Pruning and quantization for deep neural network acceleration: A survey

A comprehensive survey on model compression and acceleration

(2020) Tejalal Choudhary et al.   ARTIFICIAL INTELLIGENCE REVIEW

Training high-performance and large-scale deep neural networks with full 8-bit integers

(2020) Yukuan Yang et al.   NEURAL NETWORKS

Binary neural networks: A survey

(2020) Haotong Qin et al.   PATTERN RECOGNITION

A Dual-Attention Recurrent Neural Network Method for Deep Cone Thickener Underflow Concentration Prediction

(2020) Zhaolin Yuan et al.   SENSORS

AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference

(2020) Jian-Hao Luo et al.   PATTERN RECOGNITION

Toolflows for Mapping Convolutional Neural Networks on FPGAs

(2018) Stylianos I. Venieris et al.   ACM COMPUTING SURVEYS

Angel-Eye: A Complete Design Flow for Mapping CNN Onto Embedded FPGA

(2018) Kaiyuan Guo et al.   IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS

Ristretto: A Framework for Empirical Study of Resource-Efficient Inference in Convolutional Neural Networks

(2018) Philipp Gysel et al.   IEEE Transactions on Neural Networks and Learning Systems

Recent advances in efficient computation of deep convolutional neural networks

(2018) Jian Cheng et al.   Frontiers of Information Technology & Electronic Engineering

Recent Advances in Convolutional Neural Network Acceleration

(2018) Qianru Zhang et al.   NEUROCOMPUTING

$L1$ -Norm Batch Normalization for Efficient Training of Deep Neural Networks

(2018) Shuang Wu et al.   IEEE Transactions on Neural Networks and Learning Systems

Energy-Efficient Design of Processing Element for Convolutional Neural Network

(2017) Yeongjae Choi et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS

Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks

(2017) Shu-Chang Zhou et al.   JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY

The cascading neural network: building the Internet of Smart Things

(2017) Sam Leroux et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Learning Pooling for Convolutional Neural Network

(2017) Manli Sun et al.   NEUROCOMPUTING

Efficient Processing of Deep Neural Networks: A Tutorial and Survey

(2017) Vivienne Sze et al.   PROCEEDINGS OF THE IEEE

A survey of neural network accelerators

(2017) Zhen Li et al.   Frontiers of Computer Science

DianNao family

(2016) Yunji Chen et al.   COMMUNICATIONS OF THE ACM

Convolutional networks for fast, energy-efficient neuromorphic computing

(2016) Steven K. Esser et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Deep learning

(2015) Yann LeCun et al.   NATURE

Channel-level acceleration of deep face representations

(2015) Adam Polyak et al.   IEEE Access

Convolutional Neural Networks for Speech Recognition

(2014) Ossama Abdel-Hamid et al.   IEEE-ACM Transactions on Audio Speech and Language Processing

Tensor Completion for Estimating Missing Values in Visual Data

(2012) Ji Liu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A MENage à Trois in Leukemia

(2008) Liya Roudaia et al.   CANCER CELL

Solving local minima problem with large number of hidden nodes on two-layered feed-forward artificial neural networks

(2008) Bumghi Choi et al.   NEUROCOMPUTING