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
21
30
55
40
51
225
219
249
257
357
364
480
942
818
966
1,394
2,092
3,114
4,415
4,853
5,064
5,371
5,992
6,412
5,823
1,475
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
A Generalized Neural Diffusion Framework on Graphs
AAAI 2024
A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint)
AAAI 2024
A General Online Algorithm for Optimizing Complex Performance Metrics
ICML 2024
A General Search-Based Framework for Generating Textual Counterfactual Explanations
AAAI 2024
A General Theoretical Framework for Learning Smallest Interpretable Models
AAAI 2024
A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts
ICML 2024
A Generative Approach for Wikipedia-Scale Visual Entity Recognition
CVPR 2024
A Generative Model for Lambek Categorial Sequents
COLING 2024
A Generative Model of Symmetry Transformations
NeurIPS 2024
A Generic Method for Fine-grained Category Discovery in Natural Language Texts
EMNLP 2024
A Geometric Explanation of the Likelihood OOD Detection Paradox
ICML 2024
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models
NeurIPS 2024
Aggregating Quantitative Relative Judgments: From Social Choice to Ranking Prediction
NeurIPS 2024
Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-shot Segmentation
IJCAI 2024
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia
ACL 2024
A Global Geometric Analysis of Maximal Coding Rate Reduction
ICML 2024
A Global Markov Property for Solutions of Stochastic Difference Equations and the corresponding Full Time Graphs
UAI 2024
Agnostic Active Learning of Single Index Models with Linear Sample Complexity
COLT 2024
Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms
ICML 2024
Agnostic Sample Compression Schemes for Regression
ICML 2024
A Gold Standard with Silver Linings: Scaling Up Annotation for Distinguishing Bosnian, Croatian, Montenegrin and Serbian
COLING 2024
AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings
EMNLP 2024
A Graph-based Representation Framework for Trajectory Recovery via Spatiotemporal Interval-Informed Seq2Seq
IJCAI 2024
A Graph Dynamics Prior for Relational Inference
AAAI 2024
A Graph per Persona: Reasoning about Subjective Natural Language Descriptions
ACL 2024