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)
Regression with Multi-Expert Deferral
ICML 2024
Regressor-Segmenter Mutual Prompt Learning for Crowd Counting
CVPR 2024
Regroup Median Loss for Combating Label Noise
AAAI 2024
Regularization and Optimal Multiclass Learning
COLT 2024
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs
NeurIPS 2024
Reinforced Multiple Instance Selection for Speaker Attribute Prediction
NAACL 2024
Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval
EMNLP 2024
Rejection via Learning Density Ratios
NeurIPS 2024
Related Work Is All You Need
COLING 2024
Relational Concept Bottleneck Models
NeurIPS 2024
Relational Proxy Loss for Audio-Text based Keyword Spotting
Interspeech 2024
Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation
NeurIPS 2024
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
ICML 2024
RelBench: A Benchmark for Deep Learning on Relational Databases
NeurIPS 2024
ReliaAvatar: A Robust Real-Time Avatar Animator with Integrated Motion Prediction
IJCAI 2024
Reliable Conflictive Multi-View Learning
AAAI 2024
Reliable Learning of Halfspaces under Gaussian Marginals
NeurIPS 2024
Relightable and Animatable Neural Avatar from Sparse-View Video
CVPR 2024
ReLUs Are Sufficient for Learning Implicit Neural Representations
ICML 2024
ReMasker: Imputing Tabular Data with Masked Autoencoding
ICLR 2024
REMATCH: Robust and Efficient Matching of Local Knowledge Graphs to Improve Structural and Semantic Similarity
NAACL 2024
Remote Sensing for Water Quality: A Multi-Task, Metadata-Driven Hypernetwork Approach
IJCAI 2024
Render and Diffuse: Aligning Image and Action Spaces for Diffusion-based Behaviour Cloning
RSS 2024
RENN: A Rule Embedding Enhanced Neural Network Framework for Temporal Knowledge Graph Completion
COLING 2024
Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling
NeurIPS 2024