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  • PAC-Bayes Control: Learning Policies that Provably Generalize to Novel Environments

    Anoopkumar Sonar, Alec Farid, Anirudha Majumdar , International Journal of Robotics Research ,  2018
    Python

    Free

  • CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy Learning

    Michael Milford, Marvin Chancán , Proceedings - IEEE International Conference on Robotics and Automation ,  2019
    C#

    Free

  • Roof material classification from aerial imagery

    Roman Solovyev , Optical Memory and Neural Networks (Information Optics) ,  2020
    Python

    Free

  • Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks

    Alexander Tuzhilin, Evgeny Frolov, Valentin Khrulkov, Leyla Mirvakhabova, Ivan Oseledets , RecSys 2020 - 14th ACM Conference on Recommender Systems ,  2020
    Python

    Free

  • Self-Attention for Raw Optical Satellite Time Series Classification

    Marc Rußwurm, Marco Körner , ISPRS Journal of Photogrammetry and Remote Sensing ,  2019
    Jupyter Notebook

    Free

  • Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations

    Mike E. Davies, Dongdong Chen, Mohammad Golbabaee , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2020
    Python

    Free

  • FibeR-CNN: Expanding Mask R-CNN to Improve Image-Based Fiber Analysis

    Max Frei, Frank Einar Kruis , Powder Technology ,  2020
    Python

    Free

  • Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification

    Quande Liu, Qi Dou, Zhao Wang , IEEE journal of biomedical and health informatics ,  2020
    Python

    Free

  • ACNet: Attention Based Network to Exploit Complementary Features for RGBD Semantic Segmentation

    Kaiwei Wang, Kailun Yang, Lei Fei, Xinxin Hu , Proceedings - International Conference on Image Processing, ICIP ,  2019
    Python

    Free

  • The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models

    Matthew Loper, Sebastian Nowozin, Varun Jampani, Peter V. Gehler , Computer Vision and Image Understanding ,  2014
    C++

    Free

  • Deep Neural Network Architectures for Modulation Classification

    Aly El Gamal, Xiaoyu Liu, Diyu Yang , Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017 ,  2017
    Python

    Free

  • Deep Learning Based Speed Estimation for Constraining Strapdown Inertial Navigation on Smartphones

    Santiago Cortés, Arno Solin, Juho Kannala , IEEE International Workshop on Machine Learning for Signal Processing, MLSP ,  2018
    Python

    Free

  • Revisiting Anchor Mechanisms for Temporal Action Localization

    Houwen Peng, Dingwen Zhang, Le Yang, Junwei Han, Jianlong Fu , arXiv preprint ,  2020
    Python

    Free

  • Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation

    Yun-Zhu Song, Lun-Wei Ku, Sung-Lin Yeh, Hong-Han Shuai, Yi-Lun Wu, Wen-Chih Peng , arXiv preprint ,  2020
    Python

    Free

  • SoccerDB: A Large-Scale Database for Comprehensive Video Understanding

    Leilei Chen, Kaixu Cui, Yudong Jiang, Canjin Wang, Changliang Xu , arXiv preprint ,  2019
    Python

    Free

  • CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network

    Zehong Cao, Weiping Ding, Beihao Xia, Wenjie Wang, Shiming Chen, Xinge You , arXiv preprint ,  2020
    Unspecified

    Free

  • FANG: Leveraging Social Context for Fake News Detection Using Graph Representation

    Van-Hoang Nguyen, Kazunari Sugiyama, Min-Yen Kan, Preslav Nakov , arXiv preprint ,  2020
    Python

    Free

  • A Review of Single-Source Deep Unsupervised Visual Domain Adaptation

    Joseph E. Gonzalez, Sanjit A. Seshia, Xiangyu Yue, Ravi Krishna, Alberto L. Sangiovanni-Vincentelli, Bichen Wu, Han Zhao, Bo Li, Shanghang Zhang, Sicheng Zhao, Kurt Keutzer , arXiv preprint ,  2020
    Python

    Free

  • Unsupervised Domain Adaptation with Progressive Adaptation of Subspaces

    Songcan Chen, Weikai Li , arXiv preprint ,  2020
    MATLAB

    Free

  • GIF: Generative Interpretable Faces

    Michael Black, Pravir Singh Gupta, Roy Uziel, Anurag Ranjan, Partha Ghosh, Timo Bolkart , arXiv preprint ,  2020
    Unspecified

