Deep Learning of Representations: Looking Forward

2 May 2013

Papers citing "Deep Learning of Representations: Looking Forward"

50 / 197 papers shown

Title
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference Thomas Verelst Tinne Tuytelaars 11 149 0 06 Dec 2019
Not All Attention Is Needed: Gated Attention Network for Sequence Data Lanqing Xue Xiaopeng Li N. Zhang 22 30 0 01 Dec 2019
Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization Yuchen Guo Nicholas Hanoian Zhexiao Lin Nicholas Liskij Hanbaek Lyu ... Jiahao Qu Henry Sojico Yuliang Wang Zhe Xiong Zhenhong Zou 11 2 0 01 Dec 2019
Enforcing Encoder-Decoder Modularity in Sequence-to-Sequence Models Siddharth Dalmia Abdel-rahman Mohamed M. Lewis Florian Metze Luke Zettlemoyer 9 10 0 09 Nov 2019
A Comparison of Neural Network Training Methods for Text Classification Anderson de Andrade 11 1 0 28 Oct 2019
Toward Metrics for Differentiating Out-of-Distribution Sets Mahdieh Abbasi Changjian Shui Arezoo Rajabi Christian Gagné R. Bobba OODD 20 4 0 18 Oct 2019
A Survey of Techniques All Classifiers Can Learn from Deep Networks: Models, Optimizations, and Regularization Alireza Ghods D. Cook 8 1 0 10 Sep 2019
PixelVAE++: Improved PixelVAE with Discrete Prior Hossein Sadeghi Evgeny Andriyash W. Vinci L. Buffoni Mohammad H. Amin BDL DRL 21 33 0 26 Aug 2019
Consistent Feature Construction with Constrained Genetic Programming for Experimental Physics Noëlie Cherrier Jean-Philippe Poli Maxime Defurne F. Sabatié AI4CE 15 13 0 17 Aug 2019
Batch-Shaping for Learning Conditional Channel Gated Networks B. Bejnordi Tijmen Blankevoort Max Welling AI4CE 20 76 0 15 Jul 2019
Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders Yin-Jyun Luo Kat R. Agres Dorien Herremans 14 46 0 19 Jun 2019
Human Activity Recognition with Convolutional Neural Netowrks Antonio Bevilacqua Kyle MacDonald Aamina Rangarej Venessa Widjaya Brian Caulfield Mohand Tahar Kechadi 11 96 0 05 Jun 2019
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends Saptarshi Sengupta Sanchita Basak P. Saikia Sayak Paul Vasilios Tsalavoutis Frederick Ditliac Atiah V. Ravi R. Peters AI4CE 32 324 0 30 May 2019
Deep Learning in Alzheimer's disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data T. Jo K. Nho A. Saykin 22 502 0 02 May 2019
Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey A. Yazdizadeh Zachary Patterson Bilal Farooq AI4TS 11 47 0 18 Apr 2019
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task Kenta Hama Takashi Matsubara K. Uehara Jianfei Cai BDL UQCV 18 6 0 09 Apr 2019
Performance-Efficiency Trade-off of Low-Precision Numerical Formats in Deep Neural Networks Zachariah Carmichael H. F. Langroudi Char Khazanov Jeffrey Lillie J. Gustafson Dhireesha Kudithipudi 13 55 0 25 Mar 2019
Few-Shot Learning-Based Human Activity Recognition Siwei Feng Marco F. Duarte 9 67 0 25 Mar 2019
Macro Action Reinforcement Learning with Sequence Disentanglement using Variational Autoencoder Heecheol Kim Masanori Yamada Kosuke Miyoshi Hiroshi Yamakawa DRL 8 6 0 22 Mar 2019
Interpretable Deep Learning in Drug Discovery Kristina Preuer G. Klambauer F. Rippmann Sepp Hochreiter Thomas Unterthiner 16 88 0 07 Mar 2019
Joint Perception and Control as Inference with an Object-based Implementation Minne Li Zheng Tian Pranav Nashikkar Ian Davies Ying Wen Jun Wang 22 2 0 04 Mar 2019
Evaluation of state representation methods in robot hand-eye coordination learning from demonstration Jun Jin Masood Dehghan Laura Petrich S. Lu Martin Jägersand 13 2 0 02 Mar 2019
The autofeat Python Library for Automated Feature Engineering and Selection F. Horn R. Pack M. Rieger 15 92 0 22 Jan 2019
