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ORCIDShabnam Daghaghi
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2020 – today
- 2023
[i5]Shabnam Daghaghi, Benjamin Coleman, Benito Geordie, Anshumali Shrivastava:
Adaptive Sampling for Deep Learning via Efficient Nonparametric Proxies. CoRR abs/2311.13583 (2023)- 2021
- [c3]Shabnam Daghaghi, Tharun Medini, Nicholas Meisburger, Beidi Chen, Mengnan Zhao, Anshumali Shrivastava:
A Tale of Two Efficient and Informative Negative Sampling Distributions. ICML 2021: 2319-2329 - [c2]Shabnam Daghaghi, Nicholas Meisburger, Mengnan Zhao, Anshumali Shrivastava:
Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More. MLSys 2021 - [c1]Shabnam Daghaghi, Tharun Medini, Anshumali Shrivastava:
SDM-Net: A simple and effective model for generalized zero-shot learning. UAI 2021: 2103-2113 - [i4]Shabnam Daghaghi, Nicholas Meisburger, Mengnan Zhao, Yong Wu, Sameh Gobriel, Charlie Tai, Anshumali Shrivastava:
Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More. CoRR abs/2103.10891 (2021) - 2020
- [i3]Shabnam Daghaghi, Tharun Medini, Beidi Chen, Mengnan Zhao, Anshumali Shrivastava:
A Constant-time Adaptive Negative Sampling. CoRR abs/2012.15843 (2020)
2010 – 2019
- 2019
- [i2]Shabnam Daghaghi, Anshumali Shrivastava, Tharun Medini:
Cross-Modal Mapping for Generalized Zero-Shot Learning by Soft-Labeling. ViGIL@NeurIPS 2019 - [i1]Shabnam Daghaghi, Tharun Medini, Anshumali Shrivastava:
Semantic Similarity Based Softmax Classifier for Zero-Shot Learning. CoRR abs/1909.04790 (2019)
Coauthor Index
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