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Science NestCategoriesComputer Science
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  • Kernel Manifold Alignment

    Gustau Camps-Valls, Devis Tuia , PLoS ONE ,  2015
    Matlab

    Free

  • Kernel Instrumental Variable Regression

    Arthur Gretton, Maneesh Sahani, Rahul Singh , NeurIPS 2019 12 ,  2019
    Unspecified

    Free

  • Kernel Graph Convolutional Neural Networks

    Antoine Jean-Pierre Tixier, Giannis Nikolentzos, Konstantinos Skianis, Polykarpos Meladianos, Michalis Vazirgiannis , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2017
    Python

    Free

  • Kernel Feature Selection via Conditional Covariance Minimization

    Martin J. Wainwright, Michael I. Jordan, Jianbo Chen, Mitchell Stern , NeurIPS 2017 12 ,  2017
    Python

    Free

  • Kernel Exponential Family Estimation via Doubly Dual Embedding

    Niao He, Bo Dai, Hanjun Dai, Le Song, Dale Schuurmans, Arthur Gretton , AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics ,  2018
    Python

    Free

  • Kernel Cross-Correlator

    Chen Wang, Junsong Yuan, Lihua Xie, Le Zhang , 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 ,  2017
    Multiple

    Free

  • Kernel Conditional Exponential Family

    Arthur Gretton, Michael Arbel , International Conference on Artificial Intelligence and Statistics, AISTATS 2018 ,  2017
    Jupyter Notebook

    Free

  • Kernel computations from large-scale random features obtained by Optical Processing Units

    Jonathan Dong, Sébastien Marmin, Ruben Ohana, Laurent Daudet, Florent Krzakala, Maurizio Filippone, Jonas Wacker , ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings ,  2019
    Jupyter Notebook

    Free

  • Kernel Assisted Learning for Personalized Dose Finding

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

    Free

  • Kernel Assisted Learning for Personalized Dose Finding

    Michael R. Kosorok, Rui Song, Wenbin Lu, Liangyu Zhu , Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ,  2020
    R

    Free

  • Kernel Adaptive Metropolis-Hastings

    Heiko Strathmann, Dino Sejdinovic, Arthur Gretton, Maria Lomeli Garcia, Christophe Andrieu , 31st International Conference on Machine Learning, ICML 2014 ,  2013
    Python

    Free

  • Kernalised Multi-resolution Convnet for Visual Tracking

    Wenbin Zou, Yong Zhao, Di Wu, Xia Li , IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops ,  2017
    Jupyter Notebook

    Free

  • KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images

    Andreas Bender, Isidro Cortes Ciriano , Journal of Cheminformatics ,  2018
    Python

    Free

  • Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards

    Caiming Xiong, Stephan Zheng, Alexander Trott, Richard Socher , NeurIPS 2019 12 ,  2019
    Python

    Free

  • Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image

    Angjoo Kanazawa, Javier Romero, Federica Bogo, Peter Gehler, Michael J. Black, Christoph Lassner , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2016
    Python

    Free

  • Keep It Real: a Window to Real Reality in Virtual Reality

    Baihan Lin , IJCAI 2020 4 ,  2020
    Python

    Free

  • KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation

    Minlie Huang, Hao Zhou, Xiaoyan Zhu, Kaili Huang, Chujie Zheng , ACL 2020 7 ,  2020
    Python

    Free

  • KBLRN End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features

    Alberto Garcia-Duran, Mathias Niepert , 34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018 ,  2017
    Python

    Free

  • KBGAN: Adversarial Learning for Knowledge Graph Embeddings

    Liwei Cai, William Yang Wang , NAACL 2018 6 ,  2017
    Multiple

    Free

  • Katib: A Distributed General AutoML Platform on Kubernetes

    Debo Dutta, Jinan Zhou, Kirill Prosvirov, Anubhav Garg, Andrey Velichkevich, Yuji Oshima , USENIX Conference on Operational Machine Learning 2019 2019 1 ,  2019
    Jsonnet

    Free

  • KATE: K-Competitive Autoencoder for Text

    Mohammed J. Zaki, Yu Chen , Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ,  2017
    Python

    Free

  • Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs

    Oliver Kiss, Rik Sarkar, Benedek Rozemberczki , CIKM 2020 10 ,  2020
    Multiple

    Free

  • Kandinsky Patterns

    Heimo Mueller, Andreas Holzinger , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2019
    Unspecified

