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 601–650 of 4925 papers

TitleStatusHype
BAND-2k: Banding Artifact Noticeable Database for Banding Detection and Quality AssessmentCode1
EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion ModelsCode1
BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA AccelerationCode1
End-to-End Rate-Distortion Optimized 3D Gaussian RepresentationCode1
BED: A Real-Time Object Detection System for Edge DevicesCode1
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANNCode1
Enabling Binary Neural Network Training on the EdgeCode1
End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video CompressionCode1
Federated Optimization Algorithms with Random Reshuffling and Gradient CompressionCode1
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated LearningCode1
FFNeRV: Flow-Guided Frame-Wise Neural Representations for VideosCode1
Benchmarking Quantized Neural Networks on FPGAs with FINNCode1
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural NetworksCode1
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement LearningCode1
Evaluating the Generalization Ability of Quantized LLMs: Benchmark, Analysis, and ToolboxCode1
Fixed-point Quantization of Convolutional Neural Networks for Quantized Inference on Embedded PlatformsCode1
Efficient-VDVAE: Less is moreCode1
Embedding in Recommender Systems: A SurveyCode1
Beyond Learned Metadata-based Raw Image ReconstructionCode1
FOX-NAS: Fast, On-device and Explainable Neural Architecture SearchCode1
BAGUA: Scaling up Distributed Learning with System RelaxationsCode1
Accurate KV Cache Quantization with Outlier Tokens TracingCode1
BitQ: Tailoring Block Floating Point Precision for Improved DNN Efficiency on Resource-Constrained DevicesCode1
Efficient and Robust Quantization-aware Training via Adaptive Coreset SelectionCode1
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN TrainingCode1
FrameQuant: Flexible Low-Bit Quantization for TransformersCode1
ZeroQuant-V2: Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank CompensationCode1
BiPer: Binary Neural Networks using a Periodic FunctionCode1
Efficient Quantized Sparse Matrix Operations on Tensor CoresCode1
Bi3D: Stereo Depth Estimation via Binary ClassificationsCode1
EMQ: Evolving Training-free Proxies for Automated Mixed Precision QuantizationCode1
Evaluation and Optimization of Gradient Compression for Distributed Deep LearningCode1
Generalizable Mixed-Precision Quantization via Attribution Rank PreservationCode1
Generalized Product Quantization Network for Semi-supervised Image RetrievalCode1
Generative De-Quantization for Neural Speech Codec via Latent DiffusionCode1
Exploring Frequency-Inspired Optimization in Transformer for Efficient Single Image Super-ResolutionCode1
EFaR 2023: Efficient Face Recognition CompetitionCode1
EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the EdgeCode1
Effectiveness of self-supervised pre-training for speech recognitionCode1
Edge AI-Based Vein Detector for Efficient Venipuncture in the Antecubital FossaCode1
EasyQuant: Post-training Quantization via Scale OptimizationCode1
DVD-Quant: Data-free Video Diffusion Transformers QuantizationCode1
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution NetworksCode1
BinaryHPE: 3D Human Pose and Shape Estimation via BinarizationCode1
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and QuantizationCode1
DQS3D: Densely-matched Quantization-aware Semi-supervised 3D DetectionCode1
Dynamic Network Quantization for Efficient Video InferenceCode1
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion ModelsCode1
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical StudyCode1
BAFFLE: A Baseline of Backpropagation-Free Federated LearningCode1
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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