Dynamic Sparse Network for Time Series Classification: Learning What to "see''

19 December 2022

Qiao Xiao

Papers citing "Dynamic Sparse Network for Time Series Classification: Learning What to "see''"

20 / 20 papers shown

Title
Empirical risk minimization algorithm for multiclass classification of S.D.E. paths Christophe Denis Eddy Ella Mintsa 56 0 0 18 Mar 2025
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation Boqian Wu Q. Xiao Shiwei Liu Lu Yin Mykola Pechenizkiy D. Mocanu M. V. Keulen Elena Mocanu MedIm 53 4 0 20 Feb 2025
Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness Boqian Wu Q. Xiao Shunxin Wang N. Strisciuglio Mykola Pechenizkiy M. V. Keulen D. Mocanu Elena Mocanu OOD 3DH 42 0 0 03 Oct 2024
Are Sparse Neural Networks Better Hard Sample Learners? Q. Xiao Boqian Wu Lu Yin Christopher Neil Gadzinski Tianjin Huang Mykola Pechenizkiy D. Mocanu 23 1 0 13 Sep 2024
DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting Ruixin Ding Yuqi Chen Yu-Ting Lan Wei Zhang AI4TS 25 2 0 05 Aug 2024
Omni-Dimensional Frequency Learner for General Time Series Analysis Xianing Chen.Hanting Chen Hanting Chen Hailin Hu AI4TS 16 0 0 15 Jul 2024
Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings Jihyeon Seong Jungmin Kim Jaesik Choi AI4TS 32 0 0 14 Mar 2024
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis Mingyue Cheng Jiqian Yang Tingyue Pan Qi Liu Zhi Li AI4TS 22 12 0 03 Mar 2024
UNITS: A Unified Multi-Task Time Series Model Shanghua Gao Teddy Koker Owen Queen Thomas Hartvigsen Theodoros Tsiligkaridis Marinka Zitnik AI4TS 34 15 0 29 Feb 2024
Deep Continuous Networks Nergis Tomen S. Pintea J. C. V. Gemert 82 14 0 02 Feb 2024
The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel Size might be All You Need Tianjin Huang Tianlong Chen Zhangyang Wang Shiwei Liu 17 1 0 09 Dec 2023
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 45 1 0 09 Dec 2023
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization Wang Lu Jindong Wang Xinwei Sun Yiqiang Chen Xiangyang Ji Qiang Yang Xingxu Xie OODD AI4TS 20 15 0 04 Aug 2023
Are Large Kernels Better Teachers than Transformers for ConvNets? Tianjin Huang Lu Yin Zhenyu (Allen) Zhang Lijuan Shen Meng Fang Mykola Pechenizkiy Zhangyang Wang Shiwei Liu 19 13 0 30 May 2023
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers Zahra Atashgahi Mykola Pechenizkiy Raymond N. J. Veldhuis D. Mocanu AI4TS AI4CE 13 1 0 28 May 2023
Powerpropagation: A sparsity inducing weight reparameterisation Jonathan Richard Schwarz Siddhant M. Jayakumar Razvan Pascanu P. Latham Yee Whye Teh 84 54 0 01 Oct 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 128 679 0 31 Jan 2021
The Lottery Ticket Hypothesis for Object Recognition Sharath Girish Shishira R. Maiya Kamal Gupta Hao Chen L. Davis Abhinav Shrivastava 73 60 0 08 Dec 2020
InceptionTime: Finding AlexNet for Time Series Classification Hassan Ismail Fawaz Benjamin Lucas Germain Forestier Charlotte Pelletier Daniel F. Schmidt J. Weber Geoffrey I. Webb L. Idoumghar Pierre-Alain Muller Franccois Petitjean AI4TS 85 1,058 0 11 Sep 2019
Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition Shizhong Han Zibo Meng Zhiyuan Li James O'Reilly Jie Cai Xiaofeng Wang Yan Tong CVBM 80 63 0 26 Jul 2017