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 401–450 of 4925 papers

TitleStatusHype
Node Identifiers: Compact, Discrete Representations for Efficient Graph LearningCode1
PTQ4DiT: Post-training Quantization for Diffusion TransformersCode1
M^3GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and GenerationCode1
Rate-Adaptive Quantization: A Multi-Rate Codebook Adaptation for Vector Quantization-based Generative ModelsCode1
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token IdentificationCode1
Nearest is Not Dearest: Towards Practical Defense against Quantization-conditioned Backdoor AttacksCode1
Deep Learning-Enabled One-Bit DoA EstimationCode1
Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and PrivacyCode1
Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMsCode1
Vector Quantization for Recommender Systems: A Review and OutlookCode1
Gradient-based Automatic Mixed Precision Quantization for Neural Networks On-ChipCode1
Tripod: Three Complementary Inductive Biases for Disentangled Representation LearningCode1
Adapting LLaMA Decoder to Vision TransformerCode1
End-to-End Rate-Distortion Optimized 3D Gaussian RepresentationCode1
Have You Merged My Model? On The Robustness of Large Language Model IP Protection Methods Against Model MergingCode1
BinaryDM: Accurate Weight Binarization for Efficient Diffusion ModelsCode1
Outlier-Efficient Hopfield Layers for Large Transformer-Based ModelsCode1
BiPer: Binary Neural Networks using a Periodic FunctionCode1
QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMsCode1
Genetic Quantization-Aware Approximation for Non-Linear Operations in TransformersCode1
AffineQuant: Affine Transformation Quantization for Large Language ModelsCode1
MELTing point: Mobile Evaluation of Language TransformersCode1
Self-Supervised Quantization-Aware Knowledge DistillationCode1
Representing Domain-Mixing Optical Degradation for Real-World Computational Aberration Correction via Vector QuantizationCode1
TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic TasksCode1
COMQ: A Backpropagation-Free Algorithm for Post-Training QuantizationCode1
FrameQuant: Flexible Low-Bit Quantization for TransformersCode1
Self-Adapting Large Visual-Language Models to Edge Devices across Visual ModalitiesCode1
LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive QuantizationCode1
"Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel ApproachCode1
NeuraLUT: Hiding Neural Network Density in Boolean Synthesizable FunctionsCode1
Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and DistillationCode1
Understanding and Mitigating the Threat of Vec2Text to Dense Retrieval SystemsCode1
LaCo: Large Language Model Pruning via Layer CollapseCode1
Hierarchical Prior-based Super Resolution for Point Cloud Geometry CompressionCode1
EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the EdgeCode1
PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in ControlCode1
A Thorough Examination of Decoding Methods in the Era of LLMsCode1
Inducing Systematicity in Transformers by Attending to Structurally Quantized EmbeddingsCode1
ApiQ: Finetuning of 2-Bit Quantized Large Language ModelCode1
LQER: Low-Rank Quantization Error Reconstruction for LLMsCode1
Scaling Sparse Fine-Tuning to Large Language ModelsCode1
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image RetrievalCode1
EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion ModelsCode1
Retraining-free Model Quantization via One-Shot Weight-Coupling LearningCode1
MOC-RVQ: Multilevel Codebook-Assisted Digital Generative Semantic CommunicationCode1
JointSQ: Joint Sparsification-Quantization for Distributed LearningCode1
Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity TrainingCode1
Spatial-Aware Regression for Keypoint LocalizationCode1
Boosting Spike Camera Image Reconstruction from a Perspective of Dealing with Spike FluctuationsCode1
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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