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Fully Dynamic Inference with Deep Neural Networks

Fully Dynamic Inference with Deep Neural Networks

29 July 2020
Wenhan Xia
Hongxu Yin
Xiaoliang Dai
N. Jha
    3DH
    BDL
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Papers citing "Fully Dynamic Inference with Deep Neural Networks"

5 / 5 papers shown
Title
Predicting Probabilities of Error to Combine Quantization and Early
  Exiting: QuEE
Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE
Florence Regol
Joud Chataoui
Bertrand Charpentier
Mark Coates
Pablo Piantanida
Stephan Gunnemann
55
0
0
20 Jun 2024
Model Adaptation for Time Constrained Embodied Control
Model Adaptation for Time Constrained Embodied Control
Jaehyun Song
Minjong Yoo
Honguk Woo
55
0
0
17 Jun 2024
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design
  Framework
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework
Shikhar Tuli
Chia-Hao Li
Ritvik Sharma
N. Jha
43
15
0
07 Dec 2022
AdaViT: Adaptive Tokens for Efficient Vision Transformer
AdaViT: Adaptive Tokens for Efficient Vision Transformer
Hongxu Yin
Arash Vahdat
J. Álvarez
Arun Mallya
Jan Kautz
Pavlo Molchanov
ViT
35
320
0
14 Dec 2021
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
327
10,237
0
16 Nov 2016
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