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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
'10
'15
'20
'25

Papers (including subtopics)

Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding EMNLP 2023 Learning Label Encodings for Deep Regression ICLR 2023 Learning Language Representations with Logical Inductive Bias ICLR 2023 Learning Large-scale Neural Fields via Context Pruned Meta-Learning NeurIPS 2023 Learning Latent Relations for Temporal Knowledge Graph Reasoning ACL 2023 Learning Latent Structural Relations With Message Passing Prior WACV 2023 Learning Layer-wise Equivariances Automatically using Gradients NeurIPS 2023 Learning Linear Causal Representations from Interventions under General Nonlinear Mixing NeurIPS 2023 Learning List-Level Domain-Invariant Representations for Ranking NeurIPS 2023 Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets ICLR 2023 Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma AAAI 2023 Learning Mixtures of Gaussians Using the DDPM Objective NeurIPS 2023 Learning Mixtures of Gaussians with Censored Data ICML 2023 Learning Mixtures of Markov Chains and MDPs ICML 2023 Learning multi-scale local conditional probability models of images ICLR 2023 Learning Narrow One-Hidden-Layer ReLU Networks COLT 2023 Learning Nearest Neighbour Informed Latent Word Embeddings to Improve Zero-Shot Machine Translation ACL 2023 Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics ICML 2023 Learning Neural Parametric Head Models CVPR 2023 Learning Neural Proto-Face Field for Disentangled 3D Face Modeling in the Wild CVPR 2023 Learning Neural Volumetric Representations of Dynamic Humans in Minutes CVPR 2023 Learning Nonlinear Causal Effect via Kernel Anchor Regression UAI 2023 Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution ICCV 2023 Learning Nonparametric Latent Causal Graphs with Unknown Interventions NeurIPS 2023 Learning Object-Centric Dynamic Modes from Video and Emerging Properties L4DC 2023