Summary of Navigate Beyond Shortcuts: Debiased Learning Through the Lens Of Neural Collapse, by Yining Wang et al.
Navigate Beyond Shortcuts: Debiased Learning through the Lens of Neural Collapseby Yining Wang, Junjie Sun,…
Summary of Estimating Noisy Class Posterior with Part-level Labels For Noisy Label Learning, by Rui Zhao et al.
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learningby Rui Zhao, Bin Shi,…
Summary of The Effect Of Model Size on Llm Post-hoc Explainability Via Lime, by Henning Heyen et al.
The Effect of Model Size on LLM Post-hoc Explainability via LIMEby Henning Heyen, Amy Widdicombe,…
Summary of Large Language Model Enhanced Machine Learning Estimators For Classification, by Yuhang Wu et al.
Large Language Model Enhanced Machine Learning Estimators for Classificationby Yuhang Wu, Yingfei Wang, Chu Wang,…
Summary of Selective Classification Under Distribution Shifts, by Hengyue Liang et al.
Selective Classification Under Distribution Shiftsby Hengyue Liang, Le Peng, Ju SunFirst submitted to arxiv on:…
Summary of Ai in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple Ct Scan Datasets, by Fakrul Islam Tushar et al.
AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasetsby Fakrul…
Summary of Fractal: An Ultra-large-scale Aerial Lidar Dataset For 3d Semantic Segmentation Of Diverse Landscapes, by Charles Gaydon et al.
FRACTAL: An Ultra-Large-Scale Aerial Lidar Dataset for 3D Semantic Segmentation of Diverse Landscapesby Charles Gaydon,…
Summary of Conditional Local Feature Encoding For Graph Neural Networks, by Yongze Wang et al.
Conditional Local Feature Encoding for Graph Neural Networksby Yongze Wang, Haimin Zhang, Qiang Wu, Min…
Summary of Hypergraph-enhanced Dual Semi-supervised Graph Classification, by Wei Ju et al.
Hypergraph-enhanced Dual Semi-supervised Graph Classificationby Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu,…
Summary of Deepdamagenet: a Two-step Deep-learning Model For Multi-disaster Building Damage Segmentation and Classification Using Satellite Imagery, by Irene Alisjahbana et al.
DeepDamageNet: A two-step deep-learning model for multi-disaster building damage segmentation and classification using satellite imageryby…