| Xlnet: Generalized autoregressive pretraining for language understanding Z Yang, Z Dai, Y Yang, J Carbonell, RR Salakhutdinov, QV Le Advances in neural information processing systems 32, 2019 | 5193 | 2019 |
| The use of MMR, diversity-based reranking for reordering documents and producing summaries J Carbonell, J Goldstein Proceedings of the 21st annual international ACM SIGIR conference on …, 1998 | 3422 | 1998 |
| Machine learning: An artificial intelligence approach RS Michalski, JG Carbonell, TM Mitchell Springer Science & Business Media, 2013 | 2771 | 2013 |
| Transformer-xl: Attentive language models beyond a fixed-length context Z Dai, Z Yang, Y Yang, J Carbonell, QV Le, R Salakhutdinov arXiv preprint arXiv:1901.02860, 2019 | 2102 | 2019 |
| Topic detection and tracking pilot study final report J Allan, JG Carbonell, G Doddington, J Yamron, Y Yang Carnegie Mellon University, 1998 | 1490 | 1998 |
| A study of retrospective and on-line event detection Y Yang, T Pierce, J Carbonell Proceedings of the 21st annual international ACM SIGIR conference on …, 1998 | 1028 | 1998 |
| Derivational analogy: A theory of reconstructive problem solving and expertise acquisition. JG Carbonell CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE, 1985 | 898 | 1985 |
| Learning by analogy: Formulating and generalizing plans from past experience JG Carbonell Machine learning, 137-161, 1983 | 779 | 1983 |
| Temporal collaborative filtering with bayesian probabilistic tensor factorization L Xiong, X Chen, TK Huang, J Schneider, JG Carbonell Proceedings of the 2010 SIAM international conference on data mining, 211-222, 2010 | 755 | 2010 |
| An overview of machine learning JG Carbonell, RS Michalski, TM Mitchell Machine learning, 3-23, 1983 | 701 | 1983 |
| Summarizing text documents: Sentence selection and evaluation metrics J Goldstein, M Kantrowitz, V Mittal, J Carbonell Proceedings of the 22nd annual international ACM SIGIR conference on …, 1999 | 687 | 1999 |
| Integrating planning and learning: The PRODIGY architecture M Veloso, J Carbonell, A Perez, D Borrajo, E Fink, J Blythe Journal of Experimental & Theoretical Artificial Intelligence 7 (1), 81-120, 1995 | 553 | 1995 |
| Multi-document summarization by sentence extraction J Goldstein, VO Mittal, JG Carbonell, M Kantrowitz NAACL-ANLP 2000 workshop: automatic summarization, 2000 | 535 | 2000 |
| Learning approaches for detecting and tracking news events Y Yang, JG Carbonell, RD Brown, T Pierce, BT Archibald, X Liu IEEE Intelligent Systems and their Applications 14 (4), 32-43, 1999 | 520 | 1999 |
| Explanation-based learning: A problem solving perspective S Minton, JG Carbonell, CA Knoblock, DR Kuokka, O Etzioni, Y Gil Artificial Intelligence 40 (1-3), 63-118, 1989 | 410 | 1989 |
| Subjective understanding: computer models of belief systems. JG Carbonell Yale University, 1979 | 365 | 1979 |
| Prodigy: An integrated architecture for planning and learning JG Carbonell, CA Knoblock, S Minton Architectures for intelligence, 255-292, 2014 | 345 | 2014 |
| Topic-conditioned novelty detection Y Yang, J Zhang, J Carbonell, C Jin Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002 | 337 | 2002 |
| Derivational analogy in PRODIGY: Automating case acquisition, storage, and utilization MM Veloso, JG Carbonell Case-Based Learning, 55-84, 1993 | 337 | 1993 |
| Learning generative models for protein fold families S Balakrishnan, H Kamisetty, JG Carbonell, SI Lee, CJ Langmead Proteins: Structure, Function, and Bioinformatics 79 (4), 1061-1078, 2011 | 323 | 2011 |
Yiming YangProfessor, Carnegie Mellon Universitycs.cmu.edu의 이메일 확인됨
