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 501–550 of 4925 papers

TitleStatusHype
Enhancing Generalization of Universal Adversarial Perturbation through Gradient AggregationCode1
Exploring Frequency-Inspired Optimization in Transformer for Efficient Single Image Super-ResolutionCode1
EFaR 2023: Efficient Face Recognition CompetitionCode1
Anonymizing Speech: Evaluating and Designing Speaker Anonymization TechniquesCode1
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPsCode1
Textless Unit-to-Unit training for Many-to-Many Multilingual Speech-to-Speech TranslationCode1
Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision RedundancyCode1
BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA AccelerationCode1
Lightweight Super-Resolution Head for Human Pose EstimationCode1
EMQ: Evolving Training-free Proxies for Automated Mixed Precision QuantizationCode1
MLP Fusion: Towards Efficient Fine-tuning of Dense and Mixture-of-Experts Language ModelsCode1
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical StudyCode1
INT-FP-QSim: Mixed Precision and Formats For Large Language Models and Vision TransformersCode1
Pruning vs Quantization: Which is Better?Code1
Quantization Variation: A New Perspective on Training Transformers with Low-Bit PrecisionCode1
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do NothingCode1
Beyond Learned Metadata-based Raw Image ReconstructionCode1
HiNeRV: Video Compression with Hierarchical Encoding-based Neural RepresentationCode1
Evaluation and Optimization of Gradient Compression for Distributed Deep LearningCode1
Efficient and Robust Quantization-aware Training via Adaptive Coreset SelectionCode1
NF4 Isn't Information Theoretically Optimal (and that's Good)Code1
MobileNMT: Enabling Translation in 15MB and 30msCode1
OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language ModelsCode1
Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN TrainingCode1
Binary and Ternary Natural Language GenerationCode1
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANNCode1
Towards Accurate Post-training Quantization for Diffusion ModelsCode1
AdANNS: A Framework for Adaptive Semantic SearchCode1
Compression with Bayesian Implicit Neural RepresentationsCode1
Disentanglement via Latent QuantizationCode1
NVTC: Nonlinear Vector Transform CodingCode1
KeyPosS: Plug-and-Play Facial Landmark Detection through GPS-Inspired True-Range MultilaterationCode1
Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image GenerationCode1
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference PipelineCode1
Towards Accurate Image Coding: Improved Autoregressive Image Generation with Dynamic Vector QuantizationCode1
QPGesture: Quantization-Based and Phase-Guided Motion Matching for Natural Speech-Driven Gesture GenerationCode1
PTQD: Accurate Post-Training Quantization for Diffusion ModelsCode1
MBQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network QuantizationCode1
PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel TransformerCode1
Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution NetworksCode1
AQ-GT: a Temporally Aligned and Quantized GRU-Transformer for Co-Speech Gesture SynthesisCode1
DQS3D: Densely-matched Quantization-aware Semi-supervised 3D DetectionCode1
The Bjøntegaard Bible -- Why your Way of Comparing Video Codecs May Be WrongCode1
Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scalingCode1
ViPLO: Vision Transformer based Pose-Conditioned Self-Loop Graph for Human-Object Interaction DetectionCode1
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large InputCode1
Binary Latent DiffusionCode1
SwiftTron: An Efficient Hardware Accelerator for Quantized TransformersCode1
MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy CodingCode1
Real-time 6K Image Rescaling with Rate-distortion OptimizationCode1
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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