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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

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51
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966
4,853
5,823
2000
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Papers (including subtopics)

When does perceptual alignment benefit vision representations? NeurIPS 2024 When Do Program-of-Thought Works for Reasoning? AAAI 2024 When Elote, Choclo and Mazorca are not the Same. Isomorphism-Based Perspective to the Spanish Varieties Divergences NAACL 2024 When is Multicalibration Post-Processing Necessary? NeurIPS 2024 When No-Rejection Learning is Consistent for Regression with Rejection AISTATS 2024 When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality ACL 2024 When Phrases Meet Probabilities: Enabling Open Relation Extraction with Cooperating Large Language Models ACL 2024 When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? EMNLP 2024 When Representations Align: Universality in Representation Learning Dynamics ICML 2024 When the Misidentified Adverbial Phrase Functions as a Complement EMNLP 2024 When XGBoost Outperforms GPT-4 on Text Classification: A Case Study NAACL 2024 Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples AAAI 2024 Where are you from? Geolocating Speech and Applications to Language Identification NAACL 2024 Where Do Large Learning Rates Lead Us? NeurIPS 2024 Where Do People Tell Stories Online? Story Detection Across Online Communities ACL 2024 Where Do We Go From Here? Multi-scale Allocentric Relational Inferencefrom Natural Spatial Descriptions EACL 2024 Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders IJCAI 2024 Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation ACL 2024 White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is? JMLR 2024 Whitening Not Recommended for Classification Tasks in LLMs ACL 2024 Who Did You Blame When Your Project Failed? Designing a Corpus for Presupposition Generation in Cross-Examination Dialogues COLING 2024 Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2) NeurIPS 2024 Who Finds This Voice Attractive? A Large-Scale Experiment Using In-the-Wild Data Interspeech 2024 Who Is Bragging More Online? A Large Scale Analysis of Bragging in Social Media COLING 2024 Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search AAAI 2024