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)
How Can Objects Help Video-Language Understanding?
ICCV 2025
How Can We Relate Language Modeling to Morphology?
EMNLP 2025
How Contaminated Is Your Benchmark? Measuring Dataset Leakage in Large Language Models with Kernel Divergence
ICML 2025
How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code
EMNLP 2025
How Does Critical Batch Size Scale in Pre-training?
ICLR 2025
How Do I Do That? Synthesizing 3D Hand Motion and Contacts for Everyday Interactions
CVPR 2025
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation
ICML 2025
(How) Do Language Models Track State?
ICML 2025
How do Multimodal Foundation Models Encode Text and Speech? An Analysis of Cross-Lingual and Cross-Modal Representations
NAACL 2025
How do Transformer Embeddings Represent Compositions? A Functional Analysis
ACL 2025
How Do Transformers Learn Variable Binding in Symbolic Programs?
ICML 2025
How Effective Can Dropout Be in Multiple Instance Learning ?
ICML 2025
How efficient is LLM-generated code? A rigorous & high-standard benchmark
ICLR 2025
How Expressive are Knowledge Graph Foundation Models?
ICML 2025
How Humans and LLMs Organize Conceptual Knowledge: Exploring Subordinate Categories in Italian
ACL 2025
How LLMs React to Industrial Spatio-Temporal Data? Assessing Hallucination with a Novel Traffic Incident Benchmark Dataset
NAACL 2025
How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings
ICLR 2025
How many words does it take to understand a low-resource language?
NAACL 2025
How much do contextualized representations encode long-range context?
NAACL 2025
How Much is Unseen Depends Chiefly on Information About the Seen
ICLR 2025
How Not to Stitch Representations to Measure Similarity: Task Loss Matching Versus Direct Matching
AAAI 2025
How Persuasive Is Your Context?
EMNLP 2025
How Programming Concepts and Neurons Are Shared in Code Language Models
ACL 2025
How rotation invariant algorithms are fooled by noise on sparse targets
ALT 2025
How to Leverage Digit Embeddings to Represent Numbers?
COLING 2025