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)
Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion
AAAI 2025
Towards High-fidelity 3D Talking Avatar with Personalized Dynamic Texture
CVPR 2025
Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings
ICLR 2025
Towards Human-Understandable Multi-Dimensional Concept Discovery
CVPR 2025
Towards Infinite-Long Prefix in Transformer
EMNLP 2025
Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective
NAACL 2025
Towards Learnable Anchor for Deep Multi-View Clustering
AAAI 2025
Towards Lossless Implicit Neural Representation via Bit Plane Decomposition
CVPR 2025
Towards Macro-AUC Oriented Imbalanced Multi-Label Continual Learning
AAAI 2025
Towards More Discriminative Feature Learning in SNNs with Temporal-Self-Erasing Supervision
AAAI 2025
Towards Multi-System Log Anomaly Detection
ACL 2025
Towards Objective Fine-tuning: How LLMs’ Prior Knowledge Causes Potential Poor Calibration?
ACL 2025
Towards On-the-Fly Novel Category Discovery in Dynamic Long-Tailed Distributions
WACV 2025
Towards Practical Defect-Focused Automated Code Review
ICML 2025
Towards Real-World Rumor Detection: Anomaly Detection Framework with Graph Supervised Contrastive Learning
COLING 2025
Towards Recognizing Spatial-temporal Collaboration of EEG Phase Brain Networks for Emotion Understanding
IJCAI 2025
Towards Robust Comparisons of NLP Models: A Case Study
COLING 2025
Towards Robust Deterministic and Probabilistic Modeling for Predictive Learning
IJCAI 2025
Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets
AAAI 2025
Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization
ACL 2025
Towards Robust Few-Shot Relation Classification: Incorporating Relation Description with Agreement
EMNLP 2025
Towards Robust Sentiment Analysis of Temporally-Sensitive Policy-Related Online Text
ACL 2025
Towards Scalable and Deep Graph Neural Networks via Noise Masking
AAAI 2025
Towards Scalable Newborn Screening: Automated General Movement Assessment in Uncontrolled Settings
MLHC 2025
Towards Scalable Topological Regularizers
ICLR 2025