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Showing 5351–5400 of 8759 papers

TitleStatusHype
TG-PhyNN: An Enhanced Physically-Aware Graph Neural Network framework for forecasting Spatio-Temporal Data—0
TGP: Two-modal occupancy prediction with 3D Gaussian and sparse points for 3D Environment Awareness—0
The 2023/24 VIEWS Prediction Challenge: Predicting the Number of Fatalities in Armed Conflict, with Uncertainty—0
The advantages of multiple classes for reducing overfitting from test set reuse—0
The Adversarial Security Mitigations of mmWave Beamforming Prediction Models using Defensive Distillation and Adversarial Retraining—0
The Algorithmic Automation Problem: Prediction, Triage, and Human Effort—0
The Best of Both Worlds: Combining Model-based and Nonparametric Approaches for 3D Human Body Estimation—0
The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention—0
The Complexity of Sequential Prediction in Dynamical Systems—0
The Components of Collaborative Joint Perception and Prediction -- A Conceptual Framework—0
The Consequences of the Framing of Machine Learning Risk Prediction Models: Evaluation of Sepsis in General Wards—0
The difference between memory and prediction in linear recurrent networks—0
The DipInfoUniTo Realizer at SRST'19: Learning to Rank and Deep Morphology Prediction for Multilingual Surface Realization—0
The Effect of Class Imbalance on Precision-Recall Curves—0
The Effect of Data Types' on the Performance of Machine Learning Algorithms for Financial Prediction—0
The effect of variable labels on deep learning models trained to predict breast density—0
The Effects of Data Split Strategies on the Offline Experiments for CTR Prediction—0
The First Indoor Pathloss Radio Map Prediction Challenge—0
The First Pathloss Radio Map Prediction Challenge—0
The Forget-me-not Process—0
The fundamental nature of the log loss function—0
FOReCAst: The Future Outcome Reasoning and Confidence Assessment Benchmark—0
The gene function prediction challenge: large language models and knowledge graphs to the rescue—0
The Hidden Influence of Latent Feature Magnitude When Learning with Imbalanced Data—0
Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey—0
The Importance of Balanced Data Sets: Analyzing a Vehicle Trajectory Prediction Model based on Neural Networks and Distributed Representations—0
The importance of evaluating the complete automated knowledge-based planning pipeline—0
The impossibility of "fairness": a generalized impossibility result for decisions—0
The Informational Content of the Limit Order Book: An Empirical Study of Prediction Markets—0
The Learning and Prediction of Application-level Traffic Data in Cellular Networks—0
The LICORS Cabinet: Nonparametric Algorithms for Spatio-temporal Prediction—0
The MBPEP: a deep ensemble pruning algorithm providing high quality uncertainty prediction—0
Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs—0
The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning—0
The Number of Confirmed Cases of Covid-19 by using Machine Learning: Methods and Challenges—0
Theoretical Foundations of Conformal Prediction—0
Theory-based Habit Modeling for Enhancing Behavior Prediction—0
The Perils of Learning Before Optimizing—0
The Possibilities and Limitations of Private Prediction Markets—0
The Potential of Quantum Techniques for Stock Price Prediction—0
The Power of Combining Data and Knowledge: GPT-4o is an Effective Interpreter of Machine Learning Models in Predicting Lymph Node Metastasis of Lung Cancer—0
The Prediction Advantage: A Universally Meaningful Performance Measure for Classification and Regression—0
Distribution Free Uncertainty for the Minimum Norm Solution of Over-parameterized Linear Regression—0
Projection to Fairness in Statistical Learning—0
The Random Forest Classifier in WEKA: Discussion and New Developments for Imbalanced Data—0
The Relevance of AWS Chronos: An Evaluation of Standard Methods for Time Series Forecasting with Limited Tuning—0
The Reverse Turing Test for Evaluating Interpretability Methods on Unknown Tasks—0
Thermal Prediction for Efficient Energy Management of Clouds using Machine Learning—0
The Role of Hyperparameters in Predictive Multiplicity—0
The Semantic Adjacency Criterion in Time Intervals Mining—0
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All datasetsQM9Synthetic

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RELATIONFORMEREdit Distance9.15—Unverified
2ANY2GRAPHEdit Distance3.44—Unverified
3FGWBARY-ILE + FDEdit Distance2.84—Unverified
4ANY2GRAPH + FDEdit Distance2.13—Unverified
#ModelMetricClaimedVerifiedStatus
1CW-CNNRMSE1.15—Unverified
2CW-ATRMSE0.03—Unverified