Summary of Warpadam: a New Adam Optimizer Based on Meta-learning Approach, by Chengxi Pan et al.
WarpAdam: A new Adam optimizer based on Meta-Learning approachby Chengxi Pan, Junshang Chen, Jingrui YeFirst…
Summary of Calibration Of Network Confidence For Unsupervised Domain Adaptation Using Estimated Accuracy, by Coby Penso and Jacob Goldberger
Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracyby Coby Penso, Jacob GoldbergerFirst…
Summary of Attentionx: Exploiting Consensus Discrepancy in Attention From a Distributed Optimization Perspective, by Guoqiang Zhang and Richard Heusdens
AttentionX: Exploiting Consensus Discrepancy In Attention from A Distributed Optimization Perspectiveby Guoqiang Zhang, Richard HeusdensFirst…
Summary of Coxkan: Kolmogorov-arnold Networks For Interpretable, High-performance Survival Analysis, by William Knottenbelt et al.
CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysisby William Knottenbelt, Zeyu Gao, Rebecca Wray, Woody…
Summary of A Unified Approach to Inferring Chemical Compounds with the Desired Aqueous Solubility, by Muniba Batool et al.
A Unified Approach to Inferring Chemical Compounds with the Desired Aqueous Solubilityby Muniba Batool, Naveed…
Summary of Active Learning For Regression in Engineering Populations: a Risk-informed Approach, by Daniel R. Clarkson et al.
Active learning for regression in engineering populations: A risk-informed approachby Daniel R. Clarkson, Lawrence A.…
Summary of Enhancing Uncertainty Quantification in Drug Discovery with Censored Regression Labels, by Emma Svensson et al.
Enhancing Uncertainty Quantification in Drug Discovery with Censored Regression Labelsby Emma Svensson, Hannah Rosa Friesacher,…
Summary of Amortized Bayesian Workflow (extended Abstract), by Marvin Schmitt et al.
Amortized Bayesian Workflow (Extended Abstract)by Marvin Schmitt, Chengkun Li, Aki Vehtari, Luigi Acerbi, Paul-Christian Bürkner,…
Summary of A High-accuracy Multi-model Mixing Retrosynthetic Method, by Shang Xiang et al.
A high-accuracy multi-model mixing retrosynthetic methodby Shang Xiang, Lin Yao, Zhen Wang, Qifan Yu, Wentan…
Summary of Agr: Age Group Fairness Reward For Bias Mitigation in Llms, by Shuirong Cao et al.
AGR: Age Group fairness Reward for Bias Mitigation in LLMsby Shuirong Cao, Ruoxi Cheng, Zhiqiang…