Li, H., Zhuang, S., Ma, X., Lin, J., & Zuccon, G. (2022). Pseudo-Relevance Feedback With Dense Retrievers in Pyserini Presented at the Pseudo-Relevance Feedback With Dense Retrievers in Pyserini Primary Tabs View conference. https://doi.org/10.1145/3572960.3572982
References
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2022
Jiang, Z., Yang, M. Y. R., Tsirlin, M., Tang, R., & Lin, J. (2022). Less Is More: Parameter-Free Text Classification With Gzip ArXiv, abs/2212.09410. https://doi.org/10.48550/arXiv.2212.09410
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 ArXiv, abs/2211.11740. https://doi.org/10.48550/arXiv.2211.11740
Hebert, L., Golab, L., Poupart, P., & Cohen, R. (2022). FedFormer: Contextual Federation With Attention in Reinforcement Learning ArXiv, abs/2205.13697. https://doi.org/10.48550/arXiv.2205.13697
Karegar, R., Mirsafian, M., Godfrey, P., Golab, L., Kargar, M., Srivastava, D., & Szlichta, J. (2022). Discovering Domain Orders via Order Dependencies Presented at the Discovering Domain Orders via Order Dependencies conference. https://doi.org/10.1109/ICDE53745.2022.00087
Abebe, M., Lazu, H., & Daudjee, K. (2022). Tiresias: Enabling Predictive Autonomous Storage and Indexing Proceedings of the VLDB Endowment (PVLDB), 15, 3126-3136. Retrieved from https://www.vldb.org/pvldb/vol15/p3126-abebe.pdf
Zheng, Z., Zheng, L., Langouri, M. A., Chiang, F., Golab, L., Szlichta, J., & Baskaran, S. (2022). Contextual Data Cleaning With Ontology Functional Dependencies Journal of Data and Information Quality, 14, 1-20. https://doi.org/10.1145/3524303
Kargar, M., Golab, L., Srivastava, D., Szlichta, J., & Zihayat, M. (2022). Effective Keyword Search Over Weighted Graphs IEEE Transactions on Knowledge and Data Engineering (TKDE), 34, 601-616. https://doi.org/10.1109/TKDE.2020.2985376
Durvasula, S., Kiguru, R., Mathur, S., Xu, J., Lin, J., & Vijaykumar, N. (2022). VoxelCache: Accelerating Online Mapping in Robotics and 3D Reconstruction Tasks Presented at the VoxelCache: Accelerating Online Mapping in Robotics and 3D Reconstruction Tasks conference. https://doi.org/10.1145/3559009.3569675
Abebe, M., Lazu, H., & Daudjee, K. (2022). Proteus: Autonomous Adaptive Storage for Mixed Workloads Presented at the Proteus: Autonomous Adaptive Storage for Mixed Workloads conference. https://doi.org/10.1145/3514221.3517834