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)
Estimating weighted areas under the ROC curve
NeurIPS 2020
Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data
NeurIPS 2020
Estimation and Inference with Trees and Forests in High Dimensions
COLT 2020
Estimation of a Low-rank Topic-Based Model for Information Cascades
JMLR 2020
Estimation of Skill Distribution from a Tournament
NeurIPS 2020
eTranslation’s Submissions to the WMT 2020 News Translation Task
EMNLP 2020
Evaluating a Bi-LSTM Model for Metaphor Detection in TOEFL Essays
ACL 2020
Evaluating Attribution for Graph Neural Networks
NeurIPS 2020
Evaluating Attribution Methods using White-Box LSTMs
EMNLP 2020
Evaluating Compositionality of Sentence Representation Models
ACL 2020
Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?
ACL 2020
Evaluating Machine Accuracy on ImageNet
ICML 2020
Evaluating Natural Alpha Embeddings on Intrinsic and Extrinsic Tasks
ACL 2020
Evaluating Natural Language Generation via Unbalanced Optimal Transport
IJCAI 2020
Evaluating Neural Morphological Taggers for Sanskrit
ACL 2020
Evaluating Pretrained Transformer-based Models on the Task of Fine-Grained Named Entity Recognition
COLING 2020
Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction
EMNLP 2020
Evaluating the Reliability of Acoustic Speech Embeddings
Interspeech 2020
Evaluating Unsupervised Representation Learning for Detecting Stances of Fake News
COLING 2020
Evaluating Word Embeddings for Language Acquisition
EMNLP 2020
Evaluating Word Embeddings on Low-Resource Languages
EMNLP 2020
Evaluation of Transfer Learning for Adverse Drug Event (ADE) and Medication Entity Extraction
EMNLP 2020
Event Coreference Resolution with Non-Local Information
AACL 2020
Event-Driven Continuous Time Bayesian Networks
AAAI 2020
Event-Driven Learning of Systematic Behaviours in Stock Markets
EMNLP 2020