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  • Safe Grid Search with Optimal Complexity

    Joseph Salmon, Tam Le, Olivier Fercoq, Ichiro Takeuchi, Eugene Ndiaye , 36th International Conference on Machine Learning, ICML 2019 ,  2018
    Python

    Free

  • Learning Task-specific Representation for Novel Words in Sequence Labeling

    Xuanjing Huang, Qi Zhang, Tao Gui, Xiaoyu Xing, Jinlan Fu, Minlong Peng , IJCAI International Joint Conference on Artificial Intelligence ,  2019
    Unspecified

    Free

  • A High-Performance CNN Method for Offline Handwritten Chinese Character Recognition and Visualization

    Pavlo Melnyk, Zhiqiang You, Keqin Li , Soft Computing ,  2018
    Python

    Free

  • CNN based Road User Detection using the 3D Radar Cube

    Andras Palffy, Julian F. P. Kooij, Jiaao Dong, Dariu M. Gavrila , IEEE Robotics and Automation Letters ,  2020
    Python

    Free

  • Self-supervised Learning for Video Correspondence Flow

    Zihang Lai, Weidi Xie , 30th British Machine Vision Conference 2019, BMVC 2019 ,  2019
    Python

    Free

  • Multi-column Deep Neural Networks for Image Classification

    Dan Cireşan, Ueli Meier, Juergen Schmidhuber , Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition ,  2012
    C++

    Free

  • Optimal Auctions through Deep Learning

    Harikrishna Narasimhan, Paul Dütting, Zhe Feng, David C. Parkes, Sai Srivatsa Ravindranath , 36th International Conference on Machine Learning, ICML 2019 ,  2017
    Jupyter Notebook

    Free

  • Deep Learning How to Fit an Intravoxel Incoherent Motion Model to Diffusion-Weighted MRI

    Oliver J. Gurney-Champion, Remy Klaassen, Sebastiano Barbieri, Harriet C. Thoeny , Magnetic Resonance in Medicine ,  2019
    Jupyter Notebook

    Free

  • SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition

    Yi Jiang, Zehao Huang, Yuntao Chen, Yanghao Li, Naiyan Wang, Zhaoxiang Zhang, Chenxia Han , Journal of Machine Learning Research ,  2019
    Python

    Free

  • Improved training of neural trans-dimensional random field language models with dynamic noise-contrastive estimation

    Bin Wang, Zhijian Ou , 2018 IEEE Spoken Language Technology Workshop, SLT 2018 - Proceedings ,  2018
    Python

    Free

  • Word Similarity Datasets for Thai: Construction and Evaluation

    Aleksei Pulich, Ponrudee Netisopakul, Gerhard Wohlgenannt , IEEE Access ,  2019
    Unspecified

    Free

  • Analyzing Cloud Optical Properties Using Sky Cameras

    Yee Hui Lee, Yu Song Meng, Soumyabrata Dev, Shilpa Manandhar , Progress in Electromagnetics Research Symposium ,  2017
    Jupyter Notebook

    Free

  • The Gaussian Process Autoregressive Regression Model (GPAR)

    Richard E. Turner, Will Tebbutt, Wessel Bruinsma, James Requeima , AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics ,  2018
    Python

    Free

  • Zero-Shot Detection

    Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama , IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops ,  2018
    Python

    Free

  • In2I Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks

    Vishal M. Patel, Mahdi Abavisani, Pramuditha Perera , Proceedings - International Conference on Pattern Recognition ,  2017
    Python

    Free

  • Granger-causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks

    Djordje Miladinovic, Walter Karlen, Patrick Schwab , 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019 ,  2018
    Python

    Free

  • Concolic Testing for Deep Neural Networks

    Marta Kwiatkowska, Daniel Kroening, Youcheng Sun, Xiaowei Huang, Min Wu, Wenjie Ruan , ASE 2018 - Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering ,  2018
    Python

    Free

  • DeepInf: Social Influence Prediction with Deep Learning

    Hao Ma, Kuansan Wang, Jie Tang, Jian Tang, Jiezhong Qiu, Yuxiao Dong , Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ,  2018
    Python

    Free

  • A New Benchmark and Progress Toward Improved Weakly Supervised Learning

    Russ Webb, Jason Ramapuram , British Machine Vision Conference 2018, BMVC 2018 ,  2018
    Python

