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  • Sequence Labeling Approach to the Task of Sentence Boundary Detection

    The Anh Le , ICMLSC 2020: Proceedings of the 4th International Conference on Machine Learning and Soft Computing 2020 1 ,  2020
    Json

    Free

  • Refer360° A Referring Expression Recognition Dataset in 360° Images

    Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Volkan Cirik , ACL 2020 7 ,  2020
    Python

    Free

  • Monocular Real-time Hand Shape and Motion Capture using Multi-modal Data

    Marc Habermann, Christian Theobalt, Weipeng Xu, Ikhsanul Habibie, Yuxiao Zhou, Feng Xu , CVPR 2020 6 ,  2020
    Python

    Free

  • Extracting Headless MWEs from Dependency Parse Trees Parsing, Tagging, and Joint Modeling Approaches

    Lillian Lee, Tianze Shi , ACL 2020 7 ,  2020
    Python

    Free

  • Surfing: Iterative optimization over incrementally trained deep networks

    Zhou Fan, John Lafferty, Ganlin Song , NeurIPS 2019 12 ,  2019
    Python

    Free

  • Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

    Yanqi Zhou, Peter J. Liu, Adam Roberts, Colin Raffel, Katherine Lee, Michael Matena, Sharan Narang, Wei Li, Noam Shazeer , arXiv 2019 10 ,  2019
    Multiple

    Free

  • Explainable Face Recognition

    Jonathan R. Williford, Jeffrey Byrne, Brandon B. May , ECCV 2020 8 ,  2020
    Python

    Free

  • Coh-Metrix-Esp: A Complexity Analysis Tool for Documents Written in Spanish

    Marco Sobrevilla Cabezudo, o, Walter Perez, Fern Alva-Manchego, Andre Quispesaravia , LREC 2016 5 ,  2016
    Java

    Free

  • Categorized Bandits

    Vianney Perchet, Matthieu Jedor, Jonathan Louedec , NeurIPS 2019 12 ,  2020
    Jupyter Notebook

    Free

  • Revisiting the Sibling Head in Object Detector

    Yu Liu, Xiaogang Wang, Guanglu Song , CVPR 2020 6 ,  2020
    Multiple

    Free

  • ACFlow: Flow Models for Arbitrary Conditional Likelihoods

    Junier Oliva, Yang Li, Shoaib Akbar , ICML 2020 1 ,  2020
    Python

    Free

  • Learning to Detect Open Classes for Universal Domain Adaptation

    Mingsheng Long, Jianmin Wang, Bo Fu, Zhangjie Cao , ECCV 2020 8 ,  2020
    Unspecified

    Free

  • Geom-GCN: Geometric Graph Convolutional Networks

    Yu Lei, Bo Yang, Hongbin Pei, Kevin Chen-Chuan Chang, Bingzhe Wei , ICLR 2020 1 ,  2020
    Python

    Free

  • Communication trade-offs for Local-SGD with large step size

    Aymeric Dieuleveut, Kumar Kshitij Patel , NeurIPS 2019 12 ,  2019
    Python

    Free

  • Training Neural Networks for and by Interpolation

    Andrew Zisserman, Leonard Berrada, M. Pawan Kumar , ICML 2020 1 ,  2019
    Python

    Free

  • On the Convergence of FedAvg on Non-IID Data

    Wenhao Yang, Xiang Li, Zhihua Zhang, Kaixuan Huang, Shusen Wang , ICLR 2020 1 ,  2019
    Python

    Free

  • A Kernel Independence Test for Geographical Language Variation

    Jacob Eisenstein, Dong Nguyen , CL 2017 9 ,  2016
    Jupyter Notebook

    Free

  • Deep Learning for Classification of Hyperspectral Data: A Comparative Review

    Sébastien Lefèvre, Bertrand Saux, Nicolas Audebert , IEEE Geoscience and Remote Sensing Magazine 2019 6 ,  2019
    Python

    Free

  • MarginGAN: Adversarial Training in Semi-Supervised Learning

    Tong Lin, Jinhao Dong , NeurIPS 2019 12 ,  2019
    Shell

    Free

  • Uniform convergence may be unable to explain generalization in deep learning

    J. Zico Kolter, Vaishnavh Nagarajan , NeurIPS 2019 12 ,  2019
    Jupyter Notebook

    Free

  • Text-Based Ideal Points

    David M. Blei, Keyon Vafa, Suresh Naidu , ACL 2020 7 ,  2020
    Python

    Free

  • Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images

    Weixin Luo, Shenghua Gao, Wen Liu, Jun Cheng, Kang Zhou, Yuting Xiao, Jiang Liu, Zaiwang Gu, Jianlong Yang , ECCV 2020 8 ,  2020
    Python

