nips45

NeurIPS(NIPS) 2019 论文列表

Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing - NeurIPS Edition, EMC2@NeurIPS 2019, Vancouver, Canada, December 13, 2019.

On Hardware-Aware Probabilistic Frameworks for Resource Constrained Embedded Applications.

Laura Isabel Galindez Olascoaga Wannes Meert Nimish Shah Guy Van den Broeck Marian Verhelst

Neural Networks Weights Quantization: Target None-retraining Ternary (TNT).

Tianyu Zhang Lei Zhu Qian Zhao Kilho Shin

Spoken Language Understanding on the Edge.

Alaa Saade Joseph Dureau David Leroy Francesco Caltagirone Alice Coucke Adrien Ball Clément Doumouro Thibaut Lavril Alexandre Caulier Théodore Bluche Thibault Gisselbrecht Maël Primet

Bit Efficient Quantization for Deep Neural Networks.

Prateeth Nayak David Zhang Sek Chai

Algorithm-hardware Co-design for Deformable Convolution.

Qijing Huang Dequan Wang Yizhao Gao Yaohui Cai Zhen Dong Bichen Wu Kurt Keutzer John Wawrzynek

Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models.

Peter Izsak Shira Guskin Moshe Wasserblat

Towards Co-designing Neural Network Function Approximators with In-SRAM Computing.

Shamma Nasrin Diaa Badawi Ahmet Enis Çetin Wilfred Gomes Amit Ranjan Trivedi

Q8BERT: Quantized 8Bit BERT.

Ofir Zafrir Guy Boudoukh Peter Izsak Moshe Wasserblat

Progressive Stochastic Binarization of Deep Networks.

David Hartmann Michael Wand

Instant Quantization of Neural Networks using Monte Carlo Methods.

Gonçalo Mordido Matthijs Van Keirsbilck Alexander Keller

YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection.

Alexander Wong Mahmoud Famouri Mohammad Javad Shafiee Francis Li Brendan Chwyl Jonathan Chung

Pushing the limits of RNN Compression.

Urmish Thakker Igor Fedorov Jesse G. Beu Dibakar Gope Chu Zhou Ganesh Dasika Matthew Mattina

Trained Rank Pruning for Efficient Deep Neural Networks.

Yuhui Xu Yuxi Li Shuai Zhang Wei Wen Botao Wang Wenrui Dai Yingyong Qi Yiran Chen Weiyao Lin Hongkai Xiong

QPyTorch: A Low-Precision Arithmetic Simulation Framework.

Tianyi Zhang Zhiqiu Lin Guandao Yang Christopher De Sa

Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Inference.

Jeffrey L. McKinstry Steven K. Esser Rathinakumar Appuswamy Deepika Bablani John V. Arthur Izzet B. Yildiz Dharmendra S. Modha

Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment.

Jingyang Zhang Huanrui Yang Fan Chen Yitu Wang Hai Li