The two dimensions of worst-case training and their integrated effect for out-of-domain generalization
Training with an emphasis on" hard-to-learn" components of the data has been proven as an
effective method to improve the generalization of machine learning models, especially in the …
effective method to improve the generalization of machine learning models, especially in the …
Foundation model-oriented robustness: Robust image model evaluation with pretrained models
Machine learning has demonstrated remarkable performance over finite datasets, yet
whether the scores over the fixed benchmarks can sufficiently indicate the model's …
whether the scores over the fixed benchmarks can sufficiently indicate the model's …
DeepBiomarker: identifying important lab tests from electronic medical records for the prediction of suicide-related events among PTSD patients
Identifying patients with high risk of suicide is critical for suicide prevention. We examined
lab tests together with medication use and diagnosis from electronic medical records (EMR) …
lab tests together with medication use and diagnosis from electronic medical records (EMR) …
The two dimensions of worst-case training and the integrated effect for out-of-domain generalization
Training with an emphasis on" hard-to-learn" components of the data has been proven as an
effective method to improve the generalization of machine learning models, especially in the …
effective method to improve the generalization of machine learning models, especially in the …
Randomized Dimension Reduction with Statistical Guarantees
Y Dong - arXiv preprint arXiv:2310.01739, 2023 - arxiv.org
Large models and enormous data are essential driving forces of the unprecedented
successes achieved by modern algorithms, especially in scientific computing and machine …
successes achieved by modern algorithms, especially in scientific computing and machine …
[PDF][PDF] Toward Robust Machine Learning by Countering Superficial Features
H Wang - 2021 - kilthub.cmu.edu
Abstract Machine learning, especially deep neural networks, has demonstrated remarkable
empirical performances over various benchmarks. A potential next step is to extend these …
empirical performances over various benchmarks. A potential next step is to extend these …
Oracle-oriented Robustness: Robust Image Model Evaluation with Pretrained Models as Surrogate Oracle
Machine learning has demonstrated remarkable performances over finite datasets, yet
whether the scores over the fixed benchmarks can sufficiently indicate the model's …
whether the scores over the fixed benchmarks can sufficiently indicate the model's …