Summary of Selective Learning: Towards Robust Calibration with Dynamic Regularization, by Zongbo Han et al.
Selective Learning: Towards Robust Calibration with Dynamic Regularizationby Zongbo Han, Yifeng Yang, Changqing Zhang, Linjun…
Selective Learning: Towards Robust Calibration with Dynamic Regularizationby Zongbo Han, Yifeng Yang, Changqing Zhang, Linjun…
Tighter Bounds on the Information Bottleneck with Application to Deep Learningby Nir Weingarten, Zohar Yakhini,…
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Weakly Supervised Anomaly Detection via Knowledge-Data Alignmentby Haihong Zhao, Chenyi Zi, Yang Liu, Chen Zhang,…
Masked Graph Autoencoder with Non-discrete Bandwidthsby Ziwen Zhao, Yuhua Li, Yixiong Zou, Jiliang Tang, Ruixuan…
Revisiting the Dataset Bias Problem from a Statistical Perspectiveby Kien Do, Dung Nguyen, Hung Le,…
Fair Active Ranking from Pairwise Preferencesby Sruthi Gorantla, Sara AhmadianFirst submitted to arxiv on: 5…
Deep Exploration with PAC-Bayesby Bahareh Tasdighi, Manuel Haussmann, Nicklas Werge, Yi-Shan Wu, Melih KandemirFirst submitted…
Momentum Does Not Reduce Stochastic Noise in Stochastic Gradient Descentby Naoki Sato, Hideaki IidukaFirst submitted…