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)
Towards Discovery and Attribution of Open-World GAN Generated Images
ICCV 2021
Towards Diverse Paragraph Captioning for Untrimmed Videos
CVPR 2021
Towards Document-Level Paraphrase Generation with Sentence Rewriting and Reordering
EMNLP 2021
Towards Efficient Selection of Activity Trajectories based on Diversity and Coverage
AAAI 2021
Towards Equal Gender Representation in the Annotations of Toxic Language Detection
ACL 2021
Towards Generalized Implementation of Wasserstein Distance in GANs
AAAI 2021
Towards Generating Summaries for Lexically Confusing Code through Code Erosion
IJCAI 2021
Towards Impartial Multi-task Learning
ICLR 2021
Towards Interpretable Deep Metric Learning With Structural Matching
ICCV 2021
Towards Label-Agnostic Emotion Embeddings
EMNLP 2021
Towards Layered Events and Schema Representations in Long Documents
NAACL 2021
Towards Learning Spatially Discriminative Feature Representations
ICCV 2021
Towards Low-Resource Real-Time Assessment of Empathy in Counselling
NAACL 2021
Towards More Fine-grained and Reliable NLP Performance Prediction
EACL 2021
Towards Multi-Grained Explainability for Graph Neural Networks
NeurIPS 2021
Towards Multi-Scale Style Control for Expressive Speech Synthesis
Interspeech 2021
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
ICLR 2021
Towards Objectively Evaluating the Quality of Generated Medical Summaries
EACL 2021
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach
NeurIPS 2021
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach
ICML 2021
Towards optimally abstaining from prediction with OOD test examples
NeurIPS 2021
Towards Precise Intra-Camera Supervised Person Re-Identification
WACV 2021
Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection
ACL 2021
Towards Quantifiable Dialogue Coherence Evaluation
ACL 2021
Towards Realistic Few-Shot Relation Extraction
EMNLP 2021