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
SpliceOut: A Simple and Efficient Audio Augmentation Method Arjit Jain Pranay Reddy Samala Deepak Mittal P. Jyothi M. Singh 28 10 0 30 Sep 2021
iRNN: Integer-only Recurrent Neural Network Eyyub Sari Vanessa Courville V. Nia MQ 56 4 0 20 Sep 2021
Dropout's Dream Land: Generalization from Learned Simulators to Reality Zac Wellmer James T. Kwok SyDa 24 9 0 17 Sep 2021
Deep Visual Navigation under Partial Observability Bo Ai Wei Gao Vinay David Hsu 21 10 0 16 Sep 2021
COMBO: State-of-the-Art Morphosyntactic Analysis Mateusz Klimaszewski Alina Wróblewska AI4CE 24 4 0 11 Sep 2021
Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach Víctor M. Sánchez-Cartagena M. Esplà-Gomis Juan Antonio Pérez-Ortiz Felipe Sánchez-Martínez 45 27 0 08 Sep 2021
Not quite there yet: Combining analogical patterns and encoder-decoder networks for cognitively plausible inflection Basilio Calderone Nabil Hathout Olivier Bonami 14 5 0 09 Aug 2021
Towards Zero-shot Language Modeling Edoardo Ponti Ivan Vulić Ryan Cotterell Roi Reichart Anna Korhonen 30 19 0 06 Aug 2021
Taxonomizing local versus global structure in neural network loss landscapes Yaoqing Yang Liam Hodgkinson Ryan Theisen Joe Zou Joseph E. Gonzalez Kannan Ramchandran Michael W. Mahoney 40 36 0 23 Jul 2021
Noisy Training Improves E2E ASR for the Edge Dilin Wang Yuan Shangguan Haichuan Yang P. Chuang Jiatong Zhou Meng Li Ganesh Venkatesh Ozlem Kalinli Vikas Chandra 14 4 0 09 Jul 2021
R-Drop: Regularized Dropout for Neural Networks Xiaobo Liang Lijun Wu Juntao Li Yue Wang Qi Meng Tao Qin Wei Chen Hao Fei Tie-Yan Liu 47 424 0 28 Jun 2021
Stabilizing Equilibrium Models by Jacobian Regularization Shaojie Bai V. Koltun J. Zico Kolter 33 57 0 28 Jun 2021
Optimizing Bayesian Recurrent Neural Networks on an FPGA-based Accelerator Martin Ferianc Zhiqiang Que Hongxiang Fan Wayne Luk Miguel R. D. Rodrigues BDL 14 7 0 04 Jun 2021
LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations Ruisheng Cao Lu Chen Zhi Chen Yanbin Zhao Su Zhu Kai Yu 22 159 0 02 Jun 2021
Uncertainty Characteristics Curves: A Systematic Assessment of Prediction Intervals Jirí Navrátil Benjamin Elder Matthew Arnold S. Ghosh P. Sattigeri 17 5 0 01 Jun 2021
Recurrent-type Neural Networks for Real-time Short-term Prediction of Ship Motions in High Sea State D. D’Agostino A. Serani F. Stern Matteo Diez 23 14 0 27 May 2021
Estimating the Uncertainty of Neural Network Forecasts for Influenza Prevalence Using Web Search Activity Michael Morris Peter A. Hayes Ingemar J. Cox Vasileios Lampos 21 1 0 26 May 2021
Spectral Pruning for Recurrent Neural Networks Takashi Furuya Kazuma Suetake K. Taniguchi Hiroyuki Kusumoto Ryuji Saiin Tomohiro Daimon 27 4 0 23 May 2021
Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation Xiao Sun B. Bahmani Nikolaos N. Vlassis WaiChing Sun Yanxun Xu CML AI4CE 65 26 0 20 May 2021
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning Yue Wu Shuangfei Zhai Nitish Srivastava J. Susskind Jian Zhang Ruslan Salakhutdinov Hanlin Goh EDL OffRL OnRL 21 184 0 17 May 2021
Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business Processes Hans Weytjens Jochen De Weerdt BDL 29 8 0 12 May 2021
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting Y. Xu G. G. Calvi Danilo P. Mandic AI4TS 19 11 0 11 May 2021
An analysis of full-size Russian complexly NER labelled corpus of Internet user reviews on the drugs based on deep learning and language neural nets A. Sboev S. Sboeva I. Moloshnikov A. Gryaznov R. Rybka A. Naumov A. Selivanov Gleb Rylkov Viacheslav Ilyin 23 3 0 30 Apr 2021
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums Jialin Yu Laila Alrajhi Anoushka Harit Zhongtian Sun Alexandra I. Cristea Lei Shi BDL UQCV 24 8 0 26 Apr 2021
Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes Pravin Bhasme Jenil Vagadiya Udit Bhatia AI4CE 17 64 0 22 Apr 2021
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost Zhen Wu Lijun Wu Qi Meng Yingce Xia Shufang Xie Tao Qin Xinyu Dai Tie-Yan Liu 18 22 0 11 Apr 2021
Speaker embeddings by modeling channel-wise correlations Themos Stafylakis Johan Rohdin L. Burget 11 9 0 06 Apr 2021
Rethinking Perturbations in Encoder-Decoders for Fast Training Sho Takase Shun Kiyono 33 45 0 05 Apr 2021
Low-Resource Language Modelling of South African Languages Stuart Mesham Luc Hayward Jared Shapiro Jan Buys 6 14 0 01 Apr 2021
UnICORNN: A recurrent model for learning very long time dependencies T. Konstantin Rusch Siddhartha Mishra 24 60 0 09 Mar 2021
Continuous Learning in Neural Machine Translation using Bilingual Dictionaries Jan Niehues CLL 22 17 0 12 Feb 2021
The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms Lorena Qendro Jagmohan Chauhan Alberto Gil C. P. Ramos Cecilia Mascolo 21 6 0 11 Feb 2021
Fine-tuning Handwriting Recognition systems with Temporal Dropout Edgard Chammas C. Mokbel 13 3 0 31 Jan 2021
Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates Artem Shelmanov Dmitri Puzyrev L. Kupriyanova D. Belyakov Daniil Larionov Nikita Khromov Olga Kozlova Ekaterina Artemova Dmitry Dylov Alexander Panchenko BDL UQLM UQCV 11 53 0 20 Jan 2021
MONAH: Multi-Modal Narratives for Humans to analyze conversations Joshua Y. Kim Greyson Y. Kim Chunfeng Liu R. Calvo Silas C. R. Taylor K. Yacef 29 6 0 18 Jan 2021
A Recurrent Neural Network Approach to Roll Estimation for Needle Steering Maxwell Emerson James M. Ferguson T. Ertop M. Rox J. Granna ... Fabien Maldonado E. Gillaspie Ron Alterovitz R. Webster Alan Kuntz LLMSV 30 3 0 13 Jan 2021
Symmetry-adapted graph neural networks for constructing molecular dynamics force fields Zun Wang Chong Wang Sibo Zhao Shiqiao Du Yong Xu B. Gu W. Duan AI4CE 27 14 0 08 Jan 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks Hieu H. Pham Quoc V. Le 76 56 0 05 Jan 2021
Recoding latent sentence representations -- Dynamic gradient-based activation modification in RNNs Dennis Ulmer 33 0 0 03 Jan 2021
Improving Zero-Shot Translation by Disentangling Positional Information Danni Liu Jan Niehues James Cross Francisco Guzmán Xian Li 48 48 0 30 Dec 2020
Implicit Feature Pyramid Network for Object Detection Tiancai Wang Xinming Zhang Jian Sun ObjD 13 27 0 25 Dec 2020
Uncertainty-Aware Label Refinement for Sequence Labeling Tao Gui Jiacheng Ye Qi Zhang Zhengyan Li Zichu Fei Yeyun Gong Xuanjing Huang BDL 36 25 0 19 Dec 2020
Learning Prediction Intervals for Model Performance Benjamin Elder Matthew Arnold Anupama Murthi Jirí Navrátil 27 10 0 15 Dec 2020
Mutual Information Constraints for Monte-Carlo Objectives Gábor Melis András Gyorgy Phil Blunsom 21 1 0 01 Dec 2020
Transformer-Transducers for Code-Switched Speech Recognition Siddharth Dalmia Yuzong Liu S. Ronanki Katrin Kirchhoff 17 47 0 30 Nov 2020
Prediction in ungauged regions with sparse flow duration curves and input-selection ensemble modeling D. Feng K. Lawson Chaopeng Shen AI4TS 18 74 0 26 Nov 2020
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs Cheng Wang Carolin (Haas) Lawrence Mathias Niepert UQCV 29 10 0 24 Nov 2020
Optimizing Transformer for Low-Resource Neural Machine Translation Ali Araabi Christof Monz VLM 41 78 0 04 Nov 2020
Deep Diacritization: Efficient Hierarchical Recurrence for Improved Arabic Diacritization Badr AlKhamissi Muhammad N. ElNokrashy Mohamed Gabr 9 18 0 01 Nov 2020
Bayesian Methods for Semi-supervised Text Annotation Kristian Miok Gregor Pirš Marko Robnik-Šikonja BDL 34 5 0 28 Oct 2020