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Quantization

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An Inter-Layer Weight Prediction and Quantization for Deep Neural Networks based on a Smoothly Varying Weight Hypothesis

16 Jul 2019

Based on SVWH and an inter-frame prediction method in conventional video coding schemes, we propose a new \textit{Inter-Layer Weight Prediction} (ILWP) and quantization method which quantize the predicted residuals of the weights.

QUANTIZATION

Learning Multimodal Fixed-Point Weights using Gradient Descent

16 Jul 2019

Due to their high computational complexity, deep neural networks are still limited to powerful processing units.

QUANTIZATION

The Bach Doodle: Approachable music composition with machine learning at scale

14 Jul 2019

To make music composition more approachable, we designed the first AI-powered Google Doodle, the Bach Doodle, where users can create their own melody and have it harmonized by a machine learning model Coconet (Huang et al., 2017) in the style of Bach.

QUANTIZATION

And the Bit Goes Down: Revisiting the Quantization of Neural Networks

12 Jul 2019

In this paper, we address the problem of reducing the memory footprint of ResNet-like convolutional network architectures.

OBJECT CLASSIFICATION QUANTIZATION

A Targeted Acceleration and Compression Framework for Low bit Neural Networks

9 Jul 2019

In this paper, we propose a novel Targeted Acceleration and Compression (TAC) framework to improve the performance of 1 bit deep neural networks W e consider that the acceleration and compression effects of binarizing fully connected layer s are not sufficient to compensate for the accuracy loss caused by it In the proposed framework, t he convolutional and fully connected layer are separated and optimized i ndividually .

NETWORK PRUNING QUANTIZATION

Multi-Scale Vector Quantization with Reconstruction Trees

8 Jul 2019

Our main technical contribution is an analysis of the expected distortion achieved by the proposed algorithm, when the data are assumed to be sampled from a fixed unknown distribution.

QUANTIZATION

Non-structured DNN Weight Pruning Considered Harmful

3 Jul 2019

Based on the proposed comparison framework, with the same accuracy and quantization, the results show that non-structrued pruning is not competitive in terms of both storage and computation efficiency.

MODEL COMPRESSION QUANTIZATION

Deep Convolutional Compression for Massive MIMO CSI Feedback

2 Jul 2019

In comparison with previous works, the main contributions of DeepCMC are two-fold: i) DeepCMC is fully convolutional, and it can be used in a wide range of scenarios with various numbers of sub-channels and transmit antennas; ii) DeepCMC includes quantization and entropy coding blocks and minimizes a cost function that accounts for both the rate of compression and the reconstruction quality of the channel matrix at the BS.

QUANTIZATION

Weight Normalization based Quantization for Deep Neural Network Compression

1 Jul 2019

WNQ adopts weight normalization to avoid the long-tail distribution of network weights and subsequently reduces the quantization error.

NEURAL NETWORK COMPRESSION QUANTIZATION

Compression of Acoustic Event Detection Models With Quantized Distillation

1 Jul 2019

Acoustic Event Detection (AED), aiming at detecting categories of events based on audio signals, has found application in many intelligent systems.

QUANTIZATION