Summary of Genetic Learning For Designing Sim-to-real Data Augmentations, by Bram Vanherle et al.
Genetic Learning for Designing Sim-to-Real Data Augmentationsby Bram Vanherle, Nick Michiels, Frank Van ReethFirst submitted…
Genetic Learning for Designing Sim-to-Real Data Augmentationsby Bram Vanherle, Nick Michiels, Frank Van ReethFirst submitted…
Noise-powered Multi-modal Knowledge Graph Representation Frameworkby Zhuo Chen, Yin Fang, Yichi Zhang, Lingbing Guo, Jiaoyan…
Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Promptingby Wenting Chen, Pengyu Wang, Hui…
RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedbackby Yanming Liu, Xinyue…
Exploring Large Language Models and Hierarchical Frameworks for Classification of Large Unstructured Legal Documentsby Nishchal…
Exact algorithms and heuristics for capacitated covering salesman problemsby Lucas Porto Maziero, Fábio Luiz Usberti,…
On Globular T-Spherical Fuzzy (G-TSF) Sets with Application to G-TSF Multi-Criteria Group Decision-Makingby Miin-Shen Yang,…
MEND: Meta dEmonstratioN Distillation for Efficient and Effective In-Context Learningby Yichuan Li, Xiyao Ma, Sixing…
STARFlow: Spatial Temporal Feature Re-embedding with Attentive Learning for Real-world Scene Flowby Zhiyang Lu, Qinghan…
LSTM-Based Text Generation: A Study on Historical Datasetsby Mustafa Abbas Hussein Hussein, Serkan SavaşFirst submitted…