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
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
Estimating relative diffusion from 3D micro-CT images using CNNsCode1
Controlling Geometric Abstraction and Texture for Artistic ImagesCode1
Decision Trees for Decision-Making under the Predict-then-Optimize FrameworkCode1
WISE: Whitebox Image Stylization by Example-based LearningCode1
Image Question Answering using Convolutional Neural Network with Dynamic Parameter PredictionCode0
Deep learning and whole-brain networks for biomarker discovery: modeling the dynamics of brain fluctuations in resting-state and cognitive tasksCode0
Diet Networks: Thin Parameters for Fat GenomicsCode0
Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target ImputationCode0
Learning an Explicit Hyperparameter Prediction Function Conditioned on TasksCode0
Locate n' Rotate: Two-stage Openable Part Detection with Foundation Model PriorsCode0
Parameter Prediction for Unseen Deep ArchitecturesCode0
ParamNet: A Dynamic Parameter Network for Fast Multi-to-One Stain NormalizationCode0
EMPHASIS: An Emotional Phoneme-based Acoustic Model for Speech Synthesis System—0
Enhancing Deep Neural Network Training Efficiency and Performance through Linear Prediction—0
Artificial Intelligence in Reactor Physics: Current Status and Future Prospects—0
Evaluating and predicting the Efficiency Index for Stereotactic Radiosurgery Plans using RapidMiner GO(JAVA) Based Artificial Intelligence Algorithms—0
Towards deep learning-powered IVF: A large public benchmark for morphokinetic parameter prediction—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
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