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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)

Database-Augmented Query Representation for Information Retrieval EMNLP 2025 DataBees at SemEval-2025 Task 11: Challenges and Limitations in Multi-Label Emotion Detection SemEval 2025 Data-Centric Graph Condensation via Diffusion Matching ACML 2025 Data-centric Prediction Explanation via Kernelized Stein Discrepancy ICLR 2025 Data Descriptions from Large Language Models with Influence Estimation EMNLP 2025 Data Distributional Properties As Inductive Bias for Systematic Generalization CVPR 2025 Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data EMNLP 2025 Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior CVPR 2025 Data or Language Supervision: What Makes CLIP Better than DINO? EMNLP 2025 Data Quality Enhancement on the Basis of Diversity with Large Language Models for Text Classification: Uncovered, Difficult, and Noisy COLING 2025 Data Selection for ERMs COLT 2025 Dataset Distillation via the Wasserstein Metric ICCV 2025 Dataset Distillation with Neural Characteristic Function: A Minmax Perspective CVPR 2025 DA-VPT: Semantic-Guided Visual Prompt Tuning for Vision Transformers CVPR 2025 DCBM: Data-Efficient Visual Concept Bottleneck Models ICML 2025 DCC: Differentiable Cardinality Constraints for Partial Index Tracking AAAI 2025 DCILP: A Distributed Approach for Large-Scale Causal Structure Learning AAAI 2025 DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided Quantization AAAI 2025 DDS: Decoupled Dynamic Scene-Graph Generation Network WACV 2025 De^2Gaze: Deformable and Decoupled Representation Learning for 3D Gaze Estimation CVPR 2025 DeAR: Dual-Stage Document Reranking with Reasoning Agents via LLM Distillation EMNLP 2025 DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations AAAI 2025 DebArgVis: An Interactive Visualisation Tool for Exploring Argumentative Dynamics in Debate ACL 2025 DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery ICLR 2025 Debiasing Online Preference Learning via Preference Feature Preservation ACL 2025