Recurrent Neural Network Regularization

8 September 2014

Papers citing "Recurrent Neural Network Regularization"

50 / 274 papers shown

Title
Super-resolution-based Change Detection Network with Stacked Attention Module for Images with Different Resolutions Mengxi Liu Q. Shi Andrea Marinoni Da He Xiaoping Liu Liangpei Zhang 45 121 0 27 Feb 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks Hieu H. Pham Quoc V. Le 76 56 0 05 Jan 2021
Residual Matrix Product State for Machine Learning Ye Meng Jing Zhang Peng Zhang Chao Gao Shi-Ju Ran 26 12 0 22 Dec 2020
Robot Gaining Accurate Pouring Skills through Self-Supervised Learning and Generalization Yongqiang Huang Juan Wilches Yu Sun SSL 17 22 0 19 Nov 2020
Biomedical Named Entity Recognition at Scale Veysel Kocaman D. Talby 22 67 0 12 Nov 2020
Bayesian Methods for Semi-supervised Text Annotation Kristian Miok Gregor Pirš Marko Robnik-Šikonja BDL 34 5 0 28 Oct 2020
Avoiding Occupancy Detection from Smart Meter using Adversarial Machine Learning Ibrahim Yilmaz Ambareen Siraj AAML 15 21 0 23 Oct 2020
Improving Text Generation with Student-Forcing Optimal Transport Guoyin Wang Chunyuan Li Jianqiao Li Hao Fu Yuh-Chen Lin ... Ruiyi Zhang Wenlin Wang Dinghan Shen Qian Yang Lawrence Carin OT 30 17 0 12 Oct 2020
Discrete-time signatures and randomness in reservoir computing Christa Cuchiero Lukas Gonon Lyudmila Grigoryeva Juan-Pablo Ortega Josef Teichmann 27 45 0 17 Sep 2020
DCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal Cong Wang Xiaoying Xing Zhixun Su Junyang Chen 17 114 0 03 Aug 2020
Dimension reduction in recurrent networks by canonicalization Lyudmila Grigoryeva Juan-Pablo Ortega 24 19 0 23 Jul 2020
Recognizing Chinese Judicial Named Entity using BiLSTM-CRF Pin Tang Pinli Yang Yuang Shi Yi Zhou Feng Lin Yan-Chao Wang AILaw 27 12 0 31 May 2020
rTop-k: A Statistical Estimation Approach to Distributed SGD L. P. Barnes Huseyin A. Inan Berivan Isik Ayfer Özgür 32 65 0 21 May 2020
Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning Jeffrey M. Ede 24 12 0 06 Apr 2020
Using Reinforcement Learning in the Algorithmic Trading Problem E. Ponomarev Ivan Oseledets A. Cichocki 30 24 0 26 Feb 2020
Teaching Machines to Converse Jiwei Li 29 4 0 31 Jan 2020
Delving Deeper into the Decoder for Video Captioning Haoran Chen Jianmin Li Xiaolin Hu 43 34 0 16 Jan 2020
Graduate Employment Prediction with Bias Teng Guo Feng Xia Shi Zhen Xiaomei Bai Dongyu Zhang Zitao Liu Jiliang Tang 40 26 0 27 Dec 2019
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications Hyunseok Seo M. B. Khuzani V. Vasudevan Charles Huang Hongyi Ren Ruoxiu Xiao Xiao Jia Lei Xing VLM 24 218 0 06 Nov 2019
Efficient Decoupled Neural Architecture Search by Structure and Operation Sampling Heung-Chang Lee Do-Guk Kim Bohyung Han 38 6 0 23 Oct 2019
Image Super-Resolution via Attention based Back Projection Networks Zhi-Song Liu Li-Wen Wang Chu-Tak Li W. Siu Yui-Lam Chan SupR 40 67 0 10 Oct 2019
Multilingual End-to-End Speech Translation Hirofumi Inaguma Kevin Duh Tatsuya Kawahara Shinji Watanabe LRM 28 86 0 01 Oct 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
Listen, Attend, Spell and Adapt: Speaker Adapted Sequence-to-Sequence ASR F. Weninger Jesús Andrés-Ferrer Xinwei Li P. Zhan AI4TS 29 26 0 08 Jul 2019
Temporally Coherent Full 3D Mesh Human Pose Recovery from Monocular Video Jian Liu Naveed Akhtar Ajmal Mian 3DH 18 10 0 01 Jun 2019