    Free

  • More Classifiers, Less Forgetting A Generic Multi-classifier Paradigm for Incremental Learning

    Ales Leonardis, Xu Jia, Yu Liu, Sarah Parisot, Tinne Tuytelaars, Gregory Slabaugh , ECCV 2020 8 ,  2020
    Python

    Free

  • CLIReval: Evaluating Machine Translation as a Cross-Lingual Information Retrieval Task

    Kevin Duh, Shuo Sun, Suzanna Sia , ACL 2020 7 ,  2020
    Python

    Free

  • Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach

    Luc Van Gool, Wen Li, Yuhua Chen, Xiaoran Chen , CVPR 2019 6 ,  2018
    Unspecified

    Free

  • Radioactive data: tracing through training

    Alexandre Sablayrolles, Matthijs Douze, Hervé Jégou, Cordelia Schmid , ICML 2020 1 ,  2020
    Multiple

    Free

  • Learning Deep Visual Object Models From Noisy Web Data: How to Make it Work

    Francesca Babiloni, Jay Young, Nizar Massouh, Nick Hawes, Barbara Caputo, Tatiana Tommasi , IEEE Xplore 2017 12 ,  2017
    Python

    Free

  • Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making

    Chengchun Shi, Wenbin Lu, Rui Song, Ling Leng, Runzhe Wan , ICML 2020 1 ,  2020
    Python

    Free

  • SemanticAdv: Generating Adversarial Examples via Attribute-conditioned Image Editing

    Xinchen Yan, Haonan Qiu, Chaowei Xiao, Lei Yang, Bo Li, Honglak Lee , ECCV 2020 8 ,  2020
    Python

    Free

  • A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening

    Gecia Bravo Hermsdorff, Lee Gunderson , NeurIPS 2019 12 ,  2019
    Python

    Free

  • Neural Syntactic Preordering for Controlled Paraphrase Generation

    Tanya Goyal, Greg Durrett , ACL 2020 7 ,  2020
    Python

    Free

  • Learning to Stop While Learning to Predict

    Hanjun Dai, Le Song, Xin Gao, Yu Li, Xinshi Chen , ICML 2020 1 ,  2020
    Python

    Free

  • Robust Place Categorization with Deep Domain Generalization

    Samuel Rota Bulò, Massimiliano Mancini, Barbara Caputo, Elisa Ricci , IEEE Robotics and Automation Letters ,  2018
    C++

    Free

  • Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

    Changan Chen, Yuejiang Liu, Alexandre Alahi, Sven Kreiss , Proceedings - IEEE International Conference on Robotics and Automation ,  2018
    Multiple

    Free

  • QA4IE: A Question Answering based Framework for Information Extraction

    Shu Rong, Kewei Tu, Hao Zhou, Lihua Qian, Weinan Zhang, Dongyu Ru, Suoheng Li, Yanru Qu, Yong Yu, Lin Qiu , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2018
    Python

    Free

  • Unsupervised Feature Selection with Adaptive Structure Learning

    Yi-Dong Shen, Liang Du , Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ,  2015
    Matlab

    Free

  • MNIST Dataset Classification Utilizing k-NN Classifier with Modified Sliding-window Metric

    Divas Grover, Behrad Toghi , Advances in Intelligent Systems and Computing ,  2018
    Python

    Free

  • Memory Networks

    Antoine Bordes, Jason Weston, Sumit Chopra , Advances in Intelligent Systems and Computing ,  2014
    Multiple

    Free

  • A Framework for Visually Realistic Multi-robot Simulation in Natural Environment

    Ramakrishnan Mukundan, Ori Ganoni , Computer Science Research Notes ,  2017
    Python

    Free

  • Metacontrol for Adaptive Imagination-Based Optimization

    Jessica B. Hamrick, Nicolas Heess, Razvan Pascanu, Andrew J. Ballard, Oriol Vinyals, Peter W. Battaglia , 5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings ,  2017
    Unspecified

    Free

  • Learning Where to Attend Like a Human Driver

    Andrea Palazzi, Simone Calderara, Rita Cucchiara, Francesco Solera, Stefano Alletto , IEEE Intelligent Vehicles Symposium, Proceedings ,  2016
    Python

