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Supervised Learning

989 papers

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Papers

“Something Something Hota Hai!” An Explainable Approach towards Sentiment Analysis on Indian Code-Mixed Data EMNLP 2021
Multilingual Sequence Labeling Approach to solve Lexical Normalization EMNLP 2021
Sesame Street to Mount Sinai: BERT-constrained character-level Moses models for multilingual lexical normalization EMNLP 2021
Online Continual Learning With Natural Distribution Shifts: An Empirical Study With Visual Data ICCV 2021
NGC: A Unified Framework for Learning With Open-World Noisy Data ICCV 2021
Better Aggregation in Test-Time Augmentation ICCV 2021
Learn To Cluster Faces via Pairwise Classification ICCV 2021
BN-NAS: Neural Architecture Search With Batch Normalization ICCV 2021
FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters ICCV 2021
Self-Knowledge Distillation With Progressive Refinement of Targets ICCV 2021
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks ICCV 2021
Robustness via Cross-Domain Ensembles ICCV 2021
Influence-Balanced Loss for Imbalanced Visual Classification ICCV 2021
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks ICML 2021
Locally Adaptive Label Smoothing Improves Predictive Churn ICML 2021
Machine Unlearning for Random Forests ICML 2021
Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins ICML 2021
Discriminative Complementary-Label Learning with Weighted Loss ICML 2021
Fast margin maximization via dual acceleration ICML 2021
Learning Deep Neural Networks under Agnostic Corrupted Supervision ICML 2021
Explanations for Monotonic Classifiers. ICML 2021
Towards Understanding Learning in Neural Networks with Linear Teachers ICML 2021
Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations ICML 2021
Learning from Noisy Labels with No Change to the Training Process ICML 2021
Imprecise Oracles Impose Limits to Predictability in Supervised Learning (Extended Abstract) IJCAI 2021