SOTAVerified

Parameter Prediction

Papers

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Showing 26–50 of 51 papers

TitleStatusHype
Accelerating Learned Video Compression via Low-Resolution Representation Learning—0
Towards Precision in Bolted Joint Design: A Preliminary Machine Learning-Based Parameter Prediction—0
Learning System Parameters from Turing Patterns—0
Visual Reference Resolution using Attention Memory for Visual Dialog—0
Longitudinal data analysis using generalized linear models—0
Machine Learning-Enabled Multidimensional Data Utilization Through Multi-Resonance Architecture: A Pathway to Enhanced Accuracy in Biosensing—0
An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction—0
Minimally Supervised Learning using Topological Projections in Self-Organizing Maps—0
Novel View Acoustic Parameter Estimation—0
A multivariate water quality parameter prediction model using recurrent neural network—0
Optimal Kernel Tuning Parameter Prediction using Deep Sequence Models—0
Optimal Operation of a Hydrogen-based Building Multi-Energy System Based on Deep Reinforcement Learning—0
DyPP: Dynamic Parameter Prediction to Accelerate Convergence of Variational Quantum Algorithms—0
Adam assisted Fully informed Particle Swarm Optimzation ( Adam-FIPSO ) based Parameter Prediction for the Quantum Approximate Optimization Algorithm (QAOA)—0
PreF3R: Pose-Free Feed-Forward 3D Gaussian Splatting from Variable-length Image Sequence—0
Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification—0
QPP: Real-Time Quantization Parameter Prediction for Deep Neural Networks—0
Quality-Constant Per-Shot Encoding by Two-Pass Learning-based Rate Factor Prediction—0
Stellar parameter prediction and spectral simulation using machine learning—0
Brain-Inspired Spike Echo State Network Dynamics for Aero-Engine Intelligent Fault Prediction—0
Breaking the Architecture Barrier: A Method for Efficient Knowledge Transfer Across Networks—0
BCDDM: Branch-Corrected Denoising Diffusion Model for Black Hole Image Generation—0
A Structured Approach to Predicting Image Enhancement Parameters—0
Deep-BrownConrady: Prediction of Camera Calibration and Distortion Parameters Using Deep Learning and Synthetic Data—0
A Learning-Based Framework for Two-Dimensional Vehicle Maneuver Prediction over V2V Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GHN-2Classification Accuracy (BN-free)36.8—Unverified