    Free

  • Categorical Reparameterization with Gumbel-Softmax

    Eric Jang, Shixiang Gu, Ben Poole , 5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings ,  2016
    Multiple

    Free

  • Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach

    Kohei Hayashi, Satoshi Hara , International Conference on Artificial Intelligence and Statistics, AISTATS 2018 ,  2016
    Python

    Free

  • A Comprehensive Analysis of Deep Regression

    Xavier Alameda-Pineda, Stéphane Lathuilière, Pablo Mesejo, Radu Horaud , IEEE Transactions on Pattern Analysis and Machine Intelligence ,  2018
    Jupyter Notebook

    Free

  • Feature Selection via Binary Simultaneous Perturbation Stochastic Approximation

    Vural Aksakalli, Milad Malekipirbazari , Pattern Recognition Letters ,  2015
    Matlab

    Free

  • Robust Graph Learning from Noisy Data

    Zhao Kang, Steven C. H. Hoi, Zenglin Xu, Haiqi Pan , IEEE Transactions on Cybernetics ,  2018
    Unspecified

    Free

  • Low-Rank Matrix Recovery from Row-and-Column Affine Measurements

    Or Zuk, Avishai Wagner , 32nd International Conference on Machine Learning, ICML 2015 ,  2015
    Matlab

    Free

  • SAT-based Analysis of Large Real-world Feature Models is Easy

    Krzysztof Czarnecki, Jia Hui Liang, Venkatesh Raman, Vijay Ganesh , ACM International Conference Proceeding Series ,  2015
    C++

    Free

  • Learning Longer Memory in Recurrent Neural Networks

    Tomas Mikolov, Michael Mathieu, Armand Joulin, Sumit Chopra, Marc'Aurelio Ranzato , 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings ,  2014
    Multiple

    Free

  • Recognizing Focal Liver Lesions in Contrast-Enhanced Ultrasound with Discriminatively Trained Spatio-Temporal Model

    Liang Lin, Xiaodan Liang, Rui Huang, Qingxing Cao , 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 ,  2015
    Unspecified

    Free

  • Caffe: Convolutional Architecture for Fast Feature Embedding

    Ross Girshick, Sergey Karayev, Jonathan Long, Evan Shelhamer, Trevor Darrell, Yangqing Jia, Sergio Guadarrama, Jeff Donahue , MM 2014 - Proceedings of the 2014 ACM Conference on Multimedia ,  2014
    C++

    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

  • Incorporating long-range consistency in CNN-based texture generation

    G. Berger, R. Memisevic , 5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings ,  2016
    Multiple

    Free

  • Universal Sentence Encoder

    Nicole Limtiaco, Brian Strope, Rhomni St. John, Mario Guajardo-Cespedes, Yun-Hsuan Sung, Ray Kurzweil, Steve Yuan, Yinfei Yang, Daniel Cer, Noah Constant, Nan Hua, Sheng-yi Kong, Chris Tar , EMNLP 2018 - Conference on Empirical Methods in Natural Language Processing System Demonstrations, Proceedings ,  2018
    Multiple

    Free

  • Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

    William J. Dally, Huizi Mao, Song Han , 4th International Conference on Learning Representations, ICLR 2016 - Conference Track Proceedings ,  2015
    Multiple

    Free

  • Improving zero-shot learning by mitigating the hubness problem

    Angeliki Lazaridou, Marco Baroni, Georgiana Dinu , 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings ,  2014
    Multiple

    Free

  • Deep Learning with Differential Privacy

    H. Brendan McMahan, Li Zhang, Kunal Talwar, Andy Chu, Ilya Mironov, Martín Abadi, Ian Goodfellow , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2016
    Multiple

    Free

  • Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems

    Dana Kulić, Sandra Hirche, Thomas Beckers , Automatica ,  2018
    MATLAB

    Free

  • Efficient Estimation of Word Representations in Vector Space

    Kai Chen, Greg Corrado, Tomas Mikolov, Jeffrey Dean , 1st International Conference on Learning Representations, ICLR 2013 - Workshop Track Proceedings ,  2013
    Multiple

    Free

  • Wide Residual Networks

    Sergey Zagoruyko, Nikos Komodakis , Eurasip Journal on Wireless Communications and Networking ,  2016
    Multiple

    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

  • LAREX – A semi-automatic open-source Tool for Layout Analysis and Region Extraction on Early Printed Books

    Uwe Springmann, Frank Puppe, Christian Reul , ACM International Conference Proceeding Series ,  2017
    Multiple

