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)
Improving Dialogue State Tracking by Joint Slot Modeling
EMNLP 2021
Improving Embedding-based Large-scale Retrieval via Label Enhancement
EMNLP 2021
Improving Encoder by Auxiliary Supervision Tasks for Table-to-Text Generation
ACL 2021
Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection
NAACL 2021
Improving Generative Moment Matching Networks with Distribution Partition
AAAI 2021
Improving Gradient Flow with Unrolled Highway Expectation Maximization
AAAI 2021
Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings
EMNLP 2021
Improving Hashing Algorithms for Similarity Search via MLE and the Control Variates Trick
ACML 2021
Improving Hate Speech Type and Target Detection with Hateful Metaphor Features
NAACL 2021
Improving KernelSHAP: Practical Shapley Value Estimation Using Linear Regression
AISTATS 2021
Improving Knowledge Graph Embedding Using Affine Transformations of Entities Corresponding to Each Relation
EMNLP 2021
Improving Math Word Problems with Pre-trained Knowledge and Hierarchical Reasoning
EMNLP 2021
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity
ICML 2021
Improving Multi-agent Coordination by Learning to Estimate Contention
IJCAI 2021
Improving Multimodal fusion via Mutual Dependency Maximisation
EMNLP 2021
Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis
EMNLP 2021
Improving Panoptic Segmentation at All Scales
CVPR 2021
Improving Predictors via Combination Across Diverse Task Categories
ICML 2021
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein
ICLR 2021
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
AAAI 2021
Improving Synonym Recommendation Using Sentence Context
EMNLP 2021
Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs
EMNLP 2021
Improving the Expressiveness of Neural Vocoding with Non-Affine Normalizing Flows
Interspeech 2021
Improving Transferability of Representations via Augmentation-Aware Self-Supervision
NeurIPS 2021
Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning
AAAI 2021