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)
Online Selective Classification with Limited Feedback
NeurIPS 2021
Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits
NeurIPS 2021
Online Sparse Reinforcement Learning
AISTATS 2021
Online Speaker Diarization Equipped with Discriminative Modeling and Guided Inference
Interspeech 2021
On Locality of Local Explanation Models
NeurIPS 2021
On lp-hyperparameter Learning via Bilevel Nonsmooth Optimization
JMLR 2021
On Margin-Based Cluster Recovery with Oracle Queries
NeurIPS 2021
On Memorization in Probabilistic Deep Generative Models
NeurIPS 2021
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation
NeurIPS 2021
On Modeling Glottal Source Information for Phonation Assessment in Parkinson’s Disease
Interspeech 2021
On Multi-Armed Bandit Designs for Dose-Finding Trials
JMLR 2021
On Optimal Interpolation in Linear Regression
NeurIPS 2021
On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework
ICML 2021
On Positivity Bias in Negative Reviews
ACL 2021
On Pursuit of Designing Multi-modal Transformer for Video Grounding
EMNLP 2021
On Scalar Embedding of Relative Positions in Attention Models
AAAI 2021
On Semantic Similarity in Video Retrieval
CVPR 2021
On the Approximation Power of Two-Layer Networks of Random ReLUs
COLT 2021
On the Bottleneck of Graph Neural Networks and its Practical Implications
ICLR 2021
On the Challenges of Evaluating Compositional Explanations in Multi-Hop Inference: Relevance, Completeness, and Expert Ratings
EMNLP 2021
On the Computational Modelling of Michif Verbal Morphology
EACL 2021
On the Consistency of Metric and Non-Metric K-Medoids
AISTATS 2021
On the cross-lingual transferability of multilingual prototypical models across NLU tasks
ACL 2021
On the differences between BERT and MT encoder spaces and how to address them in translation tasks
ACL 2021
On the Difficulty of Segmenting Words with Attention
EMNLP 2021