AAAI 2021 | 时间序列论文一览

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时间序列学术速报

1. AAAI 2021| 时间序列相关论文一览
2. NeurIPS 2020 | 时间序列相关论文一览
3. ICML 2020 | 时间序列相关论文一览
4. KDD 2020 | 时间序列相关论文一览

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会议概况

AAAI的英文全称是 the Association for the Advance of Artificial Intelligence，中文意思是美国人工智能协会。

美国人工智能协会（American Association for Artificial Intelligence）是人工智能领域的主要学术组织之一。该协会主办的年会（AAAI, The National Conference on Artificial Intelligence）是一个主要的人工智能学术会议，被中国计算机协会推荐为A类会议。

今年 AAAI 2021 将于北京时间2021年2月9到12号于线上举行。本次大会共接收了 1692 篇论文，接收率约为21%，可谓收获颇丰。编者梳理与时间序列有关的研究，竟也高达66篇，可见产学两界对该领域的热情与应用前景。完整的接收论文列表可以访问 https://aaai.org/Conferences/AAAI-21/wp-content/uploads/2020/12/AAAI-21_Accepted-Paper-List.Main_.Technical.Track_.pdf 获取。

本文梳理AAAI 2021有关时间序列领域的最新研究成果，供大家参考。

• 时间序列
  • 预测：4篇
  • 分类：4篇
  • 异常检测：3篇
  • 聚类：1篇
  • 补缺：1篇
• 时间关系抽取：3篇
• 时空网络
  • 分割：3篇
  • 预测：13篇
  • 检测：11篇
• 时间知识图谱：3篇
• 时间神经网络：5篇
• 顺序分析
  • 推荐：5篇
  • 决策：7篇
  • 搜索：3篇

时间序列

预测

时序预测是时间序列领域的经典问题之一。本次AAAI带来了包括：多维时序预测/分解/多步预测 的研究

• 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

分类

时序分类是时间序列领域的经典问题之一。本次AAAI带来了包括：多维时序分类/标签增强 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

异常检测

时序异常检测在产业界应用很广。本次AAAI带来了包括：图网络/异常影响 等研究

• 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

聚类

本次AAAI带来了一篇关于不完整时序的聚类研究

• Learning Representations for Incomplete Time Series Clustering

补缺

本次AAAI带了一篇关于多维时间序列补缺的研究

• Generative Semi-Supervised Learning for Multivariate Time Series Imputation

时间关系抽取

关系抽取旨在分析不同时序之间相关性，涉及因果推导。本次AAAI带来了3篇研究

• 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

时空网络

分割

时空分割在视频分段场景应用广泛。本次AAAI带来了3篇研究

• 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

预测

时空预测在交通预测，用户行为预测，多因子气象预测等领域应用广泛。本次AAAI带来了13篇研究

• 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

检测

时空检测在动作识别，目标检测，事件检测等场景应用广泛。本次AAAI带来了11篇研究

• 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

时空知识图谱

时空知识图谱在原有知识图谱上，考虑时间先后的知识变迁。本次AAAI带来3篇研究

• 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

时间神经网络

处理时间先后顺序（或序列顺序）的神经网络为时序应用研究提供基础。本次AAAI带来了5篇研究

• 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

顺序分析

推荐

分析用户购买行为的先后顺序是推荐系统的一大方向。本次AAAI带来了5篇研究

• 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

决策

与推荐类似，用户决策具有一定的先后顺序。本次AAAI带来了7篇研究

• 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

搜索

如何预估用户的行为从而提高搜索的效率？本次AAAI带来了3篇研究

• 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

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