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Core Methods

51,083 papers (8 classified directly here)

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

Representation Learning (22,308) Classification (15,497) Regression (5,281) Clustering (3,809) Embedding Learning (3,795) Metric Learning (2,938) Graph Neural Networks (1,211) Graphical Models (1,093) Feature Learning (891) Kernel Methods (795) Dimensionality Reduction (780) Interpretability (512) Feature Selection (511) Matrix Factorization (408) Ranking (315) Ensemble Methods (300) Support Vector Machine (295) Anomaly Detection (281) Sequence Modeling (244) Structured Prediction (237) Sequence Labeling (157) Topic Modeling (150) Sparse Coding (140) Matrix Completion (131) Neural Networks (114) Retrieval (105) Density Estimation (104) Estimation (83) Inference (56) Decision Tree (50) Feature Extraction (40) Model Selection (39) Prediction (35) Information Extraction (7)

Papers per year

4
51
357
966
4,853
5,823
2000
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Papers (including subtopics)

Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation AAAI 2026 Learning to Curate Context: Jointly Optimizing Retrieval and Prediction for Multimodal Social Media Popularity AAAI 2026 Learning to Disentangle Latent Reasoning Rules with Language VAEs: A Systematic Study AAAI 2026 Learning to Ideate for Machine Learning Engineering Agents EACL 2026 Learning Topology-Driven Multi-Subspace Fusion for Grassmannian Deep Networks AAAI 2026 Learning to Rank: How GNNs Solve Max-Clique and Sparse PCA AAAI 2026 Learning to Select: Query-Aware Adaptive Dimension Selection for Dense Retrieval ACL 2026 Learning Whom to Align With: Progressive Anomaly Combination Detection for Partially View-Aligned Clustering AAAI 2026 Learning with Preserving for Continual Multitask Learning AAAI 2026 Learning with Structure: Computing Consistent Subsets on Structurally-Regular Graphs AAAI 2026 Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction AAAI 2026 Less is More: Adapting Text Embeddings for Low-Resource Languages with Small Scale Noisy Synthetic Data EACL 2026 Let the Model Learn to Feel: Mode-Guided Tonality Injection for Symbolic Music Emotion Recognition AAAI 2026 Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels AAAI 2026 Lexical Popularity: Quantifying the Impact of Pre-training for LLM Performance EACL 2026 Lightweight Additive Blend Maps for Texture-Preserving Face Retouching: A Neural Approach to Traditional Photographic Techniques AAAI 2026 Limiting Over-Smoothing and Over-Squashing of Graph Message Passing by Deep Scattering Transforms JMLR 2026 Linear Regression with Heteroskedastic Errors UAI 2026 Linear Time Algorithms for Individually Fair k-means via Multi-Swap Local Search AAAI 2026 LingGen: Scalable Multi-Attribute Linguistic Control via Power-Law Masking EACL 2026 Linguistic Blind Spots in Clinical Decision Extraction EACL 2026 LinProVSR: Linguistics-Knowledge Guided Progressive Disambiguation Network for Visual Speech Recognition AAAI 2026 LiteGE: Lightweight Geodesic Embedding for Efficient Geodesics Computation and Non-Isometric Shape Correspondence AAAI 2026 LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning CVPR 2026 LLaVA-UHD v2: Exploiting Hierarchical Vision Granularity in MLLMs via Inverse Semantic Pyramid AAAI 2026