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Science NestCategoriesComputer ScienceArtificial Intelligence
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Title Title
Date Date
  • A Constrained, Weighted-L1 Minimization Approach for Joint Discovery of Heterogeneous Neural Connectivity Graphs

    Beilun Wang, Chandan Singh, Yanjun Qi , arXiv 2017 9 ,  2017
    Multiple

    Free

  • A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias

    Eric V. Strobl , International Journal of Data Science and Analytics ,  2018
    R

    Free

  • A Content Transformation Block For Image Style Transfer

    Dmytro Kotovenko, Björn Ommer, Pingchuan Ma, Sabine Lang, Artsiom Sanakoyeu , CVPR 2019 6 ,  2020
    Unspecified

    Free

  • A context based deep learning approach for unbalanced medical image segmentation

    Vijaya Raghavan S, Sharath M Shankaranarayana, Keerthi Ram, Kaushik Sarveswaran, Mohanasankar Sivaprakasam, Balamurali Murugesan , Proceedings - International Symposium on Biomedical Imaging ,  2020
    Python

    Free

  • A context encoder for audio inpainting

    Piotr Majdak, Nathanaël Perraudin, Nicki Holighaus, Andrés Marafioti , IEEE/ACM Transactions on Audio Speech and Language Processing ,  2018
    Jupyter Notebook

    Free

  • A Context-Aware Approach for Detecting Worth-Checking Claims in Political Debates

    Alberto Barr{\'o}n-Cede{\~n}o, Pepa Gencheva, Preslav Nakov, Llu{\'\i}s M{\`a}rquez, Ivan Koychev , RANLP 2017 9 ,  2017
    Jupyter Notebook

    Free

  • A Context-Aware Citation Recommendation Model with BERT and Graph Convolutional Networks

    Hyuna Shin, Eunjeong Park, Chanwoo Jeong, Sion Jang, Sungchul Choi , Scientometrics ,  2019
    Python

    Free

  • A Context-Aware Loss Function for Action Spotting in Soccer Videos

    Marc Van Droogenbroeck, Rikke Gade, Anthony Cioppa, Silvio Giancola, Adrien Deliège, Bernard Ghanem, Thomas B. Moeslund , CVPR 2020 6 ,  2019
    Jupyter Notebook

    Free

  • A Context-aware Natural Language Generator for Dialogue Systems

    Filip Jurčíček, Ondřej Dušek , Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue ,  2016
    Python

    Free

  • A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking

    Fandong Meng, Yong Shan, Cheng Niu, Jinchao Zhang, Jie Zhou, Yang Feng, Zekang Li , ACL 2020 7 ,  2020
    Python

    Free

  • A Contextual-Bandit Approach to Personalized News Article Recommendation

    Robert E. Schapire, Wei Chu, John Langford, Lihong Li , Proceedings of the 19th International Conference on World Wide Web, WWW '10 ,  2010
    Multiple

    Free

  • A Contrastive Divergence for Combining Variational Inference and MCMC

    Francisco J. R. Ruiz, Michalis K. Titsias , 36th International Conference on Machine Learning, ICML 2019 ,  2019
    MATLAB

    Free

  • A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks

    Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang, Greg Yang, Hadi Salman , NeurIPS 2019 12 ,  2019
    Jupyter Notebook

    Free

  • A Convex Surrogate Operator for General Non-Modular Loss Functions

    Jiaqian Yu, Matthew Blaschko , Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, AISTATS 2016 ,  2016
    Matlab

    Free

  • A Convolution Kernel Approach to Identifying Comparisons in Text

    Hady Lauw, Maksim Tkachenko , IJCNLP 2015 7 ,  2015
    F#

    Free

  • A Convolutional Attention Network for Extreme Summarization of Source Code

    Miltiadis Allamanis, Charles Sutton, Hao Peng , 33rd International Conference on Machine Learning, ICML 2016 ,  2016
    Multiple

    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

  • A Convolutional Encoder Model for Neural Machine Translation

    Yann N. Dauphin, Michael Auli, Jonas Gehring, David Grangier , ACL 2017 7 ,  2016
    Multiple

    Free

  • A Convolutional Neural Network for Modelling Sentences

    Phil Blunsom, Edward Grefenstette, Nal Kalchbrenner , ACL 2014 6 ,  2014
    Jupyter Notebook

    Free

  • A Convolutional Neural Network Smartphone App for Real-Time Voice Activity Detection

    Abhishek Sehgal, Nasser Kehtarnavaz , IEEE Access 2018 2 ,  2018
    Jupyter Notebook

