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…
The Relevance Feature and Vector Machine for health applicationsby Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Emilio Parrado-Hernández,…
Boosting-Based Sequential Meta-Tree Ensemble Construction for Improved Decision Treesby Ryota Maniwa, Naoki Ichijo, Yuta Nakahara,…
GenEFT: Understanding Statics and Dynamics of Model Generalization via Effective Theoryby David D. Baek, Ziming…
FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecastingby Ziqing…
Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecastingby Yanjun Zhao,…
Beyond explaining: XAI-based Adaptive Learning with SHAP Clustering for Energy Consumption Predictionby Tobias Clement, Hung…
Block Sparse Bayesian Learning: A Diversified Schemeby Yanhao Zhang, Zhihan Zhu, Yong XiaFirst submitted to…
Improved Generalization of Weight Space Networks via Augmentationsby Aviv Shamsian, Aviv Navon, David W. Zhang,…
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Designby Samuel Garcin, James Doran, Shangmin…