    Free

  • Multi-Attention Based Ultra Lightweight Image Super-Resolution

    Abdul Muqeet, Jiwon Hwang, Yongwoo Kim, Sung-Ho Bae, Jung Heum Kang, Subin Yang , arXiv preprint ,  2020
    Unspecified

    Free

  • Multilingual Denoising Pre-training for Neural Machine Translation

    Marjan Ghazvininejad, Jiatao Gu, Xian Li, Yinhan Liu, Sergey Edunov, Luke Zettlemoyer, Naman Goyal, Mike Lewis , arXiv preprint ,  2020
    Python

    Free

  • DeepJSCC-f: Deep Joint Source-Channel Coding of Images with Feedback

    David Burth Kurka, Deniz Gündüz , arXiv preprint ,  2019
    Python

    Free

  • Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model

    Pheng-Ann Heng, Lequan Yu, Xiaomeng Li, Hao Chen, Chi-Wing Fu , arXiv preprint ,  2018
    Jupyter Notebook

    Free

  • Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies

    Tobias Hepp, Fritz Schick, Hans-Ulrich Häring, Jürgen Machann, Andreas Fritsche, Thomas Küstner, Konstantin Nikolaou, Marc Fischer, Martin Schwartz, Fabian Bamberg, Bin Yang, Sergios Gatidis , arXiv preprint ,  2020
    Python

    Free

  • Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition

    Ho Seong Lee, Taeoh Kim, Hyeongmin Lee, Sangyoun Lee, MyeongAh Cho, Dong Heon Cho , arXiv preprint ,  2020
    Python

    Free

  • MLJ: A Julia package for composable Machine Learning

    Yiannis Simillides, Thibaut Lienart, Sebastian J. Vollmer, Anthony D. Blaom, Diego Arenas, Franz Kiraly , arXiv preprint ,  2020
    Jupyter Notebook

    Free

  • Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples

    Ninghui Li, Bruno Ribeiro, Sze Yiu Chau, Huangyi Ge , arXiv preprint ,  2018
    Python

    Free

  • What they do when in doubt: a study of inductive biases in seq2seq learners

    Rahma Chaabouni, Eugene Kharitonov , arXiv preprint ,  2020
    Python

    Free

  • Classification with Valid and Adaptive Coverage

    Yaniv Romano, Emmanuel J. Candès, Matteo Sesia , arXiv preprint ,  2020
    Python

    Free

  • Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting

    Xianzhi Wang, Can Li, Lei Bai, Lina Yao, Can Wang , arXiv preprint ,  2020
    Python

    Free

  • Unsupervised Learning of Particle Image Velocimetry

    Mingrui Zhang, Matthew D. Piggott , arXiv preprint ,  2020
    Python

    Free

  • Deep Embedded Multi-view Clustering with Collaborative Training

    Jie Xu, Yazhou Ren, Lili Pan, Guofeng Li, Ce Zhu, Zenglin Xu , arXiv preprint ,  2020
    Unspecified

    Free

  • Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor

    Soshi Iba, Ashwin Balakrishna, Katsu Yamane, Brijen Thananjeyan, John Canny, Jeffrey Ichnowski, Edward Cen, Aditya Ganapathi, Ken Goldberg, Ryan Hoque, Ajay Kumar Tanwani, Minho Hwang, Nawid Jamali, Daniel Seita , arXiv preprint ,  2019
    C++

    Free

  • Distributionally Robust Formulation and Model Selection for the Graphical Lasso

    Pedro Cisneros-Velarde, Alexander Petersen, Sang-Yun Oh , arXiv preprint ,  2019
    Python

    Free

  • Assisted Perception: Optimizing Observations to Communicate State

    Siddharth Reddy, Sergey Levine, Anca D. Dragan , arXiv preprint ,  2020
    Jupyter Notebook

    Free

  • Playing Chess with Limited Look Ahead

    Arman Maesumi , arXiv preprint ,  2020
    Python

    Free

  • Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding

    Yu Zhang, Jiawei Han, Yu Meng, Jiaxin Huang, Chao Zhang, Yunyi Zhang , arXiv preprint ,  2020
    C

    Free

  • Kernel Assisted Learning for Personalized Dose Finding

    Michael R. Kosorok, Rui Song, Wenbin Lu, Liangyu Zhu , arXiv preprint ,  2020
    R

    Free

  • PiNet: Attention Pooling for Graph Classification

    Peter J. Bentley, Peter Meltzer, Marcelo Daniel Gutierrez Mallea , arXiv preprint ,  2020
    Python

    Free

  • Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models

    Kevin Smith, Hossein Azizpour, Yue Liu, Fredrik Strand , arXiv preprint ,  2020
    Python

