Summary of Fill in the Gaps: Model Calibration and Generalization with Synthetic Data, by Yang Ba et al.
Fill In The Gaps: Model Calibration and Generalization with Synthetic Databy Yang Ba, Michelle V.…
Fill In The Gaps: Model Calibration and Generalization with Synthetic Databy Yang Ba, Michelle V.…
COME: Test-time adaption by Conservatively Minimizing Entropyby Qingyang Zhang, Yatao Bian, Xinke Kong, Peilin Zhao,…
On Information-Theoretic Measures of Predictive Uncertaintyby Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Sepp HochreiterFirst submitted…
Hard-Constrained Neural Networks with Universal Approximation Guaranteesby Youngjae Min, Anoopkumar Sonar, Navid AzizanFirst submitted to…
Regularized Robustly Reliable Learners and Instance Targeted Attacksby Avrim Blum, Donya SalessFirst submitted to arxiv…
Combinatorial Multi-armed Bandits: Arm Selection via Group Testingby Arpan Mukherjee, Shashanka Ubaru, Keerthiram Murugesan, Karthikeyan…
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Expertsby Xu Liu, Juncheng Liu,…
The Implicit Bias of Structured State Space Models Can Be Poisoned With Clean Labelsby Yonatan…
Comparison of deep learning and conventional methods for disease onset predictionby Luis H. John, Chungsoo…
A Kernelizable Primal-Dual Formulation of the Multilinear Singular Value Decompositionby Frederiek Wesel, Kim BatselierFirst submitted…