2023-ECML/PKDD Improving Position Encoding of Transformers for Multivariate Time Series Classification 2023-arxiv Enhancing Multivariate Time Series Classifiers through Self-Attention and Relative Positioning Infusion 2023-arxiv Bake off redux-a review and experimental evaluation of recent time series classification algorithms 2022-ICLR OMNI-SCALE CNNS A SIMPLE AND EFFECTIVE KERNEL SIZE CONFIGURATION FOR TIME SERIES CLASSIFICATION 2021-arxiv Gated Transformer Networks for Multivariate Time Series Classification 2021-KDD A TRANSFORMER-BASED FRAMEWORK FOR MULTIVARIATE TIME SERIES REPRESENTATION LEARNING 2020-IJCAI A New Attention Mechanism to Classify Multivariate Time Series 2019-NIPs Unsupervised Scalable Representation Learning for Multivariate Time Series 2018-arxiv The UEA multivariate time series classification archive(2018) 2017-ICDM Generating synthetic time series to augment sparse datasets

2023-arxiv Retrieval-Augmented Generation for Large Language Models-A Survey 2024-NIPS QLoRA-Efficient Finetuning of Quantized LLMs 2021-ICLR LORA LOW-RANK ADAPTATION OF LARGE LANGUAGE MODELS 2022-ACL/short P-Tuning v2 Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks 2021-arxiv P-tuning v1 GPT Understands, Too 2021-ACL/IJCNLP Prefix-Tuning Optimizing Continuous Prompts for Generation

2024-CVPR Putting the Object Back into Video Object Segmentation 2022-ECCV XMem Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model 2019-ICCV Video Object Segmentation using Space-Time Memory Networks 2022-TPAMI A Survey on Deep Learning Technique for Video Segmentation

2022-Complex Intelligent Systems Survey on clothing image retrieval with cross-domain

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