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Methodology
← Learning Types
Machine Learning
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Learning Types
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Classification
1251 directly classified papers
Papers per year
2000: 1
2001: 1
2003: 2
2004: 1
2005: 1
2006: 18
2007: 9
2008: 14
2009: 7
2010: 12
2011: 10
2012: 26
2013: 22
2014: 29
2015: 21
2016: 28
2017: 57
2018: 66
2019: 92
2020: 110
2021: 139
2022: 148
2023: 164
2024: 142
2025: 130
2026: 1
Papers
The MASCFLICHT Corpus: Face Mask Type and Coverage Area Recognition from Speech
INTERSPEECH 2023
Severity Classification of Parkinson's Disease from Speech using Single Frequency Filtering-based Features
INTERSPEECH 2023
Alzheimer Disease Classification through ASR-based Transcriptions: Exploring the Impact of Punctuation and Pauses
INTERSPEECH 2023
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes
AAAI 2023
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference
AAAI 2023
Interpolating Graph Pair to Regularize Graph Classification
AAAI 2023
Regression as Classification: Influence of Task Formulation on Neural Network Features
AISTATS 2023
Inducing Neural Collapse in Deep Long-tailed Learning
AISTATS 2023
Synthetic Voice Spoofing Detection based on Feature Pyramid Conformer
INTERSPEECH 2023
Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective
AAAI 2023
On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data
AISTATS 2023
Precision/Recall on Imbalanced Test Data
AISTATS 2023
Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels
IJCAI 2023
Consistent Complementary-Label Learning via Order-Preserving Losses
AISTATS 2023
Density Ratio Estimation and Neyman Pearson Classification with Missing Data
AISTATS 2023
Efficient and Accurate Learning of Mixtures of Plackett-Luce Models
AAAI 2023
Predictive Multiplicity in Probabilistic Classification
AAAI 2023
AUC-based Selective Classification
AISTATS 2023
Who Should Predict? Exact Algorithms For Learning to Defer to Humans
AISTATS 2023
Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification
ICCV 2023
Learning to Defer with Limited Expert Predictions
AAAI 2023
On the Stability and Generalization of Triplet Learning
AAAI 2023
Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods
AAAI 2023
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition
ICCV 2023
Learning Deep Hierarchical Features with Spatial Regularization for One-Class Facial Expression Recognition
AAAI 2023
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