Summary of Dtization: a New Method For Supervised Feature Scaling, by Niful Islam
DTization: A New Method for Supervised Feature Scalingby Niful IslamFirst submitted to arxiv on: 27…
DTization: A New Method for Supervised Feature Scalingby Niful IslamFirst submitted to arxiv on: 27…
Using Neural Implicit Flow To Represent Latent Dynamics Of Canonical Systemsby Imran Nasim, Joaõ Lucas…
Deep Learning for Melt Pool Depth Contour Prediction From Surface Thermal Images via Vision Transformersby…
Machine Learning based prediction of Vanadium Redox Flow Battery temperature rise under different charge-discharge conditionsby…
Lazy Data Practices Harm Fairness Researchby Jan Simson, Alessandro Fabris, Christoph KernFirst submitted to arxiv…
Adversarial Consistency and the Uniqueness of the Adversarial Bayes Classifierby Natalie S. FrankFirst submitted to…
Online Policy Learning and Inference by Matrix Completionby Congyuan Duan, Jingyang Li, Dong XiaFirst submitted…
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Setsby Benjamin Dupuis,…
Low Cost Machine Vision for Insect Classificationby Danja Brandt, Martin Tschaikner, Teodor Chiaburu, Henning Schmidt,…
Causally Abstracted Multi-armed Banditsby Fabio Massimo Zennaro, Nicholas Bishop, Joel Dyer, Yorgos Felekis, Anisoara Calinescu,…