    Free

  • Learning to Acquire Information

    Leslie P Kaelbling, Yewen Pu, Armando Solar-Lezama , Uncertainty in Artificial Intelligence - Proceedings of the 33rd Conference, UAI 2017 ,  2017
    Python

    Free

  • Recursive Partitioning for Heterogeneous Causal Effects

    Guido Imbens, Susan Athey , Proceedings of the National Academy of Sciences of the United States of America ,  2015
    C

    Free

  • Rotation Invariant Householder Parameterization for Bayesian PCA

    Nils Bertschinger, Rajbir S. Nirwan , 36th International Conference on Machine Learning, ICML 2019 ,  2019
    Jupyter Notebook

    Free

  • A Hybrid Frequency-domain/Image-domain Deep Network for Magnetic Resonance Image Reconstruction

    Richard Frayne, Roberto Souza , Proceedings - 32nd Conference on Graphics, Patterns and Images, SIBGRAPI 2019 ,  2018
    Jupyter Notebook

    Free

  • Large scale evaluation of local image feature detectors on homography datasets

    Andrea Vedaldi, Karel Lenc , British Machine Vision Conference 2018, BMVC 2018 ,  2018
    MATLAB

    Free

  • Compact Convolutional Neural Network Cascade for Face Detection

    Ilya Kalinovskii, Vladimir Spitsyn , CEUR Workshop Proceedings ,  2015
    C++

    Free

  • Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection

    Heikki Huttunen, Tuomas Virtanen, Giambattista Parascandolo, Toni Heittola, Emre Çakır , IEEE/ACM Transactions on Audio Speech and Language Processing ,  2017
    Python

    Free

  • Ink removal from histopathology whole slide images by combining classification, detection and image generation models

    Sharib Ali, Jens Rittscher, Clare Verrill, Nasullah Khalid Alham , Proceedings - International Symposium on Biomedical Imaging ,  2019
    Python

    Free

  • Layouts from Panoramic Images with Geometry and Deep Learning

    Gonzalo Lopez-Nicolas, Jose J. Guerrero, Alejandro Perez-Yus, Clara Fernandez-Labrador , IEEE Robotics and Automation Letters ,  2018
    Jupyter Notebook

    Free

  • Statistical Inference using the Morse-Smale Complex

    Larry Wasserman, Yen-Chi Chen, Christopher R. Genovese , Electronic Journal of Statistics ,  2015
    R

    Free

  • Knowledge-based Transfer Learning Explanation

    Freddy Lecue, Ian Horrocks, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen , Principles of Knowledge Representation and Reasoning Proceedings of the 16th International Conference, KR 2018 ,  2018
    Python

    Free

  • Unbiased Implicit Variational Inference

    Francisco J. R. Ruiz, Michalis K. Titsias , AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics ,  2018
    MATLAB

    Free

  • Multimodal Sentiment Analysis using Hierarchical Fusion with Context Modeling

    D. Hazarika, S. Poria, A. Gelbukh, N. Majumder, E. Cambria , Knowledge-Based Systems ,  2018
    Python

    Free

  • Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco

    Pascal Kerschke , Studies in Classification, Data Analysis, and Knowledge Organization ,  2017
    R

    Free

  • Easy over Hard: A Case Study on Deep Learning

    Tim Menzies, Wei Fu , Proceedings of the ACM SIGSOFT Symposium on the Foundations of Software Engineering ,  2017
    Python

    Free

  • Deep Reinforcement Learning for Multi-Domain Dialogue Systems

    Heriberto Cuayáhuitl, Seunghak Yu, Ashley Williamson, Jacob Carse , Proceedings of the International Joint Conference on Neural Networks ,  2016
    JavaScript

    Free

  • Tangent-Space Gradient Optimization of Tensor Network for Machine Learning

    Zheng-zhi Sun, Gang Su, Shi-ju Ran , Physical Review E ,  2020
    Python

    Free

  • Feature-Fused SSD: Fast Detection for Small Objects

    Wenzhe Yang, Xuemei Xie, Jinjian Wu, Guangming Shi, Guimei Cao, Quan Liao , Proceedings of SPIE - The International Society for Optical Engineering ,  2017
    Unspecified

    Free

  • Political Popularity Analysis in Social Media

    Amir Karami, Aida Elkouri , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2018
    Unspecified

    Free

  • Unrestricted Adversarial Examples

    Chiyuan Zhang, Tom B. Brown, Ian Goodfellow, Nicholas Carlini, Catherine Olsson, Paul Christiano , CEUR Workshop Proceedings ,  2018
    Python

