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)
Differentially Private Regression with Gaussian Processes
AISTATS 2018
Differentially Private Robust Low-Rank Approximation
NeurIPS 2018
Differential networking with path weights in Gaussian trees
PGM 2018
Differentiated Attentive Representation Learning for Sentence Classification
IJCAI 2018
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
ICLR 2018
Diffusion Maps for Textual Network Embedding
NeurIPS 2018
Di-LSTM Contrast : A Deep Neural Network for Metaphor Detection
NAACL 2018
Dimensionality-Driven Learning with Noisy Labels
ICML 2018
Dimensionality Reduced ℓ^0-Sparse Subspace Clustering
AISTATS 2018
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization
NeurIPS 2018
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds
NeurIPS 2018
Dimensionality's Blessing: Clustering Images by Underlying Distribution
CVPR 2018
Diminishing Returns Shape Constraints for Interpretability and Regularization
NeurIPS 2018
DIMSIM: An Accurate Chinese Phonetic Similarity Algorithm Based on Learned High Dimensional Encoding
CoNLL 2018
Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings
NAACL 2018
Direct Learning to Rank And Rerank
AISTATS 2018
Direct Output Connection for a High-Rank Language Model
EMNLP 2018
Direct Shape Regression Networks for End-to-End Face Alignment
CVPR 2018
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification
NeurIPS 2018
Dirichlet belief networks for topic structure learning
NeurIPS 2018
Disambiguated skip-gram model
EMNLP 2018
Disambiguating False-Alarm Hashtag Usages in Tweets for Irony Detection
ACL 2018
Disconnected Manifold Learning for Generative Adversarial Networks
NeurIPS 2018
Disconnected Recurrent Neural Networks for Text Categorization
ACL 2018
Discourse Coherence: Concurrent Explicit and Implicit Relations
ACL 2018