A geometric framework for unsupervised anomaly detection: Detecting intrusions in unlabeled data E Eskin, A Arnold, M Prerau, L Portnoy, S Stolfo Applications of data mining in computer security, 77-101, 2002 | 1566 | 2002 |
Temporal causal modeling with graphical granger methods A Arnold, Y Liu, N Abe Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 389 | 2007 |
A comparative study of methods for transductive transfer learning A Arnold, R Nallapati, WW Cohen Seventh IEEE international conference on data mining workshops (ICDMW 2007 …, 2007 | 367 | 2007 |
Query dependent ranking using k-nearest neighbor X Geng, TY Liu, T Qin, A Arnold, H Li, HY Shum Proceedings of the 31st annual international ACM SIGIR conference on …, 2008 | 211 | 2008 |
Supporting Clustering with Contrastive Learning D Zhang, F Nan, X Wei, SW Li, H Zhu, K McKeown, R Nallapati, ... North American Chapter of the Association for Computational Linguistics (NAACL),, 2021 | 188 | 2021 |
Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion S Wang, X Wei, CN dos Santos, Z Wang, R Nallapati, A Arnold, B Xiang, ... The Web Conference (WWW), 2021 | 100 | 2021 |
Lifelong pretraining: Continually adapting language models to emerging corpora X Jin, D Zhang, H Zhu, W Xiao, SW Li, X Wei, A Arnold, X Ren arXiv preprint arXiv:2110.08534, 2021 | 90 | 2021 |
Faithful Embeddings for Knowledge Base Queries H Sun, AO Arnold, T Bedrax-Weiss, F Pereira, WW Cohen Advances in Neural Information Processing Systems (NeurIPS) 33, 2020 | 90 | 2020 |
Improving Factual Consistency of Abstractive Summarization via Question Answering F Nan, C Nogueira dos Santos, H Zhu, P Ng, K McKeown, R Nallapati, ... Association for Computational Linguistics (ACL), 2021 | 85 | 2021 |
Exploiting feature hierarchy for transfer learning in named entity recognition A Arnold, R Nallapati, W Cohen Proceedings of ACL-08: HLT, 245-253, 2008 | 65 | 2008 |
Methods of unsupervised anomaly detection using a geometric framework E Eskin, A Arnold, M Prerau, L Portnoy, SJ Stolfo US Patent 9,306,966, 2016 | 61 | 2016 |
Methods of unsupervised anomaly detection using a geometric framework E Eskin, AO Arnold, M Prerau, L Portnoy, SJ Stolfo US Patent 8,544,087, 2013 | 60 | 2013 |
Constructionist design methodology for interactive intelligences KR Thórisson, H Benko, D Abramov, A Arnold, S Maskey, A Vaseekaran AI Magazine 25 (4), 77-77, 2004 | 60 | 2004 |
Pairwise supervised contrastive learning of sentence representations D Zhang, SW Li, W Xiao, H Zhu, R Nallapati, AO Arnold, B Xiang arXiv preprint arXiv:2109.05424, 2021 | 52 | 2021 |
Structured literature image finder: extracting information from text and images in biomedical literature LP Coelho, A Ahmed, A Arnold, J Kangas, AS Sheikh, EP Xing, ... Linking Literature, Information, and Knowledge for Biology: Workshop of the …, 2010 | 49 | 2010 |
Calculating cyclotomic polynomials A Arnold, M Monagan Mathematics of Computation 80 (276), 2359-2379, 2011 | 41 | 2011 |
DQ-BART: Efficient sequence-to-sequence model via joint distillation and quantization Z Li, Z Wang, M Tan, R Nallapati, P Bhatia, A Arnold, B Xiang, D Roth arXiv preprint arXiv:2203.11239, 2022 | 39 | 2022 |
Applications of Data Mining in Computer Security, chapter A geometric framework for unsupervised anomaly detection: detecting intrusions in unlabeled data E Eskin, A Arnold, M Prerau, L Portnoy, S Stolfo Kluwer, 2002 | 39 | 2002 |
Output-sensitive algorithms for sumset and sparse polynomial multiplication A Arnold, DS Roche Proceedings of the 2015 ACM on International Symposium on Symbolic and …, 2015 | 37 | 2015 |
Knowledge enhanced pretrained language models: A compreshensive survey X Wei, S Wang, D Zhang, P Bhatia, A Arnold arXiv preprint arXiv:2110.08455, 2021 | 36 | 2021 |