    Free

  • Weakly-Supervised Neural Text Classification

    Yu Meng, Chao Zhang, Jiaming Shen, Jiawei Han , International Conference on Information and Knowledge Management, Proceedings ,  2018
    Python

    Free

  • Hierarchically Structured Meta-learning

    Zhenhui Li, Huaxiu Yao, Junzhou Huang, Ying Wei , 36th International Conference on Machine Learning, ICML 2019 ,  2019
    Python

    Free

  • CAS-CNN: A Deep Convolutional Neural Network for Image Compression Artifact Suppression

    Luca Benini, Lukas Cavigelli, Pascal Hager , Proceedings of the International Joint Conference on Neural Networks ,  2016
    Python

    Free

  • Sensitivity Analysis of Deep Neural Networks

    Hongtu Zhu, Hai Shu , 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019 ,  2019
    Python

    Free

  • Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers

    Tianyun Zhang, Yanzhi Wang, Makan Fardad, Yipeng Zhang, Shaokai Ye , 6th International Conference on Learning Representations, ICLR 2018 - Workshop Track Proceedings ,  2018
    Python

    Free

  • Long-term Blood Pressure Prediction with Deep Recurrent Neural Networks

    Fen Miao, Ni Zhao, Xiao-Rong Ding, Yuan-Ting Zhang, Jing Liu, Peng Su , 2018 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2018 ,  2017
    Python

    Free

  • Dependent Multinomial Models Made Easy Stick Breaking with the Pólya-Gamma Augmentation

    Matthew J. Johnson, Scott W. Linderman, Ryan P. Adams , Advances in Neural Information Processing Systems ,  2015
    Python

    Free

  • Stochastic Pooling for Regularization of Deep Convolutional Neural Networks

    Matthew D. Zeiler, Rob Fergus , 1st International Conference on Learning Representations, ICLR 2013 - Conference Track Proceedings ,  2013
    Lua

    Free

  • A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection

    Zhaowei Cai, Rogerio S. Feris, Nuno Vasconcelos, Quanfu Fan , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2016
    C++

    Free

  • Pycobra: A Python Toolbox for Ensemble Learning and Visualisation

    Benjamin Guedj, Bhargav Srinivasa Desikan , Journal of Machine Learning Research ,  2017
    Python

    Free

  • Unsupervised Context-Sensitive Spelling Correction of English and Dutch Clinical Free-Text with Word and Character N-Gram Embeddings

    Walter Daelemans, Simon Šuster, Pieter Fivez , Computational Linguistics in the Netherlands Journal ,  2017
    Python

    Free

  • Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem

    Kevin Tierney, André Hottung , Frontiers in Artificial Intelligence and Applications ,  2019
    Python

    Free

  • Embedding Vector Differences Can Be Aligned With Uncertain Intensional Logic Differences

    Man Hin Leung, Abdulrahman Semrie, Nil Geisweiller, Debbie Duong, Matthew Ikle', Mike Duncan, Ben Goertzel, Hedra Seid , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2020
    Scheme

    Free

  • Spatio-Temporal Data Mining: A Survey of Problems and Methods

    Gowtham Atluri, Vipin Kumar, Anuj Karpatne , ACM Computing Surveys ,  2017
    Jupyter Notebook

    Free

  • Learning to Search Better Than Your Teacher

    Alekh Agarwal, Hal Daumé III, Akshay Krishnamurthy, John Langford, Kai-Wei Chang , 32nd International Conference on Machine Learning, ICML 2015 ,  2015
    Unspecified

    Free

  • Deep Compressed Sensing

    Mihaela Rosca, Timothy Lillicrap, Yan Wu , Sensors (Switzerland) ,  2019
    Unspecified

    Free

  • On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations

    Rui Henriques, Enrique Romero, David Calhas , Artificial Intelligence in Medicine ,  2019
    Python

    Free

  • Precise Recovery of Latent Vectors from Generative Adversarial Networks

    Zachary C. Lipton, Subarna Tripathi , 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings ,  2017
    Python

    Free

  • Lumos: A Library for Diagnosing Metric Regressions in Web-Scale Applications

    Ross Cutler, Jamie Pool, Jayant Gupchup, Ebrahim Beyrami, Jeff Rowland, Johannes Gehrke, Vishak Gopal, Ashkan Aazami, Pritesh Kanani, Binlong Li , Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ,  2020
    Python