    Free

  • Kalman Filter-based Heuristic Ensemble (KFHE): A new perspective on multi-class ensemble classification using Kalman filters

    Arjun Pakrashi, Brian Mac Namee , Information Sciences ,  2018
    R

    Free

  • Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights

    Maria Jahja, Roni Rosenfeld, Ryan J. Tibshirani, David Farrow , NeurIPS 2019 12 ,  2019
    Python

    Free

  • KaLM at SemEval-2020 Task 4: Knowledge-aware Language Models for Comprehension And Generation

    Jiajing Wan, Xinting Huang , arXiv preprint ,  2020
    Python

    Free

  • Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps

    Megan Leszczynski, Albert Gu, Matthew Eichhorn, Nimit Sohoni, Tri Dao, Christopher Ré, Amit Blonder, Atri Rudra , ICLR 2020 1 ,  2020
    Python

    Free

  • KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning

    Jamin Chen, Bill Yuchen Lin, Xinyue Chen, Xiang Ren , IJCNLP 2019 11 ,  2019
    Python

    Free

  • Kafnets: kernel-based non-parametric activation functions for neural networks

    Simone Scardapane, Steven Van Vaerenbergh, Aurelio Uncini, Simone Totaro , Neural Networks ,  2017
    Multiple

    Free

  • k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations

    Jinming Duan, Jo Schlemper, Daniel Rueckert, Gavin Seegoolam, Chen Qin, Joseph Hajnal, Anthony Price , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2019
    Python

    Free

  • k-Sparse Autoencoders

    Alireza Makhzani, Brendan Frey , 2nd International Conference on Learning Representations, ICLR 2014 - Conference Track Proceedings ,  2013
    Multiple

    Free

  • k-Space Deep Learning for Accelerated MRI

    Jong Chul Ye, Leonard Sunwoo, Yoseob Han , IEEE Transactions on Medical Imaging ,  2018
    MATLAB

    Free

  • k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples)

    Padraig Cunningham, Sarah Jane Delany , arXiv preprint ,  2020
    Jupyter Notebook

    Free

  • k-Means Clustering of Lines for Big Data

    Dan Feldman, Yair Marom , NeurIPS 2019 12 ,  2019
    Python

    Free

  • k-hop Graph Neural Networks

    Michalis Vazirgiannis, Giannis Nikolentzos, George Dasoulas , Neural Networks ,  2019
    Python

    Free

  • K-BERT: Enabling Language Representation with Knowledge Graph

    Haotang Deng, Zhiruo Wang, Zhe Zhao, Ping Wang, Qi Ju, Peng Zhou, Weijie Liu , arXiv 2019 9 ,  2019
    Python

    Free

  • Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding

    Miryam de Lhoneux, Daniel Hershcovich, Artur Kulmizev, Joakim Nivre, Elham Pejhan , arXiv preprint ,  2020
    Python

    Free

  • Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding

    Miryam de Lhoneux, Daniel Hershcovich, Artur Kulmizev, Joakim Nivre, Elham Pejhan , Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies ,  2020
    Python

    Free

  • Just Go with the Flow: Self-Supervised Scene Flow Estimation

    David Held, Himangi Mittal, Brian Okorn , CVPR 2020 6 ,  2019
    Python

    Free

  • Junction Tree Variational Autoencoder for Molecular Graph Generation

    Wengong Jin, Tommi Jaakkola, Regina Barzilay , ICML 2018 7 ,  2018
    Multiple

    Free

  • JumpReLU: A Retrofit Defense Strategy for Adversarial Attacks

    Zhewei Yao, Michael W. Mahoney, N. Benjamin Erichson , ICPRAM 2020 - Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods ,  2019
    Python

    Free

  • Jumping across biomedical contexts using compressive data fusion

    Marinka Zitnik, Blaz Zupan , Bioinformatics ,  2017
    Python

    Free

  • Jump to better conclusions: SCAN both left and right

    Joost Bastings, Jason Weston, Douwe Kiela, Marco Baroni, Kyunghyun Cho , WS 2018 11 ,  2018
    PLSQL

    Free

  • Juman++: A Morphological Analysis Toolkit for Scriptio Continua

    Daisuke Kawahara, Arseny Tolmachev, Sadao Kurohashi , EMNLP 2018 11 ,  2018
    C++

