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)
Neural Implicit Representations for Physical Parameter Inference From a Single Video
WACV 2023
Neural Implicit Surface Evolution
ICCV 2023
Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem
NeurIPS 2023
Neural Integro-Differential Equations
AAAI 2023
Neural Intrinsic Embedding for Non-Rigid Point Cloud Matching
CVPR 2023
Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action Recognition
CVPR 2023
Neural Lad: A Neural Latent Dynamics Framework for Times Series Modeling
NeurIPS 2023
Neural Language Model Based Attentive Term Dependence Model for Verbose Query (Student Abstract)
AAAI 2023
Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data
ICML 2023
Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective
ICML 2023
Neural Networks Efficiently Learn Low-Dimensional Representations with SGD
ICLR 2023
Neural networks trained with SGD learn distributions of increasing complexity
ICML 2023
NeuralPCI: Spatio-Temporal Neural Field for 3D Point Cloud Multi-Frame Non-Linear Interpolation
CVPR 2023
Neural Pixel Composition for 3D-4D View Synthesis From Multi-Views
CVPR 2023
Neural Prediction Errors enable Analogical Visual Reasoning in Human Standard Intelligence Tests
ICML 2023
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data
NeurIPS 2023
Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks
AAAI 2023
Neural Scene Chronology
CVPR 2023
Neural signature kernels as infinite-width-depth-limits of controlled ResNets
ICML 2023
Neural Spline Search for Quantile Probabilistic Modeling
AAAI 2023
Neural (Tangent Kernel) Collapse
NeurIPS 2023
Neural Vector Fields: Implicit Representation by Explicit Learning
CVPR 2023
Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks
ICML 2023
Neural Weight Search for Scalable Task Incremental Learning
WACV 2023
NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions
ICCV 2023