    Free

  • Intelligent Active Queue Management Using Explicit Congestion Notification

    Xianbin Wang, Abdallah Shami, Cesar A. Gomez , 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings ,  2019
    Python

    Free

  • Quantitative Fine-Grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian

    Víctor M. Sánchez-Cartagena, Antonio Toral, Filip Klubička , Machine Translation ,  2018
    Python

    Free

  • Bayesian Joint Spike-and-Slab Graphical Lasso

    Tyler H. McCormick, Samuel J. Clark, Zehang Richard Li , 36th International Conference on Machine Learning, ICML 2019 ,  2018
    R

    Free

  • Adding vs. Averaging in Distributed Primal-Dual Optimization

    Virginia Smith, Chenxin Ma, Martin Takáč, Michael I. Jordan, Peter Richtárik, Martin Jaggi , 32nd International Conference on Machine Learning, ICML 2015 ,  2015
    Scala

    Free

  • A Self-Attentive model for Knowledge Tracing

    Shalini Pandey, George Karypis , EDM 2019 - Proceedings of the 12th International Conference on Educational Data Mining ,  2019
    Python

    Free

  • Anomaly Detection in Video Sequence with Appearance-Motion Correspondence

    Jean Meunier, Trong Nguyen Nguyen , Proceedings of the IEEE International Conference on Computer Vision ,  2019
    Python

    Free

  • Object Detection based on Region Decomposition and Assembly

    Seung-Hwan Bae , 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019 ,  2019
    Unspecified

    Free

  • Spatial Graph Convolutional Networks

    Marek Śmieja, Jacek Tabor, Łukasz Maziarka, Agnieszka Słowik, Łukasz Struski, Przemysław Spurek, Tomasz Danel , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2019
    Python

    Free

  • Effects of sampling skewness of the importance-weighted risk estimator on model selection

    Marco Loog, Wouter M. Kouw , Proceedings - International Conference on Pattern Recognition ,  2018
    MATLAB

    Free

  • O-MedAL: Online Active Deep Learning for Medical Image Analysis

    Adrian Galdran, Mostafa Mirshekari, Hae Young Noh, Jonathon Fagert, Asim Smailagic, Alex Gaudio, Pedro Costa, Devesh Walawalkar, Aurélio Campilho, Kartik Khandelwal, Pei Zhang, Susu Xu , Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery ,  2019
    Python

    Free

  • Learning to Guide Decoding for Image Captioning

    Wenhao Jiang, Hanwang Zhang, Xinpeng Chen, Wei Liu, Lin Ma , 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 ,  2018
    Unspecified

    Free

  • STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting

    Xianzhi Wang, Lei Bai, Lina Yao, Salil. S Kanhere, Quan. Z Sheng , IJCAI International Joint Conference on Artificial Intelligence ,  2019
    Python

    Free

  • SAT Heritage: a community-driven effort for archiving, building and running more than thousand SAT solvers

    Laurent Simon, Gilles Audemard, Loïc Paulevé , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2020
    Python

    Free

  • Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction

    Qiang Yang, Yangqiu Song, Wenyi Xiao, Vincent W. Zheng, Huan Zhao, Haojie Pan , Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ,  2019
    Python

    Free

  • Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks

    Roberto Paredes, Daniel Ramos, Juan Maroñas , Neurocomputing ,  2019
    Python

    Free

  • Improved Fitness-Dependent Optimizer Algorithm

    Danial A. Muhammed, Soran AM. Saeed, Tarik A. Rashid , IEEE Access ,  2020
    Java

    Free

  • Self Paced Deep Learning for Weakly Supervised Object Detection

    Dubravko Culibrk, Moin Nabi, Nicu Sebe, Enver Sangineto , IEEE Transactions on Pattern Analysis and Machine Intelligence ,  2016
    Jupyter Notebook

    Free

  • BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits

    Ruben Martinez-Cantin , Journal of Machine Learning Research ,  2014
    C++

    Free

  • Deep Multi-Center Learning for Face Alignment

    Zhiwen Shao, Hengliang Zhu, Lizhuang Ma, Xin Tan, Yangyang Hao , Neurocomputing ,  2018
    C++

    Free

  • Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation

    Benjamin Lecouteux, Didier Schwab, Loïc Vial , Proceedings of the 10th Global WordNet Conference ,  2019
    Python

    Free

  • Optimising Trotter-Suzuki Decompositions for Quantum Simulation Using Evolutionary Strategies

