Deep Learning with Limited Numerical Precision

9 February 2015

Papers citing "Deep Learning with Limited Numerical Precision"

21 / 21 papers shown

Title
GPU Memory Usage Optimization for Backward Propagation in Deep Network Training Ding-Yong Hong Tzu-Hsien Tsai Ning Wang Pangfeng Liu Jan-Jan Wu 103 0 0 18 Feb 2025
Forget the Data and Fine-Tuning! Just Fold the Network to Compress Dong Wang Haris Šikić Lothar Thiele O. Saukh 115 1 0 17 Feb 2025
BeST -- A Novel Source Selection Metric for Transfer Learning Ashutosh Soni Peizhong Ju A. Eryilmaz Ness B. Shroff 147 0 0 19 Jan 2025
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance Jaskirat Singh Bram Adams Ahmed E. Hassan VLM 80 0 0 01 Nov 2024
SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning for Compression Ho Fung Tsoi Vladimir Loncar S. Dasu Philip C. Harris 187 3 0 18 Jan 2024
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration Mike Heddes Narayan Srinivasa T. Givargis Alexandru Nicolau 244 0 0 12 Jan 2024
Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach Giovanni Luca Marchetti Gabriele Cesa Kumar Pratik Arash Behboodi 118 2 0 14 Nov 2023
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI Dustin Wright Christian Igel Gabrielle Samuel Raghavendra Selvan 80 15 0 05 Sep 2023
On the Convergence of the Gradient Descent Method with Stochastic Fixed-point Rounding Errors under the Polyak-Lojasiewicz Inequality Lu Xia M. Hochstenbach Stefano Massei 67 2 0 23 Jan 2023
Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices Tayfun Gokmen M. Onen W. Haensch 66 140 0 22 May 2017
Hardware-Software Codesign of Accurate, Multiplier-free Deep Neural Networks Hokchhay Tann S. Hashemi Iris Bahar Sherief Reda MQ 67 74 0 11 May 2017
Ternary Neural Networks with Fine-Grained Quantization Naveen Mellempudi Abhisek Kundu Dheevatsa Mudigere Dipankar Das Bharat Kaul Pradeep Dubey MQ 91 111 0 02 May 2017
An OpenCL(TM) Deep Learning Accelerator on Arria 10 U. Aydonat Shane O'Connell D. Capalija A. Ling Gordon R. Chiu BDL AI4CE 68 240 0 13 Jan 2017
Alternating Direction Method of Multipliers for Sparse Convolutional Neural Networks Farkhondeh Kiaee Christian Gagné Mahdieh Abbasi 73 23 0 05 Nov 2016
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio MQ 149 1,864 0 22 Sep 2016
TrueHappiness: Neuromorphic Emotion Recognition on TrueNorth P. U. Diehl Bruno U. Pedroni A. Cassidy P. Merolla Emre Neftci Guido Zarrella 78 65 0 16 Jan 2016
Deep Image: Scaling up Image Recognition Ren Wu Shengen Yan Yi Shan Qingqing Dang Gang Sun VLM 63 373 0 13 Jan 2015
Learning Machines Implemented on Non-Deterministic Hardware Suyog Gupta Vikas Sindhwani K. Gopalakrishnan 41 2 0 09 Sep 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 453 7,663 0 03 Jul 2012
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright 198 2,273 0 28 Jun 2011
Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition D. Ciresan U. Meier L. Gambardella Jürgen Schmidhuber 114 993 0 01 Mar 2010