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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)

Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds ICLR 2024 Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection AAAI 2024 Poisson Variational Autoencoder NeurIPS 2024 PolarRec: Improving Radio Interferometric Data Reconstruction Using Polar Coordinates CVPR 2024 PolCLIP: A Unified Image-Text Word Sense Disambiguation Model via Generating Multimodal Complementary Representations ACL 2024 Policy Gradient Methods in the Presence of Symmetries and State Abstractions JMLR 2024 Policy Learning for Localized Interventions from Observational Data AISTATS 2024 Policy-shaped prediction: avoiding distractions in model-based reinforcement learning NeurIPS 2024 Polish Discourse Corpus (PDC): Corpus Design, ISO-Compliant Annotation, Data Highlights, and Parser Development COLING 2024 PolitiCause: An Annotation Scheme and Corpus for Causality in Political Texts COLING 2024 Polos: Multimodal Metric Learning from Human Feedback for Image Captioning CVPR 2024 PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters ICLR 2024 POLygraph: Polish Fake News Dataset ACL 2024 Polyhedral Complex Derivation from Piecewise Trilinear Networks NeurIPS 2024 Polynomial-based Self-Attention for Table Representation Learning ICML 2024 Polynomial Semantics of Tractable Probabilistic Circuits UAI 2024 Polynomial Width is Sufficient for Set Representation with High-dimensional Features ICLR 2024 Poly-View Contrastive Learning ICLR 2024 PopAut: An Annotated Corpus for Populism Detection in Austrian News Comments COLING 2024 Pose Adapted Shape Learning for Large-Pose Face Reenactment CVPR 2024 Poseidon: Efficient Foundation Models for PDEs NeurIPS 2024 Pose-Transformed Equivariant Network for 3D Point Trajectory Prediction CVPR 2024 Position: Compositional Generative Modeling: A Single Model is Not All You Need ICML 2024 Position: Is machine learning good or bad for the natural sciences? ICML 2024 Position: Key Claims in LLM Research Have a Long Tail of Footnotes ICML 2024