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Is margin all you need? An extensive empirical study of active learning on tabular data


Oct 07, 2022
Dara Bahri, Heinrich Jiang, Tal Schuster, Afshin Rostamizadeh


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Predicting on the Edge: Identifying Where a Larger Model Does Better


Feb 15, 2022
Taman Narayan, Heinrich Jiang, Sen Zhao, Sanjiv Kumar


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SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption


Jun 29, 2021
Dara Bahri, Heinrich Jiang, Yi Tay, Donald Metzler


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Churn Reduction via Distillation


Jun 04, 2021
Heinrich Jiang, Harikrishna Narasimhan, Dara Bahri, Andrew Cotter, Afshin Rostamizadeh


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Active Covering


Jun 04, 2021
Heinrich Jiang, Afshin Rostamizadeh

* ICML 2021 

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MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking


Apr 01, 2021
Jennifer Jang, Heinrich Jiang


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Locally Adaptive Label Smoothing for Predictive Churn


Feb 09, 2021
Dara Bahri, Heinrich Jiang


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Label Smoothed Embedding Hypothesis for Out-of-Distribution Detection


Feb 09, 2021
Dara Bahri, Heinrich Jiang, Yi Tay, Donald Metzler


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Stochastic Bandits with Linear Constraints


Jun 17, 2020
Aldo Pacchiano, Mohammad Ghavamzadeh, Peter Bartlett, Heinrich Jiang

* 9 pages 

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Faster DBSCAN via subsampled similarity queries


Jun 11, 2020
Heinrich Jiang, Jennifer Jang, Jakub Łącki


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