SOTAVerified

Parameter Prediction

Papers

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Showing 1–50 of 51 papers

TitleStatusHype
TaskBench: Benchmarking Large Language Models for Task AutomationCode6
Synthesis of discrete-continuous quantum circuits with multimodal diffusion modelsCode2
Controlling Geometric Abstraction and Texture for Artistic ImagesCode1
Estimating relative diffusion from 3D micro-CT images using CNNsCode1
OmniESI: A unified framework for enzyme-substrate interaction prediction with progressive conditional deep learningCode1
Machine Learning Models for Soil Parameter Prediction Based on Satellite, Weather, Clay and Yield DataCode1
WISE: Whitebox Image Stylization by Example-based LearningCode1
Decision Trees for Decision-Making under the Predict-then-Optimize FrameworkCode1
BCDDM: Branch-Corrected Denoising Diffusion Model for Black Hole Image Generation—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
Deep-BrownConrady: Prediction of Camera Calibration and Distortion Parameters Using Deep Learning and Synthetic Data—0
EMPHASIS: An Emotional Phoneme-based Acoustic Model for Speech Synthesis System—0
Enhancing Deep Neural Network Training Efficiency and Performance through Linear Prediction—0
Accelerating Learned Video Compression via Low-Resolution Representation Learning—0
GHN-Q: Parameter Prediction for Unseen Quantized Convolutional Architectures via Graph Hypernetworks—0
Global Feature Aggregation for Accident Anticipation—0
Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm—0
MER-SDN: Machine Learning Framework for Traffic Aware Energy Efficient Routing in SDN—0
Learning System Parameters from Turing Patterns—0
Evaluating and predicting the Efficiency Index for Stereotactic Radiosurgery Plans using RapidMiner GO(JAVA) Based Artificial Intelligence Algorithms—0
Adam assisted Fully informed Particle Swarm Optimzation ( Adam-FIPSO ) based Parameter Prediction for the Quantum Approximate Optimization Algorithm (QAOA)—0
A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning—0
A Learning-Based Framework for Two-Dimensional Vehicle Maneuver Prediction over V2V Networks—0
A multivariate water quality parameter prediction model using recurrent neural network—0
An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction—0
Artificial Intelligence in Reactor Physics: Current Status and Future Prospects—0
A Structured Approach to Predicting Image Enhancement Parameters—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
Towards deep learning-powered IVF: A large public benchmark for morphokinetic parameter prediction—0
Towards Precision in Bolted Joint Design: A Preliminary Machine Learning-Based Parameter Prediction—0
Visual Reference Resolution using Attention Memory for Visual Dialog—0
DyPP: Dynamic Parameter Prediction to Accelerate Convergence of Variational Quantum Algorithms—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
Minimally Supervised Learning using Topological Projections in Self-Organizing Maps—0
Novel View Acoustic Parameter Estimation—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
Parameter Prediction for Unseen Deep Architectures—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
Locate n' Rotate: Two-stage Openable Part Detection with Foundation Model PriorsCode0
Diet Networks: Thin Parameters for Fat GenomicsCode0
Deep learning and whole-brain networks for biomarker discovery: modeling the dynamics of brain fluctuations in resting-state and cognitive tasksCode0
Learning an Explicit Hyperparameter Prediction Function Conditioned on TasksCode0
Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target ImputationCode0
ParamNet: A Dynamic Parameter Network for Fast Multi-to-One Stain NormalizationCode0
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Benchmark Results

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