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 / 433 papers shown

Title
Satellite Anomaly Detection Using Variance Based Genetic Ensemble of Neural Networks Mohammad Amin Maleki Sadr Yeying Zhu Peng Hu 29 3 0 10 Feb 2023
Naive imputation implicitly regularizes high-dimensional linear models Alexis Ayme Claire Boyer Aymeric Dieuleveut Erwan Scornet AI4CE 24 6 0 31 Jan 2023
Implementation of the Critical Wave Groups Method with Computational Fluid Dynamics and Neural Networks K. Silva K. Maki 21 3 0 24 Jan 2023
Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation Y. Li Mingzhou Yang Matthew J. Eagon Majid Farhadloo Yiqun Xie W. Northrop Shashi Shekhar University of Minnesota 36 5 0 13 Jan 2023
Multitask Weakly Supervised Learning for Origin Destination Travel Time Estimation Hongjun Wang Zhiwen Zhang Z. Fan Jiyuan Chen Lingyu Zhang Ryosuke Shibasaki Xuan Song 32 6 0 13 Jan 2023
Lessons Learned Applying Deep Learning Approaches to Forecasting Complex Seasonal Behavior Andrew T. Karl J. Wisnowski L. Petropoulos AI4TS 17 0 0 04 Jan 2023
Macro-block dropout for improved regularization in training end-to-end speech recognition models Chanwoo Kim Sathish Indurti Jinhwan Park Wonyong Sung 33 0 0 29 Dec 2022
QoS-Aware Resource Management for Multi-phase Serverless Workflows with Aquatope Zhuangzhuang Zhou Yanqi Zhang Christina Delimitrou 26 1 0 28 Dec 2022
Training Integer-Only Deep Recurrent Neural Networks V. Nia Eyyub Sari Vanessa Courville M. Asgharian MQ 53 2 0 22 Dec 2022
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions Cheng Wang Carolin (Haas) Lawrence Mathias Niepert 21 3 0 10 Dec 2022
Copula Conformal Prediction for Multi-step Time Series Forecasting S. Sun Rose Yu AI4TS 37 22 0 06 Dec 2022
UQ-ARMED: Uncertainty quantification of adversarially-regularized mixed effects deep learning for clustered non-iid data A. Treacher K. Nguyen Dylan A. Owens D. Heitjan A. Montillo FedML 9 0 0 29 Nov 2022
An Anomaly Detection Method for Satellites Using Monte Carlo Dropout Mohammad Amin Maleki Sadr Yeying Zhu Peng Hu BDL 24 16 0 27 Nov 2022
Deep equilibrium models as estimators for continuous latent variables Russell Tsuchida Cheng Soon Ong 30 8 0 11 Nov 2022
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving Liang Peng Boqi Li Wen-Hui Yu Kailiang Yang Wenbo Shao Hong Wang AAML 36 24 0 08 Nov 2022
Circling Back to Recurrent Models of Language Gábor Melis 40 0 0 03 Nov 2022
Generative Adversarial Training Can Improve Neural Language Models Sajad Movahedi A. Shakery GAN AI4CE 34 2 0 02 Nov 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity Dennis Ulmer J. Frellsen Christian Hardmeier 195 22 0 20 Oct 2022
Temporal Spatial Decomposition and Fusion Network for Time Series Forecasting Liwang Zhou Jing Gao AI4TS 14 1 0 06 Oct 2022
Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder Fangyu Lei Shizhu He Xiang Li Jun Zhao Kang Liu AIMat LMTD 31 23 0 16 Sep 2022
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey S. Sun AI4CE 38 10 0 08 Sep 2022
Bayesian Neural Network Language Modeling for Speech Recognition Boyang Xue Shoukang Hu Junhao Xu Mengzhe Geng Xunying Liu Helen M. Meng UQCV BDL 44 14 0 28 Aug 2022
A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives Adam Thelen Xiaoge Zhang Olga Fink Yan Lu Sayan Ghosh B. Youn Michael D. Todd S. Mahadevan Chao Hu Zhen Hu 27 86 0 27 Aug 2022
DropKey Bonan li Yinhan Hu Xuecheng Nie Congying Han Xiangjian Jiang Tiande Guo Luoqi Liu 20 11 0 04 Aug 2022
SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences Peng Qi Guangtao Wang Jing Huang 24 0 0 03 Aug 2022
Boosting the interpretability of clinical risk scores with intervention predictions Eric Loreaux Ke Yu Jonas Kemp Martin G. Seneviratne Christina W. Chen ... Ivan V. Protsyuk Natalie Harris Alexander DÁmour Steve Yadlowsky Ming-Jun Chen 19 1 0 06 Jul 2022
Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product Attribute Extraction Keiji Shinzato Naoki Yoshinaga Yandi Xia Wei-Te Chen 20 23 0 28 Jun 2022
Learning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring Hans Weytjens Jochen De Weerdt 21 17 0 13 Jun 2022
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time Anand Subramoney Khaleelulla Khan Nazeer Mark Schöne Christian Mayr David Kappel 35 16 0 13 Jun 2022
Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation Pengzhi Gao Zhongjun He Hua Wu Haifeng Wang 35 13 0 06 Jun 2022
BayesFormer: Transformer with Uncertainty Estimation Karthik Abinav Sankararaman Sinong Wang Han Fang UQCV BDL 30 10 0 02 Jun 2022
Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning Julian Burghoff Robin Shing Moon Chan Hanno Gottschalk Annika Muetze Tobias Riedlinger Matthias Rottmann Marius Schubert BDL 34 0 0 30 May 2022
"Help! Can You Hear Me?": Understanding How Help-Seeking Posts are Overwhelmed on Social Media during a Natural Disaster Changyang He Yue Deng Wenjie Yang Bo-wen Li 14 9 0 25 May 2022
Transition-based Semantic Role Labeling with Pointer Networks Daniel Fernández-González 21 5 0 20 May 2022
Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction with Uncertainty Estimation Samuele Capobianco N. Forti L. Millefiori P. Braca P. Willett 10 27 0 11 May 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation Yong Li Weizhi Ma C. L. Philip Chen Hao Fei Yiqun Liu Shaoping Ma Yue Yang 35 9 0 05 Apr 2022
CipherDAug: Ciphertext based Data Augmentation for Neural Machine Translation Nishant Kambhatla Logan Born Anoop Sarkar 21 16 0 01 Apr 2022
Single Model Ensemble for Subword Regularized Models in Low-Resource Machine Translation Sho Takase Tatsuya Hiraoka Naoaki Okazaki 16 5 0 25 Mar 2022
Estimating average causal effects from patient trajectories Dennis Frauen Tobias Hatt Valentyn Melnychuk Stefan Feuerriegel OOD CML 19 25 0 02 Mar 2022
Recency Dropout for Recurrent Recommender Systems Bo-Yu Chang Can Xu Matt Le Jingchen Feng Ya Le Sriraj Badam Ed H. Chi Minmin Chen 25 3 0 26 Jan 2022
Fine-Grained Trajectory-based Travel Time Estimation for Multi-city Scenarios Based on Deep Meta-Learning Chenxing Wang Fang Zhao Haichao Zhang Haiyong Luo Yanjun Qin Yuchen Fang AI4TS 14 17 0 20 Jan 2022
ExtraPhrase: Efficient Data Augmentation for Abstractive Summarization Mengsay Loem Sho Takase Masahiro Kaneko Naoaki Okazaki 21 12 0 14 Jan 2022
Empirical Evaluation of Deep Learning Models for Knowledge Tracing: Of Hyperparameters and Metrics on Performance and Replicability Sami Sarsa Juho Leinonen Arto Hellas 19 13 0 30 Dec 2021
An empirical user-study of text-based nonverbal annotation systems for human-human conversations Joshua Y. Kim K. Yacef 19 1 0 30 Dec 2021
Bayesian Neural Hawkes Process for Event Uncertainty Prediction Manisha Dubey Ragja Palakkadavath P. K. Srijith BDL 11 6 0 29 Dec 2021
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting Abdulmajid Murad F. Kraemer Kerstin Bach Gavin Taylor OOD BDL UQCV 17 12 0 05 Dec 2021
Semi-supervised Impedance Inversion by Bayesian Neural Network Based on 2-d CNN Pre-training Muyang Ge Wenlong Wang Wangxiangming Zheng SSL 15 7 0 20 Nov 2021
Data-Driven System Identification of 6-DoF Ship Motion in Waves with Neural Networks K. Silva K. Maki 17 52 0 02 Nov 2021
Preventing posterior collapse in variational autoencoders for text generation via decoder regularization Alban Petit Caio Corro DRL 21 3 0 28 Oct 2021
Long Expressive Memory for Sequence Modeling T. Konstantin Rusch Siddhartha Mishra N. Benjamin Erichson Michael W. Mahoney AI4TS 22 44 0 10 Oct 2021