A Theoretically Grounded Application of Dropout in Recurrent Neural Networks

16 December 2015

Papers citing "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"

50 / 431 papers shown

Title
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians Juhan Bae Roger C. Grosse 27 24 0 26 Oct 2020
Cascaded Models With Cyclic Feedback For Direct Speech Translation Tsz Kin Lam Shigehiko Schamoni Stefan Riezler 32 12 0 21 Oct 2020
Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization Jiyang Xie Zhanyu Ma and Jianjun Lei Guoqiang Zhang Jing-Hao Xue Zheng-Hua Tan Jun Guo BDL 6 44 0 11 Oct 2020
Cardiac Arrhythmia Detection from ECG with Convolutional Recurrent Neural Networks J. V. Zaen R. Delgado-Gonzalo D. Ferrario 16 2 0 07 Oct 2020
Adversarial Grammatical Error Correction Vipul Raheja Dimitrios Alikaniotis 24 10 0 06 Oct 2020
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers Hanjie Chen Yangfeng Ji AAML VLM 15 63 0 01 Oct 2020
Quantal synaptic dilution enhances sparse encoding and dropout regularisation in deep networks Gardave S. Bhumbra 16 0 0 28 Sep 2020
Grounded Compositional Outputs for Adaptive Language Modeling Nikolaos Pappas Phoebe Mulcaire Noah A. Smith KELM 25 7 0 24 Sep 2020
Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks Boyuan Feng Yuke Wang Zihan Wang Yufei Ding AAML 19 34 0 22 Sep 2020
Graph representation forecasting of patient's medical conditions: towards a digital twin Pietro Barbiero Ramon Vinas Torné Pietro Lio AI4CE 23 12 0 17 Sep 2020
Advancing from Predictive Maintenance to Intelligent Maintenance with AI and IIoT Haining Zheng António R. C. Paiva C. Gurciullo 6 16 0 01 Sep 2020
Variational Inference-Based Dropout in Recurrent Neural Networks for Slot Filling in Spoken Language Understanding Jun Qi Xu Liu Javier Tejedor DRL 6 2 0 23 Aug 2020
Dyadic Speech-based Affect Recognition using DAMI-P2C Parent-child Multimodal Interaction Dataset Huili Chen Yue Zhang F. Weninger Rosalind W. Picard C. Breazeal Hae Won Park CVBM 35 14 0 20 Aug 2020
The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020 Tobias Domhan Michael J. Denkowski David Vilar Xing Niu Felix Hieber Kenneth Heafield 8 52 0 11 Aug 2020
Error Autocorrelation Objective Function for Improved System Modeling Anand Ramakrishnan Warren B.Jackson Kent Evans DRL 21 0 0 08 Aug 2020
Consistent Transcription and Translation of Speech Matthias Sperber Hendra Setiawan Christian Gollan Udhyakumar Nallasamy Matthias Paulik 26 18 0 24 Jul 2020
problemConquero at SemEval-2020 Task 12: Transformer and Soft label-based approaches Karishma Laud Jagriti Singh Randeep Kumar Sahu Ashutosh Modi 14 3 0 21 Jul 2020
Monte Carlo Dropout Ensembles for Robust Illumination Estimation Firas Laakom Jenni Raitoharju Alexandros Iosifidis Jarno Nikkanen Moncef Gabbouj UQCV 16 3 0 20 Jul 2020
To BAN or not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection Kristian Miok Blaž Škrlj D. Zaharie Marko Robnik-Šikonja 12 43 0 10 Jul 2020
Impact of COVID-19 on Forecasting Stock Prices: An Integration of Stationary Wavelet Transform and Bidirectional Long Short-Term Memory D. Štifanić J. Musulin Adrijana Miocevic Sandi Baressi Segota Roman Subic Z. Car 10 68 0 03 Jul 2020
Uncertainty Prediction for Deep Sequential Regression Using Meta Models Jirí Navrátil Matthew Arnold Benjamin Elder BDL UQCV 6 6 0 02 Jul 2020
Rethinking Anticipation Tasks: Uncertainty-aware Anticipation of Sparse Surgical Instrument Usage for Context-aware Assistance Dominik Rivoir S. Bodenstedt Isabel Funke F. Bechtolsheim Marius Distler Jürgen Weitz Stefanie Speidel 22 24 0 01 Jul 2020
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions Ahmed Alaa M. Schaar UQCV BDL 11 22 0 20 Jun 2020
