Richard Socher, Christopher D. Manning, Andrew Y. Ng. Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, Caiming Xiong, Richard Socher. Blogs. Related Kaggle Competition ]; Bilingual Word Embeddings for Phrase-Based Machine Translation, Richard Socher, John Bauer, Christopher D. Manning and Andrew Y. Ng. [ pdf, Supplementary Material, Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank, Press: CNBC, Venturebeat, Slator ], DCN+: Mixed Objective and Deep Residual Coattention for Question Answering, Jeffrey Pennington, Richard Socher, and Christopher D. Manning. Comments. Advances in Neural Information Processing Systems (NIPS 2013). Top. [ pdf ], A Learning Based Hierarchical Model for Vessel Segmentation, Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, Richard SocherConference on Empirical Methods in Natural Language Processing (EMNLP 2017). For further assistance in this process, please Ask a Librarian or call 303-497-8559. [ pdf ]. [ pdf, website ], Zero-Shot Learning Through Cross-Modal Transfer, [ pdf , website with word vectors ]. Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, Pascale FungThe 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019). These records are index cards created by the Army Medal Office towards the end of the First World War. Giovanni Campagna, Silei Xu, Mehrad Moradshahi, Richard Socher, Monica S. LamPLDI 2019 Richard Socher, Eric H. Huang, Jeffrey Pennington, Andrew Y. Ng, and Christopher D. Manning. 615 ... Co-authors. Therefore, we investigate … Richard H. Thaler, Cass R. Sunstein, Nudge: Improving decisions about health, wealth, and happiness TC Leonard Constitutional Political Economy 19 (4), 356-360 , 2008 [ arxiv pdf ], Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation, Richard Socher; Publications; Deep Learning Tutorial; Notes & Misc. Computing methodologies. Richard Socher, Andrew Maas, Christopher D. Manning. Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher and Dragomir Radev2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019). GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. Chien-Sheng Wu, Richard Socher, Caiming XiongInternational Conference on Learning Representations (ICLR 2019). Deep Learning Workshop at NIPS 2013 (see TACL 2014 version). Website with Live Demo and Downloads; Mingfei Gao, Larry Davis, Richard Socher, Caiming Xiong.2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019). Yingbo Zhou, Caiming Xiong, Richard Socher Salesforce Research ABSTRACT Regularization is important for end-to-end speech models, since the models are highly flexible and easy to overfit. [ arxiv pdf ], Efficient and Robust Question Answering from Minimal Context over Documents, Gerald lived in Pittsburgh, Pennsylvania 15220, USA. Sort by latest. Association for Computational Linguistics 2013 Conference (ACL 2013). Silicon Angle, Jiatao Gu, James Bradbury, Caiming Xiong, Victor O.K. Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong. You can browse other available content for this title, such as plot summary, trivia, goofs, etc. [ arxiv pdf ], Competitive experience replay, The Merck Index* MarinLit. The field of photovoltaics gives the opportunity to make our buildings ‘‘smart’’ and our portable devices “independent”, provided effective energy sources can be developed for use in ambient indoor conditions. The h-index is sometimes referred to as the Hirsch index or Hirsch number.) Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher. [ pdf, website ], Semantic Compositionality through Recursive Matrix-Vector Spaces, Conference on Computational Natural Language Learning (CoNLL 2013). Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming XiongInternational Conference on Learning Representations (ICLR 2019). Association for Computational Linguistics 2012 Conference (ACL 2012). 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. 410. Nearest neighbors. Filters. ], Global Belief Recursive Neural Networks, Amid the current climate, Richard Haward's Oysters, are giving you 10% off all products and charging only £5.00 delivery. Small subset of students or interns that I supervised at some point. 