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)
RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors
ACL 2024
RAM-Avatar: Real-time Photo-Realistic Avatar from Monocular Videos with Full-body Control
CVPR 2024
RAMP: Boosting Adversarial Robustness Against Multiple l_p Perturbations for Universal Robustness
NeurIPS 2024
Random Forest Weighted Local Fréchet Regression with Random Objects
JMLR 2024
Random Label Forests: An Ensemble Method with Label Subsampling For Extreme Multi-Label Problems
EMNLP 2024
Random Oscillators Network for Time Series Processing
AISTATS 2024
Random Smoothing Regularization in Kernel Gradient Descent Learning
JMLR 2024
Random Walks for Temporal Action Segmentation With Timestamp Supervision
WACV 2024
RanDumb: Random Representations Outperform Online Continually Learned Representations
NeurIPS 2024
RankDVQA: Deep VQA Based on Ranking-Inspired Hybrid Training
WACV 2024
RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses
CVPR 2024
Ranking Distillation for Open-Ended Video Question Answering with Insufficient Labels
CVPR 2024
Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies
ACL 2024
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier
NeurIPS 2024
Rates of convergence for density estimation with generative adversarial networks
JMLR 2024
RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations
ACL 2024
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
NeurIPS 2024
RawBMamba: End-to-End Bidirectional State Space Model for Audio Deepfake Detection
Interspeech 2024
Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection
ICLR 2024
RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design
ICLR 2024
RDproj at SemEval-2024 Task 4: An Ensemble Learning Approach for Multilingual Detection of Persuasion Techniques in Memes
SemEval 2024
ReactZyme: A Benchmark for Enzyme-Reaction Prediction
NeurIPS 2024
Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities
EACL 2024
ReadLet: A Dataset for Oral, Visual and Tactile Text Reading Data of Early and Mature Readers
COLING 2024
Real-Fake: Effective Training Data Synthesis Through Distribution Matching
ICLR 2024