Deep Learning Publication Navigator - subtopic: sequence

Year TitleAuthor
2017   Energy-Based Sequence GANs for Recommendation and Their Connection to Imitation Learning  J Yoo, H Ha, J Yi, J Ryu, C Kim, JW Ha, YH Kim
2017   Understanding sequence conservation with deep learning  Y Li, D Quang, X Xie
2017   Deep Recurrent Neural Network for Protein Function Prediction from Sequence  XL Liu
2017   Autoregressive Attention for Parallel Sequence Modeling  D Laird, J Irvin
2017   Generic Mapping For Tracking Target Object In Video Sequence  R Tao, E Gavves, AWM Smeulders
2017   Deep Learning Architectures for DNA Sequence Classification  GL Bosco, MA Di Gangi
2017   Specific and intrinsic sequence patterns extracted by deep learning from intra-protein binding and non-binding peptide fragments  Y Wang, J Huang, W Li, S Wang, C Ding 
2017   A Deep Convolutional Neural Network for Video Sequence Background Subtraction  M Babaee, DT Dinh, G Rigoll
2017   Deriving Neural Architectures from Sequence and Graph Kernels  T Lei, W Jin, R Barzilay, T Jaakkola
2017   Learning Audio Sequence Representations for Acoustic Event Classification  Z Zhang, D Liu, J Han, B Schuller
2017   Human action recognition in RGB-D videosusing motion sequence information and deep learning  EP Ijjina, CK Mohan
2017   An introduction to Deep learning on biological sequence data–Examples and solutions  VI Jurtz, A Rosenberg Johansen, M Nielsen
2017   Protein contact prediction by integrating deep multiple sequence alignments, coevolution and machine learning  B Adhikari, J Hou, J Cheng 
2017   Actively Learning what makes a Discrete Sequence Valid  D Janz, J van der Westhuizen, JM Hernández
2017   Training Sequence Generative Adversarial Nets to Compose Music in the abc-notation  OF Jansen
2017   Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models  GL Guimaraes, B Sanchez
2017   Classification of G-protein coupled receptors based on a rich generation of convolutional neural network, N-gram transformation and multiple sequence alignments  M Li, C Ling, Q Xu, J Gao 
2017   Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network  A Lahiri, A Jain, PK Biswas, P Mitra 
2017   Reading Scene Text with Attention Convolutional Sequence Modeling  Y Gao, Y Chen, J Wang, H Lu
2017   DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning  X Gu, H Zhang, D Zhang, S Kim
2017   Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical Segmentation  KL Tseng, YL Lin, W Hsu, CY Huang
2017   Unified Deep Learning Architecture for Modeling Biology Sequence  WU Hongjie, CAO Chengyuan, XIA Xiaoyan, LÜ Qiang 
2017   DeeperBind: Enhancing Prediction of Sequence Specificities of DNA Binding Proteins  MD Wang, HR Hassanzadeh
2017   Customer Profile Learning Based On Semi-Supervised Recurrent Neural Network Using Partially Labeled Sequence Data  H Li, A Sheopuri, J Yi, Q Yu 
2016   AUC-Maximized Deep Convolutional Neural Fields for Protein Sequence Labeling  S Wang, S Sun, J Xu
2016   Auc-Maximized Deep Convolutional Neural Fields For Sequence Labeling  S Wang, S Sun, J Xu
2016   Factored Temporal Sigmoid Belief Networks for Sequence Learning  J Song, Z Gan, L Carin
2016   Sequence Student-Teacher Training of Deep Neural Networks  JHM Wong, MJF Gales
2016   Improvements in the Detection of Vowel Onset and Offset Points in a Speech Sequence  A Kumar, S Shahnawazuddin, G Pradhan
2016   Deep learning based fence segmentation and removal from an image using a video sequence  S Jonna, KK Nakka, RR Sahay
2016   CrystalBall: Statically analyzing runtime behavior via deep sequence learning  S Zekany, D Rings, N Harada, MA Laurenzano, L Tang
2016   SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient  L Yu, W Zhang, J Wang, Y Yu
2016   Deep Action Sequence Learning for Causal Shape Transformation  KG Lore, D Stoecklein, M Davies
2016   Sequence Summarizing Neural Network for Speaker Adaptation  K Vesely, S Watanabe, K Zmolikova, M Karafiat
2016   Hierarchical Conflict Propagation: Sequence Learning in a Recurrent Deep Neural Network  AJR Simpson
2016   Latent Sequence Decompositions  W Chan, Y Zhang, Q Le, N Jaitly
2016   Marker-Less 3D Human Motion Capture with Monocular Image Sequence and Height-Maps  Y Du, Y Wong, Y Liu, F Han, Y Gui, Z Wang
2016   Realtime control of sequence generation with character based Long Short Term Memory Recurrent Neural Networks  M Akten
2016   Visual localization based on sequence matching using ConvNet features  Y Qiao, C Cappelle, Y Ruichek, F Dornaika