2013) uses pre-trained (50-d) word vectors of (Huang et al. GloVe: Global Vectors for Word Representation. à Gigantic RAM requirements! [ arxiv pdf, blog post ], Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning, Caiming Xiong, Victor Zhong and Richard SocherInternational Conference on Learning Representations (ICLR 2018). Eric H. Huang, Richard Socher, Christopher D. Manning and Andrew Y. Ng. The Euclidean distance (or cosine similarity) between two word vectors provides an effective method for measuring the linguistic or semantic similarity of the corresponding words. The h-index may be less useful in some disciplines, particularly some areas of the humanities. Recommendations from peers. David McClosky, Wanxiang Che, Marta Recasens, Mengqiu Wang, Richard Socher, and Christopher D. Manning In Proceedings of First Workshop on Syntactic Analysis of Non-Canonical Language (SANCL at NAACL, 2012). But ive to ask you one question: What kind of technology did you use for doing the picture Budapest, Hungary, 2009. [ pdf ], Aspect Specific Sentiment Analysis using Hierarchical Deep Learning, Demonstration: etcml.com - easy text classification with machine learning, The ones marked, J Deng, W Dong, R Socher, LJ Li, K Li, L Fei-Fei, 2009 IEEE conference on computer vision and pattern recognition, 248-255, Proceedings of the 2014 conference on empirical methods in natural language …, R Socher, A Perelygin, JY Wu, J Chuang, CD Manning, AY Ng, CP Potts, Advances in neural information processing systems 26, 926-934, R Socher, J Pennington, EH Huang, AY Ng, CD Manning, Proceedings of the 2011 conference on empirical methods in natural language …, Proceedings of the 2012 joint conference on empirical methods in natural …, Proceedings of the 50th Annual Meeting of the Association for Computational …, Advances in neural information processing systems 26, 935-943. At first glance, this seems like a good idea in principle. Chinmay Kulkarni, Richard Socher, Michael S. Bernstein, Scott R. Klemmer. Richard Socher Startup Verified email at stanford.edu. Step 1 - Setting Up a Google Scholar Profile To create a profile, you must log in to scholar.google.com with your ucar.edu email or any other valid Google account. [ bioRxiv link, blog ], Dye-sensitized solar cells under ambient light powering machine learning: towards autonomous smart sensors for the internet of things, Each and every product supplied goes through a rigorous set of specified tests at an on-site laboratory. James Bradbury, Richard SocherProceedings of the First Conference on Machine Translation. Abstract Neural network architectures with memory and attention mechanisms exhibit certain reason- ing capabilities required for question answering. Deep Learning and Unsupervised Feature Learning Workshop - NIPS 2010, Oral. Aloha, 8 Richard Socher 4/21/16 • Performance improves with keeping around higher n - grams counts and doing smoothing and so -called backoff(e.g. Himabindu Lakkaraju, Richard Socher, Chris Manning.NIPS Workshop on Deep Learning and Representation Learning, 2014. A FAQ is available. [ arxiv pdf ], An Analysis of Neural Language Modeling at Multiple Scales, Association for Computational Linguistics. Ali Madani, Bryan McCann, Nikhil Naik, Nitish Shirish Keskar, Namrata Anand, Raphael R Eguchi, Possu Huang and Richard Socher. [ arxiv pdf ], Self-Monitoring Navigation Agent via Auxiliary Progress Estimation, Historical Collection . For Librarians. 2014 Arthur L. Samuel Best Computer Science PhD Thesis Award [ arxiv pdf ], Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering, 2014. Numbe… [ Website to easily train and share text classifiers; Visual-Semantic Word Space Semantic Space E. H. Huang, R. Socher, C. D. Manning, andA. Association for Computational Linguistics 2018 Conference (ACL 2018). Also appeared in NIPS 2016 Continual Learning and Deep Networks Workshop. Im very impressed by some of your pics, and I have to elicitate you for that great job! [ pdf, blog post ], Improving Generalization Performance by Switching from Adam to SGD, Hannes Michaels, Michael Rinderle, Richard Freitag, Lacopo Benesperi, Tomas Edvinsson, Richard Socher, Alessio Gagliardib and Marina FreitagIssue11, (Chemical Science 2020). Richard Socher, Brody Huval, Bharath Bhat, Christopher D. Manning and Andrew Y. Ng. Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong and Richard SocherThe 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019). [ pdf, code ], A Flexible Approach to Automated RNN Architecture Generation, [ pdf, website ], Grounded Compositional Semantics for Finding and Describing Images with Sentences, I am currently the CEO of you.com, a new trusted search engine. [ pdf ]. Victor Zhong, Caiming Xiong, Richard Socher. IEEE Computer Vision and Pattern Recognition (CVPR 2010). Richard Socher, Milind Ganjoo, Hamsa Sridhar, Osbert Bastani, Christopher D. Manning, Andrew Y. Ng. … Sort by relevance. Natural language processing. Stephen Merity, Caiming Xiong, James Bradbury, Richard SocherInternational Conference on Learning Representations (ICLR 2017) and NIPS 2016 Workshop on Multi-class and Multi-label Learning in Extremely Large Label Spaces. However, it is subject to human nature, so perceived performance will inevitably be affected by personal relationships. [ arxiv pdf, Challenge and Leaderboard ], Global-to-local Memory Pointer Networks for Task-Oriented Dialogue, Previous versions appeared at NIPS 2015 Deep Learning Symposium; NIPS 2015 workshop on Reasoning, Attention and Memory Workshop [ pdf , Wired, MIT Tech Review, MetaMind announcement ], Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks, [ pdf , website ], Better Word Representations with Recursive Neural Networks for Morphology, Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank. [ arxiv pdf ], Unifying Question Answering and Text Classification via Span Extraction, Nitish Shirish Keskar, Richard Socher[ arxiv pdf ], Improved Regularization Techniques for End-to-End Speech Recognition, In 2014, I got my PhD in the CS Department at Stanford. Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher[ arxiv pdf ], Learn to Grow: A Continual Structure Learning Framework for Catastrophic Forgetting, Try again later. [ pdf, video, website ], Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities, The following articles are merged in Scholar. [ arxiv pdf, blog post ], Improving End-to-End Speech Recognition with Policy Learning, Alex Trott, Stephan Zheng, Caiming Xiong, Richard Socher.Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019). Li-Jia Li, Richard Socher, and Li Fei-Fei. Mersea Oysters are some of the finest in the world and we are proud to supply some of the top restaurants in the country. IEEE Computer Vision and Pattern Recognition (CVPR 2009, Oral). They record the medals that men and women who served in the First World War were entitled to claim. Platform power issues. Stephen Merity, Martin Schrimpf, James Bradbury, Richard SocherInternational Conference on Learning Representations (ICLR 2018 Workshop Track). (NIPS 2011) IBuilding high-level features using large scale unsupervised learning. Richard Socher, Adrian Barbu, and Dorin Comaniciu. [ pdf ], Parsing with Compositional Vector Grammars, Artificial intelligence . ZDNet ], SParC: Cross-Domain Semantic Parsing in Context, [ pdf, bib ], Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection, [ pdf, website ], Stanford’s System for Parsing the English Web, [ pdf, blog post, Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2011). Subscribe. [ arxiv pdf, blog post ], A Deep Reinforced Model for Abstractive Summarization, Historical records and family trees related to Robert Socher. All (1) Articles (1) Chapters (0) Sort by relevance. Conference on Empirical Methods in Natural Language Processing (EMNLP 2013) Dataset Downloads: Main zip file with readme (6mb) Dataset raw counts (5mb) Train,Dev,Test Splits in PTB Tree Format. Romain Paulus, Richard Socher firstname@metamind.io, MetaMind, Palo Alto, CA USA Abstract Most tasks in natural language processing can be cast into question answering (QA) problems over language input. Power estimation and optimization. Richard Socher, Brody Huval, Christopher D. Manning and Andrew Y. Ng. Yingbo Zhou, Caiming Xiong, Richard Socher Salesforce Research ABSTRACT Connectionist temporal classification (CTC) is widely used for maximum likelihood learning in end-to-end speech recog-nition models. However, they are relatively under explored for end-to-end speech models. Hardware. Please shop local and support small businesses. 820. Ankit Kumar - Co-Founder & CTO - Ubiquity6 Inc. Richard Haworth believes the quality and consistency are key to ensuring the high demands of customers are met. [ pdf, blog post, Press: Forbes, MIT Tech Review, TechCrunch ], Non-Autoregressive Neural Machine Translation, International Conference on Learning Representations (ICLR 2019). Verified email at norceresearch.no [ pdf, website ], Parsing Natural Scenes and Natural Language with Recursive Neural Networks, ‪you.com‬ - ‪Cited by 73,983‬ - ‪natural language processing‬ - ‪deep learning‬ - ‪machine learning‬ - … (Spotlight) [ pdf ], ImageNet: A Large-Scale Hierarchical Image Database, [ pdf, website ], Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions, 2012): 7. Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher. 2014 ACM Conference on Learning at Scale Richard Socher and Christopher D. Manning. Login options. International Conference on Learning Representations (ICLR 2013, Workshop Track, Oral). Improving Word Representations via Global Context and Multiple Word Prototypes, Eric H. Huang, Richard Socher, Christopher D. Manning and Andrew Y. Ng. Richard Socher, Andrej Karpathy, Quoc V. Le, Christopher D. Manning, Andrew Y. Ng. Toward Automatic Task Design: A Progress Report . if 4-gram not found, try 3-gram, etc) • There are A LOT of n-grams! However, there is usually a disparity between the negative maximum likelihood and the performance met- Romain Paulus, Caiming Xiong, Richard SocherInternational Conference on Learning Representations (ICLR 2018). [ arxiv pdf, code ], Explain Yourself! International Conference on Learning Representations (ICLR 2019). h-index: 11: 11: i10-index : 13: 13: 0. Mohit Iyyer, Jordan Boyd-Graber, Leonardo Claudino, Richard Socher and Hal Daumé IIIConference on Empirical Methods in Natural Language Processing (EMNLP 2014). Luowei Zhou, Yingbo Zhou, Jason J. Corso, Richard Socher, Caiming XiongIEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018). Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher[ arxiv pdf, RSS Feeds. International Conference on Learning Representations (ICLR 2013, Workshop Track). Wojciech Kryściński, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher.2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019). InACL, 2012 • (Socher et al. Eric Huang, Haoqi Zhang, David C. … [ arxiv link ], CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases, Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter Lasecki, Dragomir Radev.2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019). Stephen Merity, Bryan McCann, Richard Socher1st Workshop on Learning to Generate Natural Language at ICML 2017. [ arxiv pdf ], A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation, [ pdf ]. Xilai, Yingbo Zhou, Caiming Xiong, Richard SocherThe 36th International Conference on Machine Learning (ICML 2019). Only authors registered with the RePEc Author Service are considered. Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher. Advances in Neural Information Processing Systems (NIPS 2013). [ pdf , New York Times, MIT Technology Review ], Ask Me Anything: Dynamic Memory Networks for Natural Language Processing, We are also proud to have achieved ISO 9001:2015 standards, recognised worldwide as the international benchmark for quality within an organisation. [ pdf ]. Improving Word Representations via Global Context and Multiple Word Prototypes. Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong.International Conference on Learning Representations (ICLR 2019). Conference on Empirical Methods in Natural Language Processing (EMNLP 2013, Oral). [ arxiv link ], WSLLN: Weakly Supervised Natural Language Localization Networks, [ arxiv pdf, Blog Post, Github, Press: VentureBeat, Jeffrey Pennington, Richard Socher and Christopher D. ManningConference on Empirical Methods in Natural Language Processing (EMNLP 2014). Stephen Merity, Nitish Shirish Keskar, Richard Socher[ arxiv pdf, github code ], Interpretable Counting for Visual Question Answering, International Conference on Learning Representations (ICLR 2019). Xi Victoria Lin, Richard Socher, Caiming XiongConference on Empirical Methods in Natural Language Processing (EMNLP 2018). Richard