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Methodology
← Core Methods
Machine Learning
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Core Methods
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Metric Learning
2800 directly classified papers
Papers per year
2001: 1
2002: 1
2003: 7
2004: 7
2005: 6
2006: 14
2007: 11
2008: 10
2009: 25
2010: 21
2011: 28
2012: 35
2013: 80
2014: 54
2015: 101
2016: 85
2017: 135
2018: 154
2019: 303
2020: 257
2021: 306
2022: 290
2023: 317
2024: 242
2025: 216
2026: 94
Papers
Text-based Aerial-Ground Person Retrieval
AAAI 2026
End-to-End Contrastive Language-Speech Pretraining Model for Long-Form Spoken Question Answering
AAAI 2026
On Modality Weighting and Specificity for Multi-Modal Entity Alignment
AAAI 2026
Rethinking Visual Token Reduction in LVLMs Under Cross-Modal Misalignment
AAAI 2026
GeoPTH: A Lightweight Approach to Category-Based Trajectory Retrieval via Geometric Prototype Trajectory Hashing
AAAI 2026
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer
AAAI 2026
Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering
AAAI 2026
Ambiguity-Tolerant Cross-Modal Hashing with Partial Labels
AAAI 2026
ReTrack: Evidence-Driven Dual-Stream Directional Anchor Calibration Network for Composed Video Retrieval
AAAI 2026
Semantic-Consistent Bidirectional Contrastive Hashing for Noisy Multi-Label Cross-Modal Retrieval
AAAI 2026
UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning
AAAI 2026
Prototype-Based Semantic Consistency Alignment for Domain Adaptive Retrieval
AAAI 2026
Wasserstein-Aware Transfer: Class-Level Alignment for Robust Diffusion Model Adaptation
AAAI 2026
C-GNN-PRUNE: A Unified Graph-Based Framework for Structure-Aware Pruning of Mixture-of-Experts Models
AAAI 2026
ENHash: Error Notebook-Guided Fine-Grained Learning for Unsupervised Cross-Modal Hashing
AAAI 2026
GRIM: Task-Oriented Grasping with Conditioning on Generative Examples
AAAI 2026
Global-Lens Transformers: Adaptive Token Mixing for Dynamic Link Prediction
AAAI 2026
CAFU: Constrained Alignment and Filtered Uniformity for Denoising Recommendation
AAAI 2026
MovSemCL: Movement-Semantics Contrastive Learning for Trajectory Similarity
AAAI 2026
Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning
AAAI 2026
Codebook-Centric Deep Hashing: End-to-End Joint Learning of Semantic Hash Centers and Neural Hash Function
AAAI 2026
Geometry-Aware Noisy Correspondence Mitigation for Cross-Modal Text-Based Person Retrieval
AAAI 2026
Enhancing Noise Resilience in Face Clustering via Sparse Differential Transformer
AAAI 2026
Noisy Correspondence Learning with Modality Gap Direction Correction
AAAI 2026
Learning with Structure: Computing Consistent Subsets on Structurally-Regular Graphs
AAAI 2026
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