9 citations · 30 across the 7 of their papers we have counts for
4 papers · 1 filter
A Tale of Two Efficient and Informative Negative Sampling Distributions
Shabnam Daghaghi, Tharun Medini, Nicholas Meisburger +3
Softmax classifiers with a very large number of classes naturally occur in many applications such as natural language processing and information retrieval. The calculation of full…
SOLAR: Sparse Orthogonal Learned and Random Embeddings
Tharun Medini, Beidi Chen, Anshumali Shrivastava
Dense embedding models are commonly deployed in commercial search engines, wherein all the document vectors are pre-computed, and near-neighbor search (NNS) is performed with the q…
Discovering Traveling Companions using Autoencoders
Xiaochang Li, Bei Chen, Xuesong Lu
With the wide adoption of mobile devices, today's location tracking systems such as satellites, cellular base stations and wireless access points are continuously producing tremend…
Climbing the WOL: Training for Cheaper Inference
Zichang Liu, Zhaozhuo Xu, Alan Ji +3
Efficient inference for wide output layers (WOLs) is an essential yet challenging task in large scale machine learning. Most approaches reduce this problem to approximate maximum i…