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Papers

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Showing 2651–2700 of 8760 papers

TitleStatusHype
An Integrated Recommender Algorithm for Rating Prediction—0
Efficient and Invariant Convolutional Neural Networks for Dense Prediction—0
Cascading Failure Prediction via Causal Inference—0
Ensemble quantile-based deep learning framework for streamflow and flood prediction in Australian catchments—0
Multi-View Graph Neural Networks for Molecular Property Prediction—0
A Comprehensive Review on RNA Subcellular Localization Prediction—0
Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning—0
Efficient Conformal Prediction under Data Heterogeneity—0
Efficient Continuous Video Flow Model for Video Prediction—0
Efficient differentially private learning improves drug sensitivity prediction—0
CASPNet++: Joint Multi-Agent Motion Prediction—0
Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction—0
Dual Learning Algorithm for Delayed Conversions—0
Efficient Joint Prediction of Multiple Future Tokens—0
CAST: Cross Attention based multimodal fusion of Structure and Text for materials property prediction—0
A note on the error analysis of data-driven closure models for large eddy simulations of turbulence—0
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image—0
An Information Theoretic Perspective on Conformal Prediction—0
Efficient Minimax Strategies for Square Loss Games—0
Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling—0
Evaluations and Methods for Explanation through Robustness Analysis—0
Efficient multiple hyperparameter learning for log-linear models—0
Efficient Multi-Template Learning for Structured Prediction—0
Efficient Neural Architecture Search with Performance Prediction—0
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests—0
Efficient Online Bootstrapping for Large Scale Learning—0
Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction—0
Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method—0
Dual Graph enhanced Embedding Neural Network for CTR Prediction—0
Dual Domain-Adversarial Learning for Audio-Visual Saliency Prediction—0
A Novel Benchmarking Paradigm and a Scale- and Motion-Aware Model for Egocentric Pedestrian Trajectory Prediction—0
Evaluating Splitting Approaches in the Context of Student Dropout Prediction—0
Efficient Traffic State Forecasting using Spatio-Temporal Network Dependencies: A Sparse Graph Neural Network Approach—0
Efficient training for future video generation based on hierarchical disentangled representation of latent variables—0
An Information Diffusion Approach to Rumor Propagation and Identification on Twitter—0
EfficientViT: Lightweight Multi-Scale Attention for High-Resolution Dense Prediction—0
Evaluating the Performance of a D-Wave Quantum Annealing System for Feature Subset Selection in Software Defect Prediction—0
DTMamba : Dual Twin Mamba for Time Series Forecasting—0
Egocentric Prediction of Action Target in 3D—0
EgoNav: Egocentric Scene-aware Human Trajectory Prediction—0
An In-Depth Examination of Risk Assessment in Multi-Class Classification Algorithms—0
EgoExo-Gen: Ego-centric Video Prediction by Watching Exo-centric Videos—0
DT-JRD: Deep Transformer based Just Recognizable Difference Prediction Model for Video Coding for Machines—0
EICA Team at SemEval-2018 Task 2: Semantic and Metadata-based Features for Multilingual Emoji Prediction—0
DST-TransitNet: A Dynamic Spatio-Temporal Deep Learning Model for Scalable and Efficient Network-Wide Prediction of Station-Level Transit Ridership—0
CAIFormer: A Causal Informed Transformer for Multivariate Time Series Forecasting—0
Electricity Consumption Prediction using Neural Network—0
Electricity Price Prediction for Energy Storage System Arbitrage: A Decision-focused Approach—0
Electricity Price Prediction Using Multi-Kernel Gaussian Process Regression Combined with Kernel-Based Support Vector Regression—0
Advancing Financial Risk Prediction Through Optimized LSTM Model Performance and Comparative Analysis—0
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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