Methods

Fairness in Forecasting and Learning Linear Dynamical Systems AAAI 2021 Fast and Light Bandwidth Testing for Internet Users NSDI 2021 Fast PCA in 1-D Wasserstein Spaces via B-splines Representation and Metric Projection AAAI 2021 FinQA: A Dataset of Numerical Reasoning over Financial Data EMNLP 2021 Flexible Signal Denoising via Flexible Empirical Bayes Shrinkage JMLR 2021 FrameNet-like Annotation of Olfactory Information in Texts EMNLP 2021 From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction JMLR 2021 Fully Exploiting Cascade Graphs for Real-time Forwarding Prediction AAAI 2021 Generative Semi-supervised Learning for Multivariate Time Series Imputation AAAI 2021 Graph Gamma Process Linear Dynamical Systems AISTATS 2021 GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting AAAI 2021 Guided Visual Exploration of Relations in Data Sets JMLR 2021 Hierarchical Adaptive Temporal-Relational Modeling for Stock Trend Prediction IJCAI 2021 Homogeneity Structure Learning in Large-scale Panel Data with Heavy-tailed Errors JMLR 2021 Improved Coresets and Sublinear Algorithms for Power Means in Euclidean Spaces NeurIPS 2021 Independent Innovation Analysis for Nonlinear Vector Autoregressive Process AISTATS 2021 Inductive Graph Neural Networks for Spatiotemporal Kriging AAAI 2021 Inferring serial correlation with dynamic backgrounds ICML 2021 iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression CVPR 2021 Joint-Label Learning by Dual Augmentation for Time Series Classification AAAI 2021 Large-Scale Unsupervised Object Discovery NeurIPS 2021 Learnable Dynamic Temporal Pooling for Time Series Classification AAAI 2021 Learning-based Support Estimation in Sublinear Time ICLR 2021 Learning by Watching CVPR 2021 Learning Discriminative Prototypes With Dynamic Time Warping CVPR 2021