SOTAVerified

Efficient Neural Network

Papers

Showing 2650 of 224 papers

TitleStatusHype
The Effectiveness of a Simplified Model Structure for Crowd CountingCode1
A Convergent ADMM Framework for Efficient Neural Network TrainingCode1
GenNet framework: interpretable deep learning for predicting phenotypes from genetic dataCode1
Ground-aware Monocular 3D Object Detection for Autonomous DrivingCode1
CEN-HDR: Computationally Efficient neural Network for real-time High Dynamic Range imagingCode1
Efficient and Accurate Conversion of Spiking Neural Network with Burst SpikesCode1
Image Generation for Efficient Neural Network Training in Autonomous Drone RacingCode1
An Accurate and Efficient Neural Network for OCTA Vessel Segmentation and a New DatasetCode1
Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network InferenceCode1
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network PruningCode1
ChamNet: Towards Efficient Network Design through Platform-Aware Model AdaptationCode1
Compute and memory efficient universal sound source separationCode1
Efficient Neural Network Approximation of Robust PCA for Automated Analysis of Calcium Imaging DataCode1
LowDINO -- A Low Parameter Self Supervised Learning ModelCode1
Efficient Neural Network Deployment for MicrocontrollerCode1
Practical Deep Raw Image Denoising on Mobile DevicesCode1
Efficient Neural Network Robustness Certification with General Activation FunctionsCode1
A Three-regime Model of Network PruningCode1
Trainable Weight Averaging: A General Approach for Subspace TrainingCode1
ElectroCardioGuard: Preventing Patient Misidentification in Electrocardiogram Databases through Neural NetworksCode1
Deep learning observables in computational fluid dynamicsCode1
Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and CompressionCode1
Harmonic Loss Trains Interpretable AI ModelsCode0
Efficient Neural Network CompressionCode0
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of ThingsCode0
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