    Free

  • Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation

    Dong Wang, Bin Yan, Huchuan Lu, Xiaoyun Yang , arXiv preprint ,  2020
    Python

    Free

  • ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification

    Yunyang Xiong, Varsha Hedau, Hyunwoo J. Kim , arXiv preprint ,  2019
    Python

    Free

  • Model-Targeted Poisoning Attacks: Provable Convergence and Certified Bounds

    Yuan Tian, Saeed Mahloujifar, Fnu Suya, David Evans , arXiv preprint ,  2020
    Python

    Free

  • Decisions, Counterfactual Explanations and Strategic Behavior

    Manuel Gomez-Rodriguez, Stratis Tsirtsis , arXiv preprint ,  2020
    Jupyter Notebook

    Free

  • Knowledge Graph Simple Question Answering for Unseen Domains

    Evangelos Kanoulas, Nikos Voskarides, Georgios Sidiropoulos , arXiv preprint ,  2020
    Jupyter Notebook

    Free

  • Post-Hoc Methods for Debiasing Neural Networks

    Yash Savani, Naveen Sundar Govindarajulu, Colin White , arXiv preprint ,  2020
    Python

    Free

  • Training Deep Neural Networks on Noisy Labels with Bootstrapping

    Scott Reed, Andrew Rabinovich, Christian Szegedy, Dumitru Erhan, Dragomir Anguelov, Honglak Lee , arXiv preprint ,  2014
    Python

    Free

  • Transformers Generalize to the Semantics of Logics

    Christopher Hahn, Bernd Finkbeiner, Jens U. Kreber, Markus N. Rabe, Frederik Schmitt , arXiv preprint ,  2020
    Python

    Free

  • Improving the Robustness of Graphs through Reinforcement Learning and Graph Neural Networks

    Mirco Musolesi, Stephen Hailes, Victor-Alexandru Darvariu , arXiv preprint ,  2020
    Jupyter Notebook

    Free

  • Triplet Distillation for Deep Face Recognition

    Yushu Feng, Daniel T. Yi, Huan Wang, Roland Hu , arXiv preprint ,  2019
    Python

    Free

  • Deep Learning Approach to Diabetic Retinopathy Detection

    Dmitry Spodarets, Borys Tymchenko, Philip Marchenko , arXiv preprint ,  2020
    Jupyter Notebook

    Free

  • Conversational Neuro-Symbolic Commonsense Reasoning

    Jennifer Lee, Amos Azaria, Tom Mitchell, Kathryn Mazaitis, Forough Arabshahi, Mikayla Gawarecki , arXiv preprint ,  2020
    Prolog

    Free

  • Deep Deformation Network for Object Landmark Localization

    Manmohan Chandraker, Feng Zhou, Xiang Yu , arXiv preprint ,  2016
    Unspecified

    Free

  • Modeling subjective assessments of guilt in newspaper crime narratives

    Elisa Kreiss, Zijian Wang, Christopher Potts , arXiv preprint ,  2020
    Unspecified

    Free

  • Restricted Boltzmann Machine Flows and The Critical Temperature of Ising models

    Rodrigo Veiga, Renato Vicente , arXiv preprint ,  2020
    Jupyter Notebook

    Free

  • KiU-Net: Towards Accurate Segmentation of Biomedical Images using Over-complete Representations

    Jeya Maria Jose, Vishal M. Patel, Vishwanath Sindagi, Ilker Hacihaliloglu , arXiv preprint ,  2020
    Python

    Free

  • MLModelCI: An Automatic Cloud Platform for Efficient MLaaS

    Huaizheng Zhang, Yizheng Huang, Kyle Guan, Yonggang Wen, Jianxiong Yin, Yuanming Li , arXiv preprint ,  2020
    Python

    Free

  • ClusTR: Clustering Training for Robustness

    Motasem Alfarra, Juan C. Pérez, Pablo Arbeláez, Adel Bibi, Bernard Ghanem, Ali Thabet , arXiv preprint ,  2020
    Python

    Free

  • What is the State of Neural Network Pruning?

