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)
Late to the Party? On-Demand Unlabeled Personalized Federated Learning
WACV 2024
Latin Treebanks in Review: An Evaluation of Morphological Tagging Across Time
ACL 2024
LaWa: Using Latent Space for In-Generation Image Watermarking
ECCV 2024
Layer-wise Regularized Dropout for Neural Language Models
COLING 2024
Layer-Wise Representation Fusion for Compositional Generalization
AAAI 2024
Laying Anchors: Semantically Priming Numerals in Language Modeling
NAACL 2024
LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies
ICML 2024
LCGbank: A Corpus of Syntactic Analyses Based on Proof Nets
COLING 2024
LCOT: Linear Circular Optimal Transport
ICLR 2024
LeadEmpathy: An Expert Annotated German Dataset of Empathy in Written Leadership Communication
COLING 2024
LEAF: Predicting the Environmental Impact of Food Products based on their Name
ACL 2024
Learnability Gaps of Strategic Classification
COLT 2024
Learnable Layer Selection and Model Fusion for Speech Self-Supervised Learning Models
Interspeech 2024
Learnable Privacy Neurons Localization in Language Models
ACL 2024
Learned Lossless Image Compression based on Bit Plane Slicing
CVPR 2024
Learned Trajectory Embedding for Subspace Clustering
CVPR 2024
Learned Transformer Position Embeddings Have a Low-Dimensional Structure
ACL 2024
Learn from View Correlation: An Anchor Enhancement Strategy for Multi-view Clustering
CVPR 2024
Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement
ICML 2024
Learning 1D Causal Visual Representation with De-focus Attention Networks
NeurIPS 2024
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation
AAAI 2024
Learning Accurate and Interpretable Decision Trees
UAI 2024
Learning Action and Reasoning-Centric Image Editing from Videos and Simulation
NeurIPS 2024
Learning Adaptive Kernels for Statistical Independence Tests
AISTATS 2024
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers
AISTATS 2024