Denny Zhou

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	Toate	Din 2018
Referințe bibliografice	22147	12437
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Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH ZürichAdresă de e-mail confirmată pe tuebingen.mpg.de
Jason WeiOpenAIAdresă de e-mail confirmată pe google.com
Quoc V. LeResearch Scientist, Google BrainAdresă de e-mail confirmată pe stanford.edu
Olivier BousquetGoogleAdresă de e-mail confirmată pe m4x.org
Qiang LiuAssistant Professor of Computer Science, UT AustinAdresă de e-mail confirmată pe cs.utexas.edu
Lihong Li (李力鸿)AmazonAdresă de e-mail confirmată pe amazon.com
Yi TayResearch Scientist, Google BrainAdresă de e-mail confirmată pe google.com
Xinyun ChenGoogle BrainAdresă de e-mail confirmată pe berkeley.edu
Nihar B. ShahML and CS departments, Carnegie Mellon UniversityAdresă de e-mail confirmată pe cs.cmu.edu
Chong WangAppleAdresă de e-mail confirmată pe cs.princeton.edu
Rishabh SinghResearch Scientist, Google BrainAdresă de e-mail confirmată pe google.com
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyAdresă de e-mail confirmată pe cs.berkeley.edu
Pushmeet KohliDeepMindAdresă de e-mail confirmată pe google.com
Jeff DeanGoogle Senior Fellow & SVP, Google Research and HealthAdresă de e-mail confirmată pe google.com
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonAdresă de e-mail confirmată pe cs.washington.edu
Jianshu ChenTencent AI LabAdresă de e-mail confirmată pe ucla.edu
Yuval Peresyuvalperes.comAdresă de e-mail confirmată pe yuvalperes.com

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Denny Zhou

Research Scientist, Google Brain

Adresă de e-mail confirmată pe google.com - Pagina de pornire

Machine Learning Artificial Intelligence


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Learning with Local and Global Consistency. D Zhou, O Bousquet, TN Lal, J Weston, B Schölkopf Advances in neural information processing systems (NIPS) 16, 321-328, 2003	5062	2003
Recommender systems with social regularization H Ma, D Zhou, C Liu, MR Lyu, I King Proceedings of the fourth ACM international conference on Web search and …, 2011	1913	2011
Learning with hypergraphs: Clustering, classification, and embedding D Zhou, J Huang, B Schölkopf Advances in neural information processing systems (NIPS) 19, 1601, 2007	1383	2007
Ranking on data manifolds. D Zhou, J Weston, A Gretton, O Bousquet, B Schölkopf Advances in neural information processing systems (NIPS) 16, 169-176, 2003	940	2003
PaLM: Scaling language modeling with pathways A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ... arXiv preprint arXiv:2204.02311, 2022	929	2022
Chain of thought prompting elicits reasoning in large language models J Wei, X Wang, D Schuurmans, M Bosma, E Chi, Q Le, D Zhou Advances in Neural Information Processing Systems (NeurIPS), 2022	781*	2022
Semi-supervised graph-based hyperspectral image classification G Camps-Valls, TVB Marsheva, D Zhou IEEE transactions on Geoscience and Remote Sensing 45 (10), 3044-3054, 2007	719	2007
Spectral clustering and transductive learning with multiple views D Zhou, CJC Burges Proceedings of the 24th international conference on Machine learning (ICML …, 2007	542	2007
Learning from labeled and unlabeled data on a directed graph D Zhou, J Huang, B Schölkopf Proceedings of the 22nd international conference on Machine learning (ICML …, 2005	531	2005
Mobilebert: a compact task-agnostic bert for resource-limited devices Z Sun, H Yu, X Song, R Liu, Y Yang, D Zhou arXiv preprint arXiv:2004.02984, 2020	499	2020
Evolutionary spectral clustering by incorporating temporal smoothness Y Chi, X Song, D Zhou, K Hino, BL Tseng Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	487	2007
Query suggestion using hitting time Q Mei, D Zhou, K Church Proceedings of the 17th ACM conference on Information and knowledge …, 2008	460	2008
Learning from the Wisdom of Crowds by Minimax Entropy. D Zhou, JC Platt, S Basu, Y Mao Advances in Neural Information Processing Systems (NIPS), 2204-2212, 2012	404	2012
Neuro-symbolic program synthesis E Parisotto, A Mohamed, R Singh, L Li, D Zhou, P Kohli arXiv preprint arXiv:1611.01855, 2016	341	2016
Semi-supervised protein classification using cluster kernels J Weston, D Zhou, A Elisseeff, W Noble, C Leslie Advances in neural information processing systems 16, 2003	326	2003
Emergent abilities of large language models J Wei, Y Tay, R Bommasani, C Raffel, B Zoph, S Borgeaud, D Yogatama, ... Transactions on Machine Learning Research (TMLR), 2022	319*	2022
A regularization framework for learning from graph data D Zhou, B Schölkopf ICML Workshop on Statistical Relational Learning and Its Connections to …, 2004	289	2004
Breaking the curse of horizon: Infinite-horizon off-policy estimation Q Liu, L Li, Z Tang, D Zhou Advances in Neural Information Processing Systems 31, 2018	285	2018
Semi-supervised Learning on Directed Graphs. D Zhou, B Schölkopf, T Hofmann Advances in neural information processing systems (NIPS) 17, 1633-1640, 2004	281	2004
Spectral methods meet EM: A provably optimal algorithm for crowdsourcing Y Zhang, X Chen, D Zhou, MI Jordan Advances in neural information processing systems 27, 2014	266	2014

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