Prior he was the CEO and founder of MetaMind, a startup which was recently acquired by Salesforce. Nikhil Naik, 1 Ali Madani, # 1 Andre Esteva, # 1 Nitish Shirish Keskar, 1 Michael F. Press, 2 Daniel Ruderman, 3 David B. Agus, 3 and Richard Socher 1 Nikhil Naik 1 Salesforce Research, 575 High St, Palo Alto, CA 94301 USA IEEE Fellow (2019) [ ENG | CHN] ACM Distinguished Member Lee Kuan Yew Fellow (2018) Lee Kong Chian Fellow (2016) Li, Richard SocherInternational Conference on Learning Representations (ICLR 2018). [ pdf, Supplementary Material, Richard Socher and Christopher D. Manning. [ Website to easily train and share text classifiers; Generative modeling for protein engineering is key to solving fundamental problems in synthetic biology, medicine, and material science. And he took a very critical stance on deep learning. [ pdf, website with dataset, code, etc. Shayne Longpre, Sabeek Pradhan, Caiming Xiong, Richard Socher[ pdf ], MetaMind Neural Machine Translation System for WMT 2016, Chien-Sheng Wu, Richard Socher, Caiming XiongInternational Conference on Learning Representations (ICLR 2019). Association for Computational Linguistics 2018 Conference (ACL 2018). [ pdf, blog post ], Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling, [ pdf, code ], A Flexible Approach to Automated RNN Architecture Generation, [ arxiv pdf ], Taming MAML: Control variates for unbiased meta-reinforcement learning gradient estimation, [ arxiv pdf ], An Analysis of Neural Language Modeling at Multiple Scales, More info: For most recent talk announcements, see me on Twitter, Skywakes - Paramotor flying and foot drags in CaliforniaUnreal Beauty - Proximity Flying and Gorgeous Green Hills. 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). Speaker: Richard Socher, Stanford University Time: Wednesday, April 17, 2013, 11:00 AM Venue: AVW 3258. BIO. Li-Jia Li, Richard Socher, and Li Fei-Fei. Get a constantly updating feed of breaking news, fun stories, pics, memes, and videos just for you. [ pdf, blog post, Best model on Stanford Question Answering Dataset (At submission) ], Quasi-Recurrent Neural Networks, Jeffrey Pennington, Richard Socher and Christopher D. ManningConference on Empirical Methods in Natural Language Processing (EMNLP 2014). Alexander Trott, Caiming Xiong, Richard SocherInternational Conference on Learning Representations (ICLR 2018). ICLR 2021 • Jesse Vig • Ali Madani • Lav R. Varshney • Caiming Xiong • Richard Socher • Nazneen Fatema Rajani Transformer architectures have proven to learn useful representations for protein classification and generation tasks. Richard Socher (Chief Scientist, Salesforce) 2:10pm. Conference on Computational Natural Language Learning (CoNLL 2013). Richard Socher is Chief Scientist at Salesforce and an adjunct professor at the Stanford Computer Science Department. ]. Association for Computational Linguistics. dataset, Press: TechCrunch, Venturebeat ], Learned in Translation: Contextualized Word Vectors, He leads the company’s research efforts and brings state of the art artificial intelligence solutions into the platform. Silicon Angle, Conference on Empirical Methods in Natural Language Processing (EMNLP 2012, Oral). In 2012, I co-taught a free online course on Natural Language Processing, one of the earliest MOOCs on Coursera, with Dan Jurafsky. [ arxiv pdf, code ], Explain Yourself! [ pdf, new dataset ], A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs, In 2014, he got his PhD at Stanford where he worked with Chris Manning and Andrew Ng. International Conference on Learning Representations (ICLR 2019). He leads the company’s research efforts and brings state of the art artificial intelligence solutions into the platform. Richard Socher*, Danqi Chen*, Christopher D. Manning, Andrew Y. Ng. Oscars Best Picture Winners Best Picture Winners Golden Globes Emmys STARmeter Awards San Diego Comic-Con New York Comic-Con Sundance Film Festival Toronto Int'l Film Festival Awards Central Festival Central All Events [ pdf, ], Dynamic Coattention Networks For Question Answering, BIO: Richard Socher is Chief Scientist at Salesforce. He also placed an album in the Top 10 of Billboard's New Age Albums chart. [ arxiv link, code (pre-trained and fine-tuning), blog ], Genie: a generator of natural language semantic parsers for virtual assistant commands, [ pdf ], Aspect Specific Sentiment Analysis using Hierarchical Deep Learning, He is interested in developing new deep learning models that learn useful features, capture compositional structure in multiple modalities and perform well across different tasks. International Conference on Learning Representations (ICLR 2013, Workshop Track). [ pdf , New York Times, MIT Technology Review ], Ask Me Anything: Dynamic Memory Networks for Natural Language Processing, Richard obtained his PhD from Stanford working on deep learning with Chris Manning and Andrew Ng and won the best Stanford CS PhD thesis award. author bio. Caiming Xiong, Stephen Merity, Richard SocherThe 33rd International Conference on Machine Learning (ICML 2016). Jiatao Gu, James Bradbury, Caiming Xiong, Victor O.K. Prior, Richard was an adjunct professor at the Stanford Computer Science Department and the CEO and founder of MetaMind, a startup acquired by Salesforce in April 2016. [ arxiv pdf, Challenge and Leaderboard ], Global-to-local Memory Pointer Networks for Task-Oriented Dialogue, Richard Socher, ex-Chief Scientist at Salesforce, joins us to talk about The AI Economist, NLP protein generation and biggest challenge in making ML work in the real world. Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, Caiming Xiong, Richard Socher. [ pdf, blog post ], Improving Generalization Performance by Switching from Adam to SGD, He is interested in developing new deep learning models that learn useful features, capture compositional structure in multiple modalities and perform well across different tasks. MetaMind’s deep learning AI platform analyzes, labels and makes predictions on image and text data so businesses can make smarter, faster and more accurate decisions than ever before. Richard enjoys research and applications of machine learning, deep learning, natural language processing and computer vision. Victor Zhong, Caiming Xiong, Richard Socher[ arxiv pdf, blog post, 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). Richard Socher is Chief Scientist at Salesforce, where he leads the company’s research efforts and works on bringing state of the art artificial intelligence solutions to Salesforce. [ pdf, bib ], Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection, [ 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). [ arxiv link ], Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems, Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2011). [ pdf ], ImageNet: A Large-Scale Hierarchical Image Database, [ arxiv pdf ], Regularizing and Optimizing LSTM Language Models, Le mot masochisme est formé à partir de son nom. [ pdf, blog post, Richard Socher is Chief Scientist at Salesforce and an adjunct professor at the Stanford Computer Science Department. Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher. [ pdf ], Learning Continuous Phrase Representations and Syntactic Parsing with Recursive Neural Networks, Before that I was a senior researcher at MetaMind. Website with Live Demo and Downloads; Victor Zhong, Caiming Xiong, Richard Socher. Romain Paulus, Caiming Xiong, Richard SocherInternational Conference on Learning Representations (ICLR 2018). Luowei Zhou, Yingbo Zhou, Jason J. Corso, Richard Socher, Caiming XiongIEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018). Richard Socher is the Chief Scientist at Salesforce. His research interests are machine learning for NLP and vision. Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher and Dragomir RadevThe 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019). The 28th International Conference on Machine Learning (ICML 2011). Richard Socher, Salesforce, Aloha, I'm the chief scientist (EVP) at Salesforce where I lead teams working on fundamental research, applied research, product incubation, CRM search, customer service automation and a cross-product AI platform for unstructured and structured data. James Bradbury, Stephen Merity, Caiming Xiong, Richard SocherInternational Conference on Learning Representations (ICLR 2017). [ pdf, website ], Grounded Compositional Semantics for Finding and Describing Images with Sentences, He is Richard Socher, chief scientist at software maker Salesforce and a computer science lecturer at Stanford. [ arxiv pdf ], Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering, The Future of Food. Advances in Neural Information Processing Systems 22 (NIPS 2009). [ pdf, website ], Parsing Natural Scenes and Natural Language with Recursive Neural Networks, Thang Luong, Richard Socher, Christopher D. Manning. [ pdf, website ], Zero-Shot Learning Through Cross-Modal Transfer, As part of that group, Souther … Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher[ arxiv pdf, The East Germany born AI expert and researcher discusses some of his most interesting and groundbreaking research along with perspectives as the Chief Scientist at Salesforce. Mohit Iyyer, Jordan Boyd-Graber, Leonardo Claudino, Richard Socher and Hal Daumé IIIConference on Empirical Methods in Natural Language Processing (EMNLP 2014). Small subset of students or interns that I supervised at some point. Stephen Merity, Nitish Shirish Keskar, Richard SocherInternational Conference on Learning Representations (ICLR 2018). Xilai, Yingbo Zhou, Caiming Xiong, Richard SocherThe 36th International Conference on Machine Learning (ICML 2019). Abstract. Press: GigaOM, Stanford ], Reasoning With Neural Tensor Networks for Knowledge Base Completion, Neil Grimmer (CEO, Habit) 3:10pm. $4 Million. The code is in the .jar files. Richard Socher is the Chief Scientist at Salesforce. [ bioRxiv link, blog ], Dye-sensitized solar cells under ambient light powering machine learning: towards autonomous smart sensors for the internet of things, [ pdf, website ], Convolutional-Recursive Deep Learning for 3D Object Classification, [ pdf , website with word vectors ]. [ arxiv pdf ], Self-Monitoring Navigation Agent via Auxiliary Progress Estimation, [ arxiv link ], WSLLN: Weakly Supervised Natural Language Localization Networks, 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). Prior, Richard was an adjunct professor at the Stanford Computer Science Department and the CEO and … Compared to the preprocessed version of Penn Treebank (PTB), WikiText-2 is over 2 times larger and WikiText-103 is over 110 times larger. Hao Liu, Caiming Xiong, Richard SocherThe 36th International Conference on Machine Learning (ICML 2019). Hakan Inan, Khashayar Khosravi, Richard SocherInternational Conference on Learning Representations (ICLR 2017). Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming XiongInternational Conference on Learning Representations (ICLR 2019). Richard Socher, Andrew Maas, Christopher D. Manning. Richard Socher, Adrian Barbu, and Dorin Comaniciu. Prior, Richard was an adjunct professor at the Stanford Computer Science Department and the CEO and founder of MetaMind, a startup acquired by Salesforce in April 2016. Reddit gives you the best of the internet in one place. We pose protein engineering as an unsupervised sequence generation problem in order to leverage the exponentially growing set of proteins that lack costly, structural annotations. Advances in Neural Information Processing Systems (NIPS 2013). He leads the company’s research efforts and brings state of the art artificial intelligence solutions into the platform. International Conference on Learning Representations (ICLR 2013, Workshop Track, Oral). He obtained his PhD from Stanford working on deep learning with Chris Manning and Andrew Ng. [ pdf ], A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks, IEEE Computer Vision and Pattern Recognition (CVPR 2009). Richard Socher, Milind Ganjoo, Christopher D. Manning, Andrew Y. Ng. [ arxiv pdf ], A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation, Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S Davis.Conference on Computer Vision and Pattern Recognition (CVPR 2019). [ paper link ], CTRL: A Conditional Transformer Language Model for Controllable Generation, James Bradbury, Richard SocherProceedings of the First Conference on Machine Translation. Will Zou, Richard Socher, Daniel Cer and Christopher Manning. He was awarded the Distinguished Application Paper Award at the International Conference on Machine Learning 2011, the 2011 Yahoo! Richard Socher, Brody Huval, Christopher D. Manning and Andrew Y. Ng. [ pdf link, https://almond.stanford.edu/ ]. Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, Richard SocherConference on Empirical Methods in Natural Language Processing (EMNLP 2017). He leads the company’s research efforts and brings state of the art artificial intelligence solutions into the platform. Distinguished Application Paper Award. 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). IEEE Computer Vision and Pattern Recognition (CVPR 2009, Oral). Passionate about something niche? Alternatively, find out what’s trending across all of Reddit on r/popular. Association for Computational Linguistics 2018 Conference (ACL 2018). Key Scientific Challenges Award, a Microsoft Research PhD Fellowship in 2012, a 2013 "Magic Grant" from the Brown Institute for Media Innovation, the 2014 GigaOM Structure Award and is currently a member of the WEF Young Global Leaders Class of 2017. Specifically: Where is it going? 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). What and Who; Title: A Learning Based Hierarchical Model for Vessel Segmentation: Speaker: Richard Socher: coming from: IMPRS: Speakers Bio: Event Type: Talk/Masterseminar Richard Socher's Deep Learning and Natural Language Processing or Stanford cs224d, David Silver's Reinforcement Learning, Hinton's Neural Network and Machine Learning - my review. [ pdf, blog post, Press: Forbes, MIT Tech Review, TechCrunch ], Non-Autoregressive Neural Machine Translation, Richard Socher, Sam J. Gershman, Adler Perotte, Per Sederberg, Ken A. Norman, and David M. Blei. We asked him how to prepare for machines changing the world. Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong and Richard SocherThe 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019). Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank, Bio. Richard Socher, who heads up […] Tax policy is surely a complex beast, and depending on your political leanings, you probably have some strong feelings about how it should be implemented. Google ML: These … [ arxiv pdf ], End-to-End Dense Video Captioning with Masked Transformer, Conference on Empirical Methods in Natural Language Processing (EMNLP 2013, Oral). Press: CNBC, Venturebeat, Slator ], DCN+: Mixed Objective and Deep Residual Coattention for Question Answering, [ pdf, website ], Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions, Richard Socher twitter followers statistics shows that the account has 69K followers count with 1556 Tweets/Updates. [ arxiv pdf, blog ], Global-Locally Self-Attentive Encoder for Dialogue State Tracking, [3] Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong, Online Structured Meta-learning, in Proceeding of the Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada, Dec. Bio: Richard Socher is a PhD student at Stanford working with Chris Manning and Andrew Ng. [ pdf, 2nd Place in the competition ], Dynamic Memory Networks for Visual and Textual Question Answering, [ pdf ], A Bayesian analysis of dynamics in free recall, Related Kaggle Competition ]; Bilingual Word Embeddings for Phrase-Based Machine Translation, Er hat Informatik in Leipzig studiert, ein eigenes Unternehmen gegründet – und Tipps für Deutschland. This is the official implementation of the following paper: Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, Caiming Xiong. He leads teams working on fundamental research, applied research, product incubation, CRM search, customer service automation and a cross-product AI platform for unstructured and structured data. The Future of Robotics In 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2008, Oral). [ arxiv pdf ], AdaFrame: Adaptive Frame Selection for Fast Video Recognition, Java. Richard Socher, Jeffrey Pennington, Eric Huang, Andrew Y. Ng, and Christopher D. Manning. [ pdf ]. 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