    Jose Javier Gonzalez Ortiz, Davis Blalock, Jonathan Frankle, John Guttag , arXiv preprint ,  2020
    Python

    Free

  • audino: A Modern Annotation Tool for Audio and Speech

    Rajiv Ratn Shah, Yaman Kumar, Manraj Singh Grover, Mika Hama, Pakhi Bamdev , arXiv preprint ,  2020
    JavaScript

    Free

  • FastReID: A Pytorch Toolbox for General Instance Re-identification

    Peng Cheng, Tao Mei, Xinchen Liu, Xingyu Liao, Wu Liu, Lingxiao He , arXiv preprint ,  2020
    Python

    Free

  • An LSTM approach to Forecast Migration using Google Trends

    Pierre Schaus, Harold Silvère Kiossou, Nicolas Golenvaux, Pablo Gonzalez Alvarez , arXiv preprint ,  2020
    Jupyter Notebook

    Free

  • Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection

    Panos M. Pardalos, Seonho Park, George Adosoglou , arXiv preprint ,  2020
    Python

    Free

  • AdvFaces: Adversarial Face Synthesis

    Debayan Deb, Jianbang Zhang, Anil K. Jain , arXiv preprint ,  2019
    Python

    Free

  • Performance Evaluation of Low-Cost Machine Vision Cameras for Image-Based Grasp Verification

    Paul G. Plöger, Amirhossein Pakdaman, Deebul Nair , arXiv preprint ,  2020
    Jupyter Notebook

    Free

  • PS^2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation

    Na Zhao, Gim Hee Lee, Tat-Seng Chua , arXiv preprint ,  2019
    Python

    Free

  • ART: A machine learning Automated Recommendation Tool for synthetic biology

    Tijana Radivojević, Zak Costello, Hector Garcia Martin, Kenneth Workman , arXiv preprint ,  2019
    HTML

    Free

  • SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections

    Amir-Hossein Karimi, Alexander Wong, Ali Ghodsi , arXiv preprint ,  2018
    Python

    Free

  • Deep-Plant: Plant Identification with convolutional neural networks

    Paul Wilkin, Paolo Remagnino, Sue Han Lee, Chee Seng Chan , Proceedings - International Conference on Image Processing, ICIP ,  2015
    Unspecified

    Free

  • Caffe con Troll: Shallow Ideas to Speed Up Deep Learning

    Christopher Ré, Firas Abuzaid, Ce Zhang, Stefan Hadjis , Proceedings of the 4th Workshop on Data analytics at sCale, DanaC 2015 - in conjunction with ACM SIGMOD/PODS Conference 2015 ,  2015
    C++

    Free

  • Amortized Monte Carlo Integration

    Tom Rainforth, Adam Goliński, Frank Wood , 36th International Conference on Machine Learning, ICML 2019 ,  2019
    Python

    Free

  • Semi-Recurrent CNN-based VAE-GAN for Sequential Data Generation

    Jie Liang, Mohammad Akbari , ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings ,  2018
    Python

    Free

  • Extracting PICO elements from RCT abstracts using 1-2gram analysis and multitask classification

    Li Shilei, Xia Yuan, Li Ke, Liao xiaoli, Wu Jinfa, Shi Qinwen , ACM International Conference Proceeding Series ,  2019
    Unspecified

    Free

  • Low-rank Optimization with Convex Constraints

    Christian Grussler, Pontus Giselsson, Anders Rantzer , IEEE Transactions on Automatic Control ,  2016
    Matlab

    Free

  • Key Protected Classification for Collaborative Learning

    Mert Bülent Sarıyıldız, Erman Ayday, Ramazan Gökberk Cinbiş , Pattern Recognition ,  2019
    Python

    Free

  • Segmenting the Future

    Ehsan Adeli, Juan Carlos Niebles, Hsu-kuang Chiu , IEEE Robotics and Automation Letters ,  2019
    Unspecified

    Free

  • Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model

    Rita Cucchiara, Giuseppe Serra, Marcella Cornia, Lorenzo Baraldi , IEEE Transactions on Image Processing ,  2016
    Python

    Free

  • ANNETT-O: An Ontology for Describing Artificial Neural Network Evaluation, Topology and Training

    Iraklis A. Klampanos, Vangelis Karkaletsis, Athanasios Davvetas, Antonis Koukourikos , International Journal of Metadata, Semantics and Ontologies ,  2018
    Python

    Free

  • Data Augmentation using Random Image Cropping and Patching for Deep CNNs

    Kuniaki Uehara, Ryo Takahashi, Takashi Matsubara , IEEE Transactions on Circuits and Systems for Video Technology ,  2018
    Python

    Free

  • Constrained Bayesian Optimization for Automatic Chemical Design

    Ryan-Rhys Griffiths, José Miguel Hernández-Lobato , Chemical Science ,  2017
    Python

    Free

  • Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims

    Chris Callison-Burch, Sihao Chen, Daniel Khashabi, Wenpeng Yin, Dan Roth , NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference ,  2019
    Jupyter Notebook

