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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 3901–3950 of 10033 papers

TitleStatusHype
Automatic Discovery of Heterogeneous Machine Learning Pipelines: An Application to Natural Language Processing—0
Toward Accurate Platform-Aware Performance Modeling for Deep Neural Networks—0
Automatically Predicting Judgement Dimensions of Human Behaviour—0
Evaluating (weighted) dynamic treatment effects by double machine learning—0
Demo Application for the AutoGOAL Framework—0
Improving Online Rent-or-Buy Algorithms with Sequential Decision Making and ML Predictions—0
A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning—0
Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and Explainable Automatic Recruitment—0
TAC at SemEval-2020 Task 12: Ensembling Approach for Multilingual Offensive Language Identification in Social MediaCode0
Decentralized Langevin Dynamics for Bayesian Learning—0
Decentralized Accelerated Proximal Gradient Descent—0
WORD SENSE DISAMBIUATION FOR KASHMIRI LANGUAGE USING SUPERVISED MACHINE LEARNING—0
A machine-learning based model to identify PhD-level skills in job ads—0
Transfer learning to enhance amenorrhea status prediction in cancer and fertility data with missing values—0
Intent Segmentation of User Queries Via Discourse Parsing—0
A Deep Generative Approach to Native Language Identification—0
Model-agnostic Methods for Text Classification with Inherent Noise—0
Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence—0
Interpretation of Sentiment Analysis in Aeschylus’s Greek Tragedy—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
TransMIA: Membership Inference Attacks Using Transfer Shadow Training—0
HydroNet: Benchmark Tasks for Preserving Intermolecular Interactions and Structural Motifs in Predictive and Generative Models for Molecular Data—0
Human vs. supervised machine learning: Who learns patterns faster?—0
Automating Artifact Detection in Video GamesCode0
Why model why? Assessing the strengths and limitations of LIMECode0
Double machine learning for sample selection models—0
Gradient Sparsification Can Improve Performance of Differentially-Private Convex Machine Learning—0
Prior and Prejudice: The Novice Reviewers' Bias against Resubmissions in Conference Peer Review—0
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series—0
Applied Machine Learning for Games: A Graduate School Course—0
Machine learning spatio-temporal epidemiological model to evaluate Germany-county-level COVID-19 risk—0
Twitter Spam Detection: A Systematic Review—0
Dank or Not? -- Analyzing and Predicting the Popularity of Memes on RedditCode0
Short-Term Flow-Based Bandwidth Forecasting using Machine Learning—0
Exoplanet Detection using Machine LearningCode0
A Backward SDE Method for Uncertainty Quantification in Deep Learning—0
Convening during COVID-19: Lessons learnt from organizing virtual workshops in 2020—0
Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video ProcessingCode0
Multidimensional Persistence Module Classification via Lattice-Theoretic Convolutions—0
Reducing Discrimination in Learning Algorithms for Social Good in Sociotechnical Systems—0
Machine Learning to study the impact of gender-based violence in the news media—0
CASTELO: Clustered Atom Subtypes aidEd Lead Optimization -- a combined machine learning and molecular modeling method—0
Fast IR Drop Estimation with Machine Learning—0
Estimator Model for Prediction of Power Output of Wave Farms Using Machine Learning Methods—0
Hawkes Processes Modeling, Inference and Control: An Overview—0
Automatic coding of students' writing via Contrastive Representation Learning in the Wasserstein space—0
Towards Interpretable Multilingual Detection of Hate Speech against Immigrants and Women in Twitter at SemEval-2019 Task 5—0
FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning—0
Transfer Learning for Aided Target Recognition: Comparing Deep Learning to other Machine Learning Approaches—0
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Benchmark Results

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