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)
GeAR: Generation Augmented Retrieval
ACL 2025
GeAR: Graph-enhanced Agent for Retrieval-augmented Generation
ACL 2025
GeCC: Generalized Contrastive Clustering with Domain Shifts Modeling
AAAI 2025
GECO: Geometrically Consistent Embedding with Lightspeed Inference
ICCV 2025
GECTurk WEB: An Explainable Online Platform for Turkish Grammatical Error Detection and Correction
COLING 2025
GenEOL: Harnessing the Generative Power of LLMs for Training-Free Sentence Embeddings
NAACL 2025
Generalizable Motion Planning via Operator Learning
ICLR 2025
Generalizable Sensor-Based Activity Recognition via Categorical Concept Invariant Learning
AAAI 2025
Generalization Analysis for Deep Contrastive Representation Learning
AAAI 2025
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
ICLR 2025
Generalization-Preserved Learning: Closing the Backdoor to Catastrophic Forgetting in Continual Deepfake Detection
ICCV 2025
Generalization Principles for Inference over Text-Attributed Graphs with Large Language Models
ICML 2025
Generalization v.s. Memorization: Tracing Language Models’ Capabilities Back to Pretraining Data
ICLR 2025
Generalized additive models via direct optimization of regularized decision stump forests
ICML 2025
Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-Resolution
ICCV 2025
Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization
ICML 2025
Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning
AAAI 2025
Generalized Debiased Semi-Supervised Hashing for Large-Scale Image Retrieval
AAAI 2025
Generalized Deep Multi-view Clustering via Causal Learning with Partially Aligned Cross-view Correspondence
ICCV 2025
Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance
AAAI 2025
Generalized Embedding Models for Industry 4.0 Applications
EMNLP 2025
Generalized Few-Shot Point Cloud Segmentation via LLM-Assisted Hyper-Relation Matching
ICCV 2025
Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling
AAAI 2025
Generalized Interpolating Discrete Diffusion
ICML 2025
Generalized multi-view model: Adaptive density estimation under low-rank constraints
JMLR 2025