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)
Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation
IJCAI 2023
Batch Multivalid Conformal Prediction
ICLR 2023
Batchnorm Allows Unsupervised Radial Attacks
NeurIPS 2023
BaTEClaCor: A Novel Dataset for Bangla Text Error Classification and Correction
EMNLP 2023
Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization
NeurIPS 2023
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior
AISTATS 2023
Bayesian Data Selection
JMLR 2023
Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors
NeurIPS 2023
Bayesian Federated Neural Matching That Completes Full Information
AAAI 2023
Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval
NeurIPS 2023
Bayesian Optimisation of Functions on Graphs
NeurIPS 2023
Bayesian Optimization-Based Combinatorial Assignment
AAAI 2023
Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process
ICML 2023
Bayesian Variable Selection in a Million Dimensions
AISTATS 2023
BeAts: Bengali Speech Acts Recognition using Multimodal Attention Fusion
Interspeech 2023
Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning
AAAI 2023
Behavior Prior Representation learning for Offline Reinforcement Learning
ICLR 2023
BEmoLexBERT: A Hybrid Model for Multilabel Textual Emotion Classification in Bangla by Combining Transformers with Lexicon Features
EMNLP 2023
Be More Active! Understanding the Differences Between Mean and Sampled Representations of Variational Autoencoders
JMLR 2023
BENCHić-lang: A Benchmark for Discriminating between Bosnian, Croatian, Montenegrin and Serbian
EACL 2023
Benchmark of Machine Learning Force Fields for Semiconductor Simulations: Datasets, Metrics, and Comparative Analysis
NeurIPS 2023
Benefits of monotonicity in safe exploration with Gaussian processes
UAI 2023
Benign Overfitting in Adversarially Robust Linear Classification
UAI 2023
Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models
ICLR 2023
Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization
COLT 2023