Realistic Evaluation of Test-Time Adaptation Algorithms: Unsupervised Hyperparameter Selectionby Sebastian Cygert, Damian Sójka, Tomasz Trzciński,…
The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlationsby Tyler LaBonte, John…
Predictive Low Rank Matrix Learning under Partial Observations: Mixed-Projection ADMMby Dimitris Bertsimas, Nicholas A. G.…
Multi-Label Learning with Stronger Consistency Guaranteesby Anqi Mao, Mehryar Mohri, Yutao ZhongFirst submitted to arxiv…
Temperature Distribution Prediction in Laser Powder Bed Fusion using Transferable and Scalable Graph Neural Networksby…
Physics-guided Active Sample Reweighting for Urban Flow Predictionby Wei Jiang, Tong Chen, Guanhua Ye, Wentao…
Decision Focused Causal Learning for Direct Counterfactual Marketing Optimizationby Hao Zhou, Rongxiao Huang, Shaoming Li,…
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learningby Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer,…
Are We Ready for Out-of-Distribution Detection in Digital Pathology?by Ji-Hun Oh, Kianoush Falahkheirkhah, Rohit BhargavaFirst…
Non-Contact Breath Rate Classification Using SVM Model and mmWave Radar Sensor Databy Mohammad Wassaf Ali,…