#classifiers

'Interpretable Global Minima of Deep ReLU Neural Networks on Sequentially Separable Data', by Thomas Chen, Patrícia Muñoz Ewald. #classifiers #minimizers #classes

'Demographic Parity in Regression and Classification Within the Unawareness Framework', by Vincent Divol, Solenne Gaucher. #classifiers #classification #optimal

'Classification Under Local Differential Privacy with Model Reversal and Model Averaging', by Caihong Qin, Yang Bai. #privacy #classifiers #classification

'Fairness guarantees in multi-class classification with demographic parity', by Christophe Denis, Romuald Elie, Mohamed Hebiri, François Hu. #fairness #classifiers #classification

'Optimal Decision Tree and Adaptive Submodular Ranking with Noisy Outcomes', by Su Jia, Fatemeh Navidi, Viswanath Nagarajan, R. Ravi. #classifiers #deterministic #optimal

'Lifted Bregman Training of Neural Networks', by Xiaoyu Wang, Martin Benning. #autoencoders #classifiers #denoising

'A Comparative Evaluation of Quantification Methods', by Tobias Schumacher, Markus Strohmaier, Florian Lemmerich. #classifiers #supervised #datasets

'Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processing', by Xianli Zeng, Kevin Jiang, Guang Cheng, Edgar Dobriban. #classifiers #fairness #classifier

'Interpretable and Fair Boolean Rule Sets via Column Generation', by Connor Lawless, Sanjeeb Dash, Oktay Gunluk, Dennis Wei. #boolean #classifiers #fairness

'Classification in the high dimensional Anisotropic mixture framework: A new take on Robust Interpolation', by Stanislav Minsker, Mohamed Ndaoud, Yiqiu Shen. #classifiers #classifier #classification

'A Hybrid Weighted Nearest Neighbour Classifier for Semi-Supervised Learning', by Stephen M. S. Lee, Mehdi Soleymani. #classifier #classifiers #supervised

Understanding and Improving Transfer Learning of Deep Models via Neural Collapse #classifiers #overfitting #learning

Hyperbolic Random Forests Lars Doorenbos, Pablo Márquez Neila, Raphael Sznitman, Pascal Mettes. Action editor: Novi Quadrianto. #classifiers #classification #classifier

'Linear Separation Capacity of Self-Supervised Representation Learning', by Shulei Wang. #supervised #classifiers #manifolds

Your Classifier Can Be Secretly a Likelihood-Based OOD Detector #classifiers #classifier #classification

'Random Forests for Change Point Detection', by Malte Londschien, Peter Bühlmann, Solt Kovács. #changeforest #classifier #classifiers

'Random Feature Amplification: Feature Learning and Generalization in Neural Networks', by Spencer Frei, Niladri S. Chatterji, Peter L. Bartlett. #classifiers #neurons #relu

ASL 1 students working on building classifier gardens #cabeasl #classifiers

'Margin-Based Active Learning of Classifiers', by Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice. #classifiers #classes #labels

Mislabeled examples detection viewed as probing machine learning models: concepts, survey and ext... Thomas George, Pierre Nodet, Alexis Bondu, Vincent Lemaire #classifiers #classifier #labeling