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)
Framing in the Presence of Supporting Data: A Case Study in U.S. Economic News
ACL 2024
FRASIMED: A Clinical French Annotated Resource Produced through Crosslingual BERT-Based Annotation Projection
COLING 2024
Fréchet Random Forests for Metric Space Valued Regression with Non Euclidean Predictors
JMLR 2024
FreeDyG: Frequency Enhanced Continuous-Time Dynamic Graph Model for Link Prediction
ICLR 2024
Free-form Flows: Make Any Architecture a Normalizing Flow
AISTATS 2024
FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators
ICLR 2024
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting
NeurIPS 2024
Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning
AAAI 2024
Frequency-aware Generative Models for Multivariate Time Series Imputation
NeurIPS 2024
Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture
CVPR 2024
Frequency Shuffling and Enhancement for Open Set Recognition
AAAI 2024
Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector
AAAI 2024
Frication noise features of Polish voiceless dental fricative and affricate produced by children with and without speech disorder
Interspeech 2024
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
ICLR 2024
From Causal to Concept-Based Representation Learning
NeurIPS 2024
From Coarse to Fine: A Distillation Method for Fine-Grained Emotion-Causal Span Pair Extraction in Conversation
AAAI 2024
From Coarse to Fine-Grained Open-Set Recognition
CVPR 2024
From continuous-time formulations to discretization schemes: tensor trains and robust regression for BSDEs and parabolic PDEs
JMLR 2024
From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach
AISTATS 2024
From Data Imputation to Data Cleaning — Automated Cleaning of Tabular Data Improves Downstream Predictive Performance
AISTATS 2024
From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement
NeurIPS 2024
From Discrete to Continuous Classes: A Situational Analysis of Multilingual Web Registers with LLM Annotations
EMNLP 2024
From GARCH to Neural Network for Volatility Forecast
AAAI 2024
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module
ICLR 2024
From Laughter to Inequality: Annotated Dataset for Misogyny Detection in Tamil and Malayalam Memes
COLING 2024