E-LIB Suche - Ergebnisse für: Persand, Kaveena

1

Domino Saliency Metrics: Improving Existing Channel Salienc..:

, In: AIxIA 2021 – Advances in Artificial Intelligence; Lecture Notes in Computer Science,

Persand, Kaveena ; Anderson, Andrew ; Gregg, David - p. 447-461 , 2022

Link: https://doi.org/10.1007/..

2

Taxonomy of Saliency Metrics for Channel Pruning:

Persand, Kaveena ; Anderson, Andrew ; Gregg, David
IEEE Access. 9 (2021) - p. 120110-120126 , 2021

Link: https://doi.org/10.1109/..

3

Composition of Saliency Metrics for Pruning with a Myopic O..:

, In: 2020 IEEE Symposium Series on Computational Intelligence (SSCI),

Persand, Kaveena ; Anderson, Andrew ; Gregg, David - p. 753-759 , 2020

Link: https://doi.org/10.1109/..

4

Domino Saliency Metrics: Improving Existing Channel Salienc..:

Persand, Kaveena ; Anderson, Andrew ; Gregg, David
http://arxiv.org/abs/2205.02131. , 2022

Link: http://arxiv.org/abs/220..

5

Composition of Saliency Metrics for Channel Pruning with a ..:

Persand, Kaveena ; Anderson, Andrew ; Gregg, David
http://arxiv.org/abs/2004.03376. , 2020

Link: http://arxiv.org/abs/200..

6

Taxonomy of Saliency Metrics for Channel Pruning:

Persand, Kaveena ; Anderson, Andrew ; Gregg, David
http://arxiv.org/abs/1906.04675. , 2019

Link: http://arxiv.org/abs/190..

7

Improving Saliency Metrics for Channel Pruning of Convoluti..:

Persand, Kaveena Devi
Persand, Kaveena Devi, Improving Saliency Metrics for Channel Pruning of Convolutional Neural Networks, Trinity College Dublin.School of Computer Science & Statistics, 2022. , 2022

Link: http://hdl.handle.net/22..

8

Taxonomy of Saliency Metrics for Channel Pruning:

Kaveena Persand ; Andrew Anderson ; David Gregg
https://ieeexplore.ieee.org/document/9524570/. , 2021

Link: https://doi.org/10.1109/..