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)
Enhancing Time Awareness in Generative Recommendation
EMNLP 2025
Enhancing Training Data Quality through Influence Scores for Generalizable Classification: A Case Study on Sexism Detection
IJCNLP 2025
Enhancing Visual Classification using Comparative Descriptors
WACV 2025
EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification
ICML 2025
Entity Profile Generation and Reasoning with LLMs for Entity Alignment
EMNLP 2025
Entriever: Energy-based Retriever for Knowledge-Grounded Dialog Systems
ACL 2025
Entropy2Vec: Crosslingual Language Modeling Entropy as End-to-End Learnable Language Representations
EMNLP 2025
Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning
AAAI 2025
EqNIO: Subequivariant Neural Inertial Odometry
ICLR 2025
Equipping Vision Foundation Model with Mixture of Experts for Out-of-Distribution Detection
ICCV 2025
Equivariant Manifold Neural ODEs and Differential Invariants
JMLR 2025
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling
ICML 2025
Error Bounds for Gaussian Process Regression Under Bounded Support Noise with Applications to Safety Certification
AAAI 2025
Error Classification of Large Language Models on Math Word Problems: A Dynamically Adaptive Framework
EMNLP 2025
Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing
AAAI 2025
Error dynamics of mini-batch gradient descent with random reshuffling for least squares regression
ALT 2025
Error estimation and adaptive tuning for unregularized robust M-estimator
JMLR 2025
ESCAPE: Equivariant Shape Completion via Anchor Point Encoding
CVPR 2025
ESE: Espresso Sentence Embeddings
ICLR 2025
ESSENTIAL: Episodic and Semantic Memory Integration for Video Class-Incremental Learning
ICCV 2025
Estimating 2D Camera Motion with Hybrid Motion Basis
ICCV 2025
Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices
AISTATS 2025
Estimation of Local Geometric Structure on Manifolds from Noisy Data
JMLR 2025
Estimation of single-cell and tissue perturbation effect in spatial transcriptomics via Spatial Causal Disentanglement
ICLR 2025
Estimation of Text Difficulty in the Context of Language Learning
ACL 2025