Prediction
2개 벤치마크 · 논문 8,760편 · 이 태스크의 논문 보기 →
Benchmarks
Most implemented
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Variational Graph Auto-Encoders
Deep Interest Network for Click-Through Rate Prediction
Deeper Depth Prediction with Fully Convolutional Residual Networks
Vision Transformers for Dense Prediction
Deep Interest Evolution Network for Click-Through Rate Prediction
Papers
Multi-Strategy Improved Snake Optimizer Accelerated CNN-LSTM-Attention-Adaboost for Trajectory Prediction
To address the limitations of medium- and long-term four-dimensional (4D) trajectory prediction models, this paper proposes a hybrid CNN-LSTM-attention-adaboost neural network model incorporating a multi-strategy improve…
PredictionTrajectory PredictionGenerative Click-through Rate Prediction with Applications to Search Advertising
Click-Through Rate (CTR) prediction models are integral to a myriad of industrial settings, such as personalized search advertising. Current methods typically involve feature extraction from users' historical behavior se…
Click-Through Rate PredictionPredictionConformation-Aware Structure Prediction of Antigen-Recognizing Immune Proteins
We introduce Ibex, a pan-immunoglobulin structure prediction model that achieves state-of-the-art accuracy in modeling the variable domains of antibodies, nanobodies, and T-cell receptors. Unlike previous approaches, Ibe…
PredictionProtein Structure PredictionFoundation models for time series forecasting: Application in conformal prediction
The zero-shot capabilities of foundation models (FMs) for time series forecasting offer promising potentials in conformal prediction, as most of the available data can be allocated to calibration. This study compares the…
Conformal PredictionPredictionPrediction IntervalsTime Series+1Predicting Graph Structure via Adapted Flux Balance Analysis
Many dynamic processes such as telecommunication and transport networks can be described through discrete time series of graphs. Modelling the dynamics of such time series enables prediction of graph structure at future …
PredictionTime SeriesTime Series PredictionSpeech Quality Assessment Model Based on Mixture of Experts: System-Level Performance Enhancement and Utterance-Level Challenge Analysis
Automatic speech quality assessment plays a crucial role in the development of speech synthesis systems, but existing models exhibit significant performance variations across different granularity levels of prediction ta…
Data AugmentationMixture-of-ExpertsPredictionSelf-Supervised Learning+5