2016   Does sequence matter? Productive failure and designing online authentic learning for process engineering  PK Lai, A Portolese, MJ Jacobson
2016   Compositional Sequence Labeling Models for Error Detection in Learner Writing  M Rei, H Yannakoudakis
2016   Semi-supervised Variational Autoencoders for Sequence Classification  W Xu, H Sun
2016   DNA Sequence Classification by Convolutional Neural Network  NG Nguyen, VA Tran, DL Ngo, D Phan, FR Lumbanraja
2016   Data selection by sequence summarizing neural network in mismatch condition training  K Zmolikova, M Karafiat, K Vesely, M Delcroix
2016   Encoder-decoder with Focus-mechanism for Sequence Labelling Based Spoken Language Understanding  S Zhu, K Yu
2016   Neural Probabilistic Models for Melody Prediction, Sequence Labelling and Classification  S Cherla
2016   Unsupervised Pretraining for Sequence to Sequence Learning  P Ramachandran, PJ Liu, QV Le
2016   Master thesis project Modeling of gene expression from DNA sequence by convolutional network Gagneur lab Professor for Computational Biology, TU München  J Gagneur
2015   Bidirectional LSTM-CRF Models for Sequence Tagging  Z Huang, W Xu, K Yu
2015   A New Multi-channels Sequence Recognition Framework Using Deep Convolutional Neural Network  R Zhang, C Li, D Jia
2015   Learning the Sequence Determinants of Alternative Splicing from Millions of Random Sequences  AB Rosenberg, RP Patwardhan, J Shendure, G Seelig
2015   Sequence transcription with deep neural networks  J Ibarz, Y Bulatov, I Goodfellow
2015   Predicting effects of noncoding variants with deep learning-based sequence model  J Zhou, OG Troyanskaya
2015   An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition  B Shi, X Bai, C Yao
2015   Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering  X Zhou, B Hu, Q Chen, B Tang, X Wang
2015   Systems And Methods For Combining Stochastic Average Gradient And Hessian-Free Optimization For Sequence Training Of Deep …  P Dognin, V Goel
2015   Phoneme sequence recognition via DTW-based classification  H Hamooni, A Mueen, A Neel
2015   Investigations On Sequence Training Of Neural Networks  S Wiesler, P Golik, R Schlüter, H Ney
2015   Semi-supervised Sequence Learning  AM Dai, QV Le
2015   A Scientific Modeling Sequence for Teaching Earth Seasons  B Covitt, D Friend, C Windell, J Baldwin
2015   Multi Task Sequence Learning for Depression Scale Prediction from Video  L Chao, J Tao, M Yang, Y Li
2015   Deep Temporal Sigmoid Belief Networks for Sequence Modeling  Z Gan, C Li, R Henao, D Carlson, L Carin
2015   Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features  A Nikfarjam, A Sarker, K O'Connor, R Ginn, G Gonzalez
2015   Predicting the sequence specificities of DNA-and RNA-binding proteins by deep learning  B Alipanahi, A Delong, MT Weirauch, BJ Frey
2015   Sequence Searching with Deep-learnt Depth for Condition-and Viewpoint-invariant Route-based Place Recognition  M Milford, S Lowry, N Sunderhauf, S Shirazi
2015   Diving deeper to predict noncoding sequence function  BE Engelhardt, CD Brown
2015   Sentiment Analysis via Integrating Distributed Representations of Variable-length Word Sequence  Z Cui, X Shi, Y Chen
2015   Systems And Methods For Character Sequence Recognition With No Explicit Segmentation  U Meier, RS Dixon, KM Groethe, JR Bellegarda
2015   Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks  S Bengio, O Vinyals, N Jaitly, N Shazeer
2015   Structured Regularizer for Neural Higher-Order Sequence Models  M Ratajczak, S Tschiatschek, F Pernkopf
2015   Expressing an Image Stream with a Sequence of Natural Sentences  CC Park, G Kim
2015   Sequence to Sequence--Video to Text  S Venugopalan, M Rohrbach, J Donahue, R Mooney
2015   Protein sequence labelling by AUC-maximized Deep Convolutional Neural Fields  S Wang, J Ma, S Sun, J Xu
2015   On the Problem of Features Variability in Sequence Learning Problems  MO Yahaya
2015   Motion Sequence Recognition with Multi-sensors Using Deep Convolutional Neural Network  R Zhang, C Li
2015   Yield Prediction through the Event Sequence Analysis of the Die Attach Process  H Lee, C Kim, H Ko, MK Kim
2014   Sequence to Sequence Learning with Neural Networks  I Sutskever, O Vinyals, QV Le
2014   Labeling unsegmented sequence data with DNN-HMM and its application for speech recognition  X Li, X Wu
2014   Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling  J Chung, C Gulcehre, KH Cho, Y Bengio