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 2551–2575 of 4925 papers

TitleStatusHype
Rate Distortion For Model Compression: From Theory To Practice—0
Rate-Distortion Optimization with Non-Reference Metrics for UGC Compression—0
Rate-Distortion Optimized Post-Training Quantization for Learned Image Compression—0
Rateless Stochastic Coding for Delay-Constrained Semantic Communication—0
Rate-Loss Mitigation for a Millimeter-Wave Beamspace MIMO Lens Antenna Array System Using a Hybrid Beam-Selection Scheme—0
Rate-splitting Multiple Access for Hierarchical HAP-LAP Networks under Limited Fronthaul—0
RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Internet of Things—0
RCNet: Incorporating Structural Information into Deep RNN for MIMO-OFDM Symbol Detection with Limited Training—0
Poisoning Semi-supervised Federated Learning via Unlabeled Data: Attacks and Defenses—0
Lightweight Embedded FPGA Deployment of Learned Image Compression with Knowledge Distillation and Hybrid Quantization—0
ReactDance: Progressive-Granular Representation for Long-Term Coherent Reactive Dance Generation—0
Experimental implementation of a neural network optical channel equalizer in restricted hardware using pruning and quantization—0
Realizing a Low-Power Head-Mounted Phase-Only Holographic Display by Light-Weight Compression—0
ReALLM: A general framework for LLM compression and fine-tuning—0
Real-Time detection, classification and DOA estimation of Unmanned Aerial Vehicle—0
Real-Time Distributed Model Predictive Control with Limited Communication Data Rates—0
Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators—0
Real-time Indexing for Large-scale Recommendation by Streaming Vector Quantization Retriever—0
Real-time Mask Detection on Google Edge TPU—0
Real-Time Object Detection and Recognition on Low-Compute Humanoid Robots using Deep Learning—0
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml—0
Real-Time Stress Detection via Photoplethysmogram Signals: Implementation of a Combined Continuous Wavelet Transform and Convolutional Neural Network on Resource-Constrained Microcontrollers—0
RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks—0
Received Power Maximization Using Nonuniform Discrete Phase Shifts for RISs With a Limited Phase Range—0
Recent Advances in Efficient Computation of Deep Convolutional 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