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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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'25

Papers (including subtopics)

DiaMond: Dementia Diagnosis with Multi-Modal Vision Transformers using MRI and PET WACV 2025 DiCA: Disambiguated Contrastive Alignment for Cross-Modal Retrieval with Partial Labels AAAI 2025 DICE: Structured Reasoning in LLMs through SLM-Guided Chain-of-Thought Correction EMNLP 2025 Did the Writer Actually Visit the Location? Analysis of Location Reviews from Visit Experience IJCNLP 2025 Diff2I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior ICCV 2025 Diffeomorphism-based feature learning using Poincaré inequalities on augmented input space JMLR 2025 DIFFER: Disentangling Identity Features via Semantic Cues for Clothes-Changing Person Re-ID CVPR 2025 Difference-of-submodular Bregman Divergence ICLR 2025 Differentiable K-means for Fully-optimized Discrete Token-based ASR Interspeech 2025 Differentiable Optimization of Similarity Scores Between Models and Brains ICLR 2025 Differentiable Rule Induction from Raw Sequence Inputs ICLR 2025 Differential learning kinetics govern the transition from memorization to generalization during in-context learning ICLR 2025 Differentially Private Federated k-Means Clustering with Server-Side Data ICML 2025 Differentially Private Prototypes for Imbalanced Transfer Learning AAAI 2025 Differential Mamba IJCNLP 2025 Differential Privacy Under Class Imbalance: Methods and Empirical Insights ICML 2025 DiffFNO: Diffusion Fourier Neural Operator CVPR 2025 DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector ICLR 2025 Difficulty-aware Balancing Margin Loss for Long-tailed Recognition AAAI 2025 Difficulty Estimation in Natural Language Tasks with Action Scores NAACL 2025 DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation AAAI 2025 DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models ACL 2025 DiffuMatch: Category-Agnostic Spectral Diffusion Priors for Robust Non-rigid Shape Matching ICCV 2025 Diffusion-aware Censored Gaussian Processes for Demand Modelling IJCAI 2025 Diffusion-based Decoupled Deterministic and Uncertain Framework for Probabilistic Multivariate Time Series Forecasting ICLR 2025