Title
Learned Step Size Quantization S. K. Esser J. McKinstry Deepika Bablani R. Appuswamy D. Modha MQ 31 782 0 21 Feb 2019
DNNVM : End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-based CNN Accelerators Yu Xing Shuang Liang Lingzhi Sui Xijie Jia Jiantao Qiu Xin Liu Yushun Wang Yu Wang Yi Shan 46 68 0 20 Feb 2019
Low-bit Quantization of Neural Networks for Efficient Inference Yoni Choukroun Eli Kravchik Fan Yang P. Kisilev MQ 33 356 0 18 Feb 2019
Graph-RISE: Graph-Regularized Image Semantic Embedding Da-Cheng Juan Chun-Ta Lu Zerui Li Futang Peng Aleksei Timofeev Yi-Ting Chen Yaxi Gao Tom Duerig Andrew Tomkins Sujith Ravi 26 40 0 14 Feb 2019
Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications Peifeng Yu Mosharaf Chowdhury 18 72 0 12 Feb 2019
PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite Jiajia Li Yuchen Ma Xiaolong Wu Ang Li Kevin J. Barker 25 18 0 08 Feb 2019
SiamVGG: Visual Tracking using Deeper Siamese Networks Yuhong Li Xiaofan Zhang Deming Chen ViT 52 47 0 07 Feb 2019
Exploration of Performance and Energy Trade-offs for Heterogeneous Multicore Architectures Anastasiia Butko Florent Bruguier D. Novo A. Gamatie G. Sassatelli 19 10 0 06 Feb 2019
Neural-Network Guided Expression Transformation Romain Edelmann Viktor Kunčak 16 1 0 06 Feb 2019
Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorization Eldad Meller Alexander Finkelstein Uri Almog Mark Grobman MQ 24 85 0 05 Feb 2019
ROMANet: Fine-Grained Reuse-Driven Off-Chip Memory Access Management and Data Organization for Deep Neural Network Accelerators Rachmad Vidya Wicaksana Putra Muhammad Abdullah Hanif Mohamed Bennai 9 21 0 04 Feb 2019
CapStore: Energy-Efficient Design and Management of the On-Chip Memory for CapsuleNet Inference Accelerators Alberto Marchisio Muhammad Abdullah Hanif Mohammad Taghi Teimoori Mohamed Bennai 8 7 0 04 Feb 2019
TF-Replicator: Distributed Machine Learning for Researchers P. Buchlovsky David Budden Dominik Grewe Chris Jones John Aslanides ... Aidan Clark Sergio Gomez Colmenarejo Aedan Pope Fabio Viola Dan Belov GNN OffRL AI4CE 37 20 0 01 Feb 2019
Memory-Efficient Adaptive Optimization Rohan Anil Vineet Gupta Tomer Koren Y. Singer ODL 21 49 0 30 Jan 2019
The OoO VLIW JIT Compiler for GPU Inference Paras Jain Xiangxi Mo Ajay Jain Alexey Tumanov Joseph E. Gonzalez Ion Stoica 39 17 0 28 Jan 2019
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting Ritchie Zhao Yuwei Hu Jordan Dotzel Christopher De Sa Zhiru Zhang OODD MQ 55 305 0 28 Jan 2019
FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture Yu Ji Youyang Zhang Xinfeng Xie Shuangchen Li Peiqi Wang Xing Hu Youhui Zhang Yuan Xie 25 55 0 28 Jan 2019
Intrinsically Sparse Long Short-Term Memory Networks Shiwei Liu Decebal Constantin Mocanu Mykola Pechenizkiy 30 9 0 26 Jan 2019
Sparse evolutionary Deep Learning with over one million artificial neurons on commodity hardware Shiwei Liu Decebal Constantin Mocanu A. R. Ramapuram Matavalam Yulong Pei Mykola Pechenizkiy BDL 16 88 0 26 Jan 2019
Revisiting Self-Supervised Visual Representation Learning Alexander Kolesnikov Xiaohua Zhai Lucas Beyer SSL 77 715 0 25 Jan 2019
Pricing options and computing implied volatilities using neural networks Shuaiqiang Liu C. Oosterlee S. Bohté 19 119 0 25 Jan 2019
Large-Batch Training for LSTM and Beyond Yang You Jonathan Hseu Chris Ying J. Demmel Kurt Keutzer Cho-Jui Hsieh 30 89 0 24 Jan 2019
Partition Pruning: Parallelization-Aware Pruning for Deep Neural Networks Sina Shahhosseini Ahmad Albaqsami Masoomeh Jasemi N. Bagherzadeh 12 8 0 21 Jan 2019
Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going Erwei Wang James J. Davis Ruizhe Zhao Ho-Cheung Ng Xinyu Niu Wayne Luk P. Cheung George A. Constantinides 24 59 0 21 Jan 2019
No DNN Left Behind: Improving Inference in the Cloud with Multi-Tenancy Amit Samanta Suhas Shrinivasan Antoine Kaufmann Jonathan Mace AI4CE 6 7 0 21 Jan 2019
