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 1551–1600 of 4925 papers

TitleStatusHype
End-to-End Optimized Speech Coding with Deep Neural Networks—0
End-to-end Quantized Training via Log-Barrier Extensions—0
End-to-End Rate-Distortion Optimization for Bi-Directional Learned Video Compression—0
FastQuery: Communication-efficient Embedding Table Query for Private LLM Inference—0
EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference—0
Edge AI: Evaluation of Model Compression Techniques for Convolutional Neural Networks—0
Energy-Aware LLMs: A step towards sustainable AI for downstream applications—0
Energy awareness in low precision neural networks—0
Energy Efficiency Maximization Precoding for Quantized Massive MIMO Systems—0
Energy Efficiency Optimization for Millimeter Wave System with Resolution-Adaptive ADCs—0
Energy-Efficient Distributed Learning Algorithms for Coarsely Quantized Signals—0
Energy-efficient Knowledge Distillation for Spiking Neural Networks—0
Energy Efficient Learning with Low Resolution Stochastic Domain Wall Synapse Based Deep Neural Networks—0
Energy-Efficient Respiratory Anomaly Detection in Premature Newborn Infants—0
Energy-Efficient Transformer Inference: Optimization Strategies for Time Series Classification—0
Engineering the Neural Automatic Passenger Counter—0
BMPQ: Bit-Gradient Sensitivity Driven Mixed-Precision Quantization of DNNs from Scratch—0
Edge AI-Enabled Chicken Health Detection Based on Enhanced FCOS-Lite and Knowledge Distillation—0
An Implementation of Vector Quantization using the Genetic Algorithm Approach—0
EDAS: Efficient and Differentiable Architecture Search—0
Adaptive Asymmetric Label-guided Hashing for Multimedia Search—0
Enhancement Of Coded Speech Using a Mask-Based Post-Filter—0
ECG Biometric Authentication Using Self-Supervised Learning for IoT Edge Sensors—0
BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices—0
Single-path Bit Sharing for Automatic Loss-aware Model Compression—0
Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization—0
Fast Orthogonal Projection Based on Kronecker Product—0
Enhancing Diversity for Data-free Quantization—0
Enhancing Field-Oriented Control of Electric Drives with Tiny Neural Network Optimized for Micro-controllers—0
Enhancing Generalization of Invisible Facial Privacy Cloak via Gradient Accumulation—0
FastSGD: A Fast Compressed SGD Framework for Distributed Machine Learning—0
Enhancing Kinship Verification through Multiscale Retinex and Combined Deep-Shallow features—0
Block-Wise Dynamic-Precision Neural Network Training Acceleration via Online Quantization Sensitivity Analytics—0
Reclaiming Residual Knowledge: A Novel Paradigm to Low-Bit Quantization—0
Enhancing Off-Grid One-Bit DOA Estimation with Learning-Based Sparse Bayesian Approach for Non-Uniform Sparse Array—0
Enhancing Perception Quality in Remote Sensing Image Compression via Invertible Neural Network—0
EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs—0
Enhancing Speech Emotion Recognition with Graph-Based Multimodal Fusion and Prosodic Features for the Speech Emotion Recognition in Naturalistic Conditions Challenge at Interspeech 2025—0
Enhancing Strong PUF Security with Non-monotonic Response Quantization—0
A Post-coder Feedback Approach to Overcome Training Asymmetry in MIMO-TDD—0
Blockwise Compression of Transformer-based Models without Retraining—0
EntroLLM: Entropy Encoded Weight Compression for Efficient Large Language Model Inference on Edge Devices—0
Entropy Coding Improvement for Low-complexity Compressive Auto-encoders—0
Entropy-Driven Mixed-Precision Quantization for Deep Network Design—0
Entropy optimized semi-supervised decomposed vector-quantized variational autoencoder model based on transfer learning for multiclass text classification and generation—0
Angular Quantization-based Binary Codes for Fast Similarity Search—0
EoRA: Training-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation—0
EPIM: Efficient Processing-In-Memory Accelerators based on Epitome—0
Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platforms—0
E^2BoWs: An End-to-End Bag-of-Words Model via Deep Convolutional Neural Network—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