LimeOut: An Ensemble Approach To Improve Process Fairness Vaishnavi Bhargava Miguel Couceiro A. Napoli FaML 21 20 0 17 Jun 2020
Multiscale Deep Equilibrium Models Shaojie Bai V. Koltun J. Zico Kolter BDL 38 211 0 15 Jun 2020
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks Mojtaba Faramarzi Mohammad Amini Akilesh Badrinaaraayanan Vikas Verma A. Chandar AAML 34 31 0 14 Jun 2020
A generative adversarial network approach to (ensemble) weather prediction Alexander Bihlo AI4Cl 23 77 0 13 Jun 2020
Combination of abstractive and extractive approaches for summarization of long scientific texts Vladislav Tretyak Denis Stepanov 21 10 0 09 Jun 2020
Personalizing Grammatical Error Correction: Adaptation to Proficiency Level and L1 Maria Nadejde Joel R. Tetreault 6 20 0 04 Jun 2020
Center-of-Mass-based Robust Grasp Planning for Unknown Objects Using Tactile-Visual Sensors Qian Feng Zhaopeng Chen Jun Deng Chunhui Gao Jianwei Zhang Alois Knoll 19 19 0 01 Jun 2020
Learning Various Length Dependence by Dual Recurrent Neural Networks Chenpeng Zhang Shuai Li Mao Ye Ce Zhu Xue Li 27 6 0 28 May 2020
Phone Features Improve Speech Translation Elizabeth Salesky A. Black 25 27 0 27 May 2020
Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values Zhiyong Cui Ruimin Ke Ziyuan Pu Yinhai Wang AI4TS 21 330 0 24 May 2020
Relative Positional Encoding for Speech Recognition and Direct Translation Ngoc-Quan Pham Thanh-Le Ha Tuan-Nam Nguyen T. Nguyen Elizabeth Salesky S. Stueker Jan Niehues A. Waibel 15 36 0 20 May 2020
An LSTM approach to Forecast Migration using Google Trends Nicolas Golenvaux Pablo Gonzalez Alvarez Harold Silvère Kiossou P. Schaus AI4TS 6 1 0 20 May 2020
Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders Kristian Miok Dong Nguyen Doan Marko Robnik-Šikonja D. Zaharie SyDa 34 7 0 13 May 2020
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach Wenyu Du Zhouhan Lin Songlin Yang Timothy J. O'Donnell Yoshua Bengio Yue Zhang 36 13 0 12 May 2020
Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation Andy Way Rejwanul Haque Guodong Xie F. Gaspari Maja Popovic Alberto Poncelas 9 10 0 01 May 2020
Scheduled DropHead: A Regularization Method for Transformer Models Wangchunshu Zhou Tao Ge Ke Xu Furu Wei Ming Zhou 20 36 0 28 Apr 2020
Compromise-free Bayesian neural networks K. Javid Will Handley Michael P. Hobson A. Lasenby UQCV BDL 22 8 0 25 Apr 2020
Machine Translation with Unsupervised Length-Constraints Jan Niehues 3DV 18 13 0 07 Apr 2020
B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning Shashank Bujimalla Mahesh Subedar Omesh Tickoo BDL UQCV 25 10 0 06 Apr 2020
Hybrid Neuro-Evolutionary Method for Predicting Wind Turbine Power Output Mehdi Neshat M. M. Nezhad Ehsan Abbasnejad D. Groppi A. Heydari L. B. Tjernberg D. Garcia Bradley Alexander Markus Wagner 6 4 0 02 Apr 2020
G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes Rui Li Zach Shahn Jun Li Mingyu Lu Prithwish Chakraborty Daby M. Sow Mohamed F. Ghalwash Li-wei H. Lehman CML AI4CE PINN BDL 11 12 0 23 Mar 2020
Unified Image and Video Saliency Modeling Richard Droste Jianbo Jiao J. A. Noble 68 157 0 11 Mar 2020
Prediction of Bayesian Intervals for Tropical Storms Max Chiswick Sam Ganzfried 8 0 0 10 Mar 2020
The Implicit and Explicit Regularization Effects of Dropout Colin Wei Sham Kakade Tengyu Ma 30 114 0 28 Feb 2020
Refined Gate: A Simple and Effective Gating Mechanism for Recurrent Units Zhanzhan Cheng Yunlu Xu Mingjian Cheng Yu Qiao Shiliang Pu Yi Niu Fei Wu 16 8 0 26 Feb 2020
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity Thomas Miconi Aditya Rawal Jeff Clune Kenneth O. Stanley 11 90 0 24 Feb 2020
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges T. H. Le Hao Chen Muhammad Ali Babar VLM 64 152 0 13 Feb 2020