Papers citing "MLPerf Mobile Inference Benchmark"

9 / 9 papers shown

Title
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI Arya Tschand Arun Tejusve Raghunath Rajan S. Idgunji Anirban Ghosh J. Holleman ... Rowan Taubitz Sean Zhan Scott Wasson David Kanter Vijay Janapa Reddi 130 3 0 15 Oct 2024
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators Yunyang Xiong Hanxiao Liu Suyog Gupta Berkin Akin Gabriel Bender Yongzhe Wang Pieter-Jan Kindermans Mingxing Tan Vikas Singh Bo Chen ObjD 45 133 0 30 Apr 2020
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices Zhiqing Sun Hongkun Yu Xiaodan Song Renjie Liu Yiming Yang Denny Zhou MQ 124 819 0 06 Apr 2020
AI Benchmark: All About Deep Learning on Smartphones in 2019 Andrey D. Ignatov Radu Timofte Andrei Kulik Seungsoo Yang Ke Wang Felix Baum Max Wu Lirong Xu Luc Van Gool ELM 53 221 0 15 Oct 2019
AIBench: An Industry Standard Internet Service AI Benchmark Suite Wanling Gao Fei Tang Lei Wang Jianfeng Zhan Chunxin Lan ... Yatao Li Junchao Shao Zhenyu Wang Xiaoyu Wang Hainan Ye 63 45 0 13 Aug 2019
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 495 13,215 0 07 Feb 2018
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 318 8,186 0 16 Jun 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 266 8,864 0 01 Oct 2015
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture David Eigen Rob Fergus VLM MDE 217 2,685 0 18 Nov 2014