Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving

7 October 2021

Papers citing "Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving"

30 / 30 papers shown

Title
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training Y. Fu Haoran You Yang Zhao Yue Wang Chaojian Li K. Gopalakrishnan Zhangyang Wang Yingyan Lin MQ 68 32 0 24 Dec 2020
Procrustes: a Dataflow and Accelerator for Sparse Deep Neural Network Training Dingqing Yang Amin Ghasemazar X. Ren Maximilian Golub G. Lemieux Mieszko Lis 52 48 0 23 Sep 2020
TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference Mostafa Mahmoud Isak Edo Vivancos Ali Hadi Zadeh Omar Mohamed Awad Gennady Pekhimenko Jorge Albericio Andreas Moshovos MoE 77 59 0 01 Sep 2020
A Survey of Methods for Low-Power Deep Learning and Computer Vision Abhinav Goel Caleb Tung Yung-Hsiang Lu George K. Thiruvathukal VLM 41 94 0 24 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 556 42,639 0 03 Dec 2019
E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings Yue Wang Ziyu Jiang Xiaohan Chen Pengfei Xu Yang Zhao Yingyan Lin Zhangyang Wang MQ 97 83 0 29 Oct 2019
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM Skanda Koppula Lois Orosa A. G. Yaglikçi Roknoddin Azizi Taha Shahroodi Konstantinos Kanellopoulos O. Mutlu 78 107 0 12 Oct 2019
Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers Yukuan Yang Shuang Wu Lei Deng Tianyi Yan Yuan Xie Guoqi Li MQ 155 112 0 05 Sep 2019
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference Kumar Shridhar F. Laumann Marcus Liwicki BDL UQCV 83 176 0 08 Jan 2019
HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array Linghao Song Jiachen Mao Youwei Zhuo Xuehai Qian Hai Helen Li Yiran Chen 69 98 0 07 Jan 2019
Training Deep Neural Networks with 8-bit Floating Point Numbers Naigang Wang Jungwook Choi D. Brand Chia-Yu Chen K. Gopalakrishnan MQ 75 503 0 19 Dec 2018
On Machine Learning and Structure for Mobile Robots Markus Wulfmeier 34 6 0 15 Jun 2018
Scalable Methods for 8-bit Training of Neural Networks Ron Banner Itay Hubara Elad Hoffer Daniel Soudry MQ 84 339 0 25 May 2018
Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training Bojian Zheng Abhishek Tiwari Nandita Vijaykumar Gennady Pekhimenko 60 44 0 22 May 2018
Spatial Uncertainty Sampling for End-to-End Control Alexander Amini A. Soleimany S. Karaman Daniela Rus UQCV BDL 47 30 0 13 May 2018
VIBNN: Hardware Acceleration of Bayesian Neural Networks R. Cai Ao Ren Ning Liu Caiwen Ding Luhao Wang Xuehai Qian Massoud Pedram Yanzhi Wang BDL 80 87 0 02 Feb 2018
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks Linnan Wang Jinmian Ye Yiyang Zhao Wei Wu Ang Li Shuaiwen Leon Song Zenglin Xu Tim Kraska 3DH 111 267 0 13 Jan 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 190 696 0 15 Nov 2017
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 256 2,405 0 21 Jun 2016
End to End Learning for Self-Driving Cars Mariusz Bojarski D. Testa Daniel Dworakowski Bernhard Firner B. Flepp ... Urs Muller Jiakai Zhang Xin Zhang Jake Zhao Karol Zieba SSL 102 4,178 0 25 Apr 2016
Distributed Deep Learning Using Synchronous Stochastic Gradient Descent Dipankar Das Sasikanth Avancha Dheevatsa Mudigere K. Vaidyanathan Srinivas Sridharan Dhiraj D. Kalamkar Bharat Kaul Pradeep Dubey GNN 66 170 0 22 Feb 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 305 4,812 0 04 Jan 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,510 0 10 Dec 2015
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding Alex Kendall Vijay Badrinarayanan R. Cipolla UQCV BDL 94 1,066 0 09 Nov 2015
P-CNN: Pose-based CNN Features for Action Recognition Guilhem Chéron Ivan Laptev Cordelia Schmid 62 613 0 11 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 869 9,353 0 06 Jun 2015
Deep Learning with Limited Numerical Precision Suyog Gupta A. Agrawal K. Gopalakrishnan P. Narayanan HAI 207 2,049 0 09 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,529 0 04 Sep 2014
Two-Stream Convolutional Networks for Action Recognition in Videos Karen Simonyan Andrew Zisserman 261 7,545 0 09 Jun 2014
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 273 2,628 0 29 Jun 2012