A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertaintiesby David J.…
OmniPred: Language Models as Universal Regressorsby Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi…
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusionby Zijun Long,…
Quaternion recurrent neural network with real-time recurrent learning and maximum correntropy criterionby Pauline Bourigault, Dongpo…
COPR: Continual Human Preference Learning via Optimal Policy Regularizationby Han Zhang, Lin Gui, Yu Lei,…
Automated Design and Optimization of Distributed Filtering Circuits via Reinforcement Learningby Peng Gao, Tao Yu,…
MENTOR: Guiding Hierarchical Reinforcement Learning with Human Feedback and Dynamic Distance Constraintby Xinglin Zhou, Yifu…
Reconstruction-Based Anomaly Localization via Knowledge-Informed Self-Trainingby Cheng Qian, Xiaoxian Lao, Chunguang LiFirst submitted to arxiv…
A hierarchical decomposition for explaining ML performance discrepanciesby Jean Feng, Harvineet Singh, Fan Xia, Adarsh…
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyondby Zhiyuan Wang,…