Shabnam Daghaghi

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 8

Top Topics

Adaptive Sampling

Semantic Similarity

Top Venues

Publications

Shabnam Daghaghi, Benjamin Coleman, Benito Geordie, Anshumali Shrivastava
Adaptive Sampling for Deep Learning via Efficient Nonparametric Proxies. CoRR (2023)
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 (2021)
Shabnam Daghaghi, Nicholas Meisburger, Mengnan Zhao, Anshumali Shrivastava
Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More. MLSys (2021)
Shabnam Daghaghi, Tharun Medini, Nicholas Meisburger, Beidi Chen, Mengnan Zhao, Anshumali Shrivastava
A Tale of Two Efficient and Informative Negative Sampling Distributions. ICML (2021)
Shabnam Daghaghi, Tharun Medini, Anshumali Shrivastava
SDM-Net: A simple and effective model for generalized zero-shot learning. UAI (2021)
Shabnam Daghaghi, Tharun Medini, Beidi Chen, Mengnan Zhao, Anshumali Shrivastava
A Constant-time Adaptive Negative Sampling. CoRR (2020)
Shabnam Daghaghi, Tharun Medini, Anshumali Shrivastava
Semantic Similarity Based Softmax Classifier for Zero-Shot Learning. CoRR (2019)
Shabnam Daghaghi, Anshumali Shrivastava, Tharun Medini
Cross-Modal Mapping for Generalized Zero-Shot Learning by Soft-Labeling. ViGIL@NeurIPS (2019)