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)
Online Unsupervised Learning of the 3D Kinematic Structure of Arbitrary Rigid Bodies
ICCV 2019
Online-Within-Online Meta-Learning
NeurIPS 2019
On Making Stochastic Classifiers Deterministic
NeurIPS 2019
On Medians of (Randomized) Pairwise Means
ICML 2019
On Nonlinear Spatial Filtering in Multichannel Speech Enhancement
Interspeech 2019
On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training
ICLR 2019
On Robustness of Principal Component Regression
NeurIPS 2019
On Sentence Representations for Propaganda Detection: From Handcrafted Features to Word Embeddings
EMNLP 2019
On Single Source Robustness in Deep Fusion Models
NeurIPS 2019
On Sparse Linear Regression in the Local Differential Privacy Model
ICML 2019
On the Accuracy of Influence Functions for Measuring Group Effects
NeurIPS 2019
On the Calibration of Multiclass Classification with Rejection
NeurIPS 2019
On the Complexity of Approximating Wasserstein Barycenters
ICML 2019
On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings
ACL 2019
On the Convergence of Gaussian Belief Propagation with Nodes of Arbitrary Size
JMLR 2019
On the Distribution of Deep Clausal Embeddings: A Large Cross-linguistic Study
ACL 2019
On the Downstream Performance of Compressed Word Embeddings
NeurIPS 2019
On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning
EMNLP 2019
On the equivalence between graph isomorphism testing and function approximation with GNNs
NeurIPS 2019
On the Fairness of Disentangled Representations
NeurIPS 2019
On the Importance of Distinguishing Word Meaning Representations: A Case Study on Reverse Dictionary Mapping
NAACL 2019
On the Inductive Bias of Neural Tangent Kernels
NeurIPS 2019
On the Interaction Effects Between Prediction and Clustering
AISTATS 2019
On the Intrinsic Dimensionality of Image Representations
CVPR 2019
On the Limitations of Representing Functions on Sets
ICML 2019