Summary of Ups: Efficiently Building Foundation Models For Pde Solving Via Cross-modal Adaptation, by Junhong Shen et al.
UPS: Efficiently Building Foundation Models for PDE Solving via Cross-Modal Adaptationby Junhong Shen, Tanya Marwah,…
Summary of Improving Deep Learning with Prior Knowledge and Cognitive Models: a Survey on Enhancing Explainability, Adversarial Robustness and Zero-shot Learning, by Fuseinin Mumuni and Alhassan Mumuni
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial…
Summary of Few-shot Cross-lingual Transfer For Prompting Large Language Models in Low-resource Languages, by Christopher Toukmaji
Few-Shot Cross-Lingual Transfer for Prompting Large Language Models in Low-Resource Languagesby Christopher ToukmajiFirst submitted to…
Summary of Designing Informative Metrics For Few-shot Example Selection, by Rishabh Adiga et al.
Designing Informative Metrics for Few-Shot Example Selectionby Rishabh Adiga, Lakshminarayanan Subramanian, Varun ChandrasekaranFirst submitted to…
Summary of On Transfer in Classification: How Well Do Subsets Of Classes Generalize?, by Raphael Baena et al.
On Transfer in Classification: How Well do Subsets of Classes Generalize?by Raphael Baena, Lucas Drumetz,…
Summary of Boosting Meta-training with Base Class Information For Few-shot Learning, by Weihao Jiang et al.
Boosting Meta-Training with Base Class Information for Few-Shot Learningby Weihao Jiang, Guodong Liu, Di He,…
Summary of Task Attribute Distance For Few-shot Learning: Theoretical Analysis and Applications, by Minyang Hu et al.
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applicationsby Minyang Hu, Hong Chang, Zong…
Summary of Dinov2 Based Self Supervised Learning For Few Shot Medical Image Segmentation, by Lev Ayzenberg et al.
DINOv2 based Self Supervised Learning For Few Shot Medical Image Segmentationby Lev Ayzenberg, Raja Giryes,…
Summary of Large Language Models For Document-level Event-argument Data Augmentation For Challenging Role Types, by Joseph Gatto et al.
Large Language Models for Document-Level Event-Argument Data Augmentation for Challenging Role Typesby Joseph Gatto, Parker…
Summary of Towards Foundation Time Series Model: to Synthesize or Not to Synthesize?, by Kseniia Kuvshinova et al.
Towards Foundation Time Series Model: To Synthesize Or Not To Synthesize?by Kseniia Kuvshinova, Olga Tsymboi,…