Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences

29 October 2016

Papers citing "Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences"

50 / 58 papers shown

Title
Multi-Stage Boundary-Aware Transformer Network for Action Segmentation in Untrimmed Surgical Videos Rezowan Shuvo M S Mekala Eyad Elyan MedIm 175 0 0 26 Apr 2025
Temporal-Guided Spiking Neural Networks for Event-Based Human Action Recognition Siyuan Yang Shilin Lu Shizheng Wang Meng Hwa Er Zengwei Zheng Alex C. Kot 42 0 0 21 Mar 2025
Artificial Kuramoto Oscillatory Neurons Takeru Miyato Sindy Löwe Andreas Geiger Max Welling AI4CE 77 6 0 17 Oct 2024
Fredformer: Frequency Debiased Transformer for Time Series Forecasting Xihao Piao Zheng Chen Taichi Murayama Yasuko Matsubara Yasushi Sakurai AI4TS 50 18 0 13 Jun 2024
REPLAY: Modeling Time-Varying Temporal Regularities of Human Mobility for Location Prediction over Sparse Trajectories Bangchao Deng Bingqing Qu Pengyang Wang Dingqi Yang Benjamin Fankhauser Philippe Cudre-Mauroux AI4TS 36 1 0 26 Feb 2024
Positional Encoding Helps Recurrent Neural Networks Handle a Large Vocabulary Takashi Morita 21 3 0 31 Jan 2024
Time-Parameterized Convolutional Neural Networks for Irregularly Sampled Time Series Chrysoula Kosma Giannis Nikolentzos Michalis Vazirgiannis AI4TS 27 5 0 06 Aug 2023
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity Yijun Li Cheuk Hang Leung Qi Wu AI4TS 26 1 0 15 Jun 2023
Learning Optical Flow from Event Camera with Rendered Dataset Xinglong Luo Kunming Luo Ao Luo Zhengning Wang Ping Tan Shuaicheng Liu 27 17 0 20 Mar 2023
Continuous Depth Recurrent Neural Differential Equations Srinivas Anumasa Geetakrishnasai Gunapati P. K. Srijith AI4TS 26 0 0 28 Dec 2022
HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities Shristi Das Biswas Adarsh Kosta C. Liyanagedera M. Apolinario Kaushik Roy 29 18 0 19 Nov 2022
Learning Robust Dynamics through Variational Sparse Gating A. Jain Shivakanth Sujit S. Joshi Vincent Michalski Danijar Hafner Samira Ebrahimi Kahou 27 8 0 21 Oct 2022
Irregularly-Sampled Time Series Modeling with Spline Networks Marin Bilos Emanuel Ramneantu Stephan Günnemann AI4TS 26 1 0 19 Oct 2022
Liquid Structural State-Space Models Ramin Hasani Mathias Lechner Tsun-Hsuan Wang Makram Chahine Alexander Amini Daniela Rus AI4TS 107 96 0 26 Sep 2022
EDeNN: Event Decay Neural Networks for low latency vision Celyn Walters Simon Hadfield 25 1 0 09 Sep 2022
Features Fusion Framework for Multimodal Irregular Time-series Events Peiwang Tang Xianchao Zhang AI4TS 26 2 0 05 Sep 2022
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series Vijaya Krishna Yalavarthi Johannes Burchert Lars Schmidt-Thieme BDL AI4TS 28 4 0 24 Aug 2022
Task-Synchronized Recurrent Neural Networks Mantas Lukovsevivcius Arnas Uselis AI4TS 30 2 0 11 Apr 2022
EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation Lin Wang Yujeong Chae Sung-Hoon Yoon Tae-Kyun Kim Kuk-Jin Yoon 42 64 0 24 Nov 2021
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains Christian Gumbsch Martin Volker Butz Georg Martius AI4CE 26 21 0 29 Oct 2021
Neural Flows: Efficient Alternative to Neural ODEs Marin Bilovs Johanna Sommer Syama Sundar Rangapuram Tim Januschowski Stephan Günnemann AI4TS 33 70 0 25 Oct 2021
Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation Lin Wang Yujeong Chae Kuk-Jin Yoon 27 32 0 04 Sep 2021
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review Irene Z Li Jessica Pan Jeremy Goldwasser Neha Verma Wai Pan Wong ... Matthew Zhang David Chang R. Taylor H. Krumholz Dragomir R. Radev BDL 21 154 0 07 Jul 2021
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning Haowen Fang Brady Taylor Ziru Li Zaidao Mei Hai Helen Li Qinru Qiu 38 10 0 21 Apr 2021
