SOTAVerified

Quantization

Quantization is a promising technique to reduce the computation cost of neural network training, which can replace high-cost floating-point numbers (e.g., float32) with low-cost fixed-point numbers (e.g., int8/int16).

Source: Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers

Papers

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Showing 4626–4650 of 4925 papers

TitleStatusHype
Stacked Denoising Autoencoders and Transfer Learning for Immunogold Particles Detection and Recognition—0
Composite QuantizationCode0
Adaptive Quantization for Deep Neural Network—0
Avaliação do método dialético na quantização de imagens multiespectrais—0
Triagem virtual de imagens de imuno-histoquímica usando redes neurais artificiais e espectro de padrões—0
Fuzzy-Based Dialectical Non-Supervised Image Classification and Clustering—0
Simple strategies for recovering inner products from coarsely quantized random projections—0
Multiscale Quantization for Fast Similarity Search—0
Practical Data-Dependent Metric Compression with Provable Guarantees—0
Online Product Quantization—0
WSNet: Compact and Efficient Networks Through Weight Sampling—0
Expectation maximization transfer learning and its application for bionic hand prostheses—0
Warped-Linear Models for Time Series Classification—0
End-to-End Supervised Product Quantization for Image Search and Retrieval—0
Integral Human Pose RegressionCode0
Deep reverse tone mappingCode0
Design of Sampling Set for Bandlimited Graph Signal Estimation—0
qBitcoin: A Peer-to-Peer Quantum Cash System—0
A Genetic Algorithm Approach for ImageRepresentation Learning through Color Quantization—0
The Neural Network Pushdown Automaton: Model, Stack and Learning SimulationsCode0
Weightless: Lossy Weight Encoding For Deep Neural Network CompressionCode0
ADaPTION: Toolbox and Benchmark for Training Convolutional Neural Networks with Reduced Numerical Precision Weights and Activation—0
Quantized Memory-Augmented Neural Networks—0
Unbounded cache model for online language modeling with open vocabularyCode0
Distribution-Preserving k-Anonymity—0
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All datasetsImageNetCIFAR-10Wiki-40BAgeDB-30CFP-FPCOCO (Common Objects in Context)IJB-BIJB-CKnowledge-based:LFW

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FQ-ViT (ViT-L)Top-1 Accuracy (%)85.03—Unverified
2FQ-ViT (ViT-B)Top-1 Accuracy (%)83.31—Unverified
3FQ-ViT (Swin-B)Top-1 Accuracy (%)82.97—Unverified
4FQ-ViT (Swin-S)Top-1 Accuracy (%)82.71—Unverified
5FQ-ViT (DeiT-B)Top-1 Accuracy (%)81.2—Unverified
6FQ-ViT (Swin-T)Top-1 Accuracy (%)80.51—Unverified
7FQ-ViT (DeiT-S)Top-1 Accuracy (%)79.17—Unverified
8Xception W8A8Top-1 Accuracy (%)78.97—Unverified
9ADLIK-MO-ResNet50-W4A4Top-1 Accuracy (%)77.88—Unverified
10ADLIK-MO-ResNet50-W3A4Top-1 Accuracy (%)77.34—Unverified
#ModelMetricClaimedVerifiedStatus
13DCNN_VIVA_3MAP160,327.04—Unverified
2DTQMAP0.79—Unverified
#ModelMetricClaimedVerifiedStatus
1OutEffHop-Bert_basePerplexity6.3—Unverified
2OutEffHop-Bert_basePerplexity6.21—Unverified
#ModelMetricClaimedVerifiedStatus
1Accuracy98.13—Unverified
#ModelMetricClaimedVerifiedStatus
1Accuracy92.92—Unverified
#ModelMetricClaimedVerifiedStatus
1SSD ResNet50 V1 FPN 640x640MAP34.3—Unverified
#ModelMetricClaimedVerifiedStatus
1TAR @ FAR=1e-495.13—Unverified
#ModelMetricClaimedVerifiedStatus
1TAR @ FAR=1e-496.38—Unverified
#ModelMetricClaimedVerifiedStatus
13DCNN_VIVA_5All84,809,664—Unverified
#ModelMetricClaimedVerifiedStatus
1Accuracy99.8—Unverified