Socher, Jeffrey Pennington, Eric Huang, Andrew Y. Ng, and Christopher D. Manning. Conference on Empirical Methods in Natural Language Processing (EMNLP 2011, Oral). Advances in Neural Information Processing Systems 22 (NIPS 2009). [ arxiv link, blog, short video, Q&A, Press: VentureBeat, TechCrunch ], ProGen: Language Modeling for Protein Generation, Gerald H Socher 1917 1996 Gerald H Socher in U.S. Social Security Death Index (SSDI) Gerald H Socher was born on January 20 1917. Power and energy. Richard Socher, Eric H. Huang, Jeffrey Pennington, Andrew Y. Ng, and Christopher D. Manning. More. Data augmentation and dropout has been important for improv- ing end-to-end models in other domains. [7] Richard Socher, Jeffrey Pennington, Eric H Huang, Andrew Y Ng, and Christopher D Manning. Wojciech Kryściński, Romain Paulus, Caiming Xiong, Richard SocherConference on Empirical Methods in Natural Language Processing (EMNLP 2018). I like paramotor adventures, traveling and photography. Also, if a lesser known scientist publishes a ground-breaking publication, then he/she would likely get less recognition than if the same paper was published by a more eminent colleague. Richard Socher and Li Fei-Fei. 205. ]. [ arxiv pdf, blog ], Global-Locally Self-Attentive Encoder for Dialogue State Tracking, Y. Ng. Check if you have access through your login credentials or your institution … The 28th International Conference on Machine Learning (ICML 2011). [ pdf, website with vectors ], Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors, Dismiss Join GitHub today. Richard Socher, Milind Ganjoo, Christopher D. Manning, Andrew Y. Ng. Richard SocherPhD Thesis, Computer Science Department, Stanford University[ pdf, Education in Chemistry. Google scholar for most up-to-date list of papers. [ pdf, blog post, Best model on Stanford Question Answering Dataset (At submission) ], Quasi-Recurrent Neural Networks, [ arxiv pdf ], The Natural Language Decathlon: Multitask Learning as Question Answering, The methods that might spring to mind at first are: 1. [ pdf, 2nd Place in the competition ], Dynamic Memory Networks for Visual and Textual Question Answering, Danqi Chen, Richard Socher, Christopher D. Manning, Andrew Y. Ng. Caiming Xiong, Victor Zhong, Richard SocherInternational Conference on Learning Representations (ICLR 2017). Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards, [ arxiv pdf ], Regularizing and Optimizing LSTM Language Models, Richard Socher, Romain Paulus, Bryan McCann, Kai Sheng Tai, JiaJi Hu, Andrew Y. Ng. [ paper link ], CTRL: A Conditional Transformer Language Model for Controllable Generation, Top 5% Authors, h-index, as of November 2020. Fontos hírek: koronavírus, karácsony, korlátozás Victor Zhong, Caiming Xiong, Richard Socher[ arxiv pdf, blog post, Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. Sort by oldest. One such architecture, the dynamic memory net-work (DMN), obtained high accuracy on a … Caiming Xiong Salesforce Research Verified email at salesforce.com. Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S Davis.Conference on Computer Vision and Pattern Recognition (CVPR 2019). Romain Paulus, Richard Socher, Christopher D. Manning Advances in Neural Information Processing Systems (NIPS 2014). Richard Socher, Sam J. Gershman, Adler Perotte, Per Sederberg, Ken A. Norman, and David M. Blei. Highlights . Association for Computational Linguistics 2018 Conference (ACL 2018). code and leaderboard, blog post, Q&A, Press: VentureBeat, zdnet, FAZ (German), SiliconAngle ], Multi-Hop Knowledge Graph Reasoning with Reward Shaping, Kai Sheng Tai, Richard Socher, and Christopher D. ManningAssociation for Computational Linguistics 2015 Conference (ACL 2015). Richard Socher, Jeffrey Pennington, Eric H. Huang, Andrew Y. Ng and Christopher D. Manning. [ 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). ‪Reader in Epidemiology, Newcastle University‬ - ‪Cited by 7,750‬ - ‪Epidemiology‬ - ‪Biostatistics‬ [ pdf ], Pointer Sentinel Mixture Models, Bryan McCann, James Bradbury, Caiming Xiong, Richard SocherAdvances in Neural Information Processing Systems (NIPS 2017). [ pdf , code ], Recursive Deep Learning for Natural Language Processing and Computer Vision, The State of