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Daniel Kang

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  • 2024

    AIDB: a Sparsely Materialized Database for Queries using Machine Learning

    Jin, T., Mittal, A., Mo, C., Fang, J., Zhang, C., Dai, T. & Kang, D., Jun 9 2024, Proceedings of the 8th Workshop on Data Management for End-to-End Machine Learning, DEEM 2024 - In conjunction with the 2024 ACM SIGMOD/PODS Conference. Association for Computing Machinery, p. 23-28 6 p. (Proceedings of the 8th Workshop on Data Management for End-to-End Machine Learning, DEEM 2024 - In conjunction with the 2024 ACM SIGMOD/PODS Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks

    Kang, D., Li, X., Stoica, I., Guestrin, C., Zaharia, M. & Hashimoto, T., 2024, Proceedings - 45th IEEE Symposium on Security and Privacy Workshops, SPW 2024. Institute of Electrical and Electronics Engineers Inc., p. 132-143 12 p. (Proceedings - 45th IEEE Symposium on Security and Privacy Workshops, SPW 2024).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • tailwiz: Empowering Domain Experts with Easy-to-Use, Task-Specific Natural Language Processing Models

    Dai, T., Peters, A., Gelbach, J. B., Engstrom, D. F. & Kang, D., Jun 9 2024, Proceedings of the 8th Workshop on Data Management for End-to-End Machine Learning, DEEM 2024 - In conjunction with the 2024 ACM SIGMOD/PODS Conference. Association for Computing Machinery, p. 12-22 11 p. (Proceedings of the 8th Workshop on Data Management for End-to-End Machine Learning, DEEM 2024 - In conjunction with the 2024 ACM SIGMOD/PODS Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • ZKML: An Optimizing System for ML Inference in Zero-Knowledge Proofs

    Chen, B. J., Waiwitlikhit, S., Stoica, I. & Kang, D., Apr 22 2024, EuroSys 2024 - Proceedings of the 2024 European Conference on Computer Systems. Association for Computing Machinery, p. 560-574 15 p. (EuroSys 2024 - Proceedings of the 2024 European Conference on Computer Systems).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2023

    Q-Diffusion: Quantizing Diffusion Models

    Li, X., Liu, Y., Lian, L., Yang, H., Dong, Z., Kang, D., Zhang, S. & Keutzer, K., Oct 2023, Proceedings - 2023 IEEE/CVF International Conference on Computer Vision, ICCV 2023. p. 17489-17499 11 p. (Proceedings of the IEEE International Conference on Computer Vision).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2022

    Finding Label and Model Errors in Perception Data With Learned Observation Assertions

    Kang, D., Arechiga, N., Pillai, S., Bailis, P. D. & Zaharia, M., Jun 10 2022, SIGMOD 2022 - Proceedings of the 2022 International Conference on Management of Data. Association for Computing Machinery, p. 496-505 10 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data

    Kang, D., Guibas, J., Bailis, P. D., Hashimoto, T. & Zaharia, M., Jun 10 2022, SIGMOD 2022 - Proceedings of the 2022 International Conference on Management of Data. Association for Computing Machinery, p. 1934-1947 14 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2020

    Improved natural language generation via loss truncation

    Kang, D. & Hashimoto, T. B., 2020, ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 718-731 14 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • MLPerf Training Benchmark

    Mattson, P., Cheng, C., Coleman, C., Diamos, G., Micikevicius, P., Patterson, D., Tang, H., Wei, G.-Y., Bailis, P., Bittorf, V., Brooks, D., Chen, D., Dutta, D., Gupta, U., Hazelwood, K., Hock, A., Huang, X., Ike, A., Jia, B. & Kang, D. & 17 others, Kanter, D., Kumar, N., Liao, J., Ma, G., Narayanan, D., Oguntebi, T., Pekhimenko, G., Pentecost, L., Janapa Reddi, V., Robie, T., St John, T., Tabaru, T., Wu, C.-J., Xu, L., Yamazaki, M., Young, C. & Zaharia, M., 2020, Proceedings of Machine Learning and Systems. Dhillon, I., Papailiopoulos, D. & Sze, V. (eds.). Vol. 2. p. 336-349 14 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Model Assertions for Monitoring and Improving ML Models

    Kang, D., Raghavan, D., Bailis, P. & Zaharia, M., 2020, Proceedings of Machine Learning and Systems. Dhillon, I., Papailiopoulos, D. & Sze, V. (eds.). Vol. 2. p. 481-496 16 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference

    Kraft, P., Kang, D., Narayanan, D., Palkar, S., Bailis, P. & Zaharia, M., 2020, Proceedings of Machine Learning and Systems. Dhillon, I., Papailiopoulos, D. & Sze, V. (eds.). Vol. 2. p. 147-159 13 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2019

    LIT: Learned intermediate representation training for model compression

    Koratana, A., Kang, D., Bailis, P. & Zaharia, M., 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 6146-6155 10 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Network Offloading Policies for Cloud Robotics: a Learning-based Approach

    Chinchali, S., Sharma, A., Harrison, J., Elhafsi, A., Kang, D., Pergament, E., Cidon, E., Katti, S. & Pavone, M., 2019, Robotics: Science and Systems XV. Bicchi, A., Kress-Gazit, H. & Hutchinson, S. (eds.). MIT Press Journals, (Robotics: Science and Systems).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access