timeseriespapers

Introduction

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Contents

• Time-series Surveys
• XXX

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Time-Series Surveys

Num	Paper	Pub	Year	Links
1	Time Series Data Augmentation for Deep Learning: A Survey	IJCAI	2021	paper
2	Transformers in Time Series: A Survey	arXiv	2022	paper
3	A review on distance based time series classification	Data Mining and Knowledge Discovery	2019	paper
4	Deep learning for time series classification: a review	Data Mining and Knowledge Discovery	2019	paper
5	An empirical survey of data augmentation for time series classification with neural networks	PLoS One	2021	paper
6	Time-series forecasting with deep learning: a survey	Phil. Trans. R. Soc. A.	2021	paper
7	Anomaly Detection for IoT Time-Series Data: A Survey	IEEE Internet of Things Journal	2020	paper
8	Financial time series forecasting with deep learning : A systematic literature review: 2005–2019	Applied Soft Computing	2020	paper
9	A Review on Outlier/Anomaly Detection in Time Series Data	ACM Computing Surveys	2022	paper
10

Time-Series Classifiaction & Clustering

Num	Paper	Pub	Year	Links
1	MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series	AAAI	2023	paper & code
2	Unsupervised Scalable Representation Learning for Multivariate Time Series	NeurPS	2019	paper & code
3	Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency	NeurIPS	2022	paper & code
4	Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding	ICLR	2021	paper & code
5	TS2Vec: Towards Universal Representation of Time Series	AAAI	2022	paper & code
6	TimeCLR: A self-supervised contrastive learning framework for univariate time series representation	Knowledge-Based Systems	2022	paper & code
7	ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification	AAAI	2021	paper & code

Time-Series Forecasting & Prediction

Num	Paper	Pub	Year	Links
1	Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion	CIKM	2021	paper & code
2

Time-Series Anomaly Detection & Change Point Detection

Num	Paper	Pub	Year	Links
1	Contrastive autoencoder for anomaly detection in multivariate time series	Information Sciences (JCR-Q1)	2022	paper & code
2	Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy	ICLR(Spotlight)	2022	paper & code
3	Deep Contrastive One-Class Time Series Anomaly Detection	arXiv	2022	paper & code
4	Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding	WWW	2021	paper & code

Time-Series Industrial Fault Diagnosis

Num	Paper	Pub	Year	Links
1	Multiple Timescale Feature Learning Strategy for Valve Stiction Detection Based on Convolutional Neural Network	IEEE/ASME Transactions on Mechatronics	2022	paper & code
2	A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network	ISA Transactions	2020	paper & code
3	zhong

Time-Series Contrastive Representation Learning

Num	Paper	Pub	Year	Links
1	MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series	AAAI	2023	paper & code
2	Deep Contrastive One-Class Time Series Anomaly Detection	arXiv	2022	paper & code
3	Unsupervised Scalable Representation Learning for Multivariate Time Series	NeurPS	2019	paper & code
4	Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency	NeurIPS	2022	paper & code
5	Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding	ICLR	2021	paper & code
6	TS2Vec: Towards Universal Representation of Time Series	AAAI	2022	paper & code
7	TimeCLR: A self-supervised contrastive learning framework for univariate time series representation	Knowledge-Based Systems	2022	paper & code
8	Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding	WWW	2021	paper & code
9	Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion	CIKM	2021	paper & code
10

Time-Series Adversarial Representation Learning

Num	Paper	Pub	Year	Links
1

Self-supervised Contrastive Learning

Num	Paper	Pub	Year	Links
1	Exploring Simple Siamese Representation Learning	CVPR	2021	paper & code
2	A Simple Framework for Contrastive Learning of Visual Representations	ICML	2020	paper & code
3	Momentum Contrast for Unsupervised Visual Representation Learning	CVPR	2020
4	Representation Learning with Contrastive Predictive Coding	arXiv	2018
5	What makes for Good Views for Contrastive Learning	NeurIPS	2020
6	Understanding the Behaviour of Contrastive Loss	CVPR	2021
7	VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning	ICLR	2022
8	Max-Margin Contrastive Learning	AAAI	2022
9	Barlow Twins Self-Supervised Learning via Redundancy Reduction	ICML	2021
10	Contrastive Learning with Hard Negative Samples	ICLR	2021
11	Debiased Contrastive Learning	NeurIPS	2020
12	Incremental False Negative Detection for Contrastive Learning	ICLR	2022
13	Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives	AAAI	2021
14	SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption	ICLR	2022
15	Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap	ICLR	2022
16	Data-efficient image recognition with contrastive predictive coding	ICML	2020
17	Big Self-Supervised Models are Strong Semi-Supervised Learners	NeurIPS	2020
18	Supervised Contrastive Learning	NeurIPS	2020
19	Unsupervised Feature Learning via Non-Parametric Instance Discrimination	CVPR	2018
20	Unsupervised Embedding Learning via Invariant and Spreading Instance Feature	CVPR	2019
21	Contrastive Multiview Coding	ECCV	2020
22	Improved Baselines with Momentum Contrastive Learning	arXiv	2020
23	Unsupervised Learning of Visual Features by Contrasting Cluster Assignments	NeurIPS	2020
24	Bootstrap your own latent- A new approach to self-supervised Learning	NeurIPS	2020
25	BYOL works even without batch statistics	arXiv	2020
26	Exploring Simple Siamese Representation Learning	arXiv	2020
27	An Empirical Study of Training Self-Supervised Vision Transformers	ICCV	2021
28	Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere	ICML	2020
29	Self-Supervised Learning of Pretext-Invariant Representations	CVPR	2020
30	Ranking Info Noise Contrastive Estimation- Boosting Contrastive Learning via Ranked Positives	AAAI	2022
31	Noise-contrastive estimation- A new estimation principle for unnormalized statistical models	AISTATS	2010
32	Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation	ICLR	2022
33	How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning	ICLR	2022
34	Prototypical Contrastive Predictive Coding	ICLR	2022
35	The Close Relationship Between Contrastive Learning and Meta-Learning	ICLR	2022
36	Understanding Dimensional Collapse in Contrastive Self-supervised Learning	ICLR	2022
37	A theoretical analysis of contrastive unsupervised representation learning	ICML	2019
38	Prototypical Contrastive Learning of Unsupervised Representations	ICLR	2021
39	Learning Weakly-supervised Contrastive Representations	ICLR	2022
40	Weakly Supervised Contrastive Learning	ICCV	2021