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 Multitask Learning with Long-Term Memory
NeurIPS 2020
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling
AAAI 2020
Online Positive and Unlabeled Learning
IJCAI 2020
Online Robust Regression via SGD on the l1 loss
NeurIPS 2020
Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression
IJCAI 2020
Online Structured Meta-learning
NeurIPS 2020
Online Sufficient Dimension Reduction Through Sliced Inverse Regression
JMLR 2020
On Log-Loss Scores and (No) Privacy
EMNLP 2020
On Lp-norm Robustness of Ensemble Decision Stumps and Trees
ICML 2020
On lp-Support Vector Machines and Multidimensional Kernels
JMLR 2020
On Mahalanobis Distance in Functional Settings
JMLR 2020
On Metric DBSCAN with Low Doubling Dimension
IJCAI 2020
On Numerosity of Deep Neural Networks
NeurIPS 2020
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract)
IJCAI 2020
On Parameter Adaptation in Softmax-Based Cross-Entropy Loss for Improved Convergence Speed and Accuracy in DNN-Based Speaker Recognition
Interspeech 2020
On Power Laws in Deep Ensembles
NeurIPS 2020
On Pruning for Score-Based Bayesian Network Structure Learning
AISTATS 2020
On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis
AISTATS 2020
On ranking via sorting by estimated expected utility
NeurIPS 2020
On Second Order Behaviour in Augmented Neural ODEs
NeurIPS 2020
On Suboptimality of Least Squares with Application to Estimation of Convex Bodies
COLT 2020
On the Analysis of EM for truncated mixtures of two Gaussians
ALT 2020
On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent
JMLR 2020
On the Complexity of Proper Distribution-Free Learning of Linear Classifiers
ALT 2020
On the consistency of top-k surrogate losses
ICML 2020