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)
Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability
NeurIPS 2023
Implicit Bias of Gradient Descent for Mean Squared Error Regression with Two-Layer Wide Neural Networks
JMLR 2023
Implicit Contrastive Representation Learning with Guided Stop-gradient
NeurIPS 2023
Implicit Diffusion Models for Continuous Super-Resolution
CVPR 2023
Implicit Graph Neural Networks: A Monotone Operator Viewpoint
ICML 2023
Implicit Graphon Neural Representation
AISTATS 2023
Implicit Identity Driven Deepfake Face Swapping Detection
CVPR 2023
Implicit Manifold Gaussian Process Regression
NeurIPS 2023
Implicit Neural Head Synthesis via Controllable Local Deformation Fields
CVPR 2023
Implicit Neural Spatial Representations for Time-dependent PDEs
ICML 2023
Implicit phonetic information modeling for speech emotion recognition
Interspeech 2023
Implicit Regularization and Entrywise Convergence of Riemannian Optimization for Low Tucker-Rank Tensor Completion
JMLR 2023
Implicit Regularization for Group Sparsity
ICLR 2023
Implicit Regularization in Over-Parameterized Support Vector Machine
NeurIPS 2023
Implicit Regularization Towards Rank Minimization in ReLU Networks
ALT 2023
Implicit Sense-labeled Connective Recognition as Text Generation
EMNLP 2023
Implicit Temporal Modeling with Learnable Alignment for Video Recognition
ICCV 2023
Implicit Training of Inference Network Models for Structured Prediction
UAI 2023
Implicit View-Time Interpolation of Stereo Videos Using Multi-Plane Disparities and Non-Uniform Coordinates
CVPR 2023
ImPosing: Implicit Pose Encoding for Efficient Visual Localization
WACV 2023
Improper Multiclass Boosting
COLT 2023
Improved Active Multi-Task Representation Learning via Lasso
ICML 2023
Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback
ICML 2023
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions
ICML 2023
Improved Approximation for Fair Correlation Clustering
AISTATS 2023