Summary of Parametric Augmentation For Time Series Contrastive Learning, by Xu Zheng et al.
Parametric Augmentation for Time Series Contrastive Learningby Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma,…
Parametric Augmentation for Time Series Contrastive Learningby Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma,…
Understanding Survey Paper Taxonomy about Large Language Models via Graph Representation Learningby Jun Zhuang, Casey…
One-Bit Quantization and Sparsification for Multiclass Linear Classification with Strong Regularizationby Reza Ghane, Danil Akhtiamov,…
Rethinking Self-Distillation: Label Averaging and Enhanced Soft Label Refinement with Partial Labelsby Hyeonsu Jeong, Hye…
Can we Soft Prompt LLMs for Graph Learning Tasks?by Zheyuan Liu, Xiaoxin He, Yijun Tian,…
Pretext Training Algorithms for Event Sequence Databy Yimu Wang, He Zhao, Ruizhi Deng, Frederick Tung,…
FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clientsby Xinchi Qiu, Yan…
Classification Diffusion Models: Revitalizing Density Ratio Estimationby Shahar Yadin, Noam Elata, Tomer MichaeliFirst submitted to…
COVIDHealth: A Benchmark Twitter Dataset and Machine Learning based Web Application for Classifying COVID-19 Discussionsby…
HyperMagNet: A Magnetic Laplacian based Hypergraph Neural Networkby Tatyana Benko, Martin Buck, Ilya Amburg, Stephen…