Text Summarization: A Critical Evaluation, Tianmin Shu, Caiming Xiong, and Richard SocherInternational Conference on Learning Representations (ICLR 2018). [ pdf, website ], Convolutional-Recursive Deep Learning for 3D Object Classification, [ pdf ], A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks, Monte Carlo Methods for Modern Applications Workshop - NIPS 2010. [ pdf, blog post ], Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling, Hakan Inan, Khashayar Khosravi, Richard SocherInternational Conference on Learning Representations (ICLR 2017). Wired, For Members. James Bradbury Google Brain Verified email at google.com. [ pdf (added details on 3/3/2012) ], A Gibbs Sampler for Spatial Clustering with the Distance-dependent Chinese Restaurant Process, • Recent state of the art: Scalable Modified Kneser-Ney Language Model Estimationby Heafield et al. Caiming Xiong*, Stephen Merity*, Richard Socher fCMXIONG,SMERITY,RICHARDgMETAMIND.IO MetaMind, Palo Alto, CA USA *indicates equal contribution. Search results. Advances in Neural Information Processing Systems (NIPS 2012). Conference on Empirical Methods in Natural Language Processing (EMNLP 2012, Oral). Press: GigaOM, Stanford ], Reasoning With Neural Tensor Networks for Knowledge Base Completion, Please note you can also download and view these records on Ancestry.co.uk (charges apply) and Findmypast.co.uk (charges apply). Karim Ahmed, Nitish Shirish Keskar, Richard Socher[ arxiv pdf, blog post ], Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning, Machine learning. Most of the cards are for soldiers in the … Explanations; Ranking; More; What this page is about. 2. [ arxiv link, code (pre-trained and fine-tuning), blog ], Genie: a generator of natural language semantic parsers for virtual assistant commands, [ pdf ], A Bayesian analysis of dynamics in free recall, Records may include photos, original documents, family history, relatives, specific dates, locations and full names. [ pdf, website ], Zero-Shot Learning Through Cross-Modal Transfer, Richard Socher, Quoc V. Le, Christopher D. Manning, Andrew Y. Ng. Nitish Shirish Keskar Salesforce Research Verified email at salesforce.com. Richard Socher*, Danqi Chen*, Christopher D. Manning, Andrew Y. Ng. There are over 5 million cards, held in series WO 372. [ arxiv link ], Editing-based SQL Query Generation for Cross-Domain Context-Dependent Questions, This page is part of a larger set of rankings for research items, serials, authors and institutions made available on this site. Semi-supervised recursive autoencoders for predicting sentiment distributions.In Proceedings of the Confer-ence on Empirical Methods in Natural Language Processing, pages 151–161.Association for Computa-tional Linguistics, 2011. Jiasen Lu, Caiming Xiong, Devi Parikh, Richard SocherIEEE Computer Vision and Pattern Recognition (CVPR 2017). Alexander Trott, Caiming Xiong, Richard SocherInternational Conference on Learning Representations (ICLR 2018). Photography; Contact; Dynamic Pooling And Unfolding Recursive Autoencoders For Paraphrase Detection . Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard SocherInterspeech 2018. Their, This "Cited by" count includes citations to the following articles in Scholar. I d be thankfull if you tell me your secret :) p.besch@hotmail.com Glove: Global Vectors for Word Representation, @inproceedings{HuangEtAl2012, author = {Eric H. Huang and Richard Socher and Christopher D. Manning and Andrew Y. Ng}, title = {{Improving Word Representations via Global Context and Multiple Word Prototypes}}, booktitle = {Annual Meeting of the Association for Computational Linguistics (ACL)}, year = 2012} Comments . e.g., an h-index of 25 means the researcher has 25 papers, each of which has been cited 25+ times. Index Terms (auto-classified) Semi-supervised recursive autoencoders for predicting sentiment distributions. Caiming Xiong, Stephen Merity, Richard SocherThe 33rd International Conference on Machine Learning (ICML 2016). [ arxiv pdf ], AdaFrame: Adaptive Frame Selection for Fast Video Recognition, Outstanding Paper Award. code, Press: MIT Tech Review ], Revisiting Activation Regularization for Language RNNs,

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