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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3901–3925 of 10033 papers

TitleStatusHype
Automatically Predicting Judgement Dimensions of Human Behaviour—0
Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence—0
Evaluating (weighted) dynamic treatment effects by double machine learning—0
Generating Varied Training Corpora in Runyankore Using a Combined Semantic and Syntactic, Pattern-Grammar-based Approach—0
Toward Accurate Platform-Aware Performance Modeling for Deep Neural Networks—0
TAC at SemEval-2020 Task 12: Ensembling Approach for Multilingual Offensive Language Identification in Social MediaCode0
Demo Application for the AutoGOAL Framework—0
Towards a Universal Features Set for IoT Botnet Attacks Detection—0
A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning—0
Decentralized Langevin Dynamics for Bayesian Learning—0
Decentralized Accelerated Proximal Gradient Descent—0
A machine-learning based model to identify PhD-level skills in job ads—0
Scalable Belief Propagation via Relaxed Scheduling—0
Intent Segmentation of User Queries Via Discourse Parsing—0
A Deep Generative Approach to Native Language Identification—0
On the Power of Louvain in the Stochastic Block Model—0
CoLi at UdS at SemEval-2020 Task 12: Offensive Tweet Detection with Ensembling—0
Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier with Application to Real-Time Information Filtering on the Web—0
Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and Explainable Automatic Recruitment—0
Transfer learning to enhance amenorrhea status prediction in cancer and fertility data with missing values—0
WORD SENSE DISAMBIUATION FOR KASHMIRI LANGUAGE USING SUPERVISED MACHINE LEARNING—0
Gradient Sparsification Can Improve Performance of Differentially-Private Convex Machine Learning—0
HydroNet: Benchmark Tasks for Preserving Intermolecular Interactions and Structural Motifs in Predictive and Generative Models for Molecular Data—0
Automating Artifact Detection in Video GamesCode0
Double machine learning for sample selection models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified