Summary of Leveraging Superfluous Information in Contrastive Representation Learning, by Xuechu Yu
Leveraging Superfluous Information in Contrastive Representation Learningby Xuechu YuFirst submitted to arxiv on: 19 Aug…
Summary of Uniting Contrastive and Generative Learning For Event Sequences Models, by Aleksandr Yugay and Alexey Zaytsev
Uniting contrastive and generative learning for event sequences modelsby Aleksandr Yugay, Alexey ZaytsevFirst submitted to…
Summary of Fine-gained Air Quality Inference Based on Low-quality Sensing Data Using Self-supervised Learning, by Meng Xu et al.
Fine-gained air quality inference based on low-quality sensing data using self-supervised learningby Meng Xu, Ke…
Summary of Drl-based Resource Allocation For Motion Blur Resistant Federated Self-supervised Learning in Iov, by Xueying Gu et al.
DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoVby Xueying Gu, Qiong…
Summary of Representation Learning Of Geometric Trees, by Zheng Zhang et al.
Representation Learning of Geometric Treesby Zheng Zhang, Allen Zhang, Ruth Nelson, Giorgio Ascoli, Liang ZhaoFirst…
Summary of Unsupervised Transfer Learning Via Adversarial Contrastive Training, by Chenguang Duan et al.
Unsupervised Transfer Learning via Adversarial Contrastive Trainingby Chenguang Duan, Yuling Jiao, Huazhen Lin, Wensen Ma,…
Summary of A Systematic Evaluation Of Generated Time Series and Their Effects in Self-supervised Pretraining, by Audrey Der et al.
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretrainingby Audrey Der,…
Summary of Lipcot: Linear Predictive Coding Based Tokenizer For Self-supervised Learning Of Time Series Data Via Language Models, by Md Fahim Anjum
LiPCoT: Linear Predictive Coding based Tokenizer for Self-supervised Learning of Time Series Data via Language…
Summary of Polycl: Contrastive Learning For Polymer Representation Learning Via Explicit and Implicit Augmentations, by Jiajun Zhou et al.
PolyCL: Contrastive Learning for Polymer Representation Learning via Explicit and Implicit Augmentationsby Jiajun Zhou, Yijie…
Summary of Optimizing V-information For Self-supervised Pre-training Data-effective Medical Foundation Models, by Wenxuan Yang et al.
Optimizing V-information for Self-Supervised Pre-training Data-Effective Medical Foundation Modelsby Wenxuan Yang, Hanyu Zhang, Weimin Tan,…