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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 6876–6900 of 10033 papers

TitleStatusHype
E-LSTM at SemEval-2019 Task 3: Semantic and Sentimental Features Retention for Emotion Detection in Text—0
Towards the Data-driven System for Rhetorical Parsing of Russian Texts—0
The R2I\_LIS Team Proposes Majority Vote for VarDial's MRC Task—0
RGCL-WLV at SemEval-2019 Task 12: Toponym Detection—0
UPV-28-UNITO at SemEval-2019 Task 7: Exploiting Post's Nesting and Syntax Information for Rumor Stance Classification—0
Nikolov-Radivchev at SemEval-2019 Task 6: Offensive Tweet Classification with BERT and Ensembles—0
Polynomial Representation for Persistence Diagram—0
SSN\_NLP at SemEval-2019 Task 6: Offensive Language Identification in Social Media using Traditional and Deep Machine Learning Approaches—0
Neural Models of Text Normalization for Speech Applications—0
Team Taurus at SemEval-2019 Task 9: Expert-informed pattern recognition for suggestion mining—0
Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation—0
Transferable AutoML by Model Sharing Over Grouped Datasets—0
Evaluating Memento Service Optimizations—0
Fast Online "Next Best Offers" using Deep Learning—0
Real-Time Adversarial AttacksCode0
Influences in Forecast Errors for Wind and Photovoltaic Power: A Study on Machine Learning Models—0
Knowledge-augmented Column Networks: Guiding Deep Learning with Advice—0
Data-driven Algorithm Selection and Parameter Tuning: Two Case studies in Optimization and Signal Processing—0
Do Human Rationales Improve Machine Explanations?—0
IoT Network Security from the Perspective of Adversarial Deep Learning—0
Regularizing Black-box Models for Improved Interpretability (HILL 2019 Version)—0
GENO -- GENeric Optimization for Classical Machine Learning—0
Transient-evoked otoacoustic emission signals predicting outcomes of acute sensorineural hearing loss in patients with Meniere's Disease—0
Complex-valued neural networks for machine learning on non-stationary physical dataCode0
A New Multilabel System for Automatic Music Emotion Recognition—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified