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Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds.

, , , , and . ICLR (Poster), OpenReview.net, (2019)

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On Coresets for Support Vector Machines., , , and . TAMC, volume 12337 of Lecture Notes in Computer Science, page 287-299. Springer, (2020)SLaM: Student-Label Mixing for Semi-Supervised Knowledge Distillation., , , , , and . CoRR, (2023)Alternating Updates for Efficient Transformers., , , , , and . CoRR, (2023)Persistent Surveillance of Events with Unknown Rate Statistics., , , , and . WAFR, volume 13 of Springer Proceedings in Advanced Robotics, page 736-751. Springer, (2016)Persistent surveillance of events with unknown, time-varying statistics., , , and . ICRA, page 2682-2689. IEEE, (2017)Kinematic Design Optimization of a Parallel Surgical Robot to Maximize Anatomical Visibility via Motion Planning., , , , , , , and . ICRA, page 926-933. IEEE, (2018)Training Support Vector Machines using Coresets., , and . CoRR, (2017)Weighted Distillation with Unlabeled Examples., , , , , and . NeurIPS, (2022)Robust Active Distillation., , , , and . ICLR, OpenReview.net, (2023)Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy., , , , and . MLSys, mlsys.org, (2021)