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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
'5
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'25

Papers (including subtopics)

Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns AAAI 2024 Fine-tuning of Pre-trained Models for Classification of Vocal Intensity Category from Speech Signals Interspeech 2024 Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination NeurIPS 2024 Fingervein Verification Using Convolutional Multi-Head Attention Network WACV 2024 Finite Smoothing Algorithm for High-Dimensional Support Vector Machines and Quantile Regression ICML 2024 First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning EMNLP 2024 First-Order Manifold Data Augmentation for Regression Learning ICML 2024 First Steps in Building a Knowledge Base of Mathematical Results ACL 2024 Fisher Flow Matching for Generative Modeling over Discrete Data NeurIPS 2024 Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing Diffusions COLT 2024 Fitness Activity Recognition Using a Novel Pressure Sensing Mat and Machine Learning for the Future of Accessible Training IJCAI 2024 Fitting ARMA Time Series Models without Identification: A Proximal Approach AISTATS 2024 Fitting a Square Peg into a Round Hole: Creating a UniMorph dataset of Kanien’kéha Verbs EACL 2024 Flat Minima in Linear Estimation and an Extended Gauss Markov Theorem ICLR 2024 Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincare Ball CVPR 2024 Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning CVPR 2024 Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM NeurIPS 2024 FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on IJCAI 2024 Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling EMNLP 2024 Flexible Context-Driven Sensory Processing in Dynamical Vision Models NeurIPS 2024 Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals NeurIPS 2024 Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts NeurIPS 2024 FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning NeurIPS 2024 FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling NeurIPS 2024 Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery NeurIPS 2024