Stochastic Gradient Methods with Block Diagonal Matrix Adaptation Jihun Yun A. Lozano Eunho Yang ODL 9 5 0 26 May 2019
Survey of Dropout Methods for Deep Neural Networks Alex Labach Hojjat Salehinejad S. Valaee 27 149 0 25 Apr 2019
Effective Estimation of Deep Generative Language Models Tom Pelsmaeker Wilker Aziz BDL 24 27 0 17 Apr 2019
Knowledge Distillation For Recurrent Neural Network Language Modeling With Trust Regularization Yangyang Shi M. Hwang X. Lei Haoyu Sheng 31 25 0 08 Apr 2019
A Statistical Investigation of Long Memory in Language and Music Alexander Greaves-Tunnell Zaïd Harchaoui AI4TS 27 24 0 08 Apr 2019
Effective and Efficient Dropout for Deep Convolutional Neural Networks Shaofeng Cai Jinyang Gao Gang Chen Beng Chin Ooi Wei Wang Meihui Zhang BDL 18 53 0 06 Apr 2019
A Learned Representation for Scalable Vector Graphics Raphael Gontijo-Lopes David R Ha Douglas Eck Jonathon Shlens GAN OCL 30 113 0 04 Apr 2019
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints Shaofeng Cai Gang Chen Beng Chin Ooi Jinyang Gao 25 19 0 03 Apr 2019
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models T. Vishnu Diksha Garg Pankaj Malhotra L. Vig Gautam M. Shroff UQCV 32 15 0 23 Mar 2019
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions M. Mackay Paul Vicol Jonathan Lorraine David Duvenaud Roger C. Grosse 27 164 0 07 Mar 2019
Context Vectors are Reflections of Word Vectors in Half the Dimensions Z. Assylbekov Rustem Takhanov 16 10 0 26 Feb 2019
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities O. Ganea Sylvain Gelly Gary Bécigneul Aliaksei Severyn 26 18 0 21 Feb 2019
Ising-Dropout: A Regularization Method for Training and Compression of Deep Neural Networks Hojjat Salehinejad S. Valaee 26 30 0 07 Feb 2019
Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM Hongxu Yin Guoyang Chen Yingmin Li Shuai Che Weifeng Zhang N. Jha 36 10 0 30 Jan 2019
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting Ritchie Zhao Yuwei Hu Jordan Dotzel Christopher De Sa Zhiru Zhang OODD MQ 50 305 0 28 Jan 2019
Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity Typing Joohong Lee Sang-gyu Seo Y. Choi 25 116 0 23 Jan 2019
Slim LSTM networks: LSTM_6 and LSTM_C6 Atra Akandeh F. Salem 16 13 0 18 Jan 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context Zihang Dai Zhilin Yang Yiming Yang J. Carbonell Quoc V. Le Ruslan Salakhutdinov VLM 38 3,674 0 09 Jan 2019
Choosing the Right Word: Using Bidirectional LSTM Tagger for Writing Support Systems Victor Makarenkov Lior Rokach Bracha Shapira 18 35 0 08 Jan 2019
Team EP at TAC 2018: Automating data extraction in systematic reviews of environmental agents Artur Jacek Nowak P. Kunstman 9 2 0 07 Jan 2019
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review Ahmad Shawahna S. M. Sait A. El-Maleh 28 372 0 01 Jan 2019
Learning Private Neural Language Modeling with Attentive Aggregation Shaoxiong Ji Shirui Pan Guodong Long Xue Li Jing Jiang Zi Huang FedML MoMe 16 136 0 17 Dec 2018
Parameter Re-Initialization through Cyclical Batch Size Schedules Norman Mu Z. Yao A. Gholami Kurt Keutzer Michael W. Mahoney ODL 30 8 0 04 Dec 2018
Quantifying Uncertainties in Natural Language Processing Tasks Yijun Xiao William Yang Wang UQCV BDL 32 142 0 18 Nov 2018
Spatio-temporal Stacked LSTM for Temperature Prediction in Weather Forecasting Zahra Karevan Johan A. K. Suykens 14 39 0 15 Nov 2018