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Supervised Learning

988 directly classified papers

Papers per year

Papers

Data-Driven System Level Synthesis L4DC 2021
FAST: Fast Annotation tool for SmarT devices EMNLP 2021
A Unified Framework for Random Forest Prediction Error Estimation JMLR 2021
The Contour to Classification Game AAAI 2021
Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins ICML 2021
Estimation and Optimization of Composite Outcomes JMLR 2021
Towards Understanding Learning in Neural Networks with Linear Teachers ICML 2021
Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning CVPR 2021
fBERT: A Neural Transformer for Identifying Offensive Content EMNLP 2021
Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations ICML 2021
macech at SemEval-2021 Task 5: Toxic Spans Detection IJCNLP 2021
Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents IJCNLP 2021
SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles IJCNLP 2021
Ruddit: Norms of Offensiveness for English Reddit Comments IJCNLP 2021
Modeling Language Usage and Listener Engagement in Podcasts IJCNLP 2021
Simple or Complex? Learning to Predict Readability of Bengali Texts AAAI 2021
Optimizing an Automatic Creaky Voice Detection Method for Australian English Speaking Females INTERSPEECH 2021
Rethinking the Objectives of Extractive Question Answering EMNLP 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
hub at SemEval-2021 Task 5: Toxic Span Detection Based on Word-Level Classification ACL 2021
CSECU-DSG at SemEval-2021 Task 6: Orchestrating Multimodal Neural Architectures for Identifying Persuasion Techniques in Texts and Images ACL 2021
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks ICML 2021
Fast margin maximization via dual acceleration ICML 2021
NGC: A Unified Framework for Learning With Open-World Noisy Data ICCV 2021