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 4201–4250 of 4925 papers

TitleStatusHype
Resource Allocation and Dithering of Bayesian Parameter Estimation Using Mixed-Resolution Data—0
Resource Allocation for Compression-aided Federated Learning with High Distortion Rate—0
Resource-aware Mixed-precision Quantization for Enhancing Deployability of Transformers for Time-series Forecasting on Embedded FPGAs—0
Resource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation—0
Resource-Efficient Language Models: Quantization for Fast and Accessible Inference—0
Resource-Efficient Neural Networks for Embedded Systems—0
Resource Efficient Neural Networks Using Hessian Based Pruning—0
Resource-Efficient Transformer Architecture: Optimizing Memory and Execution Time for Real-Time Applications—0
ResQ: Residual Quantization for Video Perception—0
Restorative Speech Enhancement: A Progressive Approach Using SE and Codec Modules—0
Résumé abstractif à partir d'une transcription audio—0
Rethinking Deconvolution for 2D Human Pose Estimation Light yet Accurate Model for Real-time Edge Computing—0
Rethinking Diffusion for Text-Driven Human Motion Generation—0
Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression—0
Rethinking Discrete Tokens: Treating Them as Conditions for Continuous Autoregressive Image Synthesis—0
Rethinking Few-Shot Medical Segmentation: A Vector Quantization View—0
Rethinking Generalization in American Sign Language Prediction for Edge Devices with Extremely Low Memory Footprint—0
Rethinking Mutual Information for Language Conditioned Skill Discovery on Imitation Learning—0
Rethinking Neural Network Quantization—0
Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach—0
Retraining-Based Iterative Weight Quantization for Deep Neural Networks—0
Reverse Link Analysis for Full-Duplex Cellular Networks with Low Resolution ADC/DAC—0
Reversible Quantization Index Modulation for Static Deep Neural Network Watermarking—0
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study—0
Revisiting DNN Training for Intermittently-Powered Energy-Harvesting Micro-Computers—0
Revisiting Locality-Sensitive Binary Codes from Random Fourier Features—0
Revisiting Quantization Error in Face Alignment—0
Revisiting Uncertainty Estimation and Calibration of Large Language Models—0
Revolutionizing Mobile Interaction: Enabling a 3 Billion Parameter GPT LLM on Mobile—0
REx: Data-Free Residual Quantization Error Expansion—0
RFI Mitigation for One-bit UWB Radar Systems—0
Riemannian Manifold Embeddings for Straight-Through Estimator—0
RIS-Assisted Energy Harvesting Gains for Bistatic Backscatter Networks: Performance Analysis and RIS Phase Optimization—0
RIS-Assisted Self-Interference Mitigation for In-Band Full-Duplex Transceivers—0
Risk Assessment for Connected Vehicles under Stealthy Attacks on Vehicle-to-Vehicle Networks—0
Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses—0
RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression—0
RLRC: Reinforcement Learning-based Recovery for Compressed Vision-Language-Action Models—0
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions—0
RobSurv: Vector Quantization-Based Multi-Modal Learning for Robust Cancer Survival Prediction—0
Robust Anomaly-Based Ship Proposals Detection from Pan-sharpened High-Resolution Satellite Image—0
Mixed-TD: Efficient Neural Network Accelerator with Layer-Specific Tensor DecompositionCode0
Compressing 3D Gaussian Splatting by Noise-Substituted Vector QuantizationCode0
Mixed-Precision Quantization for Deep Vision Models with Integer Quadratic ProgrammingCode0
BitMoD: Bit-serial Mixture-of-Datatype LLM AccelerationCode0
Model-Aware Deep Architectures for One-Bit Compressive Variational AutoencodingCode0
An Underexplored Dilemma between Confidence and Calibration in Quantized Neural NetworksCode0
Distributed dual vigilance fuzzy adaptive resonance theory learns online, retrieves arbitrarily-shaped clusters, and mitigates order dependenceCode0
QNCD: Quantization Noise Correction for Diffusion ModelsCode0
TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain AdaptationCode0
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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