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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)

Catch Your Emotion: Sharpening Emotion Perception in Multimodal Large Language Models ICML 2025 CateEA: Enhancing Entity Alignment via Implicit Category Supervision COLING 2025 Category-Agnostic Neural Object Rigging CVPR 2025 Category Prompt Mamba Network for Nuclei Segmentation and Classification AAAI 2025 Category-Specific Selective Feature Enhancement for Long-Tailed Multi-Label Image Classification ICCV 2025 Cauchy Diffusion: A Heavy-tailed Denoising Diffusion Probabilistic Model for Speech Synthesis AAAI 2025 Causal Abstraction Inference under Lossy Representations ICML 2025 Causal Abstraction Learning based on the Semantic Embedding Principle ICML 2025 Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles UAI 2025 Causal Discovery on Dependent Binary Data AISTATS 2025 Causal Graphical Models for Vision-Language Compositional Understanding ICLR 2025 Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection ICML 2025 Causality-Inspired Disentanglement for Fair Graph Neural Networks IJCAI 2025 Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting IJCAI 2025 Causally Consistent Normalizing Flow AAAI 2025 Causal Models for Growing Networks UAI 2025 Causal Representation Learning from Multimodal Biomedical Observations ICLR 2025 Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness EMNLP 2025 CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series ICLR 2025 Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism IJCAI 2025 CAX: Cellular Automata Accelerated in JAX ICLR 2025 CCG: Rare-Label Prediction via Neural SEM–Driven Causal Game EMNLP 2025 CCMNet: Leveraging Calibrated Color Correction Matrices for Cross-Camera Color Constancy ICCV 2025 CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search NAACL 2025 CDHF at SemEval-2025 Task 9: A Multi-Task Learning Approach for Food Hazard Classification SemEval 2025