Deep Learning in Neural Networks: An Overview

30 April 2014

Papers citing "Deep Learning in Neural Networks: An Overview"

50 / 756 papers shown

Title
Applications of Deep Learning and Reinforcement Learning to Biological Data M. S. M. Mahmud M. S. Kaiser Amir Hussain S. Vassanelli OffRL AI4CE 41 641 0 10 Nov 2017
Feed Forward and Backward Run in Deep Convolution Neural Network P. Murugan FAtt 13 30 0 09 Nov 2017
Neural Language Modeling by Jointly Learning Syntax and Lexicon Songlin Yang Zhouhan Lin Chin-Wei Huang Aaron Courville 46 178 0 02 Nov 2017
Deep Learning and Conditional Random Fields-based Depth Estimation and Topographical Reconstruction from Conventional Endoscopy Faisal Mahmood Nicholas J. Durr MedIm 35 142 0 30 Oct 2017
Human-in-the-loop Artificial Intelligence Fabio Massimo Zanzotto 35 265 0 23 Oct 2017
Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks Michele Alberti Mathias Seuret Vinaychandran Pondenkandath Rolf Ingold Marcus Liwicki 29 17 0 19 Oct 2017
Sea Level Anomaly Prediction using Recurrent Neural Networks A. Braakmann-Folgmann R. Roscher Susanne Wenzel B. Uebbing J. Kusche AI4Cl 35 40 0 19 Oct 2017
Deep Gaussian Covariance Network K. Cremanns D. Roos BDL 24 20 0 17 Oct 2017
A retrieval-based dialogue system utilizing utterance and context embeddings A. Bartl Gerasimos Spanakis RALM 22 38 0 16 Oct 2017
High-dimensional dynamics of generalization error in neural networks Madhu S. Advani Andrew M. Saxe AI4CE 90 464 0 10 Oct 2017
A Deep Learning Model for Traffic Flow State Classification Based on Smart Phone Sensor Data Wenwen Tu Feng Xiao L. Fu Guangyuan Pan 25 3 0 26 Sep 2017
EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning Chao Zhao Jingchi Jiang Y. Guan 18 39 0 20 Sep 2017
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges Muhammad Usama Junaid Qadir Aunn Raza Hunain Arif K. Yau Y. Elkhatib Amir Hussain Ala I. Al-Fuqaha SSL 33 317 0 19 Sep 2017
How intelligent are convolutional neural networks? Zhennan Yan Xiangmin Zhou 17 11 0 18 Sep 2017
Feedforward and Recurrent Neural Networks Backward Propagation and Hessian in Matrix Form Maxim Naumov 26 9 0 16 Sep 2017
DeepFeat: A Bottom Up and Top Down Saliency Model Based on Deep Features of Convolutional Neural Nets Ali Mahdi Jun Qin FAtt 36 24 0 08 Sep 2017
Deep learning from crowds Filipe Rodrigues Francisco Câmara Pereira FedML NoLa 29 256 0 06 Sep 2017
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives A. Cichocki Anh-Huy Phan Qibin Zhao Namgil Lee Ivan Oseledets Masashi Sugiyama Danilo P. Mandic 34 296 0 30 Aug 2017
On the approximation by single hidden layer feedforward neural networks with fixed weights Namig J. Guliyev V. Ismailov MLT 11 114 0 21 Aug 2017
Boltzmann machines and energy-based models Takayuki Osogami 30 14 0 20 Aug 2017
General Backpropagation Algorithm for Training Second-order Neural Networks Fenglei Fan W. Cong Ge Wang 30 25 0 17 Aug 2017
Output Reachable Set Estimation and Verification for Multi-Layer Neural Networks Weiming Xiang Hoang-Dung Tran Taylor T. Johnson 88 293 0 09 Aug 2017
Training of Deep Neural Networks based on Distance Measures using RMSProp Thomas Kurbiel Shahrzad Khaleghian 30 72 0 06 Aug 2017
Optimized Broadcast for Deep Learning Workloads on Dense-GPU InfiniBand Clusters: MPI or NCCL? A. A. Awan Ching-Hsiang Chu Hari Subramoni D. Panda GNN 41 46 0 28 Jul 2017
