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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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'15
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'25

Papers (including subtopics)

Generalized Eigenvalue Problems with Generative Priors NeurIPS 2024 Generalized Fake Audio Detection via Deep Stable Learning Interspeech 2024 Generalized Fast Exact Conformalization NeurIPS 2024 Generalized Neural Collapse for a Large Number of Classes ICML 2024 Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions ICLR 2024 Generalized Planning for the Abstraction and Reasoning Corpus AAAI 2024 Generalized Protein Pocket Generation with Prior-Informed Flow Matching NeurIPS 2024 Generalized Taxonomy-Guided Graph Neural Networks IJCAI 2024 Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts NeurIPS 2024 Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts NeurIPS 2024 Generalizing CNNs to graphs with learnable neighborhood quantization NeurIPS 2024 Generalizing Orthogonalization for Models with Non-Linearities ICML 2024 General Point Model Pretraining with Autoencoding and Autoregressive CVPR 2024 Generate Universal Adversarial Perturbations for Few-Shot Learning NeurIPS 2024 Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees AISTATS 2024 Generating compositional scenes via Text-to-image RGBA Instance Generation NeurIPS 2024 Generating Content for HDR Deghosting from Frequency View CVPR 2024 Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks AAAI 2024 Generating Diverse Translation with Perturbed kNN-MT EACL 2024 Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification COLING 2024 Generating Highly Designable Proteins with Geometric Algebra Flow Matching NeurIPS 2024 Generating Origin-Destination Matrices in Neural Spatial Interaction Models NeurIPS 2024 Generation of Upright Panoramic Image From Non-Upright Panoramic Image WACV 2024 Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing CVPR 2024 Generative Adversarial Ranking Nets JMLR 2024