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

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Showing 351–400 of 4925 papers

TitleStatusHype
Robust Machine Unlearning for Quantized Neural Networks via Adaptive Gradient Reweighting with Similar Labels—0
Quantization-Free Autoregressive Action TransformerCode0
MAG: Multi-Modal Aligned Autoregressive Co-Speech Gesture Generation without Vector Quantization—0
CompMarkGS: Robust Watermarking for Compressed 3D Gaussian Splatting—0
ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning—0
ML-SpecQD: Multi-Level Speculative Decoding with Quantized Drafts—0
Versatile Physics-based Character Control with Hybrid Latent Representation—0
ACT360: An Efficient 360-Degree Action Detection and Summarization Framework for Mission-Critical Training and Debriefing—0
Stabilizing Quantization-Aware Training by Implicit-Regularization on Hessian Matrix—0
Understanding Flatness in Generative Models: Its Role and Benefits—0
Pathology Image Compression with Pre-trained Autoencoders—0
OuroMamba: A Data-Free Quantization Framework for Vision Mamba Models—0
Automated Tomato Maturity Estimation Using an Optimized Residual Model with Pruning and Quantization Techniques—0
Dual Codebook VQ: Enhanced Image Reconstruction with Reduced Codebook Size—0
Global synchronization of multi-agent systems with nonlinear interactions—0
Quantization for OpenAI's Whisper Models: A Comparative AnalysisCode0
ViM-VQ: Efficient Post-Training Vector Quantization for Visual Mamba—0
Sometimes Painful but Certainly Promising: Feasibility and Trade-offs of Language Model Inference at the Edge—0
Quantitative Analysis of Deeply Quantized Tiny Neural Networks Robust to Adversarial Attacks—0
Accurate INT8 Training Through Dynamic Block-Level Fallback—0
PCGS: Progressive Compression of 3D Gaussian SplattingCode1
Quantization Design for Deep Learning-Based CSI Feedback—0
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative ModelsCode0
VocalEyes: Enhancing Environmental Perception for the Visually Impaired through Vision-Language Models and Distance-Aware Object Detection—0
Non-vacuous Generalization Bounds for Deep Neural Networks without any modification to the trained models—0
Post-Training Quantization for Diffusion Transformer via Hierarchical Timestep Grouping—0
Breaking the Limits of Quantization-Aware Defenses: QADT-R for Robustness Against Patch-Based Adversarial Attacks in QNNs—0
Task Vector Quantization for Memory-Efficient Model MergingCode0
Synchronized Video-to-Audio Generation via Mel Quantization-Continuum Decomposition—0
Lightweight Multimodal Artificial Intelligence Framework for Maritime Multi-Scene Recognition—0
QuantCache: Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video GenerationCode1
TR-DQ: Time-Rotation Diffusion Quantization—0
PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization—0
Towards Superior Quantization Accuracy: A Layer-sensitive Approach—0
SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model—0
Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study—0
Seeing Delta Parameters as JPEG Images: Data-Free Delta Compression with Discrete Cosine Transform—0
D2GV: Deformable 2D Gaussian Splatting for Video Representation in 400FPSCode2
QArtSR: Quantization via Reverse-Module and Timestep-Retraining in One-Step Diffusion based Image Super-ResolutionCode1
CASP: Compression of Large Multimodal Models Based on Attention SparsityCode0
Frequency Autoregressive Image Generation with Continuous Tokens—0
Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving—0
VQEL: Enabling Self-Developed Symbolic Language in Agents through Vector Quantization in Emergent Language Games—0
LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model CompressionCode0
End-to-End Human Pose Reconstruction from Wearable Sensors for 6G Extended Reality SystemsCode0
Universality of Layer-Level Entropy-Weighted Quantization Beyond Model Architecture and Size—0
Lightweight Embedded FPGA Deployment of Learned Image Compression with Knowledge Distillation and Hybrid Quantization—0
On the Relation Between Speech Quality and Quantized Latent Representations of Neural Codecs—0
English K_Quantization of LLMs Does Not Disproportionately Diminish Multilingual Performance—0
Fast Jet Tagging with MLP-Mixers on FPGAs—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