A Survey of the Recent Architectures of Deep Convolutional Neural Networks Asifullah Khan A. Sohail Umme Zahoora Aqsa Saeed Qureshi OOD 41 2,268 0 17 Jan 2019
URNet : User-Resizable Residual Networks with Conditional Gating Module Sang-ho Lee Simyung Chang Nojun Kwak 13 11 0 15 Jan 2019
Channel selection using Gumbel Softmax Charles Herrmann Richard Strong Bowen Ramin Zabih 23 3 0 11 Dec 2018
Deep Positron: A Deep Neural Network Using the Posit Number System Zachariah Carmichael Seyed Hamed Fatemi Langroudi Char Khazanov Jeffrey Lillie J. Gustafson Dhireesha Kudithipudi MQ 9 96 0 05 Dec 2018
Deep Learning Application in Security and Privacy -- Theory and Practice: A Position Paper Julia A. Meister Raja Naeem Akram K. Markantonakis 16 0 0 01 Dec 2018
You Look Twice: GaterNet for Dynamic Filter Selection in CNNs Zhourong Chen Yang Li Samy Bengio Si Si 20 97 0 27 Nov 2018
Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview Lili Huang Jiefeng Peng Ruimao Zhang Guanbin Li Liang Lin VLM SSL SSeg 41 12 0 10 Oct 2018
MaskConnect: Connectivity Learning by Gradient Descent Karim Ahmed Lorenzo Torresani 19 48 0 28 Jul 2018
Discovering physical concepts with neural networks Raban Iten Tony Metger H. Wilming L. D. Rio R. Renner PINN AI4CE 11 384 0 26 Jul 2018
Conditional Information Gain Networks Ufuk Can Biçici Cem Keskin L. Akarun 9 9 0 25 Jul 2018
Recent Advances in Deep Learning: An Overview Matiur Rahman Minar Jibon Naher VLM 21 116 0 21 Jul 2018
Adaptive Neural Trees Ryutaro Tanno Kai Arulkumaran Daniel C. Alexander A. Criminisi A. Nori 19 165 0 17 Jul 2018
Neural Networks Regularization Through Representation Learning Soufiane Belharbi OOD SSL 30 2 0 13 Jul 2018
Convolutional Recurrent Neural Networks for Glucose Prediction Kezhi Li J. Daniels Chengyuan Liu P. Herrero Pantelis Georgiou BDL 11 215 0 09 Jul 2018
Learning Qualitatively Diverse and Interpretable Rules for Classification A. Ross Weiwei Pan Finale Doshi-Velez 16 13 0 22 Jun 2018
On the Learning of Deep Local Features for Robust Face Spoofing Detection G. Souza João Paulo Papa A. Marana CVBM 19 33 0 19 Jun 2018
Deep Generative Networks For Sequence Prediction Markus Beissinger AI4TS BDL GAN 17 2 0 18 Apr 2018
Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows Alok Singh E. Stephan M. Schram I. Altintas 20 2 0 17 Apr 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis Tal Ben-Nun Torsten Hoefler GNN 33 701 0 26 Feb 2018
AEkNN: An AutoEncoder kNN-based classifier with built-in dimensionality reduction F. Pulgar F. Charte Antonio J. Rivera M. J. D. Jesus 11 19 0 23 Feb 2018
Entity Retrieval and Text Mining for Online Reputation Monitoring Pedro Saleiro 16 1 0 23 Jan 2018
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review J. Bernal Kaisar Kushibar Daniel S. Asfaw Sergi Valverde A. Oliver Robert Martí Xavier Llado 22 349 0 11 Dec 2017
Learning to Adapt by Minimizing Discrepancy Alexander Ororbia P. Haffner David Reitter C. Lee Giles AI4TS 19 28 0 30 Nov 2017
BlockDrop: Dynamic Inference Paths in Residual Networks Zuxuan Wu Tushar Nagarajan Abhishek Kumar Steven J. Rennie L. Davis Kristen Grauman Rogerio Feris 26 462 0 22 Nov 2017
Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition Kaixuan Chen Lina Yao Tao Gu Zhiwen Yu Xianzhi Wang Dalin Zhang 33 3 0 21 Nov 2017
Reconstruction of Hidden Representation for Robust Feature Extraction Zeng Yu Tianrui Li Ning Yu Yi Pan Hongmei Chen Bing-Quan Liu 6 27 0 08 Oct 2017
Probabilistic Rule Realization and Selection Haizi Yu Tianxi Li L. Varshney 13 6 0 06 Sep 2017