    Free

  • Jukebox: A Generative Model for Music

    Alec Radford, Prafulla Dhariwal, Jong Wook Kim, Ilya Sutskever, Heewoo Jun, Christine Payne , Preprint 2020 4 ,  2020
    Python

    Free

  • JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation

    Srinivasan Iyer, Luke Zettlemoyer, Rajas Agashe , IJCNLP 2019 11 ,  2019
    Python

    Free

  • Judging a Book By its Cover

    Brian Kenji Iwana, Syed Tahseen Raza Rizvi, Andreas Dengel, Sheraz Ahmed, Seiichi Uchida , Group and Organization Management ,  2016
    Multiple

    Free

  • JU\_ETCE\_17\_21 at SemEval-2019 Task 6: Efficient Machine Learning and Neural Network Approaches for Identifying and Categorizing Offensive Language in Tweets

    Sudip Kumar Naskar, Mainak Pal, Somnath Banerjee, Preeti Mukherjee , SEMEVAL 2019 6 ,  2019
    Jupyter Notebook

    Free

  • JSTASR: Joint Size and Transparency-Aware Snow Removal Algorithm Based on Modified Partial Convolution and Veiling Effect Removal

    Jian-Jiun Ding, Cheng-Che Tsai, Hao-Yu Fang, Wei-Ting Chen, Sy-Yen Kuo , ECCV 2020 8 ,  2020
    Python

    Free

  • JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds

    Lin Zhao, Wenbing Tao , Proceedings of the AAAI Conference on Artificial Intelligence ,  2019
    Python

    Free

  • JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields

    Duc Thanh Nguyen, Sai-Kit Yeung, Gemma Roig, Binh-Son Hua, Quang-Hieu Pham , CVPR 2019 6 ,  2019
    Python

    Free

  • JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds

    Xuyang Bai, Mingmin Zhen, Zeyu Hu, Hongbo Fu, Chiew-lan Tai , ECCV 2020 8 ,  2020
    Python

    Free

  • JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation

    Zhiwei Liu, Philip S. Yu, Lei Zheng, Jiawei Zhang, Jiayu Han , 2019 IEEE International Conference on Big Data (Big Data) ,  2019
    Python

    Free

  • JS-son — A Lean, Extensible JavaScript Agent Programming Library

    Timotheus Kampik, Juan Carlos Nieves , arXiv preprint ,  2020
    JavaScript

    Free

  • Joints in Random Forests

    Cassio P. de Campos, Robert Peharz, Alvaro H. C. Correia , arXiv preprint ,  2020
    Jupyter Notebook

    Free

  • Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling

    Luheng He, Luke Zettlemoyer, Omer Levy, Kenton Lee , ACL 2018 7 ,  2018
    Python

    Free

  • Jointly Optimizing Placement and Inference for Beacon-based Localization

    Ayan Chakrabarti, David Yunis, Matthew R. Walter, Charles Schaff , IEEE International Conference on Intelligent Robots and Systems ,  2017
    Python

    Free

  • Jointly Optimizing Diversity and Relevance in Neural Response Generation

    Jianfeng Gao, Michel Galley, Xiang Gao, Yizhe Zhang, Bill Dolan, Sungjin Lee, Chris Brockett , NAACL 2019 6 ,  2019
    Python

    Free

  • Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation

    Xiao Liu, Zhunchen Luo, Heyan Huang , EMNLP 2018 10 ,  2018
    Python

    Free

  • Jointly Measuring Diversity and Quality in Text Generation Models

    Ehsan Montahaei, Mahdieh Soleymani Baghshah, Danial Alihosseini , WS 2019 6 ,  2019
    Python

    Free

  • Jointly Learning to Label Sentences and Tokens

    Anders Søgaard, Marek Rei , 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

  • Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning

    Ayan Chakrabarti, Matthew R. Walter, David Yunis, Charles Schaff , ICLR 2018 1 ,  2018
    Multiple

    Free

  • Jointly Learning to Align and Convert Graphemes to Phonemes with Neural Attention Models

    Shubham Toshniwal, Karen Livescu , 2016 IEEE Workshop on Spoken Language Technology, SLT 2016 - Proceedings ,  2016
    Python

    Free

  • Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

    Chenyang Wang, Yiqun Liu, Xiang Ren, Woojeong, Yue Cao, Jin, Weizhi Ma, Min Zhang, Shaoping Ma , The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019 ,  2019
    Python

