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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
Classifier-induced Reciprocal Points for Multi-label Open-set Recognition
AAAI 2026
Conditional Information Bottleneck for Multimodal Fusion: Overcoming Shortcut Learning in Sarcasm Detection
AAAI 2026
SSHPool: The Separated Subgraph-based Hierarchical Pooling
AAAI 2026
Bayes-Optimal Fair Classification with Multiple Sensitive Features
AAAI 2026
Binary Split Categorical Feature with Mean Absolute Error Criteria in CART
AAAI 2026
S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning
AAAI 2026
Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models
AAAI 2026
Beyond Fixed Depth: Adaptive Graph Neural Networks for Node Classification Under Varying Homophily
AAAI 2026
Learning Latent Imaging Biomarkers for Interpretable Microvascular Invasion Prediction in Hepatocellular Carcinoma
AAAI 2026
Jump-teaching: Combating Sample Selection Bias via Temporal Disagreement
AAAI 2026
Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds
AAAI 2026
Multi-Label Classification with Incremental and Decremental Features
AAAI 2026
Prototype-Guided Supervision for Graph Learning with Noisy and Sparse Labels
AAAI 2026
Can Pseudo-Label Be More Reliable? A Simple yet Effective Topology-Aware Graph Self-Training Method
AAAI 2026
Conformal Prediction Meets Long-tail Classification
AAAI 2026
DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices
AAAI 2026
RankList – a Listwise Preference Learning Framework for Predicting Subjective Preferences
AAAI 2026
A Graph-Augmented Liquid Neural Network for Extracting Food Hazards and Disease Outbreaks
EACL 2026
Studying Expert-ese: Profiling and Classification of Domain-Specific Language Variation in Architecture with Traditional Machine Learning and LLMs
EACL 2026
Modeling Linguistic Imprints of War Propaganda in a Russian Wikipedia Fork: A Comparative Analysis with the Original Wikipedia
EACL 2026
Grammatical Error Correction for Low-Resource Languages: The Case of Zarma
EACL 2026
MWE-2026 Shared Task: AdMIRe 2 Advancing Multimodal Idiomaticity Representation
EACL 2026
Generalizing Analogical Inference from Boolean to Continuous Domains
AAAI 2026
Adaptive and Asymptotic Mean-based Subclass Discriminant Analysis
AAAI 2026
EdgeMTSC: A Lightweight Large-Kernel ConvNet for Multivariate Time Series Classification
AAAI 2026
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