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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
Multi-view Learning via Trusted Pairwise Entity Energy
AAAI 2026
Neural Collapse Priors Driven Trust Semi-Supervised Multi-View Classification
AAAI 2026
DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning
AAAI 2026
Posterior Label Smoothing for Node Classification
AAAI 2026
A Theoretical Analysis of Detecting Large Model-Generated Time Series
AAAI 2026
Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators
AAAI 2026
Quantifying and Improving Adaptivity in Conformal Prediction Through Input Transformations
AAAI 2026
Towards Better IncomLDL: We Are Unaware of Hidden Labels in Advance
AAAI 2026
Robust Detection of Synthetic Tabular Data Under Schema Variability
AAAI 2026
Collaborative Dual Representations for Semi-Supervised Partial Label Learning
AAAI 2026
Statistical Learning Theory for Distributional Classification
AAAI 2026
The Semantic Architect: How FEAML Bridges Structured Data and LLMs for Multi-Label Tasks
AAAI 2026
Coverage-Constrained Human-AI Cooperation with Multiple Experts
AAAI 2026
CAT-Net: A Cross-Attention Tone Network for Cross-Subject EEG-EMG Fusion Tone Decoding
AAAI 2026
Efficient Rule Induction by Ignoring Pointless Rules
AAAI 2026
Guess or Recall? Training CNNs to Classify and Localize Memorization in LLMs
AAAI 2026
GIER: Addressing Class Imbalance in GNNs Through Experience Replay
AAAI 2026
Rethinking Crystal Symmetry Prediction: A Decoupled Perspective
AAAI 2026
IdeFN: Identifying Unclicked Space False Negatives via Relaxed Partial Optimal Transport for Conversion Rate Prediction
AAAI 2026
Spontaneous Yet Predictable: Shapelet-Driven, Channel-Aware Intention Decoding from Multi-Region ECoG
AAAI 2026
Towards Reinforcement Learning from Neural Feedback: Mapping fNIRS Signals to Agent Performance
AAAI 2026
BAG: Benchmarking Anomaly Detection on Dynamic Graphs
AAAI 2026
Continual Out-of-Distribution Detection with Analytic Neural Collapse
AAAI 2026
GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection
AAAI 2026
OnlineBootKNN: An Unsupervised Framework for Detecting Anomalies in Spectral Data Streams
AAAI 2026
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