Name
Title | ||
|---|---|---|
Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars. |
Abstract | ||
|---|---|---|
The need to recognize long-term dependencies in sequential data, such as video streams, has made long short-term memory (LSTM) networks a prominent artificial intelligence model for many emerging applications. However, the high computational and memory demands of LSTMs introduce challenges in their deployment on latency-critical systems such as self-driving cars, which are equipped with limited co... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/MCE.2020.2969195 | IEEE Consumer Electronics Magazine |
Keywords | DocType | Volume |
Logic gates,Computational modeling,Hardware,Field programmable gate arrays,Autonomous automobiles,Autonomous vehicles | Journal | 9 |
Issue | ISSN | Citations |
4 | 2162-2248 | 0 |
PageRank | References | Authors |
0.34 | 29 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexandros Kouris | 1 | 7 | 1.14 |
| Stylianos I. Venieris | 2 | 106 | 12.98 |
| Michail Rizakis | 3 | 0 | 0.34 |
| Christos Savvas Bouganis | 4 | 400 | 49.04 |