Energy-efficient Amortized Inference with Cascaded Deep Classifiers

Energy-efficient Amortized Inference with Cascaded Deep Classifiers

10 October 2017

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Papers citing "Energy-efficient Amortized Inference with Cascaded Deep Classifiers"

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Title
Green Edge AI: A Contemporary SurveyProceedings of the IEEE (Proc. IEEE), 2023 Yuyi Mao X. Yu Kaibin Huang Ying-Jun Angela Zhang Jun Zhang 250 43 0 01 Dec 2023
USDC: Unified Static and Dynamic Compression for Visual Transformer Huan Yuan Chao Liao Jianchao Tan Peng Yao Jiyuan Jia Bin Chen Chengru Song Chen Zhang ViT 68 0 0 17 Oct 2023
SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers K. Navaneet Soroush Abbasi Koohpayegani Essam Sleiman Hamed Pirsiavash AAML ViT 126 4 0 04 Oct 2023
Batching for Green AI -- An Exploratory Study on InferenceEUROMICRO Conference on Software Engineering and Advanced Applications (EUROMICRO SEAA), 2023 Tim Yarally Luís Cruz Daniel Feitosa June Sallou A. V. Deursen 108 5 0 21 Jul 2023
Improving the Performance of DNN-based Software Services using Automated Layer Caching M. Abedi Yanni Iouannou Pooyan Jamshidi Hadi Hemmati 84 0 0 18 Sep 2022
Boost Test-Time Performance with Closed-Loop Inference Shuaicheng Niu Jiaxiang Wu Yifan Zhang Guanghui Xu Haokun Li Peilin Zhao Junzhou Huang Yaowei Wang Zhuliang Yu 169 7 0 21 Mar 2022
EREBA: Black-box Energy Testing of Adaptive Neural NetworksInternational Conference on Software Engineering (ICSE), 2022 Mirazul Haque Yaswanth Yadlapalli Wei Yang Cong Liu AAML 121 13 0 12 Feb 2022
Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New DirectionsMachine Intelligence Research (MIR), 2021 Yang Wu Dingheng Wang Xiaotong Lu Fan Yang Guoqi Li Weiming Dong Jianbo Shi 213 18 0 30 Aug 2021
Dynamic Neural Networks: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Yizeng Han Gao Huang Shiji Song Le Yang Honghui Wang Yulin Wang 3DH AI4TS AI4CE 255 762 0 09 Feb 2021
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate ModelsInternational Conference on Learning Representations (ICLR), 2020 Xiaofang Wang Dan Kondratyuk Eric Christiansen Kris Kitani Y. Alon Elad Eban 302 57 0 03 Dec 2020
Why should we add early exits to neural networks?Cognitive Computation (Cogn Comput), 2020 Simone Scardapane M. Scarpiniti E. Baccarelli A. Uncini 163 134 0 27 Apr 2020
InferLine: ML Prediction Pipeline Provisioning and Management for Tight Latency Objectives D. Crankshaw Gur-Eyal Sela Corey Zumar Xiangxi Mo Joseph E. Gonzalez Ion Stoica Alexey Tumanov 133 39 0 05 Dec 2018
Adaptive Neural TreesInternational Conference on Machine Learning (ICML), 2018 Ryutaro Tanno Kai Arulkumaran Daniel C. Alexander A. Criminisi A. Nori 596 170 0 17 Jul 2018
Approximation Algorithms for Cascading Prediction Models Matthew J. Streeter TPM 81 22 0 21 Feb 2018
SkipNet: Learning Dynamic Routing in Convolutional Networks Xin Wang Feng Yu Zi-Yi Dou Trevor Darrell Joseph E. Gonzalez 278 691 0 26 Nov 2017