Zero Time Waste: Recycling Predictions in Early Exit Neural Networks

Zero Time Waste: Recycling Predictions in Early Exit Neural Networks

9 June 2021

Maciej Wołczyk

Bartosz Wójcik

Klaudia Bałazy

Igor T. Podolak

Tomasz Trzciñski

Papers citing "Zero Time Waste: Recycling Predictions in Early Exit Neural Networks"

15 / 15 papers shown

Title
Exploring Dynamic Transformer for Efficient Object Tracking Jiawen Zhu Xin Chen Haiwen Diao Shuai Li Jun-Yan He Chenyang Li Bin Luo Dong Wang Huchuan Lu 63 2 0 26 Mar 2024
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance Jaskirat Singh Emad Fallahzadeh Bram Adams Ahmed E. Hassan MQ 45 3 0 25 Mar 2024
Dynamic nsNet2: Efficient Deep Noise Suppression with Early Exiting Riccardo Miccini Alaa Zniber Clément Laroche Tobias Piechowiak Martin Schoeberl Luca Pezzarossa Ouassim Karrakchou J. Sparsø Mounir Ghogho 33 1 0 31 Aug 2023
Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs Yi Sun Xin Xu Jian Li Xiaochang Hu Yifei Shi L. Zeng 39 2 0 31 May 2023
Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks via Aggregated Early Exits Simone Sarti Eugenio Lomurno Matteo Matteucci 27 4 0 28 Jan 2023
Understanding the Robustness of Multi-Exit Models under Common Corruptions Akshay Mehra Skyler Seto Navdeep Jaitly B. Theobald AAML 24 3 0 03 Dec 2022
Efficiently Controlling Multiple Risks with Pareto Testing Bracha Laufer-Goldshtein Adam Fisch Regina Barzilay Tommi Jaakkola 38 16 0 14 Oct 2022
Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference Xiangjie Li Chen Lou Zhengping Zhu Yuchi Chen Yingtao Shen Yehan Ma An Zou 27 21 0 09 Jun 2022
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses Robik Shrestha Kushal Kafle Christopher Kanan CML 38 13 0 05 Apr 2022
Towards Disentangling Information Paths with Coded ResNeXt Apostolos Avranas Marios Kountouris FAtt 32 1 0 10 Feb 2022
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models Maciej Wołczyk Magdalena Proszewska Lukasz Maziarka Maciej Ziȩba Patryk Wielopolski Rafał Kurczab Marek Śmieja DRL 29 5 0 18 Sep 2021
Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead Arian Bakhtiarnia Qi Zhang Alexandros Iosifidis 29 35 0 19 May 2021
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges Yoshitomo Matsubara Marco Levorato Francesco Restuccia 33 199 0 08 Mar 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,613 0 17 Apr 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 278 5,695 0 05 Dec 2016