Confronting Discrimination in Classification: Smote Based on Marginalized Minorities in the Kernel Space for Imbalanced…
Thresholding Data Shapley for Data Cleansing Using Multi-Armed Banditsby Hiroyuki Namba, Shota Horiguchi, Masaki Hamamoto,…
BBox-Adapter: Lightweight Adapting for Black-Box Large Language Modelsby Haotian Sun, Yuchen Zhuang, Wei Wei, Chao…
Improving Black-box Robustness with In-Context Rewritingby Kyle O'Brien, Nathan Ng, Isha Puri, Jorge Mendez, Hamid…
Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspectiveby Kai Guo, Hongzhi Wen, Wei Jin, Yaming…
Causal Discovery under Off-Target Interventionsby Davin Choo, Kirankumar Shiragur, Caroline UhlerFirst submitted to arxiv on:…
Towards Equitable Agile Research and Development of AI and Roboticsby Andrew Hundt, Julia Schuller, Severin…
APALU: A Trainable, Adaptive Activation Function for Deep Learning Networksby Barathi Subramanian, Rathinaraja Jeyaraj, Rakhmonov…
Object Detection in Thermal Images Using Deep Learning for Unmanned Aerial Vehiclesby Minh Dang Tu,…
Distal Interference: Exploring the Limits of Model-Based Continual Learningby Heinrich van Deventer, Anna Sergeevna BosmanFirst…