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 1751–1800 of 4925 papers

TitleStatusHype
Federated Aggregation of Mallows Rankings: A Comparative Analysis of Borda and Lehmer Coding—0
Enhancing Multi-Stream Beamforming Through CQIs For 5G NR FDD Massive MIMO Communications: A Tuning-Free Scheme—0
Accurate Compression of Text-to-Image Diffusion Models via Vector Quantization—0
VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers—0
Approximately Invertible Neural Network for Learned Image Compression—0
Identifying and Clustering Counter Relationships of Team Compositions in PvP Games for Efficient Balance AnalysisCode0
Blending Low and High-Level Semantics of Time Series for Better Masked Time Series Generation—0
On-device AI: Quantization-aware Training of Transformers in Time-Series—0
GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMsCode0
The Uniqueness of LLaMA3-70B Series with Per-Channel Quantization—0
Adaptive Resolution Inference (ARI): Energy-Efficient Machine Learning for Internet of Things—0
Scalable Multivariate Fronthaul Quantization for Cell-Free Massive MIMO—0
FusionSAM: Latent Space driven Segment Anything Model for Multimodal Fusion and Segmentation—0
On-Device Language Models: A Comprehensive ReviewCode0
Revisiting DNN Training for Intermittently-Powered Energy-Harvesting Micro-Computers—0
Quantized neural network for complex hologram generation—0
Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized ModelsCode0
Variational autoencoder-based neural network model compression—0
Infrared Domain Adaptation with Zero-Shot Quantization—0
A Safe Self-evolution Algorithm for Autonomous Driving Based on Data-Driven Risk Quantification Model—0
Informational Embodiment: Computational role of information structure in codes and robots—0
DeepHQ: Learned Hierarchical Quantizer for Progressive Deep Image Coding—0
Matmul or No Matmal in the Era of 1-bit LLMs—0
Disentangling segmental and prosodic factors to non-native speech comprehensibility—0
Hyperstroke: A Novel High-quality Stroke Representation for Assistive Artistic Drawing—0
Explore Cross-Codec Quality-Rate Convex Hulls Relation for Adaptive Streaming—0
PQV-Mobile: A Combined Pruning and Quantization Toolkit to Optimize Vision Transformers for Mobile ApplicationsCode0
JPEG-LM: LLMs as Image Generators with Canonical Codec Representations—0
Analog Spiking Neuron in CMOS 28 nm Towards Large-Scale Neuromorphic Processors—0
Prompt Tuning as User Inherent Profile Inference Machine—0
Low-Bitwidth Floating Point Quantization for Efficient High-Quality Diffusion Models—0
Line Spectral Estimation with Unlimited Sensing—0
Computability of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility through Quantization—0
RTF-Q: Efficient Unsupervised Domain Adaptation with Retraining-free Quantization—0
Quantum-secure multiparty deep learning—0
Semantic-Enabled 6G Communication: A Task-oriented and Privacy-preserving Perspective—0
FDC: Fast KV Dimensionality Compression for Efficient LLM Inference—0
Inference Optimizations for Large Language Models: Effects, Challenges, and Practical Considerations—0
L3iTC at the FinLLM Challenge Task: Quantization for Financial Text Classification & Summarization—0
Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based RefinementCode0
Synaptic Modulation using Interspike Intervals Increases Energy Efficiency of Spiking Neural Networks—0
Self-Supervised Learning for Multi-Channel Neural Transducer—0
DopQ-ViT: Towards Distribution-Friendly and Outlier-Aware Post-Training Quantization for Vision Transformers—0
HQOD: Harmonious Quantization for Object DetectionCode0
An approach to optimize inference of the DIART speaker diarization pipeline—0
Nonlinear Perturbation-based Non-Convex Optimization over Time-Varying Networks—0
Winning Amazon KDD Cup'24—0
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs—0
HMDN: Hierarchical Multi-Distribution Network for Click-Through Rate Prediction—0
Reclaiming Residual Knowledge: A Novel Paradigm to Low-Bit Quantization—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