AAAI 2021 | 時間序列相關(guān)論文匯總

• 時間序列
• 預測：4篇
• 分類：4篇
• 異常檢測：3篇
• 聚類：1篇
• 補缺：1篇
  
• 時間關(guān)系抽?。?篇
• 時空網(wǎng)絡

• 分割：3篇
• 預測：13篇
• 檢測：11篇

• 時間知識圖譜：3篇
• 時間神經(jīng)網(wǎng)絡：5篇
• 順序分析

• 推薦：5篇
• 決策：7篇
• 搜索：3篇

• Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting

• Dynamic Gaussian Mixture Based Deep Generative Model for Robust Forecasting on Sparse Multivariate Time Series

• Temporal Latent Autoencoder: A Method for Probabilistic Multivariate Time Series Forecasting

• Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting

  
  

時序分類是時間序列領域的經(jīng)典問題之一。本次AAAI帶來了包括：多維時序分類/標簽增強 等研究

• Correlative Channel-Aware Fusion for Multi-View Time Series Classification

• Learnable Dynamic Temporal Pooling for Time Series Classification

• ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification

• Joint-Label Learning by Dual Augmentation for Time Series Classification

• Graph Neural Network-Based Anomaly Detection in Multivariate Time Series

• Time Series Anomaly Detection with Multiresolution Ensemble Decoding

• Outlier Impact Characterization for Time Series Data

• Learning Representations for Incomplete Time Series Clustering

• Generative Semi-Supervised Learning for Multivariate Time Series Imputation

• Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference

• Time Series Domain Adaptation via Sparse Associative Structure Alignment

• Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling

• Spatiotemporal Graph Neural Network Based Mask Reconstruction for Video Object Segmentation

• Temporal Relational Modeling with Self-Supervision for Action Segmentation

• Temporal Segmentation of Fine-Gained Semantic Action: A Motion-Centered Figure Skating Dataset

• Graph and Temporal Convolutional Network for Spatio-Temporal 3D Multi-Person Pose Estimation in Monocular Videos

• Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning

• BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation

• Automatic Generation of Flexible Plans via Diverse Temporal Planning

• Pre-Training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction

• GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting

• Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting

• Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision

• Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks

• CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-Cloud Stream Forecasting

• Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning

• Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network

• FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting

• Spatio-Temporal Difference Descriptor for Skeleton-Based Action Recognition

• Spatial-Temporal Causal Inference for Partial Image-to-Video Adaptation

• Temporal ROI Align for Video Object Recognition

• Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition

• Learning Precise Temporal Point Event Detection with Misaligned Labels

• Real-Time Tropical Cyclone Intensity Estimation by Handling Temporally Heterogeneous Satellite Data

• STELAR: Spatio-Temporal Tensor Factorization with Latent Epidemiological Regularization

• ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization

• Weakly-Supervised Temporal Action Localization by Uncertainty Modeling

• Weakly Supervised Temporal Action Localization through Learning Explicit Subspaces for Action and Context

• A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization

• ChronoR: Rotation Based Temporal Knowledge Graph Embedding

• Learning from History: Modeling Temporal Knowledge Graphs with Sequential CopyGeneration Networks

• Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs

• Bridging Towers of Multi-Task Learning with a Gating Mechanism for Aspect-Based Sentiment Analysis and Sequential Metaphor Identification

• C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer

• Inductive Graph Neural Networks for Spatiotemporal Kriging

• Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance

• Continuous-Time Attention for Sequential Learning

• Cold-Start Sequential Recommendation via Meta Learner

• A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models

• Noninvasive Self-Attention for Side Information Fusion in Sequential Recommendation

• Dynamic Memory Based Attention Network for Sequential Recommendation

• Reinforcement Learning of Sequential Price Mechanisms

• Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games

• Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games

• Sequential Attacks on Kalman Filter-Based Forward Collision Warning Systems

• Apparently Irrational Choice as Optimal Sequential Decision Making

• Ethically Compliant Sequential Decision Making

• Hindsight and Sequential Rationality of Correlated Play

• Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach

• When Hashing Met Matching: Efficient Spatio-Temporal Search for Ridesharing

• Synthesis of Search Heuristics for Temporal Planning via Reinforcement Learning

• Sequential End-to-End Network for Efficient Person Search