    Free

  • OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

    David Eigen, Rob Fergus, Michael Mathieu, Xiang Zhang, Yann LeCun, Pierre Sermanet , 2nd International Conference on Learning Representations, ICLR 2014 - Conference Track Proceedings ,  2013
    Multiple

    Free

  • Case Study of a highly automated Layout Analysis and OCR of an incunabulum 'Der Heiligen Leben' (1488)

    Martin Gruner, Marco Dittrich, Christian Reul , ACM International Conference Proceeding Series ,  2017
    Multiple

    Free

  • Auto-Encoding Variational Bayes

    Max Welling, Diederik P Kingma , Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering ,  2013
    Multiple

    Free

  • Certifying and removing disparate impact

    Sorelle Friedler, Carlos Scheidegger, Michael Feldman, John Moeller, Suresh Venkatasubramanian , Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ,  2014
    Multiple

    Free

  • Application of a Hybrid Bi-LSTM-CRF model to the task of Russian Named Entity Recognition

    M. S. Burtsev, L. T. Anh, M. Y. Arkhipov , Communications in Computer and Information Science ,  2017
    Multiple

    Free

  • An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

    Cong Yao, Xiang Bai, Baoguang Shi , IEEE Transactions on Pattern Analysis and Machine Intelligence ,  2015
    Multiple

    Free

  • Deal or No Deal? End-to-End Learning for Negotiation Dialogues

    Dhruv Batra, Denis Yarats, Devi Parikh, Yann N. Dauphin, Mike Lewis , EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings ,  2017
    Python

    Free

  • Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge

    Oriol Vinyals, Samy Bengio, Dumitru Erhan, Alexander Toshev , IEEE Transactions on Pattern Analysis and Machine Intelligence ,  2016
    Multiple

    Free

  • A Multilinear Tongue Model Derived from Speech Related MRI Data of the Human Vocal Tract

    Korin Richmond, Alexander Hewer, Ingmar Steiner, Stefanie Wuhrer , Computer Speech and Language ,  2016
    Multiple

    Free

  • Designing Neural Network Architectures using Reinforcement Learning

    Otkrist Gupta, Ramesh Raskar, Nikhil Naik, Bowen Baker , 5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings ,  2016
    Multiple

    Free

  • Learning Partial Differential Equations from Data Using Neural Networks

    Robert Ravier, Vahid Tarokh, João M. Pereira, Ali Hasan, Sina Farsiu , ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings ,  2019
    Jupyter Notebook

    Free

  • Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline

    Weizhong Yan, Tim Oates, Zhiguang Wang , Proceedings of the International Joint Conference on Neural Networks ,  2016
    Multiple

    Free

  • Suspicious News Detection Using Micro Blog Text

    Atsuo Fujimura, Tsubasa Tagami, Kazuaki Hanawa, Kentaro Inui, Hiroki Ouchi, Akinori Machino, Hiroki Asano, Ryo Yamashita, Atsushi Komiya, Kaito Suzuki, Kaori Uchiyama, Hitofumi Yanai , Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation, PACLIC 2018 ,  2018
    Unspecified

    Free

  • ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

    Xintao Wang, Jinjin Gu, Chao Dong, Xiaoou Tang, Ke Yu, Chen Change Loy, Yu Qiao, Shixiang Wu, Yihao Liu , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2018
    Multiple

    Free

  • ASAGA: Asynchronous Parallel SAGA

    Simon Lacoste-Julien, Rémi Leblond, Fabian Pedregosa , Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017 ,  2016
    Scala

    Free

  • U-Net: Convolutional Networks for Biomedical Image Segmentation

    Philipp Fischer, Olaf Ronneberger, Thomas Brox , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2015
    Multiple

    Free

  • StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

    Shaoting Zhang, Han Zhang, Xiaogang Wang, Tao Xu, Xiaolei Huang, Dimitris Metaxas, Hongsheng Li , IEEE Transactions on Pattern Analysis and Machine Intelligence ,  2017
    Multiple

    Free

  • Fast Robust Monocular Depth Estimation for Obstacle Detection with Fully Convolutional Networks

    Thomas A. Ciarfuglia, Gabriele Costante, Michele Mancini, Paolo Valigi , IEEE International Conference on Intelligent Robots and Systems ,  2016
    Multiple

    Free

  • Parse Geometry from a Line: Monocular Depth Estimation with Partial Laser Observation

