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Papers

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Showing 5151–5200 of 8759 papers

TitleStatusHype
Stable Prediction with Model Misspecification and Agnostic Distribution Shift—0
Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values—0
Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction—0
Stacked transfer learning for tropical cyclone intensity prediction—0
Stack Index Prediction Using Time-Series Analysis—0
Stage-Wise and Prior-Aware Neural Speech Phase Prediction—0
Stanford MLab at SemEval-2021 Task 1: Tree-Based Modelling of Lexical Complexity using Word Embeddings—0
Star+: A New Multi-Domain Model for CTR Prediction—0
STA-Risk: A Deep Dive of Spatio-Temporal Asymmetries for Breast Cancer Risk Prediction—0
STAR: Stepwise Task Augmentation and Relation Learning for Aspect Sentiment Quad Prediction—0
State-of-the-Art in Human Scanpath Prediction—0
State-space Decomposition Model for Video Prediction Considering Long-term Motion Trend—0
Static and multivariate-temporal attentive fusion transformer for readmission risk prediction—0
Statistical and Machine Learning Models for Predicting Fire and Other Emergency Events—0
Statistical Guarantees for Link Prediction using Graph Neural Networks—0
Statistical Guarantees in Data-Driven Nonlinear Control: Conformal Robustness for Stability and Safety—0
Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation—0
Correctness Coverage Evaluation for Medical Multiple-Choice Question Answering Based on the Enhanced Conformal Prediction Framework—0
Statistical Inference under Performativity—0
STAU: A SpatioTemporal-Aware Unit for Video Prediction and Beyond—0
S-T CRF: Spatial-Temporal Conditional Random Field for Human Trajectory Prediction—0
STDA-Meta: A Meta-Learning Framework for Few-Shot Traffic Prediction—0
STDI-Net: Spatial-Temporal Network with Dynamic Interval Mapping for Bike Sharing Demand Prediction—0
Stecformer: Spatio-temporal Encoding Cascaded Transformer for Multivariate Long-term Time Series Forecasting—0
STEC: See-Through Transformer-based Encoder for CTR Prediction—0
STEI-PCN: an efficient pure convolutional network for traffic prediction via spatial-temporal encoding and inferring—0
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization—0
STELLA: Towards Protein Function Prediction with Multimodal LLMs Integrating Sequence-Structure Representations—0
ST-ExpertNet: A Deep Expert Framework for Traffic Prediction—0
STFM: A Spatio-Temporal Information Fusion Model Based on Phase Space Reconstruction for Sea Surface Temperature Prediction—0
STGC-GNNs: A GNN-based traffic prediction framework with a spatial-temporal Granger causality graph—0
Stimulus Verification Is a Universal and Effective Sampler in Multi-Modal Human Trajectory Prediction—0
ST-MambaSync: The Complement of Mamba and Transformers for Spatial-Temporal in Traffic Flow Prediction—0
STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network—0
Stochastic Action Prediction for Imitation Learning—0
Stochastically Dominant Peer Prediction—0
Stochastic Future Prediction in Real World Driving Scenarios—0
Stochastic Online Conformal Prediction with Semi-Bandit Feedback—0
Stochastic Scene-Aware Motion Prediction—0
Stochastic Trajectory Prediction under Unstructured Constraints—0
Stochastic trajectory prediction with social graph network—0
Stochastic Video Prediction with Structure and Motion—0
Stock2Vec: An Embedding to Improve Predictive Models for Companies—0
Stock and market index prediction using Informer network—0
Stock Embeddings Acquired from News Articles and Price History, and an Application to Portfolio Optimization—0
Stock Market Directional Bias Prediction Using ML Algorithms—0
Stock Market Prediction via Deep Learning Techniques: A Survey—0
Stock Movement Prediction Based on Bi-typed and Hybrid-relational Market Knowledge Graph via Dual Attention Networks—0
Stock-out Prediction in Multi-echelon Networks—0
Stock price direction prediction by directly using prices data: an empirical study on the KOSPI and HSI—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