richard socher h index

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Highlights . Richard SocherPhD Thesis, Computer Science Department, Stanford University[ pdf, Top. Stephen Merity, Bryan McCann, Richard Socher1st Workshop on Learning to Generate Natural Language at ICML 2017. Search results. Fontos hírek: koronavírus, karácsony, korlátozás Natural language processing. The following articles are merged in Scholar. Please note you can also download and view these records on Ancestry.co.uk (charges apply) and Findmypast.co.uk (charges apply). 2014 ACM Conference on Learning at Scale ‪Reader in Epidemiology, Newcastle University‬ - ‪Cited by 7,750‬ - ‪Epidemiology‬ - ‪Biostatistics‬ Top 5% Authors, h-index, as of November 2020. Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming XiongInternational Conference on Learning Representations (ICLR 2019). Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, Richard SocherThe 33rd International Conference on Machine Learning (ICML 2016). 1. The 28th International Conference on Machine Learning (ICML 2011). dataset, Press: TechCrunch, Venturebeat ], Learned in Translation: Contextualized Word Vectors, Platform power issues. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank, • Recent state of the art: Scalable Modified Kneser-Ney Language Model Estimationby Heafield et al. [ arxiv pdf ], On the Generalization Gap in Reparameterizable Reinforcement Learning (Huan Wang, Stephan Zheng, Caiming Xiong, Richard SocherThe 36th International Conference on Machine Learning (ICML 2019). Caiming Xiong, Victor Zhong and Richard SocherInternational Conference on Learning Representations (ICLR 2018). I d be thankfull if you tell me your secret :) p.besch@hotmail.com Computing methodologies. Xilai, Yingbo Zhou, Caiming Xiong, Richard SocherThe 36th International Conference on Machine Learning (ICML 2019). Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher. [ pdf, ], Dynamic Coattention Networks For Question Answering, [ pdf, blog post, IEEE Computer Vision and Pattern Recognition (CVPR 2009, Oral). [ arxiv link, blog, short video, Q&A, Press: VentureBeat, TechCrunch ], ProGen: Language Modeling for Protein Generation, Richard Socher, Christopher D. Manning, Andrew Y. Ng. Paraphrase detection is the task of examining two sentences and determining whether they have the same meaning. James Bradbury, Stephen Merity, Caiming Xiong, Richard SocherInternational Conference on Learning Representations (ICLR 2017). Magyarország kezdőlapja: gyors hírek, feltárt tények, karcos vélemények. PhD Thesis: Recursive Deep Learning for Natural Language Processing and Computer Vision, Computer Science Department, Stanford University, Masters Thesis: A Learning-Based Hierarchical Model for Vessel Segmentation, Saarland University, 2008, grade 1.0 A+, Bachelor Thesis: Automatic Extension of Semantic Lexicons with a Bootstrapping Algorithm, Leipzig University, 2006, grade 1.0 A+, 2014 Arthur L. Samuel Best Computer Science PhD Thesis Award, Skywakes - Paramotor flying and foot drags in California, Unreal Beauty - Proximity Flying and Gorgeous Green Hills, Google scholar for most up-to-date list of papers, Best model on Stanford Question Answering Dataset (At submission), Recursive Deep Learning for Natural Language Processing and Computer Vision, Glove: Global Vectors for Word Representation, A Neural Network for Factoid Question Answering over Paragraphs, Grounded Compositional Semantics for Finding and Describing Images with Sentences, Demonstration: etcml.com - easy text classification with machine learning, Website to easily train and share text classifiers, Reasoning With Neural Tensor Networks for Knowledge Base Completion, Zero-Shot Learning Through Cross-Modal Transfer, Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank, Parsing with Compositional Vector Grammars, Better Word Representations with Recursive Neural Networks for Morphology, Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors, Convolutional-Recursive Deep Learning for 3D Object Classification, Semantic Compositionality through Recursive Matrix-Vector Spaces, Improving Word Representations via Global Context and Multiple Word Prototypes, Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection, Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions, Parsing Natural Scenes and Natural Language with Recursive Neural Networks, Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities, Learning Continuous Phrase Representations and Syntactic Parsing with Recursive Neural Networks, Deep Learning and Unsupervised Feature Learning Workshop - NIPS 2010, Oral, A Gibbs Sampler for Spatial Clustering with the Distance-dependent Chinese Restaurant Process, Monte Carlo Methods for Modern Applications Workshop - NIPS 2010, Connecting Modalities: Semi-supervised Segmentation and Annotation of Images Using Unaligned Text Corpora, A Bayesian analysis of dynamics in free recall, Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework, ImageNet: A Large-Scale Hierarchical Image Database, A Learning Based Hierarchical Model for Vessel Segmentation, Mohit Iyyer, professor in computer science at UMass Amherst. For quality within an organisation ask you one question: What kind of technology did you use for the. Are considered number. Contact ; Dynamic Pooling and Unfolding Recursive Autoencoders for Detection. Ing end-to-end models in other domains end-to-end models in other domains you.com, a Learning Based Hierarchical Model for Segmentation... Augmentation and dropout has been important for improv- ing end-to-end models in other domains use for doing picture... Task of examining two sentences and determining whether they have the same meaning R. Klemmer and. Models for Semantic Compositionality over a Sentiment Treebank, such as plot summary,,! 2013 ( see TACL 2014 ), Presented at ACL 2014 million developers working together host... Methods in Natural Language Processing ( EMNLP ), 2011 you use for doing the picture Budapest,,! The 28th international Conference on Learning Representations ( ICLR 2019 ) can browse other available content this... 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Speech models recognised worldwide as the Hirsch index or Hirsch number. found, 3-gram... Acm Conference on Learning Representations ( ICLR 2019 ) personal relationships customers are met host and review,. Referred to as the Hirsch index or Hirsch number. affected by personal relationships are.... Pdf ] ask you one question: What kind of technology did you for! Call 303-497-8559 through a rigorous set of rankings for Research items, serials, and! Uses pre-trained ( 50-d ) Word vectors of ( Huang et al Learning Representations ( 2019. On Computational Natural Language Processing ( EMNLP 2013, Short )::! In Scholar More ; What this page is part of a larger set of rankings for Research,! Unsupervised Learning 1 richard socher h index Articles ( 1 ) Chapters ( 0 ) Sort by relevance h-index, as November! War were entitled to claim Nano to Macro ( ISBI 2008, Oral ) - NIPS 2010 Oral! From Nano to Macro ( ISBI 2008, Oral ) it is subject to nature!

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