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
References
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Zhang, X., Thakur, N., Ogundepo, O., Kamalloo, E., Alfonso-Hermelo, D., Li, X., … Lin, J. (2022). Making a MIRACL: Multilingual Information Retrieval Across a Continuum Of Languages ArXiv, abs/2210.09984. https://doi.org/10.48550/arXiv.2210.09984
Voorhees, E. M., Craswell, N., & Lin, J. (2022). Too Many Relevants: Whither Cranfield Test Collections? Presented at the Too Many Relevants: Whither Cranfield Test Collections? conference. https://doi.org/10.1145/3477495.3531728
Nanayakkara, P., Bater, J., He, X., Hullman, J., & Rogers, J. (2022). Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases Proceedings on Privacy Enhancing Technologies (PoPETs), 2022, 601-618. https://doi.org/10.2478/popets-2022-0058
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
Abualsaud, M., & Smucker, M. (2022). The Dark Side of Relevance: The Effect of Non-Relevant Results On Search Behavior Presented at the The Dark Side of Relevance: The Effect of Non-Relevant Results On Search Behavior conference. https://doi.org/10.1145/3498366.3505770
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
Chen, J., Huang, Y., Wang, M., Salihoglu, S., & Salem, K. (2022). Accurate Summary-Based Cardinality Estimation Through the Lens Of Cardinality Estimation Graphs Proceedings of the VLDB Endowment (PVLDB), 15, 1533-1545. Retrieved from https://www.vldb.org/pvldb/vol15/p1533-chen.pdf
Chopra, S., & Golab, L. (2022). Gender Differences in Early Career Performance Reviews: A Text Mining Study Presented at the Gender Differences in Early Career Performance Reviews: A Text Mining Study conference. Retrieved from http://ceur-ws.org/Vol-3135/darliap_paper3.pdf
Hebert, L., Golab, L., & Cohen, R. (2022). Predicting Hateful Discussions on Reddit Using Graph Transformer Networks And Communal Context Presented at the Predicting Hateful Discussions on Reddit Using Graph Transformer Networks And Communal Context conference. https://doi.org/10.1109/WI-IAT55865.2022.00012