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)
Quantifying the Influence of Evaluation Aspects on Long-Form Response Assessment
COLING 2025
Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons
AISTATS 2025
Quantile Regression with Large Language Models for Price Prediction
ACL 2025
Quantum (Inspired) D^2-sampling with Applications
ICLR 2025
Quantum-inspired Non-homologous Representation Constraint Mechanism for Long-tail Senses of Word Sense Disambiguation
AAAI 2025
Query Efficient Black-Box Visual Prompting with Subspace Learning
CVPR 2025
Query-focused Referentiability Learning for Zero-shot Retrieval
NAACL 2025
Query Variant Detection Using Retriever as Environment
NAACL 2025
Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models
ACL 2025
Question-guided Insights Generation for Automated Exploratory Data Analysis
AAAI 2025
QUIDS: Query Intent Description for Exploratory Search via Dual Space Modeling
EMNLP 2025
Racing Thoughts: Explaining Contextualization Errors in Large Language Models
NAACL 2025
RaCMC: Residual-Aware Compensation Network with Multi-Granularity Constraints for Fake News Detection
AAAI 2025
RadEval: A framework for radiology text evaluation
EMNLP 2025
Radical Allomorphy: Phonological Surface Forms without Phonology
EMNLP 2025
Radio Frequency Ray Tracing with Neural Object Representation for Enhanced RF Modeling
CVPR 2025
RAGDiffusion: Faithful Cloth Generation via External Knowledge Assimilation
ICCV 2025
RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression
ICLR 2025
RAGulator: Lightweight Out-of-Context Detectors for Grounded Text Generation
EMNLP 2025
RainCityNLP at BioLaySumm2025: Extract then Summarize at Home
ACL 2025
RALS: Resources and Baselines for Romanian Automatic Lexical Simplification
EMNLP 2025
Random Feature Representation Boosting
ICML 2025
Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees
JMLR 2025
Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks
EMNLP 2025
Random-Set Neural Networks
ICLR 2025