| End-To-End Bias Mitigation: Removing Gender Bias in Deep Learning | Apr 6, 2021 | BIG-bench Machine LearningDecision Making | —Unverified | 0 | 0 |
| On the Bounds of Function Approximations | Aug 26, 2019 | BIG-bench Machine LearningNeural Architecture Search | —Unverified | 0 | 0 |
| On the Challenges of Detecting Rude Conversational Behaviour | Dec 28, 2017 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| On the complexity of the optimal transport problem with graph-structured cost | Oct 1, 2021 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| On the Computability of AIXI | Oct 19, 2015 | BIG-bench Machine Learningreinforcement-learning | —Unverified | 0 | 0 |
| On the Convergence Properties of Optimal AdaBoost | Dec 5, 2012 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| On the Convergence Rate of Decomposable Submodular Function Minimization | Jun 25, 2014 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| On the definition of a general learning system with user-defined operators | Nov 18, 2013 | BIG-bench Machine LearningReinforcement Learning | —Unverified | 0 | 0 |
| On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning | Jan 16, 2018 | AttributeBIG-bench Machine Learning | —Unverified | 0 | 0 |
| On The Direct Maximization of Quadratic Weighted Kappa | Sep 23, 2015 | BIG-bench Machine LearningDiabetic Retinopathy Detection | —Unverified | 0 | 0 |
| On the dissection of degenerate cosmologies with machine learning | Oct 25, 2018 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 | 0 |
| On the Effectiveness of Interpretable Feedforward Neural Network | Nov 3, 2021 | BIG-bench Machine LearningClassification | —Unverified | 0 | 0 |
| On the Effectiveness of Richardson Extrapolation in Machine Learning | Feb 7, 2020 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| On the Error of Random Fourier Features | Jun 9, 2015 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| On the Estimation of Complex Circuits Functional Failure Rate by Machine Learning Techniques | Feb 18, 2020 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| On the Ethics of Building AI in a Responsible Manner | Mar 30, 2020 | BIG-bench Machine LearningEthics | —Unverified | 0 | 0 |
| On the Evaluation of Sequential Machine Learning for Network Intrusion Detection | Jun 15, 2021 | BIG-bench Machine LearningIntrusion Detection | —Unverified | 0 | 0 |
| On the experimental feasibility of quantum state reconstruction via machine learning | Dec 17, 2020 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples | Aug 3, 2021 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| On-the-fly Closed-loop Autonomous Materials Discovery via Bayesian Active Learning | Jun 11, 2020 | Active LearningBIG-bench Machine Learning | —Unverified | 0 | 0 |
| On-the-Fly Learning in a Perpetual Learning Machine | Sep 3, 2015 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge | Dec 21, 2021 | BIG-bench Machine LearningEdge-computing | —Unverified | 0 | 0 |
| On the Functional Equivalence of TSK Fuzzy Systems to Neural Networks, Mixture of Experts, CART, and Stacking Ensemble Regression | Mar 25, 2019 | BIG-bench Machine LearningMixture-of-Experts | —Unverified | 0 | 0 |
| On the Fundamental Limits of Coded Data Shuffling for Distributed Machine Learning | Jul 11, 2018 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| On the Generalization of Stochastic Gradient Descent with Momentum | Feb 26, 2021 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| The Generalization Error of the Minimum-norm Solutions for Over-parameterized Neural Networks | Dec 15, 2019 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems | Mar 18, 2021 | BIG-bench Machine LearningDecision Making | —Unverified | 0 | 0 |
| On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing | May 1, 2022 | BIG-bench Machine LearningData Augmentation | —Unverified | 0 | 0 |
| On the Importance of 3D Surface Information for Remote Sensing Classification Tasks | Apr 26, 2021 | BIG-bench Machine LearningClassification | —Unverified | 0 | 0 |
| On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning | May 13, 2022 | BIG-bench Machine LearningFeature Engineering | —Unverified | 0 | 0 |
| On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models | Mar 12, 2021 | AttributeBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Look Who's Talking: Interpretable Machine Learning for Assessing Italian SMEs Credit Default | Aug 31, 2021 | BIG-bench Machine LearningInterpretable Machine Learning | —Unverified | 0 | 0 |
| On the Intrinsic Differential Privacy of Bagging | Aug 22, 2020 | BIG-bench Machine LearningEnsemble Learning | —Unverified | 0 | 0 |
| On the Intrinsic Limits to Representationally-Adaptive Machine-Learning | Mar 9, 2015 | BIG-bench Machine LearningTransfer Learning | —Unverified | 0 | 0 |
| On the in vivo recognition of kidney stones using machine learning | Jan 21, 2022 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization | Dec 1, 2013 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization | May 9, 2019 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| On the Machine Learning of Ethical Judgments from Natural Language | Jul 1, 2022 | BIG-bench Machine LearningDecision Making | —Unverified | 0 | 0 |
| On the Management of Type 1 Diabetes Mellitus with IoT Devices and ML Techniques | Jan 7, 2021 | BIG-bench Machine LearningCloud Computing | —Unverified | 0 | 0 |
| On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis | Jul 8, 2022 | BIG-bench Machine LearningCausal Inference | —Unverified | 0 | 0 |
| On the Performance of Machine Learning Methods for Breakthrough Curve Prediction | Apr 25, 2022 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| On the potential for open-endedness in neural networks | Dec 12, 2018 | BIG-bench Machine LearningDiversity | —Unverified | 0 | 0 |
| On the Power of Louvain in the Stochastic Block Model | Dec 1, 2020 | BIG-bench Machine LearningStochastic Block Model | —Unverified | 0 | 0 |
| On the practice of classification learning for clinical diagnosis and therapy advice in oncology | Nov 12, 2018 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 | 0 |
| On the Predictability of non-CGM Diabetes Data for Personalized Recommendation | Aug 19, 2018 | BIG-bench Machine LearningPrediction | —Unverified | 0 | 0 |
| On the Preservation of Spatio-temporal Information in Machine Learning Applications | Jun 15, 2020 | AttributeBIG-bench Machine Learning | —Unverified | 0 | 0 |
| On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches | Aug 26, 2017 | BIG-bench Machine Learningvalid | —Unverified | 0 | 0 |
| On the Reduction of Biases in Big Data Sets for the Detection of Irregular Power Usage | Jan 17, 2018 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| On the Relation between Prediction and Imputation Accuracy under Missing Covariates | Dec 9, 2021 | BIG-bench Machine LearningImputation | —Unverified | 0 | 0 |
| On the relation between statistical learning and perceptual distances | Jun 8, 2021 | BIG-bench Machine LearningPerceptual Distance | —Unverified | 0 | 0 |