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Methodology
← Core Methods
Machine Learning
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Core Methods
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Classification
15289 directly classified papers
Papers per year
2000: 2
2001: 14
2002: 21
2003: 28
2004: 28
2005: 26
2006: 94
2007: 93
2008: 90
2009: 93
2010: 134
2011: 112
2012: 160
2013: 290
2014: 239
2015: 258
2016: 456
2017: 682
2018: 1145
2019: 1500
2020: 1638
2021: 1667
2022: 1636
2023: 1685
2024: 1600
2025: 1313
2026: 285
Papers
Attention-based Conditional Random Field for Financial Fraud Detection
IJCAI 2025
ALLVB: All-in-One Long Video Understanding Benchmark
AAAI 2025
What is Beneath Misogyny: Misogynous Memes Classification and Explanation
IJCAI 2025
LiON: Learning Point-Wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data
AAAI 2025
Graph Neural Networks for Databases: A Survey
IJCAI 2025
Structure Modeling Approach for UD Parsing of Historical Modern Japanese
ACL 2025
Multi-label Self Knowledge Distillation
AAAI 2025
From RAG to Reality: Coarse-Grained Hallucination Detection via NLI Fine-Tuning
ACL 2025
Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels
AAAI 2025
GraphTranslate: Predicting Clinical Trial Translation using Graph Neural Networks on Biomedical Literature
ACL 2025
Mixture-of-Attack-Experts with Class Regularization for Unified Physical-Digital Face Attack Detection
AAAI 2025
DLSU at BEA 2025 Shared Task: Towards Establishing Baseline Models for Pedagogical Response Evaluation Tasks
ACL 2025
Temporal Action Localization with Cross Layer Task Decoupling and Refinement
AAAI 2025
Optimal Classification Trees for Continuous Feature Data Using Dynamic Programming with Branch-and-Bound
AAAI 2025
CUGF: A Reliable and Fair Recommendation Framework
AAAI 2025
Neighborhood-Aware Negative Sampling for Student Knowledge and Behavior Modeling
AAAI 2025
Optimal and Efficient Binary Questioning for Accelerated Annotation
AAAI 2025
Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning
AAAI 2025
Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning
AAAI 2025
Scalable Acceleration for Classification-Based Derivative-Free Optimization
AAAI 2025
T-MDML: Triplet-based Multiple Distance Metric Learning for Multi-Instance Multi-Label Classification with Label Correlation
AAAI 2025
Team INSAntive at SemEval-2025 Task 10: Hierarchical Text Classification using BERT
SEMEVAL 2025
Enhancing Training Data Quality through Influence Scores for Generalizable Classification: A Case Study on Sexism Detection
IJCNLP 2025
Extracting PAC Decision Trees from Black Box Binary Classifiers: The Gender Bias Study Case on BERT-based Language Models
AAAI 2025
Amado at SemEval-2025 Task 11: Multi-label Emotion Detection in Amharic and English Data
ACL 2025
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