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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
'20
'25

Papers (including subtopics)

Posterior Consistency for Bayesian Relevance Vector Machines JMLR 2023 Posterior Contraction for Deep Gaussian Process Priors JMLR 2023 Posterior Tracking Algorithm for Classification Bandits AISTATS 2023 Post-Processing Temporal Action Detection CVPR 2023 POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models ICML 2023 Powerset multi-class cross entropy loss for neural speaker diarization Interspeech 2023 Practical Markov Boundary Learning without Strong Assumptions AAAI 2023 Practical privacy-preserving Gaussian process regression via secret sharing UAI 2023 Practical Takes on Federated Learning with Pretrained Language Models EACL 2023 Pragmatic Annotation of Articles Related to Police Brutality ACL 2023 Pragmatic Pertinence: A Learnable Confidence Metric to Assess the Subjective Quality of LM-Generated Text Interspeech 2023 Precise Asymptotic Analysis of Deep Random Feature Models COLT 2023 Precise asymptotic generalization for multiclass classification with overparameterized linear models NeurIPS 2023 Precision/Recall on Imbalanced Test Data AISTATS 2023 Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute ICML 2023 Predictable MDP Abstraction for Unsupervised Model-Based RL ICML 2023 Predicting a Protein's Stability under a Million Mutations NeurIPS 2023 Predicting Customer Satisfaction with Soft Labels for Ordinal Classification ACL 2023 Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writing EACL 2023 Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily NeurIPS 2023 Predicting Human Translation Difficulty Using Automatic Word Alignment ACL 2023 Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model NeurIPS 2023 Predicting Numerals in Text Using Nearest Neighbor Language Models ACL 2023 Predicting Ordinary Differential Equations with Transformers ICML 2023 Predicting Perceived Music Emotions with Respect to Instrument Combinations AAAI 2023