    Free

  • A Corpus for Multilingual Document Classification in Eight Languages

    Xian Li, Holger Schwenk , LREC 2018 5 ,  2018
    Multiple

    Free

  • A Corpus for Reasoning About Natural Language Grounded in Photographs

    Iris Zhang, Stephanie Zhou, Huajun Bai, Ally Zhang, Alane Suhr, Yoav Artzi , ACL 2019 7 ,  2018
    Python

    Free

  • A Corpus of Controlled Opinionated and Knowledgeable Movie Discussions for Training Neural Conversation Models

    David Schlangen, Fabian Galetzka, Chukwuemeka U. Eneh , LREC 2020 5 ,  2020
    Python

    Free

  • A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature

    Benjamin Nye, Junyi Jessy Li, Iain J. Marshall, Yinfei Yang, Byron C. Wallace, Roma Patel, Ani Nenkova , ACL 2018 7 ,  2018
    Multiple

    Free

  • A Correlation Based Feature Representation for First-Person Activity Recognition

    Alireza Talebpour, Reza Kahani, Ahmad Mahmoudi-Aznaveh , Multimedia Tools and Applications ,  2017
    MATLAB

    Free

  • A coupled autoencoder approach for multi-modal analysis of cell types

    Osnat Penn, Bosiljka Tasic, Agata Budzillo, Rohan Gala, Gabe Murphy, Uygar Sümbül, Hongkui Zeng, Nathan Gouwens, Zizhen Yao , NeurIPS 2019 12 ,  2019
    Jupyter Notebook

    Free

  • A Creative Dialog Generator for Fallout 4

    Mika Hämäläinen, Khalid Alnajjar , The 14th International Conference on the Foundations of Digital Games 2019 8 ,  2019
    Papyrus

    Free

  • A Cross-Architecture Instruction Embedding Model for Natural Language Processing-Inspired Binary Code Analysis

    Lannan Luo, Kimberly Redmond, Qiang Zeng , Proceedings 2019 Workshop on Binary Analysis Research ,  2018
    Python

    Free

  • A cross-center smoothness prior for variational Bayesian brain tissue segmentation

    Jens Petersen, Silas N. Ørting, Wouter M. Kouw, Marleen de Bruijne, Kim S. Pedersen , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2019
    Python

    Free

  • A Cross-Domain Transferable Neural Coherence Model

    Teng Long, Peng Xu, Yanshuai Cao, Hamidreza Saghir, Jin Sung Kang, Jackie Chi Kit Cheung, Avishek Joey Bose , ACL 2019 7 ,  2019
    Python

    Free

  • A Cross-Season Correspondence Dataset for Robust Semantic Segmentation

    Måns Larsson, Fredrik Kahl, Mark Pollefeys, Lars Hammarstrand, Erik Stenborg, Torsten Sattler , Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition ,  2019
    Python

    Free

  • A Crowd-Annotated Spanish Corpus for Humor Analysis

    Diego Garat, Guillermo Moncecchi, Santiago Castro, Luis Chiruzzo, Aiala Rosá , WS 2018 7 ,  2017
    Python

    Free

  • A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes

    Hassan Foroosh, Yang Zhang, Boqing Gong, Philip David , IEEE Transactions on Pattern Analysis and Machine Intelligence ,  2018
    Python

    Free

  • A data-driven approach to predict the success of bank telemarketing

    Paulo Cortez, Sérgio Moro, Paulo Rita , Decision Support Systems 2014 6 ,  2014
    Jupyter Notebook

    Free

  • A Data-Oriented Model of Literary Language

    Andreas van Cranenburgh, Rens Bod , EACL 2017 4 ,  2017
    Python

    Free

  • A Dataset and Architecture for Visual Reasoning with a Working Memory

    David Sussillo, Jonathon Shlens, Guangyu Robert Yang, Xiao-Jing Wang, Igor Ganichev , ECCV 2018 9 ,  2018
    Python

    Free

  • A Dataset and Baselines for Visual Question Answering on Art

    Chenhui Chu, Yuta Nakashima, Zihua Liu, Noa Garcia, Qingtao Hu, Teruko Mitamura, Chentao Ye, Mayu Otani , arXiv preprint ,  2020
    Python

    Free

  • A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing

    Stan Z. Li, Shifeng Zhang, Hailin Shi, Chenxu Zhao, Sergio Escalera, Jun Wan, Xiaobo Wang, Ajian Liu, Zezheng Wang , CVPR 2019 6 ,  2018
    Python

    Free

  • A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering

    Nicolas Ballas, Christopher Pal, Aaron Courville, Tegan Maharaj, Anna Rohrbach , CVPR 2017 7 ,  2016
    Multiple