Optimization Methods for Supervised Machine Learning: From Linear Models to Deep Learning Frank E. Curtis K. Scheinberg 39 45 0 30 Jun 2017
When Neurons Fail El-Mahdi El-Mhamdi R. Guerraoui 19 36 0 27 Jun 2017
Improving text classification with vectors of reduced precision Krzysztof Wróbel Maciej Wielgosz Marcin Pietroñ Michał Karwatowski Aleksander Smywiński-Pohl 31 6 0 20 Jun 2017
Teaching Compositionality to CNNs Austin Stone Hua-Yan Wang Michael Stark Yi Liu D. Phoenix Dileep George CoGe 16 54 0 14 Jun 2017
Transfer entropy-based feedback improves performance in artificial neural networks S. Herzog Christian Tetzlaff F. Worgotter 29 7 0 13 Jun 2017
Self-Normalizing Neural Networks Günter Klambauer Thomas Unterthiner Andreas Mayr Sepp Hochreiter 85 2,485 0 08 Jun 2017
Deep Learning: A Bayesian Perspective Nicholas G. Polson Vadim Sokolov BDL 41 115 0 01 Jun 2017
Discriminative k-shot learning using probabilistic models Matthias Bauer Mateo Rojas-Carulla J. Swiatkowski Bernhard Schölkopf Richard Turner VLM 20 71 0 01 Jun 2017
SuperSpike: Supervised learning in multi-layer spiking neural networks Friedemann Zenke Surya Ganguli 32 558 0 31 May 2017
ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI Yan Yang Jian Sun Huibin Li Zongben Xu MedIm 29 126 0 19 May 2017
Learning how to explain neural networks: PatternNet and PatternAttribution Pieter-Jan Kindermans Kristof T. Schütt Maximilian Alber K. Müller D. Erhan Been Kim Sven Dähne XAI FAtt 27 338 0 16 May 2017
Metaheuristic Design of Feedforward Neural Networks: A Review of Two Decades of Research Varun Ojha Ajith Abraham V. Snás̃el 15 491 0 16 May 2017
Phase recovery and holographic image reconstruction using deep learning in neural networks Y. Rivenson Yibo Zhang H. Gunaydin Da Teng Aydogan Ozcan 13 815 0 10 May 2017
ChineseFoodNet: A large-scale Image Dataset for Chinese Food Recognition Xin Chen Yu Zhu Huan Zhou Liang Diao Dongyan Wang 27 104 0 08 May 2017
Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks Rüdiger Ehlers 26 622 0 03 May 2017
Deep Learning in the Automotive Industry: Applications and Tools André Luckow M. Cook Nathan Ashcraft Edwin Weill Emil Djerekarov Bennie Vorster 22 116 0 30 Apr 2017
A New Type of Neurons for Machine Learning Fenglei Fan W. Cong Ge Wang 22 69 0 26 Apr 2017
Inception Recurrent Convolutional Neural Network for Object Recognition Md. Zahangir Alom Mahmudul Hasan C. Yakopcic T. Taha 39 86 0 25 Apr 2017
Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images L. Hou Vu Nguyen Dimitris Samaras Tahsin M. Kurc Yi Gao Tianhao Zhao Joel H. Saltz MedIm 35 143 0 03 Apr 2017
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games Peng Peng Ying Wen Yaodong Yang Quan Yuan Zhenkun Tang Haitao Long Jun Wang 35 333 0 29 Mar 2017
Classifying Symmetrical Differences and Temporal Change in Mammography Using Deep Neural Networks Thijs Kooi N. Karssemeijer 31 48 0 22 Mar 2017
SMILES Enumeration as Data Augmentation for Neural Network Modeling of Molecules E. Bjerrum 38 295 0 21 Mar 2017
Deep Reservoir Computing Using Cellular Automata Stefano Nichele Andreas Molund 19 27 0 08 Mar 2017
Deep Learning for Automated Quality Assessment of Color Fundus Images in Diabetic Retinopathy Screening Sajib Saha Basura Fernando Jorge A Cuadros D. Xiao Y. Kanagasingam MedIm 12 10 0 07 Mar 2017
Attentive Recurrent Comparators Pranav Shyam Shubham Gupta Ambedkar Dukkipati VLM 22 108 0 02 Mar 2017
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 254 1,787 0 02 Mar 2017