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Supervised Learning

988 directly classified papers

Papers per year

Papers

A Second-Order Approach to Learning With Instance-Dependent Label Noise CVPR 2021
Gradient-Based Algorithms for Machine Teaching CVPR 2021
Learning with Group Noise AAAI 2021
Imprecise Oracles Impose Limits to Predictability in Supervised Learning (Extended Abstract) IJCAI 2021
Simple or Complex? Learning to Predict Readability of Bengali Texts AAAI 2021
Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions AAAI 2021
Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances AAAI 2021
DUTH at SemEval-2021 Task 7: Is Conventional Machine Learning for Humorous and Offensive Tasks enough in 2021? ACL 2021
NGC: A Unified Framework for Learning With Open-World Noisy Data ICCV 2021
Fast margin maximization via dual acceleration ICML 2021
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks ICML 2021
Complex words identification using word-level features for SemEval-2020 Task 1 ACL 2021
Optimizing an Automatic Creaky Voice Detection Method for Australian English Speaking Females INTERSPEECH 2021
Learning Branching Heuristics for Propositional Model Counting AAAI 2021
The Contour to Classification Game AAAI 2021
Accountable Error Characterization NAACL 2021
SemEval-2021 Task 5: Toxic Spans Detection ACL 2021
NLP_UIOWA at Semeval-2021 Task 5: Transferring Toxic Sets to Tag Toxic Spans ACL 2021
Hate Speech Detection in Saudi Twittersphere: A Deep Learning Approach COLING 2020
Supervised Learning with Background Knowledge PGM 2020
Linear Antisymmetric Recurrent Neural Networks L4DC 2020
NeurOpt: Neural network based optimization for building energy management and climate control L4DC 2020
Parameter Optimization for Learning-based Control of Control-Affine Systems L4DC 2020
Encoding Physical Constraints in Differentiable Newton-Euler Algorithm L4DC 2020
Chinese Content Scoring: Open-Access Datasets and Features on Different Segmentation Levels AACL 2020