1 citations · 2 across the 2 of their papers we have counts for
3 papers
End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning
Yao Xiao, Guixiang Ma, Nesreen K. Ahmed +4
To enable heterogeneous computing systems with autonomous programming and optimization capabilities, we propose a unified, end-to-end, programmable graph representation learning (P…
Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay
Hsiang-Yun Sherry Chien, Javier S. Turek, Nicole Beckage +3
Sequential information contains short- to long-range dependencies; however, learning long-timescale information has been a challenge for recurrent neural networks. Despite improvem…
Procrustean Orthogonal Sparse Hashing
Mariano Tepper, Dipanjan Sengupta, Ted Willke
Hashing is one of the most popular methods for similarity search because of its speed and efficiency. Dense binary hashing is prevalent in the literature. Recently, insect olfactio…