56 citations · 137 across the 31 of their papers we have counts for
4 papers · 1 filter
A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunities
Fuxun Yu, Di Wang, Longfei Shangguan +4
Deep Learning (DL) models have achieved superior performance in many application domains, including vision, language, medical, commercial ads, entertainment, etc. With the fast dev…
NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM
Connor Holmes, Minjia Zhang, Yuxiong He +1
Natural Language Processing (NLP) has recently achieved success by using huge pre-trained Transformer networks. However, these models often contain hundreds of millions or even bil…
Carousel Memory: Rethinking the Design of Episodic Memory for Continual Learning
Soobee Lee, Minindu Weerakoon, Jonghyun Choi +3
Continual Learning (CL) is an emerging machine learning paradigm that aims to learn from a continuous stream of tasks without forgetting knowledge learned from the previous tasks.…
Understanding and Generalizing Monotonic Proximity Graphs for Approximate Nearest Neighbor Search
Dantong Zhu, Minjia Zhang
Graph-based algorithms have shown great empirical potential for the approximate nearest neighbor (ANN) search problem. Currently, graph-based ANN search algorithms are designed mai…