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)
Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation
CVPR 2024
Diffusion Gaussian Mixture Audio Denoise
Interspeech 2024
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization
ICLR 2024
Diffusion Imitation from Observation
NeurIPS 2024
Diffusion-Inspired Truncated Sampler for Text-Video Retrieval
NeurIPS 2024
Diffusion Language-Shapelets for Semi-supervised Time-Series Classification
AAAI 2024
Diffusion Models Encode the Intrinsic Dimension of Data Manifolds
ICML 2024
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement
NeurIPS 2024
DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data
CVPR 2024
DiffusionPen: Towards Controlling the Style of Handwritten Text Generation
ECCV 2024
Diffusion PID: Interpreting Diffusion via Partial Information Decomposition
NeurIPS 2024
Diffusion Spectral Representation for Reinforcement Learning
NeurIPS 2024
DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph
AAAI 2024
Digital Avatars: Framework Development and Their Evaluation
IJCAI 2024
DILAB at #SMM4H 2024: Analyzing Social Anxiety Effects through Context-Aware Transfer Learning on Reddit Data
ACL 2024
DILAB at #SMM4H 2024: RoBERTa Ensemble for Identifying Children’s Medical Disorders in English Tweets
ACL 2024
Dimension-free deterministic equivalents and scaling laws for random feature regression
NeurIPS 2024
Directed Hypergraph Representation Learning for Link Prediction
AISTATS 2024
Direct May Not Be the Best: An Incremental Evolution View of Pose Generation
AAAI 2024
Dirichlet process mixture model based on topologically augmented signal representation for clustering infant vocalizations
Interspeech 2024
Disambiguate Words like Composing Them: A Morphology-Informed Approach to Enhance Chinese Word Sense Disambiguation
ACL 2024
Disambiguating Homographs and Homophones Simultaneously: A Regrouping Method for Japanese
COLING 2024
DisCEdit: Model Editing by Identifying Discriminative Components
NeurIPS 2024
DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers
EMNLP 2024
Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint
ACL 2024