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2021年三大顶会时间序列论文代码整理

發(fā)布時(shí)間：2025/3/12 编程问答 21 豆豆

生活随笔收集整理的這篇文章主要介紹了 2021年三大顶会时间序列论文代码整理小編覺(jué)得挺不錯(cuò)的,現(xiàn)在分享給大家,幫大家做個(gè)參考.

作者：杰少，煉丹筆記嘉賓

2021年最新時(shí)間序列預(yù)測(cè)論文&代碼整理

AAAI 2021

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

下載：https://arxiv.org/abs/2009.05135
代碼：https://github.com/ostadabbas/DSARF

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

下載：https://arxiv.org/abs/2103.02164
代碼：https://paperswithcode.com/paper/dynamic-gaussian-mixture-based-deep#code

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

下載：https://arxiv.org/abs/2101.10460
代碼：未找到

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

下載：https://arxiv.org/abs/2102.00431
代碼：未找到

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

下載：https://arxiv.org/abs/1911.11561
代碼：未找到

Learnable Dynamic Temporal Pooling for Time Series Classification

下載：https://arxiv.org/abs/2104.02577
代碼：https://github.com/donalee/DTW-Pool

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

下載：https://ojs.aaai.org/index.php/AAAI/article/view/17018
代碼：未找到

Joint-Label Learning by Dual Augmentation for Time Series Classification

下載：https://ojs.aaai.org/index.php/AAAI/article/view/17071
代碼：未找到

Graph Neural Network-Based Anomaly Detection in Multivariate Time Series

下載：https://arxiv.org/abs/2106.06947
代碼：https://github.com/d-ailin/GDN

Time Series Anomaly Detection with Multiresolution Ensemble Decoding

下載：https://ojs.aaai.org/index.php/AAAI/article/view/17152
代碼：未找到

Outlier Impact Characterization for Time Series Data

下載：https://ojs.aaai.org/index.php/AAAI/article/view/17379
代碼：未找到

Generative Semi-Supervised Learning for Multivariate Time Series Imputation

下載：https://ojs.aaai.org/index.php/AAAI/article/view/17086
代碼：https://githubmemory.com/repo/zjuwuyy-DL/Generative-Semi-supervised-Learning-for-Multivariate-Time-Series-Imputation

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

下載：https://ojs.aaai.org/index.php/AAAI/article/view/17596
代碼：未找到

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

下載：https://arxiv.org/abs/2012.08976
代碼：https://github.com/wswdx/C2F-FWN

Inductive Graph Neural Networks for Spatiotemporal Kriging

下載：https://arxiv.org/abs/2006.07527
代碼：https://github.com/Kaimaoge/IGNNK

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

下載：https://ojs.aaai.org/index.php/AAAI/article/view/17329
代碼：https://github.com/zbs881314/Temporal-Coded-Deep-SNN

Continuous-Time Attention for Sequential Learning

下載：https://ojs.aaai.org/index.php/AAAI/article/view/16875
代碼：未找到

ChronoR: Rotation Based Temporal Knowledge Graph Embedding

下載：https://arxiv.org/abs/2103.10379
代碼：未找到

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

下載：https://arxiv.org/abs/2012.08492
代碼：未找到

Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs

下載：https://arxiv.org/abs/1911.11455
代碼：未找到

ICML 2021

Voice2Series: Reprogramming Acoustic Models for Time Series Classification

下載：https://arxiv.org/abs/2106.09296
代碼：https://github.com/huckiyang/Voice2Series-Reprogramming

Neural Rough Differential Equations for Long Time Series

下載：https://arxiv.org/abs/2009.08295
代碼：https://github.com/jambo6/neuralRDEs

Necessary and sufficient conditions for causal feature selection in time series with latent common causes

下載：https://arxiv.org/abs/2005.08543
代碼：未找到

Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting

下載：https://arxiv.org/abs/2101.12072
代碼：未找到

Conformal prediction interval for dynamic time-series

下載：https://arxiv.org/abs/2010.09107
代碼：https://github.com/hamrel-cxu/EnbPI

Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting

下載：https://arxiv.org/abs/2105.04100
代碼：https://github.com/Z-GCNETs/Z-GCNETs

End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series

下載：https://proceedings.mlr.press/v139/rangapuram21a.html
代碼：https://github.com/awslabs/gluon-ts

Approximation Theory of Convolutional Architectures for Time Series Modelling

下載：http://proceedings.mlr.press/v139/jiang21d/jiang21d.pdf
代碼：未找到

Whittle Networks: A Deep Likelihood Model for Time Series

下載：http://proceedings.mlr.press/v139/yu21c.html
代碼：https://github.com/ml-research/WhittleNetworks

Explaining Time Series Predictions with Dynamic Masks

下載：https://arxiv.org/abs/2106.05303
代碼：https://github.com/JonathanCrabbe/Dynamask

ST-DETR: Spatio-Temporal Object Traces Attention Detection Transformer

- 下載：https://arxiv.org/pdf/2107.05887.pdf- 代碼：未找到

Temporal Dependencies in Feature Importance for Time Series Predictions

下載：https://arxiv.org/abs/2107.14317
代碼：未找到

IJCAI

Time-Aware Multi-Scale RNNs for Time Series Modeling

下載：https://www.ijcai.org/proceedings/2021/315
代碼：https://github.com/qianlima-lab/TAMS-RNNs

Two Birds with One Stone: Series Saliency for Accurate and Interpretable Multivariate Time Series Forecasting

下載：https://www.ijcai.org/proceedings/2021/397
代碼：未找到

TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data

下載：https://arxiv.org/abs/2105.00412
代碼：未找到

Time-Series Representation Learning via Temporal and Contextual Contrasting

下載：https://arxiv.org/abs/2106.14112
代碼：https://github.com/emadeldeen24/TS-TCC

Time Series Data Augmentation for Deep Learning: A Survey

下載：https://arxiv.org/abs/2002.12478
代碼：無(wú)

Uncertain Time Series Classification

下載：https://www.ijcai.org/proceedings/2021/0683.pdf
代碼：https://github.com/frankl1/ustc

Learning Temporal Causal Sequence Relationships from Real-Time Time-

下載：https://arxiv.org/abs/1905.12262
代碼：未找到

Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation

下載：https://www.ijcai.org/proceedings/2021/378
代碼：https://github.com/jarheadjoe/Adv-spec-ker-matching

Multi-series Time-aware Sequence Partitioning for Disease Progression Modeling

下載：https://www.ijcai.org/proceedings/2021/493
代碼：未找到

參考文獻(xiàn)

https://www.yanxishe.com/reportDetail/26029

https://icml.cc/Conferences/2021/Schedule?type=Poster

https://ijcai-21.org/program-main-track/

https://dreamhomes.top/posts/202108241839/

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