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)
Scalable Greedy Feature Selection via Weak Submodularity
AISTATS 2017
Scalable Model Selection for Belief Networks
NeurIPS 2017
Scalable Multi-Class Gaussian Process Classification using Expectation Propagation
ICML 2017
Scalable Normalized Cut with Improved Spectral Rotation
IJCAI 2017
Scalable Person Re-Identification on Supervised Smoothed Manifold
CVPR 2017
Scale-Invariant Recognition by Weight-Shared CNNs in Parallel
ACML 2017
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction
ICML 2017
SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations
EMNLP 2017
Scene Graph Generation by Iterative Message Passing
CVPR 2017
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
NeurIPS 2017
Scientific Information Extraction with Semi-supervised Neural Tagging
EMNLP 2017
Second-Order Kernel Online Convex Optimization with Adaptive Sketching
ICML 2017
See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-Identification
CVPR 2017
See without looking: joint visualization of sensitive multi-site datasets
IJCAI 2017
SEF@UHH at SemEval-2017 Task 1: Unsupervised Knowledge-Free Semantic Textual Similarity via Paragraph Vector
SemEval 2017
Segmentation-Free Word Embedding for Unsegmented Languages
EMNLP 2017
Selective Classification for Deep Neural Networks
NeurIPS 2017
Selective Inference for Sparse High-Order Interaction Models
ICML 2017
Self-Adjusting Memory: How to Deal with Diverse Drift Types
IJCAI 2017
Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model
CVPR 2017
Self-paced Compensatory Deep Boltzmann Machine for Semi-Structured Document Embedding
IJCAI 2017
Self-paced Mixture of Regressions
IJCAI 2017
Self-Paced Multitask Learning with Shared Knowledge
IJCAI 2017
Self-Supervised Learning of Visual Features Through Embedding Images Into Text Topic Spaces
CVPR 2017
Self-weighted Multiview Clustering with Multiple Graphs
IJCAI 2017