Time-Ordered Recent Event (TORE) Volumes for Event Cameras R. W. Baldwin Ruixu Liu Mohammed Almatrafi V. Asari Keigo Hirakawa AI4TS 25 108 0 10 Mar 2021
Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction Daniel Gehrig Michelle Rüegg Mathias Gehrig Javier Hidalgo-Carrió Davide Scaramuzza 41 119 0 18 Feb 2021
Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task Xiaohan Zhang Lu Liu Guodong Long Jing Jiang Shenquan Liu 43 18 0 24 Jan 2021
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen T. Masquelier Tiejun Huang Yonghong Tian 70 506 0 11 Jul 2020
Incremental Training of a Recurrent Neural Network Exploiting a Multi-Scale Dynamic Memory Antonio Carta A. Sperduti D. Bacciu CLL 26 10 0 29 Jun 2020
Generating Realistic Stock Market Order Streams Junyi Li Xintong Wang Yaoyang Lin Arunesh Sinha Michael P. Wellman GAN AIFin 29 81 0 07 Jun 2020
Neural Ordinary Differential Equation based Recurrent Neural Network Model M. Habiba Barak A. Pearlmutter AI4TS 27 24 0 20 May 2020
Difference Attention Based Error Correction LSTM Model for Time Series Prediction Yuxuan Liu Jiangyong Duan Juan Meng AI4TS 15 7 0 30 Mar 2020
Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations Ioana Bica Ahmed Alaa James Jordon M. Schaar BDL CML 11 179 0 10 Feb 2020
A Differentiable Recurrent Surface for Asynchronous Event-Based Data Marco Cannici Marco Ciccone Andrea Romanoni Matteo Matteucci 4 27 0 10 Jan 2020
Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes Zhaozhi Qian Ahmed Alaa Alexis Bellot J. Rashbass M. Schaar DiffM MedIm 23 17 0 08 Jan 2020
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting Bryan Lim Sercan Ö. Arik Nicolas Loeff Tomas Pfister AI4TS 66 1,410 0 19 Dec 2019
Video to Events: Recycling Video Datasets for Event Cameras Daniel Gehrig Mathias Gehrig Javier Hidalgo-Carrió Davide Scaramuzza 31 209 0 06 Dec 2019
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling Ruizhe Zhao Brian K. Vogel Tanvir Ahmed Wayne Luk 25 37 0 14 Nov 2019
Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision Sensing Yin Bi Aaron Chadha Alhabib Abbas Eirina Bourtsoulatze Y. Andreopoulos 25 26 0 08 Oct 2019
Set Functions for Time Series Max Horn Michael Moor Christian Bock Bastian Alexander Rieck Karsten M. Borgwardt AI4TS 32 145 0 26 Sep 2019
Predicting Confusion from Eye-Tracking Data with Recurrent Neural Networks Shane D. V. Sims Vanessa Putnam Cristina Conati 11 4 0 19 Jun 2019
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data Tian Guo Tao R. Lin Nino Antulov-Fantulin AI4TS 26 154 0 28 May 2019
Speed Invariant Time Surface for Learning to Detect Corner Points with Event-Based Cameras Jacques Manderscheid A. Sironi Nicolas Bourdis D. Migliore Vincent Lepetit 16 95 0 27 Mar 2019
Learning to Adaptively Scale Recurrent Neural Networks Hao Hu Liqiang Wang Guo-Jun Qi AI4CE 17 9 0 15 Feb 2019
EventNet: Asynchronous Recursive Event Processing Yusuke Sekikawa K. Hara Hideo Saito 56 98 0 07 Dec 2018
Direct Training for Spiking Neural Networks: Faster, Larger, Better Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 32 639 0 16 Sep 2018
Scheduling Computation Graphs of Deep Learning Models on Manycore CPUs Linpeng Tang Yida Wang Theodore L. Willke Kai Li GNN 21 22 0 16 Jul 2018
Multi-variable LSTM neural network for autoregressive exogenous model Tian Guo Tao R. Lin BDL AI4TS 43 19 0 17 Jun 2018
The streaming rollout of deep networks - towards fully model-parallel execution Volker Fischer Jan M. Köhler Thomas Pfeil 24 16 0 13 Jun 2018
Discovering Signals from Web Sources to Predict Cyber Attacks Palash Goyal K. T. Hossain A. Deb N. Tavabi Nathan Bartley A. Abeliuk Emilio Ferrara Kristina Lerman 13 24 0 08 Jun 2018