Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Design space exploration of FPGA accelerators for convolutional neural networks
Going Deeper with Embedded FPGA Platform for Convolutional Neural Network
DLAU: A Scalable Deep Learning Accelerator Unit on FPGA
Image convolution processing: A GPU versus FPGA comparison
An Architecture to Accelerate Convolution in Deep Neural Networks
A fully pipelined hardware architecture for convolutional neural network with low memory usage and DRAM bandwidth
Computation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator Design
An Energy-Efficient FPGA-Based Deconvolutional Neural Networks Accelerator for Single Image Super-Resolution
A fully connected layer elimination for a binarizec convolutional neural network on an FPGA
Design of an Energy-Efficient Accelerator for Training of Convolutional Neural Networks using Frequency-Domain Computation
FPGA based implementation of deep neural networks using on-chip memory only
Origami: A 803 GOp/s/W Convolutional Network Accelerator
An automatic RTL compiler for high-throughput FPGA implementation of diverse deep convolutional neural networks
Structured Probabilistic Pruning for Convolutional Neural Network Acceleration
FlexiGAN: An End-to-End Solution for FPGA Acceleration of Generative Adversarial Networks
FPGA-based accelerator for long short-term memory recurrent neural networks
A Locality Aware Convolutional Neural Networks Accelerator
Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform
A compiler approach to fast hardware design space exploration in FPGA-based systems
Efficient Hardware Architectures for Deep Convolutional Neural Network
Customizing Low-Precision Deep Neural Networks for FPGAs
A systematic review of the effects of euthanasia and occupational stress in personnel working with animals in animal shelters, veterinary clinics, and biomedical research facilities
predicting creativity and academic success with a ‘ ‘ fake - proof ” measure of the big five .
Macromastia: a review of presentation and management.
A programmable parallel accelerator for learning and classification
Reducing Image Compression Artifacts by Structural Sparse Representation and Quantization Constraint Prior