Summary of Mining In-distribution Attributes in Outliers For Out-of-distribution Detection, by Yutian Lei et al.
Mining In-distribution Attributes in Outliers for Out-of-distribution Detectionby Yutian Lei, Luping Ji, Pei LiuFirst submitted…
Summary of On the Ability Of Deep Networks to Learn Symmetries From Data: a Neural Kernel Theory, by Andrea Perin and Stephane Deny
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theoryby…
Summary of Probabilities-informed Machine Learning, by Mohsen Rashki
Probabilities-Informed Machine Learningby Mohsen RashkiFirst submitted to arxiv on: 16 Dec 2024CategoriesMain: Machine Learning (cs.LG)Secondary:…
Summary of Formulations and Scalability Of Neural Network Surrogates in Nonlinear Optimization Problems, by Robert B. Parker et al.
Formulations and scalability of neural network surrogates in nonlinear optimization problemsby Robert B. Parker, Oscar…
Summary of Early Concept Drift Detection Via Prediction Uncertainty, by Pengqian Lu et al.
Early Concept Drift Detection via Prediction Uncertaintyby Pengqian Lu, Jie Lu, Anjin Liu, Guangquan ZhangFirst…
Summary of Missing Data Imputation For Noisy Time-series Data and Applications in Healthcare, by Lien P. Le et al.
Missing data imputation for noisy time-series data and applications in healthcareby Lien P. Le, Xuan-Hien…
Summary of Semi-supervised Risk Control Via Prediction-powered Inference, by Bat-sheva Einbinder et al.
Semi-Supervised Risk Control via Prediction-Powered Inferenceby Bat-Sheva Einbinder, Liran Ringel, Yaniv RomanoFirst submitted to arxiv…
Summary of Prediction-enhanced Monte Carlo: a Machine Learning View on Control Variate, by Fengpei Li et al.
Prediction-Enhanced Monte Carlo: A Machine Learning View on Control Variateby Fengpei Li, Haoxian Chen, Jiahe…
Summary of Wearable Accelerometer Foundation Models For Health Via Knowledge Distillation, by Salar Abbaspourazad et al.
Wearable Accelerometer Foundation Models for Health via Knowledge Distillationby Salar Abbaspourazad, Anshuman Mishra, Joseph Futoma,…
Summary of Making Bias Amplification in Balanced Datasets Directional and Interpretable, by Bhanu Tokas et al.
Making Bias Amplification in Balanced Datasets Directional and Interpretableby Bhanu Tokas, Rahul Nair, Hannah KernerFirst…