accept paper list

时序相关论文一览

Anomaly detection [anomaly, outlier, out-of-distribution, one-class]

• A Causal Inference Look at Unsupervised Video Anomaly Detection

  Xiangru Lin, Yuyang Chen, Guanbin Li, Yizhou Yu

• Comprehensive Regularization in a Bi-Directional Predictive Network for Video Anomaly Detection

  Chengwei Chen, Yuan Xie, Shaohui Lin, Angela Yao, Guannan Jiang, Wei Zhang, Yanyun Qu, Ruizhi Qiao, Bo Ren, Lizhuang Ma

• Towards a Rigorous Evaluation of Time-Series Anomaly Detection

  Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon

• Unsupervised Anomaly Detection by Robust Density Estimation

  Boyang Liu, Pang-Ning Tan, Jiayu Zhou

• Self-Training Multi-Sequence Learning with Transformer for Weakly Supervised Video Anomaly Detection

  Shuo Li, Fang Liu, Licheng Jiao

• Transferring the Contamination Factor between Anomaly Detection Domains by Shape Similarity

  Lorenzo Perini, Vincent Vercruyssen, Jesse Davis

Heterogeneous data

• Heterogeneous Facility Location with Limited Resources

  Argyrios Deligkas, Aris Filos Ratsikas, Alexandros A. Voudouris

• H^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis

  Wentai Hou, Lequan Yu, Chengxuan Lin, Helong Huang, Rongshan Yu, Jing Qin, Liansheng Wang

• FedProto: Federated Prototype Learning Across Heterogeneous Clients

  Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang

Time series

• Conditional Loss and Deep Euler Scheme for Time Series Generation

  Carl Remlinger, Joseph Mikael, Romuald Elie

• Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis

  Taha Belkhouja, Yan Yan, Janardhan Rao Doppa

• CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting

  Hui He, Qi Zhang, Simeng Bai, Kun Yi, Zhendong Niu

• Reinforcement Learning based Dynamic Model Combination for Time Series ForecastingYuwei Fu, Di Wu, Benoit Boulet

• 【需要看看】 TS2Vec: Towards Universal Representation of Time Series

  Zhihan Yue, Yujing Wang, Juanyong Duan, Tianmeng Yang, Congrui Huang, Yunhai Tong, Bixiong Xu

• 【需要看看】 I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding

  Sirisha Rambhatla, Zhengping Che, Yan Liu

• Clustering Interval-Censored Time-Series for Disease Phenotyping

  Irene Y. Chen, Rahul G. Krishnan, David Sontag

• 【需要看看】 Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences

  Vinayak Gupta, Srikanta Bedathur, Abir De

Sequence learning

• Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models

  Juan Ramirez-Orta, Eduardo Xamena, Ana Maguitman, Evangelos Milios, Axel J. Soto

• Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics

  Sean Welleck, Peter West, Jize Cao, Yejin Choi

interpretable/interpretability

• Optimal Local Explainer Aggregation for Interpretable Prediction

  Qiaomei Li, Rachel Cummings, Yonatan Mintz

• LIMREF: Local Interpretable Model Agnostic Rule-Based Explanations for Forecasting, with an Application to Electricity Smart Meter Data

  Dilini Rajapaksha, Christoph Bergmeir

• Social Interpretable Tree for Pedestrian Trajectory Prediction

  Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Nanning Zheng, Gang Hua

• 【需要看看】 Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation

  Hanjie Chen, Yangfeng Ji

• Interpretable Clustering via Multi-Polytope Machines

  Connor Lawless, Jayant Kalagnanam, Lam M. Nguyen, Dzung Phan, Chandra Reddy

• 【需要看看】 Interpretable Generative Adversarial Networks

  Chao Li, Kelu Yao, Jin Wang, Boyu Diao, Yongjun Xu, Quanshi Zhang

• 【需要看看】 Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding

  Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Sercan  . Arik, Tomas Pfister