    Free

  • Jointly Learning Entity and Relation Representations for Entity Alignment

    Xiao Liu, Dongyan Zhao, Zheng Wang, Yansong Feng, Yuting Wu , IJCNLP 2019 11 ,  2019
    Multiple

    Free

  • Jointly Learning Convolutional Representations to Compress Radiological Images and Classify Thoracic Diseases in the Compressed Domain

    Soumava Paul, Debdoot Sheet, Aupendu Kar, Ramanathan Sethuraman, Ekagra Ranjan, Siddharth Kapoor , ICVGIP 2018 2018 12 ,  2018
    Python

    Free

  • Jointly Fine-Tuning “BERT-like” Self Supervised Models to Improve Multimodal Speech Emotion Recognition

    Andrew Reis, Suranga Nanayakkara, Rivindu Weerasekera, Shamane Siriwardhana , Interspeech 2020 8 ,  2020
    Python

    Free

  • Jointly Extracting Relations with Class Ties via Effective Deep Ranking

    Zhoujun Li, Wenhan Chao, Hai Ye, Zhunchen Luo , ACL 2017 7 ,  2016
    C++

    Free

  • Jointly Extracting and Compressing Documents with Summary State Representations

    Shay B. Cohen, Zita Marinho, Shashi Narayan, André F. T. Martins, Afonso Mendes, Sebastião Miranda , NAACL 2019 6 ,  2019
    C++

    Free

  • Jointly embedding the local and global relations of heterogeneous graph for rumor detection

    Songlin Hu, Wei Zhou, Jizhong Han, Qianwen Ma, Chunyuan Yuan , Proceedings - IEEE International Conference on Data Mining, ICDM ,  2019
    Python

    Free

  • Jointly Embedding Entities and Text with Distant Supervision

    Denis Newman-Griffis, Albert M. Lai, Eric Fosler-Lussier , WS 2018 7 ,  2018
    Multiple

    Free

  • Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification

    Shuangjie Xu, Yu Cheng, Yang Yang, Kang Gu, Pan Zhou, Shiyu Chang , ICCV 2017 10 ,  2017
    Lua

    Free

  • JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets

    Yizhe Zhang, Ricardo Henao, Lawrence Carin, Shuyang Dai, Guoyin Wang, Weiyao Wang, Yunchen Pu, Zhe Gan , ICML 2018 7 ,  2018
    Multiple

    Free

  • Joint-task Self-supervised Learning for Temporal Correspondence

    Xiaolong Wang, Ming-Hsuan Yang, Sifei Liu, Jan Kautz, Shalini De Mello, Xueting Li , NeurIPS 2019 12 ,  2019
    Python

    Free

  • Joint Word Representation Learning using a Corpus and a Semantic Lexicon

    Takanori Maehara, Danushka Bollegala, Alsuhaibani Mohammed, Ken-ichi Kawarabayashi , 30th AAAI Conference on Artificial Intelligence, AAAI 2016 ,  2015
    C++

    Free

  • Joint Voxel and Coordinate Regression for Accurate 3D Facial Landmark Localization

    Hongwen Zhang, Qi Li, Zhenan Sun , Proceedings - International Conference on Pattern Recognition ,  2018
    Python

    Free

  • Joint Viewpoint and Keypoint Estimation with Real and Synthetic Data

    Pau Panareda Busto, Juergen Gall , Pattern Recognition ,  2019
    Unspecified

    Free

  • Joint Unsupervised Learning of Deep Representations and Image Clusters

    Jianwei Yang, Dhruv Batra, Devi Parikh , CVPR 2016 6 ,  2016
    MATLAB

    Free

  • Joint Topic-Semantic-aware Social Recommendation for Online Voting

    Hongwei Wang, Minyi Guo, Jiannong Cao, Miao Zhao, Jia Wang , International Conference on Information and Knowledge Management, Proceedings ,  2017
    C++

    Free

  • Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank

    Kai Zhao, Liang Huang , EMNLP 2017 9 ,  2017
    Python

    Free

  • Joint Super-Resolution and Alignment of Tiny Faces

    Joseph P. Robinson, Yu Yin, Yulun Zhang, Yun Fu , Proceedings of the AAAI Conference on Artificial Intelligence ,  2019
    Python

