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)
PyTorch-Lifestream: Learning Embeddings on Discrete Event Sequences
IJCAI 2025
QABISAR: Query-Article Bipartite Interactions for Statutory Article Retrieval
COLING 2025
QAEncoder: Towards Aligned Representation Learning in Question Answering Systems
ACL 2025
QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Models
EMNLP 2025
QG-SMS: Enhancing Test Item Analysis via Student Modeling and Simulation
ACL 2025
QiMLP: Quantum-inspired Multilayer Perceptron with Strong Correlation Mining and Parameter Compression
AAAI 2025
QiMP at SemEval-2025 Task 11: Optimizing Text-based Emotion Classification in English Beyond Traditional Methods
SemEval 2025
Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks
ICLR 2025
QM-AI at SemEval-2025 Task 6: an Ensemble of BERT Models for Promise Identification in ESG Context
SemEval 2025
QMambaBSR: Burst Image Super-Resolution with Query State Space Model
CVPR 2025
QMUL at SemEval-2025 Task 11: Explicit Emotion Detection with EmoLex, Feature Engineering, and Threshold-Optimized Multi-Label Classification
SemEval 2025
Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression
CVPR 2025
QPM: Discrete Optimization for Globally Interpretable Image Classification
ICLR 2025
Quad-Pixel Image Defocus Deblurring: A New Benchmark and Model
CVPR 2025
Quake: Adaptive Indexing for Vector Search
OSDI 2025
Quality Assessment of Tabular Data using Large Language Models and Code Generation
EMNLP 2025
Quality Measures for Dynamic Graph Generative Models
ICLR 2025
Quantifying and Mitigating Selection Bias in LLMs: A Transferable LoRA Fine-Tuning and Efficient Majority Voting Approach
IJCNLP 2025
Quantifying Compositionality of Classic and State-of-the-Art Embeddings
EMNLP 2025
Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport
ACL 2025
Quantifying Memory Utilization with Effective State-Size
ICML 2025
Quantifying Overfitting along the Regularization Path for Two-Part-Code MDL in Supervised Classification
COLT 2025
Quantifying Phonosemantic Iconicity Distributionally in 6 Languages
IJCNLP 2025
Quantifying Prediction Consistency Under Fine-tuning Multiplicity in Tabular LLMs
ICML 2025
Quantifying Semantic Emergence in Language Models
ACL 2025