    Free

  • A Dataset for Building Code-Mixed Goal Oriented Conversation Systems

    Siddhartha Arora, Nikita Moghe, Suman Banerjee, Mitesh M. Khapra , COLING 2018 8 ,  2018
    Python

    Free

  • A Dataset for Document Grounded Conversations

    Shrimai Prabhumoye, Alan W Black, Kangyan Zhou , EMNLP 2018 10 ,  2018
    Multiple

    Free

  • A Dataset for Noun Compositionality Detection for a Slavic Language

    Dmitry Puzyrev, Alex Panchenko, Artem Shelmanov, Ekaterina Artemova, er , WS 2019 8 ,  2019
    Python

    Free

  • A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering

    Benjamin Van Durme, Andrew Blair-Stanek, Nils Holzenberger , CEUR Workshop Proceedings ,  2020
    Python

    Free

  • A Dataset of German Legal Documents for Named Entity Recognition

    Georg Rehm, Julián Moreno-Schneider, Elena Leitner , LREC 2020 5 ,  2020
    Python

    Free

  • A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications

    Madeleine van Zuylen, Waleed Ammar, Roy Schwartz, Dongyeop Kang, Eduard Hovy, Bhavana Dalvi, Sebastian Kohlmeier , NAACL 2018 6 ,  2018
    Python

    Free

  • A Dataset To Evaluate The Representations Learned By Video Prediction Models

    German Ros, Simon Stent, Ryan Szeto, Jason J. Corso , 6th International Conference on Learning Representations, ICLR 2018 - Workshop Track Proceedings ,  2018
    Python

    Free

  • A Debiased MDI Feature Importance Measure for Random Forests

    Xiao Li, Bin Yu, Sumanta Basu, Yu Wang, Karl Kumbier , NeurIPS 2019 12 ,  2019
    R

    Free

  • A Decision-Theoretic Approach for Model Interpretability in Bayesian Framework

    Juho Piironen, Homayun Afrabandpey, Aki Vehtari, Samuel Kaski, Tomi Peltola , Machine Learning ,  2019
    Python

    Free

  • A Decomposable Attention Model for Natural Language Inference

    Oscar Täckström, Ankur P. Parikh, Jakob Uszkoreit, Dipanjan Das , EMNLP 2016 11 ,  2016
    Multiple

    Free

  • A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations

    Jun Xu, Xueqi Cheng, Yanyan Lan, Jiafeng Guo, Liang Pang, Shengxian Wan , 30th AAAI Conference on Artificial Intelligence, AAAI 2016 ,  2015
    Python

    Free

  • A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations

    Jun Xu, Xueqi Cheng, Yanyan Lan, Jiafeng Guo, Liang Pang, Shengxian Wan , arXiv preprint ,  2015
    Python

    Free

  • A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction

    Jo Schlemper, Daniel Rueckert, Jose Caballero, Joseph V. Hajnal, Anthony Price , IEEE Transactions on Medical Imaging ,  2017
    Multiple

    Free

  • A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction

    Jo Schlemper, Daniel Rueckert, Jose Caballero, Joseph V. Hajnal, Anthony Price , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2017
    Multiple

    Free

  • A Deep Dive into Adversarial Robustness in Zero-Shot Learning

    Mehmet Kerim Yucel, Pinar Duygulu, Ramazan Gokberk Cinbis , arXiv preprint ,  2020
    Python

    Free

  • A Deep Generative Model for Code-Switched Text

    Hussain Jagirdar, Sharmila Reddy, Niloy Ganguly, Bidisha Samanta, Soumen Chakrabarti , IJCAI International Joint Conference on Artificial Intelligence ,  2019
    Python

    Free

  • A Deep Generative Model for Graph Layout

    Oh-Hyun Kwon, Kwan-Liu Ma , IEEE Transactions on Visualization and Computer Graphics ,  2019
    Python

    Free

  • A Deep Journey into Super-resolution: A survey

    Nick Barnes, Saeed Anwar, Salman Khan , ACM Computing Surveys ,  2019
    Unspecified

    Free

  • A deep learning approach for automated detection of geographic atrophy from color fundus photographs

    Yifan Peng, Wai T. Wong, Tiarnan D. Keenan, Zhiyong Lu, Shazia Dharssi, Emily Y. Chew, Elvira Agrón, Qingyu Chen , Ophthalmology ,  2019
    Python

    Free

  • A Deep Learning Approach to Grasping the Invisible

    Yang Yang, Changhyun Choi, Hengyue Liang , IEEE Robotics and Automation Letters ,  2019
    Python

