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)
SEE: Spherical Embedding Expansion for Improving Deep Metric Learning (Extended Abstract)
IJCAI 2025
SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning
ICML 2025
SEKE: Specialised Experts for Keyword Extraction
EMNLP 2025
Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models
AISTATS 2025
Selective Blocking for Message-Passing Neural Networks on Heterophilic Graphs
UAI 2025
Selective Inference with Distributed Data
JMLR 2025
SelectLLM: Query-Aware Efficient Selection Algorithm for Large Language Models
ACL 2025
Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios
AAAI 2025
Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation
AAAI 2025
Self-Classification Enhancement and Correction for Weakly Supervised Object Detection
IJCAI 2025
Self-Directed Node Classification on Graphs
ALT 2025
Self-Discriminative Modeling for Anomalous Graph Detection
ICML 2025
SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence
ACL 2025
Self-Ensemble: Mitigating Confidence Distortion for Large Language Models
EMNLP 2025
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
CVPR 2025
Self-Explainable Graph Transformer for Link Sign Prediction
AAAI 2025
Self Knowledge-Tracing for Tool Use (SKT-Tool): Helping LLM Agents Understand Their Capabilities in Tool Use
NAACL 2025
Self-Organizing Visual Prototypes for Non-Parametric Representation Learning
ICML 2025
SELF-PERCEPT: Introspection Improves Large Language Models’ Detection of Multi-Person Mental Manipulation in Conversations
ACL 2025
Self-Relaxed Joint Training: Sample Selection for Severity Estimation with Ordinal Noisy Labels
WACV 2025
Self-Retrieval from Distant Contexts for Document-Level Machine Translation
EMNLP 2025
Self-State Evidence Extraction and Well-Being Prediction from Social Media Timelines
NAACL 2025
Self-Supervised Collaborative Information Bottleneck for Text Readability Assessment
AAAI 2025
Self-supervised contrastive learning performs non-linear system identification
ICLR 2025
Self-Supervised Cross-View Correspondence with Predictive Cycle Consistency
CVPR 2025