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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)

Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning ICML 2023 Complexity of High-Dimensional Identity Testing with Coordinate Conditional Sampling COLT 2023 Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints NeurIPS 2023 Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel AISTATS 2023 Complex-valued neural networks for voice anti-spoofing Interspeech 2023 Compositional Generalisation with Structured Reordering and Fertility Layers EACL 2023 Compositional Generalization for Data-to-Text Generation EMNLP 2023 Compositional Generalization from First Principles NeurIPS 2023 Compositional Generalization in Spoken Language Understanding Interspeech 2023 Compositional Generalization without Trees using Multiset Tagging and Latent Permutations ACL 2023 Compositionality with Variation Reliably Emerges in Neural Networks ICLR 2023 Compositional Law Parsing with Latent Random Functions ICLR 2023 Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks L4DC 2023 Compositional Mathematical Encoding for Math Word Problems ACL 2023 Composition-contrastive Learning for Sentence Embeddings ACL 2023 Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation CVPR 2023 Comprehensive Algorithm Portfolio Evaluation using Item Response Theory JMLR 2023 Compressing multidimensional weather and climate data into neural networks ICLR 2023 Compressing Tabular Data via Latent Variable Estimation ICML 2023 Compression-Aware Video Super-Resolution CVPR 2023 Computational Flash Photography Through Intrinsics CVPR 2023 Computationally Assisted Quality Control for Public Health Data Streams IJCAI 2023 Computational Narrative Understanding: A Big Picture Analysis EMNLP 2023 Computing Abductive Explanations for Boosted Regression Trees IJCAI 2023 Computing a human-like reaction time metric from stable recurrent vision models NeurIPS 2023