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 201–250 of 4925 papers

TitleStatusHype
Torch2Chip: An End-to-end Customizable Deep Neural Network Compression and Deployment Toolkit for Prototype Hardware Accelerator DesignCode2
Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive SurveyCode2
An empirical study of LLaMA3 quantization: from LLMs to MLLMsCode2
decoupleQ: Towards 2-bit Post-Training Uniform Quantization via decoupling Parameters into Integer and Floating PointsCode2
MAexp: A Generic Platform for RL-based Multi-Agent ExplorationCode2
AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information RetrievalCode2
AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-ResolutionCode2
Efficient Multi-Vector Dense Retrieval Using Bit VectorsCode2
Transformer based Pluralistic Image Completion with Reduced Information LossCode2
Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block QuantizationCode2
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise ClassificationCode2
GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLMCode2
QAQ: Quality Adaptive Quantization for LLM KV CacheCode2
ShortGPT: Layers in Large Language Models are More Redundant Than You ExpectCode2
Evaluating Quantized Large Language ModelsCode2
Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean SpeechCode2
Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMsCode2
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsCode2
QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inferenceCode2
Accurate LoRA-Finetuning Quantization of LLMs via Information RetentionCode2
QuEST: Low-bit Diffusion Model Quantization via Efficient Selective FinetuningCode2
LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object DetectionCode2
Residual Quantization with Implicit Neural CodebooksCode2
LeanVec: Searching vectors faster by making them fitCode2
TinySAM: Pushing the Envelope for Efficient Segment Anything ModelCode2
StyleSinger: Style Transfer for Out-of-Domain Singing Voice SynthesisCode2
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative TasksCode2
CompGS: Smaller and Faster Gaussian Splatting with Vector QuantizationCode2
LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPSCode2
Compact 3D Gaussian Representation for Radiance FieldCode2
Stella Nera: Achieving 161 TOp/s/W with Multiplier-free DNN Acceleration based on Approximate Matrix MultiplicationCode2
Adapting Large Language Models by Integrating Collaborative Semantics for RecommendationCode2
Efficient LLM Inference on CPUsCode2
Atom: Low-bit Quantization for Efficient and Accurate LLM ServingCode2
LLM-FP4: 4-Bit Floating-Point Quantized TransformersCode2
BitNet: Scaling 1-bit Transformers for Large Language ModelsCode2
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language ModelsCode2
ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular QuantizersCode2
Transformer-VQ: Linear-Time Transformers via Vector QuantizationCode2
EPTQ: Enhanced Post-Training Quantization via Hessian-guided Network-wise OptimizationCode2
SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language ModelsCode2
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language ModelsCode2
Dataset QuantizationCode2
QuIP: 2-Bit Quantization of Large Language Models With GuaranteesCode2
SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight CompressionCode2
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised TrainingCode2
EMP-SSL: Towards Self-Supervised Learning in One Training EpochCode2
Similarity search in the blink of an eye with compressed indicesCode2
Binarized Neural Machine TranslationCode2
Q-Diffusion: Quantizing Diffusion ModelsCode2
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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