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)
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts
EMNLP 2021
Contrapositive Local Class Inference
EMNLP 2021
Contrasting distinct structured views to learn sentence embeddings
EACL 2021
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
ICLR 2021
Contrastive Clustering
AAAI 2021
Contrastive Code Representation Learning
EMNLP 2021
Contrastive Document Representation Learning with Graph Attention Networks
EMNLP 2021
Contrastive Embedding for Generalized Zero-Shot Learning
CVPR 2021
Contrastive Estimation Reveals Topic Posterior Information to Linear Models
JMLR 2021
Contrastive Explanations for Model Interpretability
EMNLP 2021
Contrastive Laplacian Eigenmaps
NeurIPS 2021
Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification
CVPR 2021
Contrastive Learning for Neural Topic Model
NeurIPS 2021
Contrastive learning, multi-view redundancy, and linear models
ALT 2021
Contrastive Learning with Hard Negative Samples
ICLR 2021
Contrastive Multimodal Fusion With TupleInfoNCE
ICCV 2021
Contrastive Neural Architecture Search With Neural Architecture Comparators
CVPR 2021
Contrastive Out-of-Distribution Detection for Pretrained Transformers
EMNLP 2021
Contrastive prototype learning with augmented embeddings for few-shot learning
UAI 2021
Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation
EMNLP 2021
Contrastive Transformation for Self-supervised Correspondence Learning
AAAI 2021
Contributions of Propositional Content and Syntactic Category Information in Sentence Processing
NAACL 2021
Control-Aware Representations for Model-based Reinforcement Learning
ICLR 2021
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation
AAAI 2021
Controlled tasks for model analysis: Retrieving discrete information from sequences
EMNLP 2021