    Free

  • SwiDeN : Convolutional Neural Networks For Depiction Invariant Object Recognition

    Venkatesh Babu R, Shiv Surya, Srinivas S S Kruthiventi, Ravi Kiran Sarvadevabhatla , MM 2016 - Proceedings of the 2016 ACM Multimedia Conference ,  2016
    Jupyter Notebook

    Free

  • Learning-to-Learn Stochastic Gradient Descent with Biased Regularization

    Massimiliano Pontil, Giulia Denevi, Carlo Ciliberto, Riccardo Grazzi , 36th International Conference on Machine Learning, ICML 2019 ,  2019
    Python

    Free

  • An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval

    Simone Zorzan, Yarin Gal, Daniel Angerhausen, Giada N. Arney, Adam D. Cobb, Molly D. O'Beirne, Shawn D. Domagal-Goldman, Michael D. Himes, Atılım Güneş Baydin, Frank Soboczenski , Astronomical Journal ,  2019
    Jupyter Notebook

    Free

  • Deep Neural Networks for Anatomical Brain Segmentation

    Giovanni Montana, Alexandre de Brebisson , IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops ,  2015
    Jupyter Notebook

    Free

  • Event-based, 6-DOF Camera Tracking from Photometric Depth Maps

    Davide Scaramuzza, Guillermo Gallego, Tobi Delbruck, Henri Rebecq, Elias Mueggler, Jon E. A. Lund , IEEE Transactions on Pattern Analysis and Machine Intelligence ,  2016
    Unspecified

    Free

  • Search Personalization with Embeddings

    Dawei Song, Mark Johnson, Alistair Willis, Dat Quoc Nguyen, Thanh Vu , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2016
    Python

    Free

  • The UCR Time Series Archive

    Kaveh Kamgar, Chin-Chia Michael Yeh, Hoang Anh Dau, Chotirat Ann Ratanamahatana, Shaghayegh Gharghabi, Anthony Bagnall, Eamonn Keogh, Yan Zhu , IEEE/CAA Journal of Automatica Sinica ,  2018
    Python

    Free

  • Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables

    Friso H. Kingma, Jonathan Ho, Pieter Abbeel , 36th International Conference on Machine Learning, ICML 2019 ,  2019
    Python

    Free

  • Exploiting Multiple Embeddings for Chinese Named Entity Recognition

    Jialong Han, Chenliang Li, Feiyang Wang, Canwen Xu , International Conference on Information and Knowledge Management, Proceedings ,  2019
    Python

    Free

  • Knowledge-guided Pairwise Reconstruction Network for Weakly Supervised Referring Expression Grounding

    Xuejing Liu, Shuhui Wang, Zheng-Jun Zha, Li Su, Qingming Huang, Liang Li , MM 2019 - Proceedings of the 27th ACM International Conference on Multimedia ,  2019
    Python

    Free

  • Spatial-Temporal Person Re-identification

    Xiaohua Xie, Peigen Huang, Jianhuang Lai, Guangcong Wang , 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

  • An Efficient Sampling-based Method for Online Informative Path Planning in Unknown Environments

    Roland Siegwart, Michael Pantic, Lionel Ott, Juan Nieto, Raghav Khanna, Lukas Schmid , IEEE Robotics and Automation Letters ,  2019
    C++

    Free

  • Modeling Brain Networks with Artificial Neural Networks

    Itir Onal Ertugrul, Baran Baris Kivilcim, Fatos T. Yarman Vural , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2018
    Python

    Free

  • aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model

    Jiafeng Guo, Liu Yang, Qingyao Ai, W. Bruce Croft , International Conference on Information and Knowledge Management, Proceedings ,  2018
    HCL

    Free

  • Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations

    Maziar Raissi, George Em Karniadakis , Journal of Computational Physics ,  2017
    MATLAB

    Free

  • Deformable Kernel Networks for Joint Image Filtering

    Jean Ponce, Bumsub Ham, Beomjun Kim , International Journal of Computer Vision ,  2019
    Python

    Free

  • Interpretable Time Series Classification using Linear Models and Multi-resolution Multi-domain Symbolic Representations

    Severin Gsponer, Thach Le Nguyen, Iulia Ilie, Georgiana Ifrim, Martin O'Reilly , Data Mining and Knowledge Discovery ,  2020
    C++

    Free

  • Supervised online diarization with sample mean loss for multi-domain data

    Enrico Fini, Alessio Brutti , ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings ,  2019
    Python

    Free

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