Summary of Autotimes: Autoregressive Time Series Forecasters Via Large Language Models, by Yong Liu et al.
AutoTimes: Autoregressive Time Series Forecasters via Large Language Modelsby Yong Liu, Guo Qin, Xiangdong Huang,…
Summary of Leveraging Large Language Models For Structure Learning in Prompted Weak Supervision, by Jinyan Su et al.
Leveraging Large Language Models for Structure Learning in Prompted Weak Supervisionby Jinyan Su, Peilin Yu,…
Summary of Few-shot Class-incremental Learning with Prior Knowledge, by Wenhao Jiang et al.
Few-Shot Class-Incremental Learning with Prior Knowledgeby Wenhao Jiang, Duo Li, Menghan Hu, Guangtao Zhai, Xiaokang…
Summary of Rank Supervised Contrastive Learning For Time Series Classification, by Qianying Ren et al.
Rank Supervised Contrastive Learning for Time Series Classificationby Qianying Ren, Dongsheng Luo, Dongjin SongFirst submitted…
Summary of Uncertainty-guided Alignment For Unsupervised Domain Adaptation in Regression, by Ismail Nejjar et al.
Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regressionby Ismail Nejjar, Gaetan Frusque, Florent Forest, Olga…
Summary of Language Models As Hierarchy Encoders, by Yuan He et al.
Language Models as Hierarchy Encodersby Yuan He, Zhangdie Yuan, Jiaoyan Chen, Ian HorrocksFirst submitted to…
Summary of A Kolmogorov Metric Embedding For Live Cell Microscopy Signaling Patterns, by Layton Aho et al.
A Kolmogorov metric embedding for live cell microscopy signaling patternsby Layton Aho, Mark Winter, Marc…