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 3001–3050 of 4925 papers

TitleStatusHype
Quantized Sparse Weight Decomposition for Neural Network Compression—0
Convergence Theory of Generalized Distributed Subgradient Method with Random Quantization—0
HiKonv: Maximizing the Throughput of Quantized Convolution With Novel Bit-wise Management and Computation—0
Auto-regressive Image Synthesis with Integrated Quantization—0
Mixed-Precision Inference Quantization: Radically Towards Faster inference speed, Lower Storage requirement, and Lower Loss—0
Context Unaware Knowledge Distillation for Image RetrievalCode0
Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design—0
RepBNN: towards a precise Binary Neural Network with Enhanced Feature Map via RepeatingCode0
Latent-Domain Predictive Neural Speech Coding—0
FewGAN: Generating from the Joint Distribution of a Few Images—0
Quantized Consensus under Data-Rate Constraints and DoS Attacks: A Zooming-In and Holding Approach—0
Accelerating Deep Learning Model Inference on Arm CPUs with Ultra-Low Bit Quantization and Runtime—0
Is Integer Arithmetic Enough for Deep Learning Training?—0
Optimal Database Allocation in Finite Time with Efficient Communication and Transmission Stopping over Dynamic Networks—0
S4: a High-sparsity, High-performance AI Accelerator—0
Low-bit Shift Network for End-to-End Spoken Language Understanding—0
Semi-supervised Vector-Quantization in Visual SLAM using HGCN—0
T-RECX: Tiny-Resource Efficient Convolutional neural networks with early-eXit—0
DiverGet: A Search-Based Software Testing Approach for Deep Neural Network Quantization Assessment—0
Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration—0
Learning Representations for CSI Adaptive Quantization and Feedback—0
Lipschitz Continuity Retained Binary Neural NetworkCode0
Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression—0
Sub 8-Bit Quantization of Streaming Keyword Spotting Models for Embedded Chipsets—0
Sparsifying Binary Networks—0
CEG4N: Counter-Example Guided Neural Network Quantization Refinement—0
Attention Round for Post-Training Quantization—0
Cross-Scale Vector Quantization for Scalable Neural Speech Coding—0
BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation—0
Quantum Neural Network Compression—0
Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI—0
QUIDAM: A Framework for Quantization-Aware DNN Accelerator and Model Co-Exploration—0
Compressing Pre-trained Transformers via Low-Bit NxM Sparsity for Natural Language Understanding—0
Sub-8-Bit Quantization Aware Training for 8-Bit Neural Network Accelerator with On-Device Speech Recognition—0
Supervised Deep Hashing for High-dimensional and Heterogeneous Case-based Reasoning—0
Multi-user Downlink Beamforming using Uplink Downlink Duality with 1-bit Converters for Flat Fading Channels—0
Fundamental Limits of Communication Efficiency for Model Aggregation in Distributed Learning: A Rate-Distortion Approach—0
QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient design—0
CTMQ: Cyclic Training of Convolutional Neural Networks with Multiple Quantization Steps—0
Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime—0
Inverted Semantic-Index for Image Retrieval—0
Computational Complexity Evaluation of Neural Network Applications in Signal Processing—0
Megapixel Image Generation with Step-Unrolled Denoising AutoencodersCode0
QReg: On Regularization Effects of Quantization—0
Open-source FPGA-ML codesign for the MLPerf Tiny BenchmarkCode0
A Federated Reinforcement Learning Method with Quantization for Cooperative Edge Caching in Fog Radio Access Networks—0
Proximity Graph Maintenance for Fast Online Nearest Neighbor Search—0
Automated Cancer Subtyping via Vector Quantization Mutual Information MaximizationCode0
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices—0
sqSGD: Locally Private and Communication Efficient Federated Learning—0
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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