    Benjamin D. M. Jones, George O. O'Brien, John A. Clark, David R. White, Earl T. Campbell , GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference ,  2019
    Python

    Free

  • DAC: Data-free Automatic Acceleration of Convolutional Networks

    Bolan Jiang, Ning Bi, Mooi Choo Chuah, Shuai Zhang, Yingyong Qi, Xin Li , Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019 ,  2018
    Python

    Free

  • Learning Free-Form Deformations for 3D Object Reconstruction

    Jhony K. Pontes, Dominic Jack, Clinton Fookes, Frederic Maire, Sridha Sridharan, Sareh Shirazi, Anders Eriksson , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2018
    Python

    Free

  • Image classification and retrieval with random depthwise signed convolutional neural networks

    Yunzhe Xue, Usman Roshan , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2018
    Python

    Free

  • Learning image-to-image translation using paired and unpaired training samples

    Esa Rahtu, Soumya Tripathy, Juho Kannala , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2018
    Python

    Free

  • Knowledge-based Analysis for Mortality Prediction from CT Images

    Hengtao Guo, Uwe Kruger, Mannudeep K. Kalra, Pingkun Yan, Ge Wang , IEEE Journal of Biomedical and Health Informatics ,  2019
    Python

    Free

  • Shape and Spatially-Varying Reflectance Estimation From Virtual Exemplars

    Zhuo Hui, Aswin C Sankaranarayanan , IEEE Transactions on Pattern Analysis and Machine Intelligence ,  2015
    MATLAB

    Free

  • A Kernel Independence Test for Random Processes

    Kacper Chwialkowski, Arthur Gretton , 31st International Conference on Machine Learning, ICML 2014 ,  2014
    Matlab

    Free

  • Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening

    Jian Peng, Frank S. He, Yang Liu, Alexander G. Schwing , 5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings ,  2016
    Python

    Free

  • CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling

    Yu Zhou, Zhiqiu Huang, Senzhang Wang, Yasir Hussain , Information and Software Technology ,  2019
    Unspecified

    Free

  • Domain-Specific Face Synthesis for Video Face Recognition from a Single Sample Per Person

    Guillaume-Alexandre Bilodeau, Eric Granger, Fania Mokhayeri , IEEE Transactions on Information Forensics and Security ,  2018
    MATLAB

    Free

  • Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders

    Joris M. Mooij, Patrick Forré , 34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018 ,  2018
    Jupyter Notebook

    Free

  • DopeLearning: A Computational Approach to Rap Lyrics Generation

    Tapani Raiko, Aristides Gionis, Pyry Takala, Eric Malmi, Hannu Toivonen , Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ,  2015
    Python

    Free

  • Clonability of anti-counterfeiting printable graphical codes: a machine learning approach

    Slava Voloshynovskiy, Olga Taran, Slavi Bonev , ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings ,  2019
    Python

    Free

  • Glioma Segmentation with Cascaded Unet

    Vadim Turlapov, Dmitry Lachinov, Evgeny Vasiliev , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2018
    Python

    Free

  • Unsupervised Anomaly Localization using Variational Auto-Encoders

    Fabian Isensee, Simon Kohl, David Zimmerer, Klaus Maier-Hein, Jens Petersen , Informatik aktuell ,  2019
    Python

    Free

  • Fast Perceptual Image Enhancement

    Radu Timofte, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Andrey Ignatov , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2018
    Python

    Free

  • A Convolutional Autoencoder Approach to Learn Volumetric Shape Representations for Brain Structures

    Evan M. Yu, Mert R. Sabuncu , Proceedings - International Symposium on Biomedical Imaging ,  2018
    Python

    Free

  • Response Selection with Topic Clues for Retrieval-based Chatbots

    Zhoujun Li, Ming Zhou, Yu Wu, Wei Wu , Neurocomputing ,  2016
    Python

    Free

  • LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation

    Devi Parikh, Anitha Kannan, Dhruv Batra, Jianwei Yang , 5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings ,  2017
    Python

    Free

  • Dynamic Time-Aware Attention to Speaker Roles and Contexts for Spoken Language Understanding

    Yun-Nung Chen, Shang-Yu Su, Po-Chun Chen, Ta-Chung Chi , 2017 IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2017 - Proceedings ,  2017
    Python

    Free

  • Cost-Sensitive Label Embedding for Multi-Label Classification

    Hsuan-Tien Lin, Kuan-Hao Huang , Machine Learning ,  2016
    Logos

    Free

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