Methods

Optimistic Search: Change Point Estimation for Large-scale Data via Adaptive Logarithmic Queries JMLR 2024 Order Effects in Annotation Tasks: Further Evidence of Annotation Sensitivity EACL 2024 Outlier Ranking for Large-Scale Public Health Data AAAI 2024 Out-of-Domain Generalization in Dynamical Systems Reconstruction ICML 2024 Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting NeurIPS 2024 Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis NeurIPS 2024 Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models NeurIPS 2024 PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting NeurIPS 2024 PILOT: Legal Case Outcome Prediction with Case Law NAACL 2024 Polish Round Table Corpus COLING 2024 Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract) AAAI 2024 Probabilistic reconciliation of mixed-type hierarchical time series UAI 2024 ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons NeurIPS 2024 Product Description and QA Assisted Self-Supervised Opinion Summarization NAACL 2024 Pure Message Passing Can Estimate Common Neighbor for Link Prediction NeurIPS 2024 PyGOD: A Python Library for Graph Outlier Detection JMLR 2024 Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection CVPR 2024 Reap the Wild Wind: Detecting Media Storms in Large-Scale News Corpora EMNLP 2024 Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows IJCAI 2024 Recurrent Concept Drifts on Data Streams IJCAI 2024 Reinforced Cross-Domain Knowledge Distillation on Time Series Data NeurIPS 2024 RelBench: A Benchmark for Deep Learning on Relational Databases NeurIPS 2024 Reservoir Computing for Short High-Dimensional Time Series: an Application to SARS-CoV-2 Hospitalization Forecast ICML 2024 Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators ICLR 2024 Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting NeurIPS 2024