| 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 | 5286 | 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 | 2063 | 2022 |
| 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 | 1997 | 2011 |
| 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 | 1737 | 2022 |
| Learning with hypergraphs: Clustering, classification, and embedding D Zhou, J Huang, B Schölkopf Advances in neural information processing systems (NIPS) 19, 1601, 2007 | 1497 | 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 | 981 | 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 | 950 | 2022 |
| Scaling instruction-finetuned language models HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, Y Li, X Wang, ... arXiv preprint arXiv:2210.11416, 2022 | 855 | 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 | 730 | 2007 |
| 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 | 624 | 2020 |
| Spectral clustering and transductive learning with multiple views D Zhou, CJC Burges Proceedings of the 24th international conference on Machine learning (ICML …, 2007 | 550 | 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 | 546 | 2005 |
| Self-consistency improves chain of thought reasoning in language models X Wang, J Wei, D Schuurmans, Q Le, E Chi, D Zhou International Conference on Learning Representations (ICLR), 2022 | 497* | 2022 |
| 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 | 492 | 2007 |
| Chi, Quoc Le, and Denny Zhou. 2022 J Wei, X Wang, D Schuurmans, M Bosma, B Ichter, F Xia Chain of thought prompting elicits reasoning in large language models. ArXiv …, 2022 | 484 | 2022 |
| Query suggestion using hitting time Q Mei, D Zhou, K Church Proceedings of the 17th ACM conference on Information and knowledge …, 2008 | 467* | 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 | 419 | 2012 |
| Least-to-Most Prompting Enables Complex Reasoning in Large Language Models D Zhou, N Schärli, L Hou, J Wei, N Scales, X Wang, D Schuurmans, ... International Conference on Learning Representations (ICLR), 2022 | 368 | 2022 |
| Neuro-symbolic program synthesis E Parisotto, A Mohamed, R Singh, L Li, D Zhou, P Kohli arXiv preprint arXiv:1611.01855, 2016 | 365 | 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 | 329 | 2003 |
Jason WeiOpenAIПотвърден имейл адрес: google.com
