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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1901–1950 of 4925 papers

TitleStatusHype
Image Compression using only Attention based Neural Networks—0
Robustness and Approximation of Discrete-time Mean-field Games under Discounted Cost Criterion—0
RoomDesigner: Encoding Anchor-latents for Style-consistent and Shape-compatible Indoor Scene GenerationCode1
One-Shot Sensitivity-Aware Mixed Sparsity Pruning for Large Language ModelsCode0
LL-VQ-VAE: Learnable Lattice Vector-Quantization For Efficient Representations—0
QUIK: Towards End-to-End 4-Bit Inference on Generative Large Language ModelsCode1
Enhancing Text-based Knowledge Graph Completion with Zero-Shot Large Language Models: A Focus on Semantic EnhancementCode1
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language ModelsCode1
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language ModelsCode2
A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification—0
Adaptive Quantization for Key Generation in Low-Power Wide-Area Networks—0
Cost-Driven Hardware-Software Co-Optimization of Machine Learning Pipelines—0
QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources—0
CacheGen: KV Cache Compression and Streaming for Fast Large Language Model ServingCode5
Sparse Fine-tuning for Inference Acceleration of Large Language ModelsCode1
Distillation Improves Visual Place Recognition for Low Quality ImagesCode0
Efficient-VQGAN: Towards High-Resolution Image Generation with Efficient Vision Transformers—0
Vector Quantized Multi-modal Guidance for Alzheimer’s Disease Diagnosis Based on Feature ImputationCode0
Dual Grained Quantization: Efficient Fine-Grained Quantization for LLM—0
Sub-token ViT Embedding via Stochastic Resonance TransformersCode0
VaSAB: The variable size adaptive information bottleneck for disentanglement on speech and singing voice—0
Learning A Disentangling Representation For PU Learning—0
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion ModelsCode1
Hadamard Domain Training with Integers for Class Incremental Quantized Learning—0
Robustness-Guided Image Synthesis for Data-Free Quantization—0
QuATON: Quantization Aware Training of Optical Neurons—0
Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own—0
Soft Convex Quantization: Revisiting Vector Quantization with Convex Optimization—0
Mixture of Quantized Experts (MoQE): Complementary Effect of Low-bit Quantization and Robustness—0
Discrete, compositional, and symbolic representations through attractor dynamicsCode0
Generating 3D Brain Tumor Regions in MRI using Vector-Quantization Generative Adversarial Networks—0
Compressing LLMs: The Truth is Rarely Pure and Never SimpleCode1
MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device—0
DiskANN++: Efficient Page-based Search over Isomorphic Mapped Graph Index using Query-sensitivity Entry Vertex—0
Quantization of Deep Neural Networks to facilitate self-correction of weights on Phase Change Memory-based analog hardware—0
One-Bit Channel Estimation for IRS-aided Millimeter-Wave Massive MU-MISO System—0
Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMsCode1
Revolutionizing Mobile Interaction: Enabling a 3 Billion Parameter GPT LLM on Mobile—0
QDFormer: Towards Robust Audiovisual Segmentation in Complex Environments with Quantization-based Semantic DecompositionCode1
Revisiting Cephalometric Landmark Detection from the view of Human Pose Estimation with Lightweight Super-Resolution HeadCode1
On Uniform Scalar Quantization for Learned Image Compression—0
Diffusion Models as Stochastic Quantization in Lattice Field TheoryCode0
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural RepresentationsCode1
Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings—0
PB-LLM: Partially Binarized Large Language ModelsCode1
MixQuant: Mixed Precision Quantization with a Bit-width Optimization Search—0
Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities—0
ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular QuantizersCode2
Transformer-VQ: Linear-Time Transformers via Vector QuantizationCode2
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language ModelsCode0
Show:102550
← PrevPage 39 of 99Next →
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