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 3551–3600 of 4925 papers

TitleStatusHype
A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps—0
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models—0
Alternate Learning based Sparse Semantic Communications for Visual Transmission—0
Alternating Co-Quantization for Cross-Modal Hashing—0
Alternating Direction Method of Multipliers for Quantization—0
Alternating Multi-bit Quantization for Recurrent Neural Networks—0
A Markovian Model-Driven Deep Learning Framework for Massive MIMO CSI Feedback—0
A Memory-Efficient Learning Framework for SymbolLevel Precoding with Quantized NN Weights—0
Amenable Sparse Network Investigator—0
A method of using RSVD in residual calculation of LowBit GEMM—0
A Modular Neural Network Based Deep Learning Approach for MIMO Signal Detection—0
A multi-layer image representation using Regularized Residual Quantization: application to compression and denoising—0
AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference—0
An Adaptive Device-Edge Co-Inference Framework Based on Soft Actor-Critic—0
An adaptive random experiment design method for engineering experiment—0
An Adaptive Statistical Non-uniform Quantizer for Detail Wavelet Components in Lossy JPEG2000 Image Compression—0
An Additive Latent Feature Model for Transparent Object Recognition—0
Analog-digital Scheduling for Federated Learning: A Communication-Efficient Approach—0
Analog Spiking Neuron in CMOS 28 nm Towards Large-Scale Neuromorphic Processors—0
Analysis and Optimization for RIS-Aided Multi-Pair Communications Relying on Statistical CSI—0
Analysis of Null Related Beampattern Measures and Signal Quantization Effects for Linear Differential Microphone Arrays—0
Analysis of Oversampling in Uplink Massive MIMO-OFDM with Low-Resolution ADCs—0
Analysis of Quantization on MLP-based Vision Models—0
Analysis of Quantized Models—0
Analysis of the influence of final resolution on ADC accuracy—0
Analytical aspects of non-differentiable neural networks—0
Analyzing Compression Techniques for Computer Vision—0
Analyzing Quantization in TVM—0
An Analysis on Quantizing Diffusion Transformers—0
An anatomy-based V1 model: Extraction of Low-level Features, Reduction of distortion and a V1-inspired SOM—0
An Application of Backpropagation Artificial Neural Network Method for Measuring The Severity of Osteoarthritis—0
An Automata-Theoretic Approach to Synthesizing Binarized Neural Networks—0
An Efficient Index for Visual Search in Appearance-based SLAM—0
An Efficient Network with Novel Quantization Designed for Massive MIMO CSI Feedback—0
An Embedded Iris Recognition System Optimization using Dynamically ReconfigurableDecoder with LDPC Codes—0
An Empirical Study of Low Precision Quantization for TinyML—0
An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms—0
An End-to-End DNN Inference Framework for the SpiNNaker2 Neuromorphic MPSoC—0
A "Network Pruning Network" Approach to Deep Model Compression—0
A new heuristic algorithm for fast k-segmentation—0
A New Learning Method for Inference Accuracy, Core Occupation, and Performance Co-optimization on TrueNorth Chip—0
A New Old Idea: Beam-Steering Reflectarrays for Efficient Sub-THz Multiuser MIMO—0
An Exact Quantized Decentralized Gradient Descent Algorithm—0
An Experimental Study: Assessing the Combined Framework of WavLM and BEST-RQ for Text-to-Speech Synthesis—0
An Experimental Study of Reduced-Voltage Operation in Modern FPGAs for Neural Network Acceleration—0
An Extra RMSNorm is All You Need for Fine Tuning to 1.58 Bits—0
Angle Estimation of a Single Source with Massive Uniform Circular Arrays—0
Angular Quantization-based Binary Codes for Fast Similarity Search—0
An Implementation of Vector Quantization using the Genetic Algorithm Approach—0
An Improved BKW Algorithm for LWE with Applications to Cryptography and Lattices—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