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)
Beyond Link Prediction: On Pre-Training Knowledge Graph Embeddings
ACL 2024
Beyond Memorization: The Challenge of Random Memory Access in Language Models
ACL 2024
Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning
AAAI 2024
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
NeurIPS 2024
Beyond Reference: Evaluating High Quality Translations Better than Human References
EMNLP 2024
Beyond Retrieval: Topic-based Alignment of Scientific Papers to Research Proposal
ACL 2024
Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph
ACL 2024
Beyond Seen Primitive Concepts and Attribute-Object Compositional Learning
CVPR 2024
Beyond Sentence-level Text Simplification: Reproducibility Study of Context-Aware Document Simplification
COLING 2024
Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction
ACL 2024
Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
ICLR 2024
Beyond Surface Similarity: Detecting Subtle Semantic Shifts in Financial Narratives
NAACL 2024
Beyond task diversity: provable representation transfer for sequential multitask linear bandits
NeurIPS 2024
Beyond Tech@DravidianLangTech2024 : Fake News Detection in Dravidian Languages Using Machine Learning
EACL 2024
Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects
NeurIPS 2024
Beyond the Norms: Detecting Prediction Errors in Regression Models
ICML 2024
Beyond the ROC Curve: Classification Trees Using Cost-Optimal Curves, with Application to Imbalanced Datasets
ICML 2024
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles
AAAI 2024
Beyond Turing: A Comparative Analysis of Approaches for Detecting Machine-Generated Text
NAACL 2024
BFCI at AraFinNLP2024: Support Vector Machines for Arabic Financial Text Classification
ACL 2024
Bias Amplification in Language Model Evolution: An Iterated Learning Perspective
NeurIPS 2024
Bias-aware Boolean Matrix Factorization Using Disentangled Representation Learning
UAI 2024
Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values
ICLR 2024
BiasGanda at FIGNEWS 2024 Shared Task: A Quest to Uncover Biased Views in News Coverage
ACL 2024
Biasly: An Expert-Annotated Dataset for Subtle Misogyny Detection and Mitigation
ACL 2024