Summary of Synthdst: Synthetic Data Is All You Need For Few-shot Dialog State Tracking, by Atharva Kulkarni et al.
SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State Trackingby Atharva Kulkarni, Bo-Hsiang…
SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State Trackingby Atharva Kulkarni, Bo-Hsiang…
Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Databy…
A Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt Learningby Xingtong…
Few-Shot Class-Incremental Learning with Prior Knowledgeby Wenhao Jiang, Duo Li, Menghan Hu, Guangtao Zhai, Xiaokang…
Unlearnable Algorithms for In-context Learningby Andrei Muresanu, Anvith Thudi, Michael R. Zhang, Nicolas PapernotFirst submitted…
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecastingby Zhanyu Liu, Guanjie Zheng, Yanwei YuFirst…
A Survey of Data-Efficient Graph Learningby Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu…
CPT: Competence-progressive Training Strategy for Few-shot Node Classificationby Qilong Yan, Yufeng Zhang, Jinghao Zhang, Jingpu…
Episodic-free Task Selection for Few-shot Learningby Tao ZhangFirst submitted to arxiv on: 31 Jan 2024CategoriesMain:…
MAPLE: Micro Analysis of Pairwise Language Evolution for Few-Shot Claim Verificationby Xia Zeng, Arkaitz ZubiagaFirst…