    Free

  • A Deep Learning Approach to Unsupervised Ensemble Learning

    Ariel Jaffe, Boaz Nadler, Yuval Kluger, Uri Shaham, Omer Dror, Xiuyuan Cheng, Joseph Chang , 33rd International Conference on Machine Learning, ICML 2016 ,  2016
    Matlab

    Free

  • A deep learning architecture to detect events in EEG signals during sleep

    Stanislas Chambon, Alexandre Gramfort, Pierrick J. Arnal, Valentin Thorey, Emmanuel Mignot , IEEE International Workshop on Machine Learning for Signal Processing, MLSP ,  2018
    Jupyter Notebook

    Free

  • A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images

    Christina Runow Stark, Eva Darai Ramqvist, Jiahao Lu, Joakim Lindblad, Nataša Sladoje, Jan-Michaél Hirsch , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2019
    Python

    Free

  • A Deep Learning Framework for Assessing Physical Rehabilitation Exercises

    M. Xian, Y. Liao, A. Vakanski , IEEE Transactions on Neural Systems and Rehabilitation Engineering ,  2019
    Jupyter Notebook

    Free

  • A Deep Learning System for Predicting Size and Fit in Fashion E-Commerce

    Yuen King Ho, Romain Guigoures, Abdul-Saboor Sheikh, Reza Shirvany, Evgenii Koriagin, Roland Vollgraf, Urs Bergmann , RecSys 2019 - 13th ACM Conference on Recommender Systems ,  2019
    Multiple

    Free

  • A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection

    Felix Nobis, Markus Lienkamp, Markus Weber, Maximilian Geisslinger, Johannes Betz , 2019 Sensor Data Fusion: Trends, Solutions, Applications (SDF) 2019 10 ,  2020
    Python

    Free

  • A Deep Multi-Level Network for Saliency Prediction

    Rita Cucchiara, Giuseppe Serra, Marcella Cornia, Lorenzo Baraldi , Proceedings - International Conference on Pattern Recognition ,  2016
    Python

    Free

  • A Deep Multimodal Approach for Cold-start Music Recommendation

    Xavier Serra, Sergio Oramas, Mohamed Sordo, Oriol Nieto , ACM International Conference Proceeding Series ,  2017
    Python

    Free

  • A Deep Neural Architecture for Sentence-level Sentiment Classification in Twitter Social Networking

    Huy Nguyen, Minh-Le Nguyen , Communications in Computer and Information Science ,  2017
    Unspecified

    Free

  • A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

    Yuncong Chen, Dongjin Song, Bo Zong, Chuxu Zhang, Nitesh V. Chawla, Wei Cheng, Jingchao Ni, Haifeng Chen, Xinyang Feng, Cristian Lumezanu , 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
    Multiple

    Free

  • A Deep Recurrent Survival Model for Unbiased Ranking

    Jun Wang, Jiarui Jin, Jian Xu, Weinan Zhang, Xiaoqiang Zhu, Kun Gai, Kan Ren, Yong Yu, Guorui Zhou, Yuchen Fang , Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval ,  2020
    Unspecified

    Free

  • A Deep Regression Architecture With Two-Stage Re-Initialization for High Performance Facial Landmark Detection

    Junliang Xing, Jiangjing Lv, Xiaohu Shao, Cheng Cheng, Xi Zhou , CVPR 2017 7 ,  2017
    C++

    Free

  • A Deep Reinforced Model for Abstractive Summarization

    Richard Socher, Romain Paulus, Caiming Xiong , ICLR 2018 1 ,  2017
    Multiple

    Free

  • A Deep Reinforcement Learning Approach for Global Routing

    Barnabas Poczos, Wentai Zhang, Haiguang Liao, Levent Burak Kara, Kenji Shimada, Xuliang Dong , Journal of Mechanical Design ,  2019
    Python

    Free

  • A Deep Relevance Matching Model for Ad-hoc Retrieval

    Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft , International Conference on Information and Knowledge Management, Proceedings ,  2017
    Multiple

    Free

  • A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues

    Zhouxing Shi, Minlie Huang , 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
    Multiple

    Free

  • A Deep Spatial Contextual Long-term Recurrent Convolutional Network for Saliency Detection

    Junwei Han, Nian Liu , IEEE Transactions on Image Processing ,  2016
    Jupyter Notebook

    Free

  • A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks

    Soujanya Poria, Prateek Vij, Devamanyu Hazarika, Erik Cambria , COLING 2016 12 ,  2016
    Jupyter Notebook

    Free

  • A Deeply-initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment

    Jose M. Buenaposada, Antonio Valdes, Roberto Valle, Luis Baumela , ECCV 2018 9 ,  2018
    C++

