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Interpretable Time-series Classification on Few-shot Samples

3 June 2020

Papers citing "Interpretable Time-series Classification on Few-shot Samples"

21 / 21 papers shown

Title
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies Lucas Heublein Nisha Lakshmana Raichur Tobias Feigl Tobias Brieger Fin Heuer Lennart Asbach A. Rügamer Felix Ott 191 8 0 31 Mar 2025
Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification Nishant S. Gaikwad Lucas Heublein Nisha Lakshmana Raichur Tobias Feigl Christopher Mutschler Felix Ott 109 7 0 31 Dec 2024
Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning Cheng Liang Donghua Yang Zhiyu Liang Hongzhi Wang Zheng Liang Xiyang Zhang Jianfeng Huang AI4TS 437 2 0 09 Dec 2023
Learning to Propagate for Graph Meta-Learning Lu Liu Dinesh Manocha Guodong Long Jing Jiang Chengqi Zhang 89 97 0 11 Sep 2019
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph Lu Liu Dinesh Manocha Guodong Long Jing Jiang Lina Yao Chengqi Zhang 80 72 0 10 May 2019
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records Xi Sheryl Zhang Fengyi Tang H. H. Dodge Jiayu Zhou Fei Wang 52 110 0 08 May 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 114 1,767 0 08 Apr 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples Eleni Triantafillou Tyler Lixuan Zhu Vincent Dumoulin Pascal Lamblin Utku Evci ... Ross Goroshin Carles Gelada Kevin Swersky Pierre-Antoine Manzagol Hugo Larochelle 151 618 0 07 Mar 2019
Infinite Mixture Prototypes for Few-Shot Learning Kelsey R. Allen Evan Shelhamer Hanul Shin J. Tenenbaum 51 248 0 12 Feb 2019
Deep learning for time series classification: a review Hassan Ismail Fawaz Germain Forestier J. Weber L. Idoumghar Pierre-Alain Muller AI4TS AI4CE 325 2,701 0 12 Sep 2018
Meta-Learning for Low-Resource Neural Machine Translation Jiatao Gu Yong Wang Yun Chen Kyunghyun Cho Victor O.K. Li 77 343 0 25 Aug 2018
RepMet: Representative-based metric learning for classification and one-shot object detection Leonid Karlinsky J. Shtok Sivan Harary Eli Schwartz Mattias Marder Rogerio Feris Raja Giryes A. Bronstein VLM ObjD 121 319 0 12 Jun 2018
Distilling a Neural Network Into a Soft Decision Tree Nicholas Frosst Geoffrey E. Hinton 411 638 0 27 Nov 2017
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability Mike Wu M. C. Hughes S. Parbhoo Maurizio Zazzi Volker Roth Finale Doshi-Velez AI4CE 122 283 0 16 Nov 2017
Few-Shot Adversarial Domain Adaptation Saeid Motiian Q. Jones Seyed Mehdi Iranmanesh Gianfranco Doretto 68 412 0 05 Nov 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 291 2,266 0 24 Jun 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 303 8,145 0 15 Mar 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 213 2,899 0 14 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,937 0 09 Mar 2017
Fast and Accurate Time Series Classification with WEASEL Patrick Schäfer Ulf Leser 78 242 0 26 Jan 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015