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 Computational Framework to Identify Self-Aspects in Text
ACL 2025
A Conditional Independence Test in the Presence of Discretization
ICLR 2025
A Context-Aware Approach for Enhancing Data Imputation with Pre-trained Language Models
COLING 2025
ACORD: An Expert-Annotated Retrieval Dataset for Legal Contract Drafting
ACL 2025
A Correlation Manifold Self-Attention Network for EEG Decoding
IJCAI 2025
Acoustic Individual Identification of White-Faced Capuchin Monkeys Using Joint Multi-Species Embeddings
ACL 2025
Acquiring Bidirectionality via Large and Small Language Models
COLING 2025
AcrosticSleuth: Probabilistic Identification and Ranking of Acrostics in Multilingual Corpora
NAACL 2025
Act2P: LLM-Driven Online Dialogue Act Classification for Power Analysis
ACL 2025
Activating Sparse Part Concepts for 3D Class Incremental Learning
CVPR 2025
Activation Subspaces for Out-of-Distribution Detection
ICCV 2025
Active Bipartite Ranking with Smooth Posterior Distributions
AISTATS 2025
Active Learning for Neural PDE Solvers
ICLR 2025
AD4CD: Causal-Guided Anomaly Detection for Enhancing Cognitive Diagnosis
AAAI 2025
AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment
COLING 2025
AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering
CVPR 2025
Adapting Dense Matching for Homography Estimation with Grid-based Acceleration
CVPR 2025
Adapting General-Purpose Embedding Models to Private Datasets Using Keyword-based Retrieval
ACL 2025
Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning
ICML 2025
Adaptive Convergence Rates for Log-Concave Maximum Likelihood
AISTATS 2025
Adaptive Dataset Quantization
AAAI 2025
Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos
JMLR 2025
Adaptive-Grained Label Distribution Learning
AAAI 2025
Adaptive Keyframe Sampling for Long Video Understanding
CVPR 2025
Adaptive Language-Aware Image Reflection Removal Network
IJCAI 2025