| Predictive Process Monitoring A branch of predictive analysis that attempts to predict som… | 50 | 0 |
| Crime Prediction | 47 | 0 |
| Multiview Learning | 41 | 0 |
| Multi-class Anomaly Detection Multi-class Anomaly Detection is a task that identifies anom… | 39 | 0 |
| Sequential Pattern Mining Sequential Pattern Mining is the process that discovers rele… | 39 | 0 |
| Learning Semantic Representations | 38 | 0 |
| Multivariate Time Series Imputation | 38 | 0 |
| Spatio-Temporal Action Localization | 37 | 0 |
| Univariate Time Series Forecasting | 36 | 0 |
| Weakly-supervised Video Anomaly Detection Weakly-supervised Video Anomaly Detection (WS-VAD) refers to… | 36 | 0 |
| zero-shot anomaly detection | 35 | 0 |
| Capacity Estimation | 33 | 0 |
| Temporal Action Proposal Generation | 32 | 0 |
| Weakly-supervised Anomaly Detection | 32 | 0 |
| Self-Supervised Anomaly Detection Self-Supervision towards anomaly detection | 29 | 0 |
| Multi-label zero-shot learning The goal of multi-label classification task is to predict a … | 27 | 0 |
| Temporal Relation Classification Temporal Relation Classification is the task that is concern… | 27 | 0 |
| Time-to-Event Prediction | 27 | 0 |
| Learning to Execute | 25 | 0 |
| Traffic Data Imputation | 23 | 0 |
| Unsupervised Few-Shot Learning In contrast to supervised few-shot learning, only the unlabe… | 22 | 0 |
| Credit score | 20 | 0 |
| Occlusion Estimation | 19 | 0 |
| Time Series Alignment | 18 | 0 |
| Open-World Semi-Supervised Learning | 17 | 0 |
| Procedure Learning Given a set of videos of the same task, the goal is to ident… | 15 | 0 |
| Production Forecasting | 15 | 0 |
| Temporal Tagging Identification of the extent of a temporal expression (timex… | 15 | 0 |
| Video-based Generative Performance Benchmarking (Temporal Understanding) The benchmark evaluates a generative Video Conversational Mo… | 15 | 0 |
| Student dropout | 14 | 0 |
| Contextual Anomaly Detection The objective of Unsupervised Anomaly Detection is to detect… | 13 | 0 |
| Developmental Learning | 13 | 0 |
| Group Anomaly Detection | 13 | 0 |
| PAIR TRADING Pair trading is one of the most effective statistical arbitr… | 13 | 0 |
| 3D Anomaly Detection and Segmentation 3D-Only Anomaly Detection and Segmentation | 11 | 0 |
| Clustering Multivariate Time Series | 11 | 0 |
| continual few-shot learning | 11 | 0 |
| Video Temporal Consistency A method that remove temporal flickering and other artifacts… | 11 | 0 |
| Correlated Time Series Forecasting | 10 | 0 |
| Learning Network Representations | 10 | 0 |
| Valence Estimation | 10 | 0 |
| Multi-Person Pose forecasting | 9 | 0 |
| Spatio-temporal Action Recognition | 9 | 0 |
| Temporal Forgery Localization | 9 | 0 |
| Automatic Machine Learning Model Selection | 8 | 0 |
| continual anomaly detection | 8 | 0 |
| Dialog Learning | 8 | 0 |
| RGB+3D Anomaly Detection and Segmentation RGB+3D Anomaly Detection and Segmentation | 8 | 0 |
| Time Series Averaging | 8 | 0 |
| Video Forecasting | 8 | 0 |
