LSTM: A Search Space Odyssey

13 March 2015

Papers citing "LSTM: A Search Space Odyssey"

50 / 323 papers shown

Title
Automatic Dialogic Instruction Detection for K-12 Online One-on-one Classes Shiting Xu Wenbiao Ding Zitao Liu VLM 14 12 0 16 May 2020
Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation Dino Ienco Y. J. E. Gbodjo R. Interdonato R. Gaetano 29 2 0 30 Apr 2020
MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG signal Classification Seyed Ahmad Mirsalari Sima Sinaei M. Salehi Masoud Daneshtalab MQ 11 5 0 19 Apr 2020
Difference Attention Based Error Correction LSTM Model for Time Series Prediction Yuxuan Liu Jiangyong Duan Juan Meng AI4TS 20 7 0 30 Mar 2020
Teaching Machines to Converse Jiwei Li 29 4 0 31 Jan 2020
An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection Rujikorn Charakorn Y. Thawornwattana Sirawaj Itthipuripat Nick Pawlowski P. Manoonpong Nat Dilokthanakul DRL OCL 29 13 0 24 Jan 2020
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities Kaixuan Chen Dalin Zhang Lina Yao Bin Guo Zhiwen Yu Yunhao Liu HAI 42 619 0 21 Jan 2020
Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference Changhao Chen Peijun Zhao Chris Xiaoxuan Lu Wei Wang Andrew Markham A. Trigoni 29 112 0 13 Jan 2020
Deep learning for brake squeal: vibration detection, characterization and prediction M. Stender M. Tiedemann David Spieler Daniel Schoepflin N. Hoffmann S. Oberst 17 59 0 02 Jan 2020
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis Mahendra Khened Avinash Kori Haran Rajkumar Balaji Srinivasan Ganapathy Krishnamurthi MedIm LM&MA 217 166 0 01 Jan 2020
Enhancing streamflow forecast and extracting insights using long-short term memory networks with data integration at continental scales D. Feng K. Fang Chaopeng Shen AI4TS 26 274 0 18 Dec 2019
Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning Ugur Kursuncu Manas Gaur A. Sheth NAI 20 57 0 01 Dec 2019
Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019 Omer Berat Sezer M. U. Gudelek A. Ozbayoglu AI4TS 35 993 0 29 Nov 2019
Efficient Global String Kernel with Random Features: Beyond Counting Substructures Lingfei Wu Ian En-Hsu Yen Siyu Huo Liang Zhao Kun Xu Liang Ma S. Ji Charu C. Aggarwal 23 5 0 25 Nov 2019
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition Jibin Wu Emre Yilmaz Malu Zhang Haizhou Li Kay Chen Tan 33 104 0 19 Nov 2019
Human Action Recognition Using Deep Multilevel Multimodal (M2) Fusion of Depth and Inertial Sensors Zeeshan Ahmad N. Khan 14 43 0 25 Oct 2019
Federated Evaluation of On-device Personalization Kangkang Wang Rajiv Mathews Chloé Kiddon Hubert Eichner F. Beaufays Daniel Ramage FedML 13 282 0 22 Oct 2019
Backpropagation Algorithms and Reservoir Computing in Recurrent Neural Networks for the Forecasting of Complex Spatiotemporal Dynamics Pantelis R. Vlachas Jaideep Pathak Brian R. Hunt T. Sapsis M. Girvan Edward Ott Petros Koumoutsakos AI4TS 19 384 0 09 Oct 2019
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods Kevin J Liang Guoyin Wang Yitong Li Ricardo Henao Lawrence Carin 30 2 0 09 Oct 2019
Federated Learning of N-gram Language Models Mingqing Chen A. Suresh Rajiv Mathews Adeline Wong Cyril Allauzen F. Beaufays Michael Riley FedML 18 74 0 08 Oct 2019
Optimizing Speech Recognition For The Edge Yuan Shangguan Jian Li Qiao Liang R. Álvarez Ian McGraw 28 64 0 26 Sep 2019
Explaining and Interpreting LSTMs L. Arras Jose A. Arjona-Medina Michael Widrich G. Montavon Michael Gillhofer K. Müller Sepp Hochreiter Wojciech Samek FAtt AI4TS 21 79 0 25 Sep 2019
Automatically Extracting Challenge Sets for Non local Phenomena in Neural Machine Translation Leshem Choshen Omri Abend 19 18 0 15 Sep 2019
