Methods

FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers ICML 2022 Forecasting Asset Dependencies to Reduce Portfolio Risk AAAI 2022 Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts NAACL 2022 From “Dynamics on Graphs” to “Dynamics of Graphs”: An Adaptive Echo-State Network Solution (Student Abstract) AAAI 2022 GCDT: A Chinese RST Treebank for Multigenre and Multilingual Discourse Parsing AACL 2022 Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN) NeurIPS 2022 Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement NeurIPS 2022 GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion IJCAI 2022 Gradient Importance Learning for Incomplete Observations ICLR 2022 Graphicon Evolution on the Chinese Social Media Platform BiliBili NAACL 2022 GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning IJCAI 2022 GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks NeurIPS 2022 HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting AAAI 2022 Identifying Moments of Change from Longitudinal User Text ACL 2022 Incorporating Item Frequency for Differentially Private Set Union AAAI 2022 Incorporating Stock Market Signals for Twitter Stance Detection ACL 2022 Innovations Autoencoder and its Application in One-class Anomalous Sequence Detection JMLR 2022 Interpretable Classification of Categorical Time Series Using the Spectral Envelope and Optimal Scalings JMLR 2022 Interval-censored Hawkes processes JMLR 2022 I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding AAAI 2022 Jointly Identifying and Fixing Inconsistent Readings from Information Extraction Systems ACL 2022 Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract) AAAI 2022 Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration AAAI 2022 Learning interacting dynamical systems with latent Gaussian process ODEs NeurIPS 2022 Learning Latent Seasonal-Trend Representations for Time Series Forecasting NeurIPS 2022