    Lichao Huang, Sarath Kodagoda, Yue Wang, Yinan Yu, Yong Liu, Yiyi Liao , Proceedings - IEEE International Conference on Robotics and Automation ,  2016
    Multiple

    Free

  • Few-Shot Learning with Graph Neural Networks

    Victor Garcia, Joan Bruna , 6th International Conference on Learning Representations, ICLR 2018 - Conference Track Proceedings ,  2017
    Multiple

    Free

  • SFV: Reinforcement Learning of Physical Skills from Videos

    Angjoo Kanazawa, Sergey Levine, Jitendra Malik, Xue Bin Peng, Pieter Abbeel , SIGGRAPH Asia 2018 Technical Papers, SIGGRAPH Asia 2018 ,  2018
    Python

    Free

  • One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling

    Ciprian Chelba, Tomas Mikolov, Tony Robinson, Phillipp Koehn, Thorsten Brants, Qi Ge, Mike Schuster , Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH ,  2013
    Multiple

    Free

  • Recurrent DNNs and its Ensembles on the TIMIT Phone Recognition Task

    Josef Michalek, Josef Psutka, Jan Vanek , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2018
    Python

    Free

  • Resting state fMRI functional connectivity-based classification using a convolutional neural network architecture

    Krisztian Buza, Zoltán Vidnyánszky, Regina Meszlényi , Frontiers in Neuroinformatics ,  2017
    Python

    Free

  • Network In Network

    Min Lin, Shuicheng Yan, Qiang Chen , Neural Computing and Applications ,  2013
    Multiple

    Free

  • Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis

    Janez Demsar, Alessio Benavoli, Giorgio Corani, Marco Zaffalon , Journal of Machine Learning Research ,  2016
    Jupyter Notebook

    Free

  • Trust Region Policy Optimization

    Sergey Levine, Philipp Moritz, Michael I. Jordan, John Schulman, Pieter Abbeel , Advances in Neural Information Processing Systems ,  2015
    Multiple

    Free

  • Global Vectors for Node Representations

    Adrien Guille, Robin Brochier, Julien Velcin , The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019 ,  2019
    Jupyter Notebook

    Free

  • Understanding Convolution for Semantic Segmentation

    Panqu Wang, Ye Yuan, Garrison Cottrell, Ding Liu, Xiaodi Hou, Pengfei Chen, Zehua Huang , Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018 ,  2017
    Multiple

    Free

  • Inferring network connectivity from event timing patterns

    Jose Casadiego, Marc Timme, Dimitra Maoutsa , Physical Review Letters ,  2018
    Python

    Free

  • Unifying Registration based Tracking: A Case Study with Structural Similarity

    Martin Jagersand, Mennatullah Siam, Abhineet Singh , Proceedings - 2017 IEEE Winter Conference on Applications of Computer Vision, WACV 2017 ,  2016
    C++

    Free

  • SOL: A Library for Scalable Online Learning Algorithms

    Jing Lu, Doyen Sahoo, Yue Wu, Nenghai Yu, Steven C. H. Hoi, Chenghao Liu , Neurocomputing ,  2016
    Terra

    Free

  • Fast Nonparametric Conditional Density Estimation

    Michael P. Holmes, Charles Lee Isbell, Alexander G. Gray , Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence, UAI 2007 ,  2012
    Jupyter Notebook

    Free

  • GuacaMol: Benchmarking Models for De Novo Molecular Design

    Nathan Brown, Marco Fiscato, Marwin H. S. Segler, Alain C. Vaucher , Journal of Chemical Information and Modeling ,  2018
    Multiple

    Free

  • Identity Mappings in Deep Residual Networks

    Xiangyu Zhang, Shaoqing Ren, Kaiming He, Jian Sun , Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition ,  2016
    Multiple

    Free

  • Deep Biaffine Attention for Neural Dependency Parsing

    Timothy Dozat, Christopher D. Manning , 5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings ,  2016
    Multiple

    Free

  • Beyond Correlation: A Path-Invariant Measure for Seismogram Similarity

    William Junek, Brett Borghetti, Richard Martin, Joshua Dickey , Seismological Research Letters ,  2019
    Jupyter Notebook

    Free

  • Recurrent CNN for 3D Gaze Estimation using Appearance and Shape Cues

    Cristina Palmero, Mohammad Ali Bagheri, Sergio Escalera, Javier Selva , British Machine Vision Conference 2018, BMVC 2018 ,  2018
    Multiple

    Free

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