An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms Qianyu Guo Sen Chen Xiaofei Xie Lei Ma Q. Hu Hongtao Liu Yang Liu Jianjun Zhao Xiaohong Li 38 122 0 15 Sep 2019
diffGrad: An Optimization Method for Convolutional Neural Networks S. Dubey Soumendu Chakraborty Swalpa Kumar Roy Snehasis Mukherjee S. Singh B. B. Chaudhuri ODL 97 183 0 12 Sep 2019
Comparative Analysis of CNN-based Spatiotemporal Reasoning in Videos Okan Kopuklu Fabian Herzog Gerhard Rigoll 22 6 0 11 Sep 2019
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning Theo Jaunet Romain Vuillemot Christian Wolf HAI 18 36 0 06 Sep 2019
Inception-inspired LSTM for Next-frame Video Prediction Matin Hosseini Anthony Maida Majid Hosseini Raju N. Gottumukkala 14 18 0 28 Aug 2019
Survey on Deep Neural Networks in Speech and Vision Systems M. Alam Manar D. Samad Lasitha Vidyaratne Alexander M. Glandon Khan M. Iftekharuddin 3DV VLM AI4TS 34 205 0 16 Aug 2019
A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Jordan J. Bird Diego Resende Faria Luis J. Manso Anikó Ekárt C. Buckingham 9 87 0 13 Aug 2019
Automatically Learning Construction Injury Precursors from Text Henrietta Baker Matthew R. Hallowell A. Tixier 38 101 0 26 Jul 2019
Deep Learning for Time Series Forecasting: The Electric Load Case Alberto Gasparin S. Lukovic Cesare Alippi AI4TS 27 220 0 22 Jul 2019
A system of different layers of abstraction for artificial intelligence Alexander Serb T. Prodromakis AI4CE 24 6 0 22 Jul 2019
A semi-holographic hyperdimensional representation system for hardware-friendly cognitive computing Alexandrou Serb I. Kobyzev Jiaqi Wang T. Prodromakis 4 3 0 12 Jul 2019
Global Aggregations of Local Explanations for Black Box models I. V. D. Linden H. Haned Evangelos Kanoulas FAtt 21 63 0 05 Jul 2019
Real to H-space Encoder for Speech Recognition Titouan Parcollet Mohamed Morchid G. Linarès R. Mori 23 0 0 17 Jun 2019
Federated Learning for Emoji Prediction in a Mobile Keyboard Swaroop Indra Ramaswamy Rajiv Mathews Kanishka Rao Franccoise Beaufays FedML 21 309 0 11 Jun 2019
A Combination of Temporal Sequence Learning and Data Description for Anomaly-based NIDS Nguyen Thanh Van T. N. Thinh Le Thanh Sach AI4TS 11 4 0 07 Jun 2019
On Network Design Spaces for Visual Recognition Ilija Radosavovic Justin Johnson Saining Xie Wan-Yen Lo Piotr Dollár 25 134 0 30 May 2019
Language Modeling with Deep Transformers Kazuki Irie Albert Zeyer Ralf Schluter Hermann Ney KELM 41 171 0 10 May 2019
Multi-modal gated recurrent units for image description Xuelong Li Aihong Yuan Xiaoqiang Lu GAN 21 26 0 20 Apr 2019
A deep learning based solution for construction equipment detection: from development to deployment Saeed Arabi Arya Haghighat Anuj Sharma 14 25 0 18 Apr 2019
DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition Toby Perrett Dima Damen 22 24 0 18 Apr 2019
Federated Learning Of Out-Of-Vocabulary Words Mingqing Chen Rajiv Mathews Tom Y. Ouyang F. Beaufays FedML 30 163 0 26 Mar 2019
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos Romero Morais Vuong Le T. Tran Budhaditya Saha M. Mansour Svetha Venkatesh 24 261 0 08 Mar 2019
A Model-Driven Stack-Based Fully Convolutional Network for Pancreas Segmentation Hao Li Jun Yu Li Xiaozhu Lin Xiaohua Qian 30 10 0 03 Mar 2019
A Data Driven Method of Optimizing Feedforward Compensator for Autonomous Vehicle Tianyu Shi Pin Wang Ching-yao Chan Chonghao Zou 28 4 0 31 Jan 2019
Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets G. Bellec Franz Scherr Elias Hajek Darjan Salaj Robert Legenstein Wolfgang Maass PINN 14 89 0 25 Jan 2019
Slim LSTM networks: LSTM_6 and LSTM_C6 Atra Akandeh F. Salem 24 13 0 18 Jan 2019
Using stigmergy as a computational memory in the design of recurrent neural networks Federico A. Galatolo M. G. Cimino G. Vaglini 11 3 0 09 Jan 2019