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
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'15
'20
'25
Papers (including subtopics)
Nonparametric Modern Hopfield Models
ICML 2025
Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics
ICML 2025
No Questions are Stupid, but some are Poorly Posed: Understanding Poorly-Posed Information-Seeking Questions
ACL 2025
Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification
AAAI 2025
Norm of Mean Contextualized Embeddings Determines their Variance
COLING 2025
NormXLogit: The Head-on-Top Never Lies
EMNLP 2025
No Simple Answer to Data Complexity: An Examination of Instance-Level Complexity Metrics for Classification Tasks
NAACL 2025
Not All Features Deserve Attention: Graph-Guided Dependency Learning for Tabular Data Generation with Language Models
EMNLP 2025
Not all Hallucinations are Good to Throw Away When it Comes to Legal Abstractive Summarization
NAACL 2025
Not All Language Model Features Are One-Dimensionally Linear
ICLR 2025
Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification
ICLR 2025
Not All Terms Matter: Recall-Oriented Adaptive Learning for PLM-aided Query Expansion in Open-Domain Question Answering
ACL 2025
Not Every Metric is Equal: Cognitive Models for Predicting N400 and P600 Components During Reading Comprehension
COLING 2025
Not Lost After All: How Cross-Encoder Attribution Challenges Position Bias Assumptions in LLM Summarization
EMNLP 2025
Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models
CVPR 2025
Not Your Typical Government Tipline: LLM-Assisted Routing of Environmental Protection Agency Citizen Tips
EMNLP 2025
NovAScore: A New Automated Metric for Evaluating Document Level Novelty
COLING 2025
NRGBoost: Energy-Based Generative Boosted Trees
ICLR 2025
NSU_MILab at BLP-2025 Task 1: Decoding Bangla Hate Speech: Fine-Grained Type and Target Detection via Transformer Ensembles
AACL 2025
NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval
ICLR 2025
Number Cookbook: Number Understanding of Language Models and How to Improve It
ICLR 2025
NUST Nova at RIRAG 2025: A Hybrid Framework for Regulatory Information Retrieval and Question Answering
COLING 2025
NUST Omega at RIRAG 2025: Investigating Context-aware Retrieval and Answer Generations-Lessons and Challenges
COLING 2025
NUST Titans at SemEval-2025 Task 11: AfroEmo: Multilingual Emotion Detection with Adaptive Afro-XLM-R
SemEval 2025
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
ICLR 2025