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 2001–2025 of 4925 papers

TitleStatusHype
Flattened one-bit stochastic gradient descent: compressed distributed optimization with controlled variance—0
Enhancing Perception Quality in Remote Sensing Image Compression via Invertible Neural Network—0
Universal Joint Source-Channel Coding for Modulation-Agnostic Semantic Communication—0
The Effect of Quantization in Federated Learning: A Rényi Differential Privacy Perspective—0
Properties that allow or prohibit transferability of adversarial attacks among quantized networksCode0
FDD Massive MIMO: How to Optimally Combine UL Pilot and Limited DL CSI Feedback?—0
Neural Speech Coding for Real-time Communications using Constant Bitrate Scalar Quantization—0
Goal-oriented compression for L_p-norm-type goal functions: Application to power consumption scheduling—0
VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling—0
Post Training Quantization of Large Language Models with Microscaling Formats—0
Edge Intelligence Optimization for Large Language Model Inference with Batching and Quantization—0
Compression-Realized Deep Structural Network for Video Quality Enhancement—0
Characterizing the Accuracy -- Efficiency Trade-off of Low-rank Decomposition in Language Models—0
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection—0
SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models—0
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks—0
Custom Gradient Estimators are Straight-Through Estimators in Disguise—0
KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization—0
Quantifying the Capabilities of LLMs across Scale and Precision—0
Compression-based Privacy Preservation for Distributed Nash Equilibrium Seeking in Aggregative Games—0
Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment—0
Trio-ViT: Post-Training Quantization and Acceleration for Softmax-Free Efficient Vision TransformerCode0
DeltaKWS: A 65nm 36nJ/Decision Bio-inspired Temporal-Sparsity-Aware Digital Keyword Spotting IC with 0.6V Near-Threshold SRAM—0
Efficient Text-driven Motion Generation via Latent Consistency TrainingCode0
Joint Discrete Precoding and RIS Optimization for RIS-Assisted MU-MIMO Communication Systems—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