Data Science & Analytics

The Real Deal Behind the Artificial Appeal: Inferential Utility of Tabular Synthetic Data UAI 2024 The State of Relation Extraction Data Quality: Is Bigger Always Better? ACL 2024 THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract) AAAI 2024 Threshold-driven Pruning with Segmented Maximum Term Weights for Approximate Cluster-based Sparse Retrieval EMNLP 2024 Thresholds for Reconstruction of Random Hypergraphs From Graph Projections COLT 2024 Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence AAAI 2024 Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting NeurIPS 2024 TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting ICLR 2024 Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis NeurIPS 2024 TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling ICML 2024 TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning AAAI 2024 Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model AISTATS 2024 Time Weaver: A Conditional Time Series Generation Model ICML 2024 TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables NeurIPS 2024 TimeX++: Learning Time-Series Explanations with Information Bottleneck ICML 2024 Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series NeurIPS 2024 Topological Analysis for Detecting Anomalies in dependent sequences: application to Time Series JMLR 2024 Topological data analysis on noisy quantum computers ICLR 2024 Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation NeurIPS 2024 Towards a Greek Proverb Atlas: Computational Spatial Exploration and Attribution of Greek Proverbs EMNLP 2024 Towards a Quantitative Analysis of Coarticulation with a Phoneme-to-Articulatory Model Interspeech 2024 Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings AAAI 2024 Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective AAAI 2024 Towards Editing Time Series NeurIPS 2024 Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering ICML 2024