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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2251–2300 of 4925 papers

TitleStatusHype
MBQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network QuantizationCode1
Analyzing Compression Techniques for Computer Vision—0
GSB: Group Superposition Binarization for Vision Transformer with Limited Training SamplesCode0
Quantization in Spiking Neural NetworksCode0
Accelerator-Aware Training for Transducer-Based Speech Recognition—0
Patch-wise Mixed-Precision Quantization of Vision Transformer—0
Speaker Diaphragm Excursion Prediction: deep attention and online adaptation—0
PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel TransformerCode1
Mobile Image Restoration via Prior Quantization—0
Post-training Model Quantization Using GANs for Synthetic Data GenerationCode0
Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution NetworksCode1
Multiscale Augmented Normalizing Flows for Image Compression—0
Spiking Neural Networks in the Alexiewicz Topology: A New Perspective on Analysis and Error BoundsCode0
CrAFT: Compression-Aware Fine-Tuning for Efficient Visual Task Adaptation—0
Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation—0
A multimodal dynamical variational autoencoder for audiovisual speech representation learningCode0
Vertical Federated Learning over Cloud-RAN: Convergence Analysis and System Optimization—0
Emulation Learning for Neuromimetic Systems—0
AQ-GT: a Temporally Aligned and Quantized GRU-Transformer for Co-Speech Gesture SynthesisCode1
Hybrid model for Single-Stage Multi-Person Pose Estimation—0
ICQ: A Quantization Scheme for Best-Arm Identification Over Bit-Constrained Channels—0
Guaranteed Quantization Error Computation for Neural Network Model Compression—0
Killing Two Birds with One Stone: Quantization Achieves Privacy in Distributed Learning—0
Membrane Potential Distribution Adjustment and Parametric Surrogate Gradient in Spiking Neural Networks—0
The Bjøntegaard Bible -- Why your Way of Comparing Video Codecs May Be WrongCode1
DQS3D: Densely-matched Quantization-aware Semi-supervised 3D DetectionCode1
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks—0
Speed Is All You Need: On-Device Acceleration of Large Diffusion Models via GPU-Aware Optimizations—0
Picking Up Quantization Steps for Compressed Image ClassificationCode0
Transformer-based models and hardware acceleration analysis in autonomous driving: A survey—0
Improving Post-Training Quantization on Object Detection with Task Loss-Guided Lp Metric—0
Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scalingCode1
DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables—0
ATHEENA: A Toolflow for Hardware Early-Exit Network Automation—0
ViPLO: Vision Transformer based Pose-Conditioned Self-Loop Graph for Human-Object Interaction DetectionCode1
Soft Label Coding for End-to-end Sound Source Localization With Ad-hoc Microphone Arrays—0
Convergence rate of Tsallis entropic regularized optimal transport—0
End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs—0
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large InputCode1
D-SVM over Networked Systems with Non-Ideal Linking Conditions—0
Learning Accurate Performance Predictors for Ultrafast Automated Model CompressionCode0
Binary Latent DiffusionCode1
Unsupervised Multi-Criteria Adversarial Detection in Deep Image Retrieval—0
SwiftTron: An Efficient Hardware Accelerator for Quantized TransformersCode1
EMP-SSL: Towards Self-Supervised Learning in One Training EpochCode2
Unsupervised Speech Representation Pooling Using Vector QuantizationCode0
Benchmarking the Robustness of Quantized Models—0
Similarity search in the blink of an eye with compressed indicesCode2
FedDiSC: A Computation-efficient Federated Learning Framework for Power Systems Disturbance and Cyber Attack Discrimination—0
AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks—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