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Quantization

92 papers with code · Methodology

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Latest papers with code

Quantization-Based Regularization for Autoencoders

27 May 2019AlbertOh90/Soft-VQ-VAE

We show that our proposed regularization method results in improved latent representations for both supervised learning and clustering downstream tasks when compared to autoencoders using other bottleneck structures.

DENOISING QUANTIZATION

1
27 May 2019

Additive Noise Annealing and Approximation Properties of Quantized Neural Networks

24 May 2019spallanzanimatteo/QuantLab

We present a theoretical and experimental investigation of the quantization problem for artificial neural networks.

IMAGE CLASSIFICATION QUANTIZATION

1
24 May 2019

ACIQ: Analytical Clipping for Integer Quantization of neural networks

ICLR 2019 submission2019/AnalyticalScaleForIntegerQuantization

We analyze the trade-off between quantization noise and clipping distortion in low precision networks.

QUANTIZATION

5
01 May 2019

Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks

22 Apr 2019yochaiz/Slimmable

While mainstream deep learning methods train the neural networks weights while keeping the network architecture fixed, the emerging neural architecture search (NAS) techniques make the latter also amenable to training.

ARCHITECTURE SEARCH NETWORK PRUNING QUANTIZATION

4
22 Apr 2019

Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression

20 Mar 2019mauriceqch/pcc_geo_cnn_samples

Efficient point cloud compression is fundamental to enable the deployment of virtual and mixed reality applications, since the number of points to code can range in the order of millions.

QUANTIZATION

0
20 Mar 2019

Trained Uniform Quantization for Accurate and Efficient Neural Network Inference on Fixed-Point Hardware

19 Mar 2019Xilinx/graffitist

We propose a method of training quantization clipping thresholds for uniform symmetric quantizers using standard backpropagation and gradient descent.

QUANTIZATION

29
19 Mar 2019

Deep Log-Likelihood Ratio Quantization

11 Mar 2019mariusarvinte/deep-llr-quantization

In this work, a deep learning-based method for log-likelihood ratio (LLR) lossy compression and quantization is proposed, with emphasis on a single-input single-output uncorrelated fading communication setting.

QUANTIZATION

0
11 Mar 2019

Efficient and Effective Quantization for Sparse DNNs

7 Mar 2019deep-fry/mayo

Deep convolutional neural networks (CNNs) are powerful tools for a wide range of vision tasks, but the enormous amount of memory and compute resources required by CNNs poses a challenge in deploying them on constrained devices.

QUANTIZATION

36
07 Mar 2019

Binarized Knowledge Graph Embeddings

8 Feb 2019KokiKishimoto/cp_decomposition_alpha

This limitation is expected to become more stringent as existing knowledge graphs, which are already huge, keep steadily growing in scale.

KNOWLEDGE GRAPH COMPLETION KNOWLEDGE GRAPH EMBEDDINGS QUANTIZATION

4
08 Feb 2019

Deep Triplet Quantization

1 Feb 2019thulab/DeepHash

We propose Deep Triplet Quantization (DTQ), a novel approach to learning deep quantization models from the similarity triplets.

IMAGE RETRIEVAL QUANTIZATION

198
01 Feb 2019