    Free

  • A Degeneracy Framework for Scalable Graph Autoencoders

    Viet Anh Tran, Michalis Vazirgiannis, Romain Hennequin, Guillaume Salha , Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence ,  2019
    Python

    Free

  • A Delay Metric for Video Object Detection: What Average Precision Fails to Tell

    Xiaodong Yang, William J. Dally, Huizi Mao , ICCV 2019 10 ,  2019
    Python

    Free

  • A Diagram Is Worth A Dozen Images

    Minjoon Seo, Mike Salvato, Eric Kolve, Hannaneh Hajishirzi, Ali Farhadi, Aniruddha Kembhavi , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2016
    Python

    Free

  • A Differentiable Recurrent Surface for Asynchronous Event-Based Data

    Matteo Matteucci, Marco Ciccone, Andrea Romanoni, Marco Cannici , ECCV 2020 8 ,  2020
    Python

    Free

  • A Differentially Private Kernel Two-Sample Test

    Mijung Park, Dino Sejdinovic, Ho Chung Leon Law, Anant Raj , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2018
    Python

    Free

  • A Dilated Inception Network for Visual Saliency Prediction

    Guosheng Lin, Sheng Yang, Qiuping Jiang, Weisi Lin , IEEE Transactions on Multimedia ,  2019
    Python

    Free

  • A Direct Approach to Robust Deep Learning Using Adversarial Networks

    Chun-Nam Yu, Huaxia Wang , ICLR 2019 5 ,  2019
    Python

    Free

  • A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering

    Hongyuan Zha, Hongteng Xu , NeurIPS 2017 12 ,  2017
    Matlab

    Free

  • A DIRT-T Approach to Unsupervised Domain Adaptation

    Stefano Ermon, Hung H. Bui, Rui Shu, Hirokazu Narui , ICLR 2018 1 ,  2018
    Multiple

    Free

  • A Discourse Signal Annotation System for RST Trees

    Amir Zeldes, Luke Gessler, Yang Liu , WS 2019 6 ,  2019
    Python

    Free

  • A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents

    Trung Bui, Doo Soon Kim, Seokhwan Kim, Nazli Goharian, Walter Chang, Franck Dernoncourt, Arman Cohan , NAACL 2018 6 ,  2018
    Multiple

    Free

  • A Discrete and Bounded Envy-Free Cake Cutting Protocol for Any Number of Agents

    Haris Aziz, Simon Mackenzie , 2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS) ,  2016
    JavaScript

    Free

  • A Discrete Hard EM Approach for Weakly Supervised Question Answering

    Sewon Min, Danqi Chen, Luke Zettlemoyer, Hannaneh Hajishirzi , IJCNLP 2019 11 ,  2019
    Python

    Free

  • A Discriminative Event Based Model for Alzheimer's Disease Progression Modeling

    Vikram Venkatraghavan, Stefan Klein, Wiro Niessen, Esther Bron , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2017
    Jupyter Notebook

    Free

  • A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning

    Simon Kamronn, Ole Winther, Marco Fraccaro, Ulrich Paquet , NeurIPS 2017 12 ,  2017
    Python

    Free

  • A Disentangling Invertible Interpretation Network for Explaining Latent Representations

    Björn Ommer, Patrick Esser, Robin Rombach , CVPR 2020 6 ,  2020
    Python

    Free

  • A Distance for HMMs based on Aggregated Wasserstein Metric and State Registration

    Yukun Chen, Jia Li, Jianbo Ye , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2016
    Matlab

    Free

  • A Distributed Fair Machine Learning Framework with Private Demographic Data Protection

    Chao Lan, Yijun Liu, Zhen Wang, Hui Hu , 2019 IEEE International Conference on Data Mining (ICDM) ,  2019
    MATLAB

    Free

  • A Distributed Frank-Wolfe Framework for Learning Low-Rank Matrices with the Trace Norm

    Aurélien Bellet, Patrick Gallinari, Wenjie Zheng , Machine Learning ,  2017
    HTML

    Free

  • A Distributed Hybrid Community Detection Methodology for Social Networks

    Georgios Pispirigos, Christos Makris, Konstantinos Georgiou , Algorithms 2019 8 ,  2019
    Python

    Free

  • A Distributional Perspective on Reinforcement Learning

    Marc G. Bellemare, Rémi Munos, Will Dabney , ICML 2017 8 ,  2017
    Multiple

    Free

  • A Diversity-Promoting Objective Function for Neural Conversation Models

    Jianfeng Gao, Michel Galley, Bill Dolan, Chris Brockett, Jiwei Li , NAACL 2016 6 ,  2015
    Multiple

    Free

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