Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Gated XNOR Networks: Deep Neural Networks with Ternary Weights and Activations under a Unified Discretization Framework
Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
Universal Function Approximation by Deep Neural Nets with Bounded Width and ReLU Activations
BINARIZED NEURAL NETWORKS
Bitwise Neural Networks
Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks
Deep neural networks are robust to weight binarization and other non-linear distortions
Accelerating Neural Networks using Channel Gating
Training Ternary Neural Networks with Exact Proximal Operator
Towards Binary-Valued Gates for Robust LSTM Training
Approximate Probabilistic Neural Networks with Gated Threshold Logic
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Understanding Deep Neural Networks with Rectified Linear Units
Multi-Bias Non-linear Activation in Deep Neural Networks
Scalable high-performance architecture for convolutional ternary neural networks on FPGA
Artificial Neuron Network Implementation of Boolean Logic Gates by Perceptron and Threshold Element as Neuron Output Function
L OSS-AWARE B INARIZATION OF D EEP N ETWORKS
DropNeuron: Simplifying the Structure of Deep Neural Networks
A multilayer gated bilinear classifier: From optimizing a deep rectified network to a support vector machine
Gate-variants of Gated Recurrent Unit (GRU) neural networks
Embedded Binarized Neural Networks
Support-vector networks
Airblue: a system for cross-layer wireless protocol development
Adaptive Fog Configuration for the Industrial Internet of Things
Long-Term Visual Localization Using Semantically Segmented Images
Adolescent Physical Activity Participation and Motivational Determinants Across Gender, Age, and Race