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← Learning Types
Machine Learning
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Learning Types
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Supervised Learning
988 directly classified papers
Papers per year
2001: 3
2003: 5
2004: 5
2005: 1
2006: 19
2007: 20
2008: 10
2009: 10
2010: 16
2011: 18
2012: 29
2013: 32
2014: 29
2015: 21
2016: 25
2017: 67
2018: 45
2019: 40
2020: 75
2021: 98
2022: 83
2023: 86
2024: 131
2025: 120
Papers
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
AAAI 2024
Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis
WACV 2024
Automated Sperm Assessment Framework and Neural Network Specialized for Sperm Video Recognition
WACV 2024
ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning
AAAI 2024
On the Importance of Large Objects in CNN Based Object Detection Algorithms
WACV 2024
Detecting Content Segments From Online Sports Streaming Events: Challenges and Solutions
WACV 2024
An Empirical Investigation Into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image Classification
WACV 2024
Hybrid Sample Synthesis-Based Debiasing of Classifier in Limited Data Setting
WACV 2024
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
CVPR 2024
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation
AAAI 2024
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees
AAAI 2024
Robust Loss Functions for Training Decision Trees with Noisy Labels
AAAI 2024
DeRDaVa: Deletion-Robust Data Valuation for Machine Learning
AAAI 2024
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation
AAAI 2024
Feature Fusion from Head to Tail for Long-Tailed Visual Recognition
AAAI 2024
Influential Exemplar Replay for Incremental Learning in Recommender Systems
AAAI 2024
Regroup Median Loss for Combating Label Noise
AAAI 2024
Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction
AAAI 2024
Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured Data
EMNLP 2024
DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction
AAAI 2024
MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection
SEMEVAL 2024
AIpom at SemEval-2024 Task 8: Detecting AI-produced Outputs in M4
SEMEVAL 2024
PEAR at SemEval-2024 Task 1: Pair Encoding with Augmented Re-sampling for Semantic Textual Relatedness
SEMEVAL 2024
Deja Vu at SemEval 2024 Task 9: A Comparative Study of Advanced Language Models for Commonsense Reasoning
SEMEVAL 2024
IASBS at SemEval-2024 Task 10: Delving into Emotion Discovery and Reasoning in Code-Mixed Conversations
SEMEVAL 2024
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