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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)

One For All: Towards Training One Graph Model For All Classification Tasks ICLR 2024 One-hot Generalized Linear Model for Switching Brain State Discovery ICLR 2024 One-Layer Transformer Provably Learns One-Nearest Neighbor In Context NeurIPS 2024 On Eliciting Syntax from Language Models via Hashing EMNLP 2024 One Meta-tuned Transformer is What You Need for Few-shot Learning ICML 2024 One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts ICML 2024 One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently NeurIPS 2024 One-Shot Learning as Instruction Data Prospector for Large Language Models ACL 2024 One-Shot Strategic Classification Under Unknown Costs ICML 2024 One-Shot Structure-Aware Stylized Image Synthesis CVPR 2024 One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention ICLR 2024 One-Vs-Rest Neural Network English Grapheme Segmentation: A Linguistic Perspective CoNLL 2024 On Fake News Detection with LLM Enhanced Semantics Mining EMNLP 2024 On Feature Learning in Structured State Space Models NeurIPS 2024 On Harmonizing Implicit Subpopulations ICLR 2024 On Hypothesis Transfer Learning of Functional Linear Models ICML 2024 On learning history-based policies for controlling Markov decision processes AISTATS 2024 On Least Square Estimation in Softmax Gating Mixture of Experts ICML 2024 Online Boosting Adaptive Learning under Concept Drift for Multistream Classification AAAI 2024 Online Classification with Predictions NeurIPS 2024 Online Consistency of the Nearest Neighbor Rule NeurIPS 2024 Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback AAAI 2024 Online Infinite-Dimensional Regression: Learning Linear Operators ALT 2024 Online Learning of Decision Trees with Thompson Sampling AISTATS 2024 Online Learning of Delayed Choices NeurIPS 2024