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)
DiDA: Disambiguated Domain Alignment for Cross-Domain Retrieval with Partial Labels
AAAI 2024
DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation
ICLR 2024
DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly
CVPR 2024
DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation
ICML 2024
DiffClass: Diffusion-Based Class Incremental Learning
ECCV 2024
Differentiable Euler Characteristic Transforms for Shape Classification
ICLR 2024
Differentiable Information Bottleneck for Deterministic Multi-view Clustering
CVPR 2024
Differentiable Mapper for Topological Optimization of Data Representation
ICML 2024
Differentiable Modal Synthesis for Physical Modeling of Planar String Sound and Motion Simulation
NeurIPS 2024
Differentiable Rendering with Reparameterized Volume Sampling
AISTATS 2024
Differentiable Robot Rendering
CoRL 2024
Differentially private methods for managing model uncertainty in linear regression
JMLR 2024
Differentially Private Post-Processing for Fair Regression
ICML 2024
Differentially Private Representation Learning via Image Captioning
ICML 2024
Differentially Private Sum-Product Networks
ICML 2024
Differential Privacy in Scalable General Kernel Learning via K-means Nystr\"om Random Features
NeurIPS 2024
Different Tokenization Schemes Lead to Comparable Performance in Spanish Number Agreement
NAACL 2024
DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans
CVPR 2024
Difficult for Whom? A Study of Japanese Lexical Complexity
EMNLP 2024
DiffRed: Dimensionality reduction guided by stable rank
AISTATS 2024
DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model
CVPR 2024
DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge
NeurIPS 2024
Diffusing Differentiable Representations
NeurIPS 2024
Diffusion Actor-Critic with Entropy Regulator
NeurIPS 2024
DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars
CVPR 2024