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 2126–2150 of 4925 papers

TitleStatusHype
Expectation maximization transfer learning and its application for bionic hand prostheses—0
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization—0
Codec-ASR: Training Performant Automatic Speech Recognition Systems with Discrete Speech Representations—0
A Precision-Scalable RISC-V DNN Processor with On-Device Learning Capability at the Extreme Edge—0
Adaptive Wireless Image Semantic Transmission: Design, Simulation, and Prototype Validation—0
eXmY: A Data Type and Technique for Arbitrary Bit Precision Quantization—0
CodeBrain: Impute Any Brain MRI via Instance-specific Scalar-quantized Codes—0
Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing—0
A Practical Mixed Precision Algorithm for Post-Training Quantization—0
Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements—0
Codebook based Audio Feature Representation for Music Information Retrieval—0
Exact Bias Correction and Covariance Estimation for Stereo Vision—0
Codage \'echelonnable \`a granularit\'e fine de la parole : Application au codeur G.729 (Fine granularity scalable speech coding: Application to the G.729 coder) [in French]—0
Adaptive Wireless Image Semantic Transmission and Over-The-Air Testing—0
Event-Triggered Quantized Average Consensus via Mass Summation—0
Distributed Inference with Sparse and Quantized Communication—0
Event Retrieval in Large Video Collections with Circulant Temporal Encoding—0
Cocktail: Chunk-Adaptive Mixed-Precision Quantization for Long-Context LLM Inference—0
Approximation speed of quantized vs. unquantized ReLU neural networks and beyond—0
Eventor: An Efficient Event-Based Monocular Multi-View Stereo Accelerator on FPGA Platform—0
Event-Based Bispectral Photometry Using Temporally Modulated Illumination—0
Evaluation of quality measures for color quantization—0
Evaluation of Linear Implicit Quantized State System method for analyzing mission performance of power systems—0
CoAst: Validation-Free Contribution Assessment for Federated Learning based on Cross-Round Valuation—0
Approximation of functions with one-bit 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