Summary of Stability Evaluation Via Distributional Perturbation Analysis, by Jose Blanchet et al.
Stability Evaluation via Distributional Perturbation Analysisby Jose Blanchet, Peng Cui, Jiajin Li, Jiashuo LiuFirst submitted…
Summary of Cross-modal Domain Adaptation in Brain Disease Diagnosis: Maximum Mean Discrepancy-based Convolutional Neural Networks, by Xuran Zhu
Cross-Modal Domain Adaptation in Brain Disease Diagnosis: Maximum Mean Discrepancy-based Convolutional Neural Networksby Xuran ZhuFirst…
Summary of On the Tractability Of Shap Explanations Under Markovian Distributions, by Reda Marzouk and Colin De La Higuera
On the Tractability of SHAP Explanations under Markovian Distributionsby Reda Marzouk, Colin de La HigueraFirst…
Summary of Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solving, By Sohei Arisaka and Qianxiao Li
Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solvingby Sohei Arisaka, Qianxiao LiFirst submitted to arxiv…
Summary of A View on Out-of-distribution Identification From a Statistical Testing Theory Perspective, by Alberto Caron et al.
A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspectiveby Alberto Caron, Chris Hicks,…
Summary of Tree-based Ensemble Learning For Out-of-distribution Detection, by Zhaiming Shen et al.
Tree-based Ensemble Learning for Out-of-distribution Detectionby Zhaiming Shen, Menglun Wang, Guang Cheng, Ming-Jun Lai, Lin…
Summary of Convolutional Learning on Directed Acyclic Graphs, by Samuel Rey et al.
Convolutional Learning on Directed Acyclic Graphsby Samuel Rey, Hamed Ajorlou, Gonzalo MateosFirst submitted to arxiv…
Summary of Philhumans: Benchmarking Machine Learning For Personal Health, by Vadim Liventsev et al.
PhilHumans: Benchmarking Machine Learning for Personal Healthby Vadim Liventsev, Vivek Kumar, Allmin Pradhap Singh Susaiyah,…
Summary of Is Flash Attention Stable?, by Alicia Golden et al.
Is Flash Attention Stable?by Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin…
Summary of Unsupervised Machine Learning For Data-driven Rock Mass Classification: Addressing Limitations in Existing Systems Using Drilling Data, by T. F. Hansen et al.
Unsupervised machine learning for data-driven rock mass classification: addressing limitations in existing systems using drilling…