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 2001–2050 of 4925 papers

TitleStatusHype
Universal Joint Source-Channel Coding for Modulation-Agnostic Semantic Communication—0
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
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
Neural Speech Coding for Real-time Communications using Constant Bitrate Scalar Quantization—0
FDD Massive MIMO: How to Optimally Combine UL Pilot and Limited DL CSI Feedback?—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
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection—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
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
Trio-ViT: Post-Training Quantization and Acceleration for Softmax-Free Efficient Vision TransformerCode0
Compression-based Privacy Preservation for Distributed Nash Equilibrium Seeking in Aggregative Games—0
Quantifying the Capabilities of LLMs across Scale and Precision—0
Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment—0
DeltaKWS: A 65nm 36nJ/Decision Bio-inspired Temporal-Sparsity-Aware Digital Keyword Spotting IC with 0.6V Near-Threshold SRAM—0
Joint Discrete Precoding and RIS Optimization for RIS-Assisted MU-MIMO Communication Systems—0
Efficient Text-driven Motion Generation via Latent Consistency TrainingCode0
Exploring Extreme Quantization in Spiking Language Models—0
Three Quantization Regimes for ReLU Networks—0
Lightweight Change Detection in Heterogeneous Remote Sensing Images with Online All-Integer Pruning Training—0
Network reconstruction via the minimum description length principle—0
Efficient Compression of Multitask Multilingual Speech Models—0
Joint Sequential Fronthaul Quantization and Hardware Complexity Reduction in Uplink Cell-Free Massive MIMO Networks—0
Deep Learning Models in Speech Recognition: Measuring GPU Energy Consumption, Impact of Noise and Model Quantization for Edge DeploymentCode0
Wake Vision: A Tailored Dataset and Benchmark Suite for TinyML Computer Vision Applications—0
When Quantization Affects Confidence of Large Language Models?Code0
Self-supervised Pre-training of Text RecognizersCode0
Investigating Automatic Scoring and Feedback using Large Language Models—0
Transition Rate Scheduling for Quantization-Aware Training—0
Quantized Context Based LIF Neurons for Recurrent Spiking Neural Networks in 45nm—0
Enhancing Channel Estimation in Quantized Systems with a Generative Prior—0
sDAC -- Semantic Digital Analog Converter for Semantic Communications—0
MMGRec: Multimodal Generative Recommendation with Transformer Model—0
How to Parameterize Asymmetric Quantization Ranges for Quantization-Aware Training—0
CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation—0
AdaQAT: Adaptive Bit-Width Quantization-Aware Training—0
CNN-Based Equalization for Communications: Achieving Gigabit Throughput with a Flexible FPGA Hardware Architecture—0
Latency-Distortion Tradeoffs in Communicating Classification Results over Noisy Channels—0
FedMPQ: Secure and Communication-Efficient Federated Learning with Multi-codebook Product Quantization—0
HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression—0
A SER-based Device Selection Mechanism in Multi-bits Quantization Federated Learning—0
EdgeFusion: On-Device Text-to-Image Generation—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