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Supervised Learning

989 papers

Papers per year

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Papers

Modeling Language Usage and Listener Engagement in Podcasts IJCNLP 2021
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection IJCNLP 2021
Ruddit: Norms of Offensiveness for English Reddit Comments IJCNLP 2021
SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles IJCNLP 2021
Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents IJCNLP 2021
macech at SemEval-2021 Task 5: Toxic Spans Detection IJCNLP 2021
Optimizing an Automatic Creaky Voice Detection Method for Australian English Speaking Females INTERSPEECH 2021
A Unified Framework for Random Forest Prediction Error Estimation JMLR 2021
Finite-sample Analysis of Interpolating Linear Classifiers in the Overparameterized Regime JMLR 2021
When Does Gradient Descent with Logistic Loss Find Interpolating Two-Layer Networks? JMLR 2021
Estimation and Optimization of Composite Outcomes JMLR 2021
Data-Driven System Level Synthesis L4DC 2021
Learning Recurrent Neural Net Models of Nonlinear Systems L4DC 2021
Classification of COVID19 tweets using Machine Learning Approaches NAACL 2021
Learning about Word Vector Representations and Deep Learning through Implementing Word2vec NAACL 2021
Naive Bayes versus BERT: Jupyter notebook assignments for an introductory NLP course NAACL 2021
Learning How To Learn NLP: Developing Introductory Concepts Through Scaffolded Discovery NAACL 2021
GTN-ED: Event Detection Using Graph Transformer Networks NAACL 2021
Accountable Error Characterization NAACL 2021
Debiasing Averaged Stochastic Gradient Descent to handle missing values NIPS 2020
Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction NIPS 2020
Learning with Unsure Responses AAAI 2020
Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions AAAI 2020
Active Learning in the Geometric Block Model AAAI 2020
Stochastic Loss Function AAAI 2020