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 1201–1250 of 4925 papers

TitleStatusHype
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative ModelsCode0
Lightweight Multimodal Artificial Intelligence Framework for Maritime Multi-Scene Recognition—0
Synchronized Video-to-Audio Generation via Mel Quantization-Continuum Decomposition—0
Breaking the Limits of Quantization-Aware Defenses: QADT-R for Robustness Against Patch-Based Adversarial Attacks in QNNs—0
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
Task Vector Quantization for Memory-Efficient Model MergingCode0
Post-Training Quantization for Diffusion Transformer via Hierarchical Timestep Grouping—0
Seeing Delta Parameters as JPEG Images: Data-Free Delta Compression with Discrete Cosine Transform—0
TR-DQ: Time-Rotation Diffusion Quantization—0
Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study—0
SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model—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
Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving—0
Frequency Autoregressive Image Generation with Continuous Tokens—0
CASP: Compression of Large Multimodal Models Based on Attention SparsityCode0
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
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
AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model—0
English K_Quantization of LLMs Does Not Disproportionately Diminish Multilingual Performance—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
Fast Jet Tagging with MLP-Mixers on FPGAs—0
Q&C: When Quantization Meets Cache in Efficient Image GenerationCode0
Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations—0
BdSLW401: Transformer-Based Word-Level Bangla Sign Language Recognition Using Relative Quantization Encoding (RQE)—0
Regularization-based Framework for Quantization-, Fault- and Variability-Aware Training—0
KurTail : Kurtosis-based LLM Quantization—0
Cauchy-Schwarz RegularizersCode0
Towards Improved Text-Aligned Codebook Learning: Multi-Hierarchical Codebook-Text Alignment with Long Text—0
DILEMMA: Joint LLM Quantization and Distributed LLM Inference Over Edge Computing Systems—0
DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models—0
Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language ModelCode0
MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations—0
Strong Solutions and Quantization-Based Numerical Schemes for a Class of Non-Markovian Volatility Models—0
Transformer-Based Nonlinear Transform Coding for Multi-Rate CSI Compression in MIMO-OFDM Systems—0
HALO: Hardware-aware quantization with low critical-path-delay weights for LLM acceleration—0
Beyond the Tip of Efficiency: Uncovering the Submerged Threats of Jailbreak Attacks in Small Language Models—0
Speculative Decoding and Beyond: An In-Depth Review of Techniques—0
On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels—0
Compressing Language Models for Specialized Domains—0
Memory-Free and Parallel Computation for Quantized Spiking Neural Networks—0
Task-Driven Semantic Quantization and Imitation Learning for Goal-Oriented Communications—0
Unbiased and Sign Compression in Distributed Learning: Comparing Noise Resilience via SDEs—0
Compression Scaling Laws:Unifying Sparsity and Quantization—0
Energy-Efficient Transformer Inference: Optimization Strategies for Time Series Classification—0
Dr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Registration—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