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)
On the Optimality of Misspecified Spectral Algorithms
JMLR 2024
On the Origins of Linear Representations in Large Language Models
ICML 2024
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
ICLR 2024
On the Power of Decision Trees in Auto-Regressive Language Modeling
NeurIPS 2024
On the Relationship Between RNN Hidden-State Vectors and Semantic Structures
ACL 2024
On the relationship between speech production and vocabulary size in 3-5 year olds
Interspeech 2024
On the Relationship between Truth and Political Bias in Language Models
EMNLP 2024
On the Rigour of Scientific Writing: Criteria, Analysis, and Insights
EMNLP 2024
On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models
NeurIPS 2024
On the Role of Context in Reading Time Prediction
EMNLP 2024
On the sample complexity of parameter estimation in logistic regression with normal design
COLT 2024
On the Stability of Expressive Positional Encodings for Graphs
ICLR 2024
On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity
NeurIPS 2024
On the token distance modeling ability of higher RoPE attention dimension
EMNLP 2024
On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation
ICML 2024
On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows
ICML 2024
On the Universal Truthfulness Hyperplane Inside LLMs
EMNLP 2024
On the Use of Anchoring for Training Vision Models
NeurIPS 2024
On the Way to Gentle AI Counselor: Politeness Cause Elicitation and Intensity Tagging in Code-mixed Hinglish Conversations for Social Good
NAACL 2024
On Train-Test Class Overlap and Detection for Image Retrieval
CVPR 2024
On Truthing Issues in Supervised Classification
JMLR 2024
On Using Admissible Bounds for Learning Forward Search Heuristics
IJCAI 2024
OOD Aware Supervised Contrastive Learning
WACV 2024
OPEL: Optimal Transport Guided ProcedurE Learning
NeurIPS 2024
Open Problem: Can Local Regularization Learn All Multiclass Problems?
COLT 2024