## 2020 [Binary Neural Networks: A Survey](https://arxiv.org/pdf/2004.03333.pdf)


[2017 - Performance Comparison of Binarized Neural Network with Convolutional Neural Network](https://digitalcommons.mtu.edu/cgi/viewcontent.cgi?article=1578&context=etdr)

- [Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC](https://knowen-production.s3.amazonaws.com/uploads/attachment/file/5060/BNN%2Bacceleration.pdf)
Eriko Nurvitadhi, David Sheffield, Jaewoong Sim, Asit Mishra, Ganesh Venkatesh and Debbie Marr
Accelerator Architecture Lab, Intel Corporation

- [FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference](https://knowen-production.s3.amazonaws.com/uploads/attachment/file/5066/flightsNN.pdf)

## binary NN and multiplication

[In‐Memory Binary Vector–Matrix Multiplication Based on Complementary Resistive Switches](https://onlinelibrary.wiley.com/doi/10.1002/aisy.202000134)

.. versus fast FPGA - energy efficiency and array-level parallelism for performance

- [Parallel Matrix Multiplication on Memristor-Based Computation-in-Memory Architecture](http://pure.tudelft.nl/ws/files/10408550/10408497.pdf)


##  close but not crossbar? [PIMBALL: Binary Neural Networks in Spintronic Memory](https://arxiv.org/pdf/1812.03989.pdf)

## 2016 [XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks](https://arxiv.org/pdf/1603.05279.pdf)

## [ENABLING BINARY NEURAL NETWORK TRAINING ON THE EDGE](https://knowen-production.s3.amazonaws.com/uploads/attachment/file/5076/enabling-binary-neural-network-training-on-the-edge.pdf)

2019 [Deep Neural Network Approximation for Custom Hardware: Where We’ve Been, Where We’re Going](https://arxiv.org/pdf/1901.06955.pdf) ERWEI WANG