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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)

WhatIf: Leveraging Word Vectors for Small-Scale Data Augmentation CoNLL 2024 What If the Input is Expanded in OOD Detection? NeurIPS 2024 What Is Best for Students, Numerical Scores or Letter Grades? IJCAI 2024 What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks NeurIPS 2024 What is my quantum computer good for? Quantum capability learning with physics-aware neural networks NeurIPS 2024 What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights NeurIPS 2024 What Makes Language Models Good-enough? ACL 2024 What Makes Models Compositional? A Theoretical View IJCAI 2024 What Makes Partial-Label Learning Algorithms Effective? NeurIPS 2024 What Matters in Graph Class Incremental Learning? An Information Preservation Perspective NeurIPS 2024 What Matters in Range View 3D Object Detection CoRL 2024 What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information NeurIPS 2024 What's in a Prior? Learned Proximal Networks for Inverse Problems ICLR 2024 What’s Mine becomes Yours: Defining, Annotating and Detecting Context-Dependent Paraphrases in News Interview Dialogs EMNLP 2024 What’s under the hood: Investigating Automatic Metrics on Meeting Summarization EMNLP 2024 What’s wrong with your model? A Quantitative Analysis of Relation Classification NAACL 2024 What to Annotate: Retrieving Lexical Markers of Conspiracy Discourse from an Italian-English Corpus of Telegram Data COLING 2024 What Variables Affect Out-of-Distribution Generalization in Pretrained Models? NeurIPS 2024 What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks ICML 2024 What Would Happen Next? Predicting Consequences from An Event Causality Graph EMNLP 2024 When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context EMNLP 2024 When are dynamical systems learned from time series data statistically accurate? NeurIPS 2024 When Argumentation Meets Cohesion: Enhancing Automatic Feedback in Student Writing COLING 2024 When Causal Inference Meets Graph Machine Learning AAAI 2024 When Context Leads but Parametric Memory Follows in Large Language Models EMNLP 2024