SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 55015550 of 10033 papers

TitleStatusHype
End-To-End Bias Mitigation: Removing Gender Bias in Deep Learning0
On the Bounds of Function Approximations0
On the Challenges of Detecting Rude Conversational Behaviour0
On the complexity of the optimal transport problem with graph-structured cost0
On the Computability of AIXI0
On the Convergence Properties of Optimal AdaBoost0
On the Convergence Rate of Decomposable Submodular Function Minimization0
On the definition of a general learning system with user-defined operators0
On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning0
On The Direct Maximization of Quadratic Weighted Kappa0
On the dissection of degenerate cosmologies with machine learning0
On the Effectiveness of Interpretable Feedforward Neural Network0
On the Effectiveness of Richardson Extrapolation in Machine Learning0
On the Error of Random Fourier Features0
On the Estimation of Complex Circuits Functional Failure Rate by Machine Learning Techniques0
On the Ethics of Building AI in a Responsible Manner0
On the Evaluation of Sequential Machine Learning for Network Intrusion Detection0
On the experimental feasibility of quantum state reconstruction via machine learning0
On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples0
On-the-fly Closed-loop Autonomous Materials Discovery via Bayesian Active Learning0
On-the-Fly Learning in a Perpetual Learning Machine0
On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge0
On the Functional Equivalence of TSK Fuzzy Systems to Neural Networks, Mixture of Experts, CART, and Stacking Ensemble Regression0
On the Fundamental Limits of Coded Data Shuffling for Distributed Machine Learning0
On the Generalization of Stochastic Gradient Descent with Momentum0
The Generalization Error of the Minimum-norm Solutions for Over-parameterized Neural Networks0
On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems0
On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing0
On the Importance of 3D Surface Information for Remote Sensing Classification Tasks0
On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning0
On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models0
Look Who's Talking: Interpretable Machine Learning for Assessing Italian SMEs Credit Default0
On the Intrinsic Differential Privacy of Bagging0
On the Intrinsic Limits to Representationally-Adaptive Machine-Learning0
On the in vivo recognition of kidney stones using machine learning0
On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization0
On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization0
On the Machine Learning of Ethical Judgments from Natural Language0
On the Management of Type 1 Diabetes Mellitus with IoT Devices and ML Techniques0
On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis0
On the Performance of Machine Learning Methods for Breakthrough Curve Prediction0
On the potential for open-endedness in neural networks0
On the Power of Louvain in the Stochastic Block Model0
On the practice of classification learning for clinical diagnosis and therapy advice in oncology0
On the Predictability of non-CGM Diabetes Data for Personalized Recommendation0
On the Preservation of Spatio-temporal Information in Machine Learning Applications0
On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches0
On the Reduction of Biases in Big Data Sets for the Detection of Irregular Power Usage0
On the Relation between Prediction and Imputation Accuracy under Missing Covariates0
On the relation between statistical learning and perceptual distances0
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Benchmark Results

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