Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: A Deep Look into Logarithmic Quantization of Model Parameters in Neural Networks
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Improving Deep Neural Network with Multiple Parametric Exponential Linear Units
Data-free parameter pruning for Deep Neural Networks
An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections
deep compression : compressing deep neural network with pruning , trained quantization and huffman coding .
Cascade C NN : Pushing the Performance Limits of Quantisation in Convolutional Neural Networks
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
Theoretical Insights Into the Optimization Landscape of Over-Parameterized Shallow Neural Networks
Defend Deep Neural Networks Against Adversarial Examples via Fixed and Dynamic Quantized Activation Functions
A Deep Neural Network Compression Pipeline: Pruning, Quantization, Huffman Encoding
Towards a Stable Quantized Convolutional Neural Networks: An Embedded Perspective
A Survey of Model Compression and Acceleration for Deep Neural Networks
Value-aware Quantization for Training and Inference of Neural Networks
Model compression as constrained optimization, with application to neural nets. Part I: general framework
Efficient hardware acceleration of CNNs using logarithmic data representation with arbitrary log-base
The loss surface of deep and wide neural networks
Bit-Regularized Optimization of Neural Nets
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
Learning the Number of Neurons in Deep Networks
Quantizing deep convolutional networks for efficient inference: A whitepaper
Assigning personality/identity to a chatting machine for coherent conversation generation
comparison of mortality rates for three smoking groups in three databases * .
Evaluating Strengths and Weaknesses of Agile Scrum Framework using Knowledge Management
Bayesian Optimization with Inequality Constraints
Digital Background-Calibration Algorithm for “Split ADC” Architecture