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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)

Discrete Curvature Graph Information Bottleneck AAAI 2025 Discrete Distribution Networks ICLR 2025 Discriminating Form and Meaning in Multilingual Models with Minimal-Pair ABX Tasks EMNLP 2025 Discriminating image representations with principal distortions ICLR 2025 Discriminative ordering through ensemble consensus UAI 2025 Discursive Circuits: How Do Language Models Understand Discourse Relations? EMNLP 2025 Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation IJCAI 2025 Disentangled Information Bottleneck for Adversarial Text Defense EMNLP 2025 Disentangled Multi-Context Meta-Learning: Unlocking Robust and Generalized Task Learning CoRL 2025 Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning ACL 2025 Disentangled Representation Learning with the Gromov-Monge Gap ICLR 2025 Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location AAAI 2025 Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning ICCV 2025 Disentangling 3D Animal Pose Dynamics with Scrubbed Conditional Latent Variables ICLR 2025 Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks AAAI 2025 Disentangling and Integrating Relational and Sensory Information in Transformer Architectures ICML 2025 Disentangling Biased Representations: A Causal Intervention Framework for Fairer NLP Models ACL 2025 Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models WACV 2025 Disentangling Interactions and Dependencies in Feature Attributions AISTATS 2025 Disentangling language change: sparse autoencoders quantify the semantic evolution of indigeneity in French NAACL 2025 Disentangling Language Understanding and Reasoning Structures in Cross-lingual Chain-of-Thought Prompting EMNLP 2025 Disentangling Linguistic Features with Dimension-Wise Analysis of Vector Embeddings NAACL 2025 Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting AAAI 2025 Disentangling Mathematical Reasoning in LLMs: A Methodological Investigation of Internal Mechanisms EMNLP 2025 Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior IJCAI 2025