    Free

  • Joint Slot Filling and Intent Detection via Capsule Neural Networks

    Yaliang Li, Chenwei Zhang, Nan Du, Philip S. Yu, Wei Fan , ACL 2019 7 ,  2018
    Multiple

    Free

  • Joint Schatten p-Norm and lp-Norm Robust Matrix Completion for Missing Value Recovery

    Feiping Nie, Hua Wang, Heng Huang, Chris Ding , Knowledge and Information Systems (KAIS) ,  2013
    MATLAB

    Free

  • Joint RNN Model for Argument Component Boundary Detection

    Minglan Li, Hui Wen, Hao Wang, Yang Gao, Yang Du, Haijing Liu , arXiv preprint ,  2017
    Python

    Free

  • Joint RNN Model for Argument Component Boundary Detection

    Minglan Li, Hui Wen, Hao Wang, Yang Gao, Yang Du, Haijing Liu , 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 ,  2017
    Unspecified

    Free

  • Joint Ranking SVM and Binary Relevance with Robust Low-Rank Learning for Multi-Label Classification

    Dalian Liu, Ruobing Zheng, Yingjie Tian, Guoqiang Wu , Neural Networks ,  2019
    MATLAB

    Free

  • Joint Pose and Principal Curvature Refinement Using Quadrics

    Tom Drummond, Andrew Spek , Proceedings - IEEE International Conference on Robotics and Automation ,  2017
    C++

    Free

  • Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation

    Minje Kim, Po-Sen Huang, Paris Smaragdis, Mark Hasegawa-Johnson , IEEE/ACM Transactions on Audio Speech and Language Processing ,  2015
    Multiple

    Free

  • Joint Optimization of Cascade Ranking Models

    Luke Gallagher, Ruey-Chen Chen, J. Shane Culpepper, Roi Blanco , WSDM 2019 2 ,  2019
    Python

    Free

  • Joint Optimization for Multi-Person Shape Models from Markerless 3D-Scans

    Astrid Laubenheimer, Samuel Zeitvogel, Johannes Dornheim , ECCV 2020 8 ,  2020
    C++

    Free

  • Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation

    Yanwu Xu, Huazhu Fu, Xiaochun Cao, Damon Wing Kee Wong, Jun Cheng, Jiang Liu , IEEE Transactions on Medical Imaging ,  2018
    Multiple

    Free

  • Joint Neural Collaborative Filtering for Recommender Systems

    Fei Cai, Maarten de Rijke, Honghui Chen, Wanyu Chen , ACM Transactions on Information Systems ,  2019
    Python

    Free

  • Joint Multimodal Learning with Deep Generative Models

    Masahiro Suzuki, Yutaka Matsuo, Kotaro Nakayama , 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings ,  2016
    Python

    Free

  • Joint Multi-frame Detection and Segmentation for Multi-cell Tracking

    Huaying Chen, Peng Gao, Zibin Zhou, Fei Wang, Wenjuan Xi, Chengkang He , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2019
    Unspecified

    Free

  • Joint Monocular 3D Vehicle Detection and Tracking

    Trevor Darrell, Dequan Wang, Fisher Yu, Min Sun, Hou-Ning Hu, Ji Lin, Philipp Krähenbühl, Qi-Zhi Cai , ICCV 2019 10 ,  2018
    Python

    Free

  • Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment

    Ruizhi Liao, Steven Horng, Seth Berkowitz, Polina Golland, Geeticka Chauhan, Peter Szolovits, Xin Wang, William Wells, Jacob Andreas , Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ,  2020
    Python

    Free

  • Joint Maximum Purity Forest with Application to Image Super-Resolution

    Hailiang Li, Dong Li, Kin-Man Lam , Journal of Electronic Imaging ,  2017
    Unspecified

    Free

  • Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation

    Ikuya Yamada, Hideaki Takeda, Hiroyuki Shindo, Yoshiyasu Takefuji , CONLL 2016 8 ,  2016
    Python

    Free

  • Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos

    Mahsa Ehsanpour, Fatemeh Saleh, Hamid Rezatofighi, Alireza Abedin, Ian Reid, Javen Shi , ECCV 2020 8 ,  2020
    Unspecified

    Free

  • Joint Learning of Sentence Embeddings for Relevance and Entailment

    Jan Sedivy, Petr Baudis, Silvestr Stanko , WS 2016 8 ,  2016
    Python

    Free

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