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 3651–3675 of 4925 papers

TitleStatusHype
OL-DN: Online learning based dual-domain network for HEVC intra frame quality enhancement—0
On Accelerating Edge AI: Optimizing Resource-Constrained Environments—0
On Adaptive Transmission for Distributed Detection in Energy Harvesting Wireless Sensor Networks with Limited Fusion Center Feedback—0
On a Relation Between the Rate-Distortion Function and Optimal Transport—0
On Calibration of Modern Quantized Efficient Neural Networks—0
Once Quantized for All: Progressively Searching for Quantized Compact Models—0
On-demand Quantization for Green Federated Generative Diffusion in Mobile Edge Networks—0
On Designing Modulation for Over-the-Air Computation -- Part I: Noise-Aware Design—0
On-device AI: Quantization-aware Training of Transformers in Time-Series—0
On-Device Learning with Binary Neural Networks—0
On-Device Qwen2.5: Efficient LLM Inference with Model Compression and Hardware Acceleration—0
On Distributed Quantization for Classification—0
One-Bit-Aided Modulo Sampling for DOA Estimation—0
One-Bit Channel Estimation for IRS-aided Millimeter-Wave Massive MU-MISO System—0
One-Bit Direct Position Determination of Narrowband Gaussian Signals—0
One-bit LFMCW Radar: Spectrum Analysis and Target Detection—0
One-Bit MIMO Detection: From Global Maximum-Likelihood Detector to Amplitude Retrieval Approach—0
One-Bit OFDM Receivers via Deep Learning—0
One-Bit Quantization and Sparsification for Multiclass Linear Classification with Strong Regularization—0
One-Bit Sigma-Delta DFRC Waveform Design: Using Quantization Noise for Radar Probing—0
One-Bit Sigma-Delta modulation on the circle—0
One-Bit Target Detection in Collocated MIMO Radar and Performance Degradation Analysis—0
On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks—0
On Efficient Constructions of Checkpoints—0
One-Index Vector Quantization Based Adversarial Attack on Image Classification—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