Ma, X., Pradeep, R., Nogueira, R., & Lin, J. (2022). Document Expansion Baselines and Learned Sparse Lexical Representations For MS MARCO V1 and V2 Presented at the Document Expansion Baselines and Learned Sparse Lexical Representations For MS MARCO V1 and V2 conference. https://doi.org/10.1145/3477495.3531749
References
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2022
Nanayakkara, P., Bater, J., He, X., Hullman, J., & Rogers, J. (2022). Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases ArXiv, abs/2201.05964. Retrieved from https://arxiv.org/abs/2201.05964
Arabzadeh, N., Seifikar, M., & Clarke, C. (2022). Unsupervised Question Clarity Prediction Through Retrieved Item Coherency ArXiv, abs/2208.04882. https://doi.org/10.48550/arXiv.2208.04882
Li, H., Wang, S., Zhuang, S., Mourad, A., Ma, X., Lin, J., & Zuccon, G. (2022). To Interpolate or Not to Interpolate: PRF, Dense and Sparse Retrievers Presented at the To Interpolate or Not to Interpolate: PRF, Dense and Sparse Retrievers conference. https://doi.org/10.1145/3477495.3531884
Dadvar, V., Golab, L., & Srivastava, D. (2022). Exploring Data Using Patterns: A Survey Information Systems, 108, 101985. https://doi.org/10.1016/j.is.2022.101985
Guo, R., Guo, V., Kim, A., Hildred, J., & Daudjee, K. (2022). Hydrozoa: Dynamic Hybrid-Parallel DNN Training on Serverless Containers Presented at the Hydrozoa: Dynamic Hybrid-Parallel DNN Training on Serverless Containers conference. Retrieved from https://proceedings.mlsys.org/paper/2022/hash/ea5d2f1c4608232e07d3aa3d998e5135-Abstract.html
Tang, R., Kumar, K., Yang, G., Pandey, A., Mao, Y., Belyaev, V., … Lin, J. (2022). SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale Presented at the SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale conference. Retrieved from https://aclanthology.org/2022.emnlp-industry.29
Dadvar, V., Golab, L., & Srivastava, D. (2022). POEM: Pattern-Oriented Explanations of CNN Models Proceedings of the VLDB Endowment (PVLDB), 15, 3618-3621. Retrieved from https://www.vldb.org/pvldb/vol15/p3618-golab.pdf
Toman, D., & Weddell, G. (2022). First Order Rewritability in Ontology-Mediated Querying in Horn Description Logics Presented at the First Order Rewritability in Ontology-Mediated Querying in Horn Description Logics conference. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/20534
Parsa, M. S., Shi, H., Xu, Y., Yim, A., Yin, Y., & Golab, L. (2022). Analyzing Climate Change Discussions on Reddit Presented at the Analyzing Climate Change Discussions on Reddit conference. https://doi.org/10.1109/CSCI58124.2022.00150