Shabnam Daghaghi

According to our database, Shabnam Daghaghi authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Adaptive Sampling for Deep Learning via Efficient Nonparametric Proxies.

Shabnam Daghaghi, Benjamin Coleman, Benito Geordie, Anshumali Shrivastava

CoRR, 2023

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

SDM-Net: A simple and effective model for generalized zero-shot learning.

Shabnam Daghaghi, Tharun Medini, Anshumali Shrivastava

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More.

Shabnam Daghaghi, Nicholas Meisburger, Mengnan Zhao, Anshumali Shrivastava

Proceedings of Machine Learning and Systems 2021, 2021

A Tale of Two Efficient and Informative Negative Sampling Distributions.

Shabnam Daghaghi, Tharun Medini, Nicholas Meisburger, Beidi Chen, Mengnan Zhao, Anshumali Shrivastava

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

A Constant-time Adaptive Negative Sampling.

Shabnam Daghaghi, Tharun Medini, Beidi Chen, Mengnan Zhao, Anshumali Shrivastava

CoRR, 2020

2019

Semantic Similarity Based Softmax Classifier for Zero-Shot Learning.

Shabnam Daghaghi, Tharun Medini, Anshumali Shrivastava

CoRR, 2019

Cross-Modal Mapping for Generalized Zero-Shot Learning by Soft-Labeling.

Shabnam Daghaghi, Anshumali Shrivastava, Tharun Medini

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019