Measuring the Algorithmic Efficiency of Neural Networks

8 May 2020

Papers citing "Measuring the Algorithmic Efficiency of Neural Networks"

16 / 16 papers shown

Title
The Graph's Apprentice: Teaching an LLM Low Level Knowledge for Circuit Quality Estimation Reza Moravej Saurabh Bodhe Zhanguang Zhang Didier Chetelat Dimitrios Tsaras Yingxue Zhang Hui-Ling Zhen Jianye Hao M. Yuan 57 1 0 17 Feb 2025
Life-Cycle Emissions of AI Hardware: A Cradle-To-Grave Approach and Generational Trends Ian Schneider Hui Xu Stephan Benecke David Patterson Keguo Huang Parthasarathy Ranganathan Cooper Elsworth 70 2 0 01 Feb 2025
AI capabilities can be significantly improved without expensive retraining Tom Davidson Jean-Stanislas Denain Pablo Villalobos Guillem Bas OffRL VLM 24 26 0 12 Dec 2023
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI Dustin Wright Christian Igel Gabrielle Samuel Raghavendra Selvan 32 15 0 05 Sep 2023
Criticality versus uniformity in deep neural networks A. Bukva Jurriaan de Gier Kevin T. Grosvenor R. Jefferson K. Schalm Eliot Schwander 31 3 0 10 Apr 2023
Bifrost: End-to-End Evaluation and Optimization of Reconfigurable DNN Accelerators Axel Stjerngren Perry Gibson José Cano 28 4 0 26 Apr 2022
SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks Won Joon Yun Yunseok Kwak Hankyul Baek Soyi Jung Mingyue Ji M. Bennis Jihong Park Joongheon Kim 18 16 0 26 Mar 2022
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks Hankyul Baek Won Joon Yun Yunseok Kwak Soyi Jung Mingyue Ji M. Bennis Jihong Park Joongheon Kim FedML 74 21 0 05 Dec 2021
Automated Essay Scoring Using Transformer Models Sabrina Ludwig Christian W. F. Mayer Christopher Hansen Kerstin Eilers Steffen Brandt 19 38 0 13 Oct 2021
SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference Jude Haris Perry Gibson José Cano Nicolas Bohm Agostini David Kaeli 41 19 0 01 Oct 2021
Compute and Energy Consumption Trends in Deep Learning Inference Radosvet Desislavov Fernando Martínez-Plumed José Hernández-Orallo 35 113 0 12 Sep 2021
Greenformers: Improving Computation and Memory Efficiency in Transformer Models via Low-Rank Approximation Samuel Cahyawijaya 26 12 0 24 Aug 2021
Accelerating Federated Learning with a Global Biased Optimiser Jed Mills Jia Hu Geyong Min Rui Jin Siwei Zheng Jin Wang FedML AI4CE 34 9 0 20 Aug 2021
Efficient and Generic 1D Dilated Convolution Layer for Deep Learning Narendra Chaudhary Sanchit Misra Dhiraj D. Kalamkar A. Heinecke E. Georganas Barukh Ziv Menachem Adelman Bharat Kaul 26 9 0 16 Apr 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016