Summary of Calibration Of Ordinal Regression Networks, by Daehwan Kim et al.
Calibration of Ordinal Regression Networksby Daehwan Kim, Haejun Chung, Ikbeom JangFirst submitted to arxiv on:…
Calibration of Ordinal Regression Networksby Daehwan Kim, Haejun Chung, Ikbeom JangFirst submitted to arxiv on:…
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problemsby Bingcong Li, Liang Zhang, Niao HeFirst submitted…
How Does Data Diversity Shape the Weight Landscape of Neural Networks?by Yang Ba, Michelle V.…
On the Regularization of Learnable Embeddings for Time Series Forecastingby Luca Butera, Giovanni De Felice,…
Auditing and Enforcing Conditional Fairness via Optimal Transportby Mohsen Ghassemi, Alan Mishler, Niccolo Dalmasso, Luhao…
PiLocNet: Physics-informed neural network on 3D localization with rotating point spread functionby Mingda Lu, Zitian…
L1-Regularized ICA: A Novel Method for Analysis of Task-related fMRI Databy Yusuke Endo, Koujin TakedaFirst…
AERO: Softmax-Only LLMs for Efficient Private Inferenceby Nandan Kumar Jha, Brandon ReagenFirst submitted to arxiv…
Local transfer learning Gaussian process modeling, with applications to surrogate modeling of expensive computer simulatorsby…
CREAM: Consistency Regularized Self-Rewarding Language Modelsby Zhaoyang Wang, Weilei He, Zhiyuan Liang, Xuchao Zhang, Chetan…