Cross-Modal Mapping for Generalized Zero-Shot Learning by Soft-Labeling. - Shabnam Daghaghi; Anshumali Shrivastava; Tharun Medini (ViGIL@NeurIPS, 2019)

Semantic Similarity Based Softmax Classifier for Zero-Shot Learning. - Shabnam Daghaghi; Tharun Medini; Anshumali Shrivastava (CoRR, 2019)

A Constant-time Adaptive Negative Sampling. - Shabnam Daghaghi; Tharun Medini; Beidi Chen; Mengnan Zhao; Anshumali Shrivastava (CoRR, 2020)

A Tale of Two Efficient and Informative Negative Sampling Distributions. - Shabnam Daghaghi; Tharun Medini; Nicholas Meisburger; Beidi Chen; Mengnan Zhao; Anshumali Shrivastava (ICML, 2021)

Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More. - Shabnam Daghaghi; Nicholas Meisburger; Mengnan Zhao; Anshumali Shrivastava (MLSys, 2021)

SDM-Net: A simple and effective model for generalized zero-shot learning. - Shabnam Daghaghi; Tharun Medini; Anshumali Shrivastava (UAI, 2021)

Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More. - Shabnam Daghaghi; Nicholas Meisburger; Mengnan Zhao; Yong Wu; Sameh Gobriel; Charlie Tai; Anshumali Shrivastava (CoRR, 2021)

Adaptive Sampling for Deep Learning via Efficient Nonparametric Proxies. - Shabnam Daghaghi; Benjamin Coleman; Benito Geordie; Anshumali Shrivastava (CoRR, 2023)