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Machine Learning

132,800 papers (10 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Learning Types (56,253) Core Methods (51,083) Optimization & Theory (43,292) Application Areas (34,437) Bayesian & Probabilistic (4,733) Learning Paradigms (2,205)

Papers per year

5
76
533
1,651
11,133
21,167
2000
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'25

Papers (including subtopics)

Complex Mathematical Expression Recognition: Benchmark, Large-Scale Dataset and Strong Baseline AAAI 2026 Composable Assurance for AI Alignment: A Framework for Propagating Formal Safety Properties Through MLOps AAAI 2026 Composite Graphical Causal Models for Inference on Heterogeneous-Indexed Data CLeaR 2026 Compositional Attribute Imbalance in Vision Datasets AAAI 2026 Compositional Reasoning via Joint Image and Language Decomposition EACL 2026 Composition-Incremental Learning for Compositional Generalization AAAI 2026 Comprehensive Urban Region Representation Learning via Multi-View Joint Learning and Contrastive Learning AAAI 2026 Compressed-Domain-Aware Online Video Super-Resolution CVPR 2026 Compressibility Barriers to Neighborhood-Preserving Data Visualization ALT 2026 Compressing Language Models for Specialized Domains EACL 2026 Compress-then-Rank: Faster and Better Listwise Reranking with Large Language Models via Ranking-Aware Passage Compression AAAI 2026 CompRestacking: Capturing Channel Dependency in Highly Correlated Multivariate Time Series Data (Student Abstract) AAAI 2026 Computer Vision Modeling of the Development of Geometric and Numerical Concepts in Humans AAAI 2026 Computing Lewis weights to high precision using local relative smoothness COLT 2026 Conceptual Cultural Index: A Metric for Cultural Specificity via Relative Generality EACL 2026 Conceptualisation and Implementation of Human-centric Privacy Preserving Framework for Explainable AI AAAI 2026 CONCORD: Concept-Informed Diffusion for Dataset Distillation WACV 2026 Condensed Data Expansion Using Model Inversion for Knowledge Distillation AAAI 2026 Conditional Diffusion Model for Multi-Agent Dynamic Task Decomposition AAAI 2026 Conditional Diffusion Models for Imbalanced Tabular Regression UAI 2026 Conditional Distribution Learning for Graph Classification AAAI 2026 Conditional Information Bottleneck for Multimodal Fusion: Overcoming Shortcut Learning in Sarcasm Detection AAAI 2026 Conditional Prompt Learning via Degradation Perception for Underwater Image Enhancement AAAI 2026 ConeSep: Cone-based Robust Noise-Unlearning Compositional Network for Composed Image Retrieval CVPR 2026 Confidence-Calibrated Small-Large Language Model Collaboration for Cost-Efficient Reasoning EACL 2026