Methods

Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation AAAI 2024 Unified Training of Universal Time Series Forecasting Transformers ICML 2024 UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science ICLR 2024 UniTS: A Unified Multi-Task Time Series Model NeurIPS 2024 Unlabeled Principal Component Analysis and Matrix Completion JMLR 2024 Unsupervised Change Point Detection in Multivariate Time Series AISTATS 2024 Unsupervised Feature Selection towards Pattern Discrimination Power UAI 2024 Using Daily Language to Understand Drinking: Multi-Level Longitudinal Differential Language Analysis EACL 2024 Validating and Exploring Large Geographic Corpora COLING 2024 Validating Climate Models with Spherical Convolutional Wasserstein Distance NeurIPS 2024 Validation, Robustness, and Accuracy of Perturbation-Based Sensitivity Analysis Methods for Time-Series Deep Learning Models AAAI 2024 VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting IJCAI 2024 VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates AISTATS 2024 Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment ICML 2024 Verba volant, scripta volant? Don’t worry! There are computational solutions for protoword reconstruction EMNLP 2024 When are dynamical systems learned from time series data statistically accurate? NeurIPS 2024 When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection AAAI 2024 Why the Metric Backbone Preserves Community Structure NeurIPS 2024 WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata NeurIPS 2024 X-posing Free Speech: Examining the Impact of Moderation Relaxation on Online Social Networks NAACL 2024 Zero-shot Event Detection Using a Textual Entailment Model as an Enhanced Annotator COLING 2024 ACCD: An Adaptive Clustering-Based Collusion Detector in Crowdsourcing (Student Abstract) AAAI 2023 A Contrastive Approach to Online Change Point Detection AISTATS 2023 Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective NeurIPS 2023 A Dataset and Baseline Approach for Identifying Usage States from Non-intrusive Power Sensing with MiDAS IoT-Based Sensors AAAI 2023