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Methodology
← Core Methods
Machine Learning
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Core Methods
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Representation Learning
18863 directly classified papers
Papers per year
2000: 2
2001: 4
2002: 2
2003: 18
2004: 4
2005: 9
2006: 62
2007: 61
2008: 74
2009: 73
2010: 96
2011: 103
2012: 131
2013: 283
2014: 255
2015: 295
2016: 426
2017: 691
2018: 1066
2019: 1798
2020: 1830
2021: 2207
2022: 2109
2023: 2560
2024: 2177
2025: 1926
2026: 601
Papers
QuanTaxo: A Quantum Approach to Self-Supervised Taxonomy Expansion
AAAI 2026
Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models
AAAI 2026
Latent Self-Consistency for Reliable Majority-Set Selection in Short- and Long-Answer Reasoning
AAAI 2026
Multi-knowledge Enhanced Graph Neural Network for Multi-trait Essay Scoring
AAAI 2026
Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning
AAAI 2026
BiHiTo: Biomolecular Hierarchy-inspired Tokenization
AAAI 2026
ITPP: Learning Disentangled Event Dynamics in Marked Temporal Point Processes
AAAI 2026
Dual-Horizon Interest Model for Unified Search and Recommendation
AAAI 2026
QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation
AAAI 2026
Hierarchical Semantic Alignment for Image Clustering
AAAI 2026
MPAS: Breaking Sequential Constraints of Multi-Agent Communication Topologies via Individual-Epistemic Message Propagation
AAAI 2026
SCIR: A Self-Correcting Iterative Refinement Framework for Enhanced Information Extraction Based on Schema
AAAI 2026
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning
AAAI 2026
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders
AAAI 2026
MoSE: Hierarchical Self-Distillation Enhances Early Layer Embeddings
AAAI 2026
Multi-granularity Interactive Attention Framework for Residual Hierarchical Pronunciation Assessment
AAAI 2026
RoSE: A Role Correlation Structure-Enhanced Model for Multi-Event Argument Extraction
AAAI 2026
Positional Bias in Multimodal Embedding Models: Do They Favor the Beginning, the Middle, or the End?
AAAI 2026
Unifying Multi-View Knowledge for Graph Learning via Model Collaboration
AAAI 2026
MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion
AAAI 2026
DMCAR: Disentangled Mixture-of-Experts with Context-Aware Routing for Multi-View Clustering
AAAI 2026
Multi-modal Dynamic Proxy Learning for Personalized Multiple Clustering
AAAI 2026
FuseMine: Robust Multi-Modal Compound-Protein Interaction Prediction via Differential Attention Feature Mining
AAAI 2026
Equivariant Atomic and Lattice Modeling Using Geometric Deep Learning for Crystal Structure Optimization
AAAI 2026
Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation
AAAI 2026
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