Summary of Self-consistency Training For Density-functional-theory Hamiltonian Prediction, by He Zhang et al.
Self-Consistency Training for Density-Functional-Theory Hamiltonian Predictionby He Zhang, Chang Liu, Zun Wang, Xinran Wei, Siyuan…
Summary of Upper Bound Of Bayesian Generalization Error in Partial Concept Bottleneck Model (cbm): Partial Cbm Outperforms Naive Cbm, by Naoki Hayashi and Yoshihide Sawada
Upper Bound of Bayesian Generalization Error in Partial Concept Bottleneck Model (CBM): Partial CBM outperforms…
Summary of Mcformer: Multivariate Time Series Forecasting with Mixed-channels Transformer, by Wenyong Han et al.
MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformerby Wenyong Han, Tao Zhu Member, Liming Chen,…
Summary of Easy-to-hard Generalization: Scalable Alignment Beyond Human Supervision, by Zhiqing Sun et al.
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervisionby Zhiqing Sun, Longhui Yu, Yikang Shen, Weiyang Liu,…
Summary of Laying the Foundation First? Investigating the Generalization From Atomic Skills to Complex Reasoning Tasks, by Yuncheng Huang et al.
Laying the Foundation First? Investigating the Generalization from Atomic Skills to Complex Reasoning Tasksby Yuncheng…
Summary of Effective Gradient Sample Size Via Variation Estimation For Accelerating Sharpness Aware Minimization, by Jiaxin Deng et al.
Effective Gradient Sample Size via Variation Estimation for Accelerating Sharpness aware Minimizationby Jiaxin Deng, Junbiao…
Summary of Sap: Corrective Machine Unlearning with Scaled Activation Projection For Label Noise Robustness, by Sangamesh Kodge et al.
SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustnessby Sangamesh Kodge, Deepak…
Summary of Human Alignment Of Large Language Models Through Online Preference Optimisation, by Daniele Calandriello et al.
Human Alignment of Large Language Models through Online Preference Optimisationby Daniele Calandriello, Daniel Guo, Remi…
Summary of Improving Implicit Regularization Of Sgd with Preconditioning For Least Square Problems, by Junwei Su et al.
Improving Implicit Regularization of SGD with Preconditioning for Least Square Problemsby Junwei Su, Difan Zou,…
Summary of Data Augmentation with Automated Machine Learning: Approaches and Performance Comparison with Classical Data Augmentation Methods, by Alhassan Mumuni and Fuseini Mumuni
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methodsby…