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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)

Recurrent Graph Neural Networks and Their Connections to Bisimulation and Logic AAAI 2024 Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations EMNLP 2024 Recursive Estimation of Conditional Kernel Mean Embeddings JMLR 2024 RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates AAAI 2024 Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages AAAI 2024 RedEx: Beyond Fixed Representation Methods via Convex Optimization ALT 2024 Reduce Redundancy Then Rerank: Enhancing Code Summarization with a Novel Pipeline Framework COLING 2024 REDUCR: Robust Data Downsampling using Class Priority Reweighting NeurIPS 2024 Re-evaluating the Tomes for the Times COLING 2024 Referring Human Pose and Mask Estimation In the Wild NeurIPS 2024 Refine and Redistribute: Multi-Domain Fusion and Dynamic Label Assignment for Unbiased Scene Graph Generation WACV 2024 Refining Idioms Semantics Comprehension via Contrastive Learning and Cross-Attention COLING 2024 Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks AAAI 2024 Reflecting the Male Gaze: Quantifying Female Objectification in 19th and 20th Century Novels COLING 2024 ReFT: Representation Finetuning for Language Models NeurIPS 2024 ReGAL: Refactoring Programs to Discover Generalizable Abstractions ICML 2024 ReGCL: Rethinking Message Passing in Graph Contrastive Learning AAAI 2024 Regeneration Learning: A Learning Paradigm for Data Generation AAAI 2024 RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks NeurIPS 2024 Regimes of No Gain in Multi-class Active Learning JMLR 2024 Region-Based Representations Revisited CVPR 2024 Regression Aware Inference with LLMs EMNLP 2024 Regression Learning with Limited Observations of Multivariate Outcomes and Features ICML 2024 Regression Residual Reasoning with Pseudo-labeled Contrastive Learning for Uncovering Multiple Complex Compositional Relations IJCAI 2024 Regression under demographic parity constraints via unlabeled post-processing NeurIPS 2024