SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5426–5450 of 10033 papers

TitleStatusHype
On Calibration Neural Networks for extracting implied information from American options—0
On Choice of Hyper-parameter in Extreme Value Theory based on Machine Learning Techniques—0
On Combining Machine Learning with Decision Making—0
On Communication Complexity of Classification Problems—0
On conditional parity as a notion of non-discrimination in machine learning—0
OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations—0
On Connecting Stochastic Gradient MCMC and Differential Privacy—0
On Connections between Regularizations for Improving DNN Robustness—0
On Consequentialism and Fairness—0
On Continuous Integration / Continuous Delivery for Automated Deployment of Machine Learning Models using MLOps—0
On Defending Against Label Flipping Attacks on Malware Detection Systems—0
On Designing Machine Learning Models for Malicious Network Traffic Classification—0
On-device Federated Learning with Flower—0
On-Device Machine Learning: An Algorithms and Learning Theory Perspective—0
On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization—0
One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency—0
On Efficient Retrieval of Top Similarity Vectors—0
One model per entity: using hundreds of machine learning models to recognize and normalize biomedical names in text—0
On Ensuring that Intelligent Machines Are Well-Behaved—0
One-Shot Generalization in Deep Generative Models—0
Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models—0
One-vs.-One Mitigation of Intersectional Bias: A General Method to Extend Fairness-Aware Binary Classification—0
On Explaining Machine Learning Models by Evolving Crucial and Compact Features—0
On exponential convergence of SGD in non-convex over-parametrized learning—0
On fast approximate submodular minimization—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified