 25 Aug 2016
Fully-Convolutional Siamese Networks for Object Tracking Luca Bertinetto Jack Valmadre João F. Henriques Andrea Vedaldi Philip Torr VOT 66 3,863 0 30 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 288 7,286 0 13 Jun 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 229 17,328 0 17 Feb 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 473 27,231 0 02 Dec 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 168 18,534 0 06 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 920 99,991 0 04 Sep 2014
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 540 31,406 0 16 Jan 2013