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Assessing Machine Learning Approaches to Address IoT Sensor Drift

Sep 02, 2021
Haining Zheng, Antonio Paiva

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An Enhanced Machine Learning Topic Classification Methodology for Cybersecurity

Aug 30, 2021
Elijah Pelofske, Lorie M. Liebrock, Vincent Urias

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Overprotective Training Environments Fall Short at Testing Time: Let Models Contribute to Their Own Training

Mar 30, 2021
Alberto Testoni, Raffaella Bernardi

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Adversarial Representation Learning With Closed-Form Solvers

Sep 12, 2021
Bashir Sadeghi, Lan Wang, Vishnu Naresh Boddeti

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Extracting Event Temporal Relations via Hyperbolic Geometry

Sep 12, 2021
Xingwei Tan, Gabriele Pergola, Yulan He

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Complex Temporal Question Answering on Knowledge Graphs

Sep 18, 2021
Zhen Jia, Soumajit Pramanik, Rishiraj Saha Roy, Gerhard Weikum

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Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters

Sep 06, 2021
Qinghao Hu, Peng Sun, Shengen Yan, Yonggang Wen, Tianwei Zhang

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Robust High-Resolution Video Matting with Temporal Guidance

Aug 25, 2021
Shanchuan Lin, Linjie Yang, Imran Saleemi, Soumyadip Sengupta

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Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture

Oct 15, 2021
Xinyu Tang, Saeed Mahloujifar, Liwei Song, Virat Shejwalkar, Milad Nasr, Amir Houmansadr, Prateek Mittal

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Sparse multi-reference alignment: sample complexity and computational hardness

Sep 23, 2021
Tamir Bendory, Oscar Mickelin, Amit Singer

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