Heterogeneous FPGA+GPU Embedded Systems: Challenges and Opportunities Mohammad Hosseinabady M. A. Zainol J. Núñez-Yáñez 9 10 0 18 Jan 2019
NNStreamer: Stream Processing Paradigm for Neural Networks, Toward Efficient Development and Execution of On-Device AI Applications MyungJoo Ham Jijoong Moon Geunsik Lim Wook Song Jaeyun Jung ... Sangjung Woo Youngchul Cho Jinhyuck Park Sewon Oh Hong-Seok Kim 17 6 0 12 Jan 2019
Low Precision Constant Parameter CNN on FPGA Thiam Khean Hah Yeong Tat Liew Jason Ong 9 2 0 11 Jan 2019
CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers A. Koliousis Pijika Watcharapichat Matthias Weidlich Luo Mai Paolo Costa Peter R. Pietzuch 32 69 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 30 97 0 07 Jan 2019
DSConv: Efficient Convolution Operator Marcelo Gennari Roger Fawcett V. Prisacariu MQ 32 62 0 07 Jan 2019
Dynamic Space-Time Scheduling for GPU Inference Paras Jain Xiangxi Mo Ajay Jain Harikaran Subbaraj Rehana Durrani Alexey Tumanov Joseph E. Gonzalez Ion Stoica 35 64 0 31 Dec 2018
Batch Size Influence on Performance of Graphic and Tensor Processing Units during Training and Inference Phases Yuriy Kochura Yuri G. Gordienko Vlad Taran N. Gordienko Alexandr Rokovyi Oleg Alienin S. Stirenko AI4CE 19 30 0 31 Dec 2018
ORIGAMI: A Heterogeneous Split Architecture for In-Memory Acceleration of Learning Hajar Falahati Pejman Lotfi-Kamran Mohammad Sadrosadati H. Sarbazi-Azad 9 8 0 30 Dec 2018
Distill-Net: Application-Specific Distillation of Deep Convolutional Neural Networks for Resource-Constrained IoT Platforms Mohammad Motamedi Felix Portillo Daniel D. Fong S. Ghiasi 28 3 0 16 Dec 2018
Bayesian Layers: A Module for Neural Network Uncertainty Dustin Tran Michael W. Dusenberry Mark van der Wilk Danijar Hafner UQCV BDL 27 121 0 10 Dec 2018
Wireless Network Intelligence at the Edge Jihong Park S. Samarakoon M. Bennis Mérouane Debbah 23 518 0 07 Dec 2018
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 14 38 0 05 Dec 2018
Deep Positron: A Deep Neural Network Using the Posit Number System Zachariah Carmichael Seyed Hamed Fatemi Langroudi Char Khazanov Jeffrey Lillie J. Gustafson Dhireesha Kudithipudi MQ 17 96 0 05 Dec 2018
Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling Jacob Menick Nal Kalchbrenner 28 150 0 04 Dec 2018
Making BREAD: Biomimetic strategies for Artificial Intelligence Now and in the Future J. Krichmar William M. Severa Salar M. Khan J. Olds AI4CE 21 21 0 04 Dec 2018
Pre-Defined Sparse Neural Networks with Hardware Acceleration Sourya Dey Kuan-Wen Huang P. Beerel K. Chugg 41 24 0 04 Dec 2018
Predicting the Computational Cost of Deep Learning Models Daniel Justus John Brennan Stephen Bonner A. Mcgough 9 228 0 28 Nov 2018
Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware Natan Liss Chaim Baskin A. Mendelson A. Bronstein Raja Giryes MQ 24 5 0 27 Nov 2018
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications Jongsoo Park Maxim Naumov Protonu Basu Summer Deng Aravind Kalaiah ... Lin Qiao Vijay Rao Nadav Rotem S. Yoo M. Smelyanskiy FedML GNN BDL 20 187 0 24 Nov 2018
Building Efficient Deep Neural Networks with Unitary Group Convolutions Ritchie Zhao Yuwei Hu Jordan Dotzel Christopher De Sa Zhiru Zhang 32 28 0 19 Nov 2018
A Survey on Spark Ecosystem for Big Data Processing Shanjian Tang Bingsheng He Ce Yu Yusen Li Kun Li 17 11 0 18 Nov 2018
Image Classification at Supercomputer Scale Chris Ying Sameer Kumar Dehao Chen Tao Wang Youlong Cheng VLM 21 122 0 16 Nov 2018
Streaming End-to-end Speech Recognition For Mobile Devices Yanzhang He Tara N. Sainath Rohit Prabhavalkar Ian McGraw R. Álvarez ... K. Sim Tom Bagby Shuo-yiin Chang Kanishka Rao A. Gruenstein 54 624 0 15 Nov 2018
Performance Estimation of Synthesis Flows cross Technologies using LSTMs and Transfer Learning Cunxi Yu Wang Zhou AI4TS 9 0 0 14 Nov 2018