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)
Virtual Adversarial Training Applied to Neural Higher-Order Factors for Phone Classification
Interspeech 2016
Visually Indicated Sounds
CVPR 2016
Visual Path Prediction in Complex Scenes With Crowded Moving Objects
CVPR 2016
Visual Question Answering with Question Representation Update (QRU)
NeurIPS 2016
Visual Tracking Using Attention-Modulated Disintegration and Integration
CVPR 2016
Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings Using Abstract Scenes
CVPR 2016
Voice Conversion Based on Trajectory Model Training of Neural Networks Considering Global Variance
Interspeech 2016
Voice-Quality Difference Between the Vowels in Filled Pauses and Ordinary Lexical Items
Interspeech 2016
Volumetric and Multi-View CNNs for Object Classification on 3D Data
CVPR 2016
Voting Detector: A Combination of Anomaly Detectors to Reveal Annotation Errors in TTS Corpora
Interspeech 2016
Vowel Characteristics in the Assessment of L2 English Pronunciation
Interspeech 2016
Wavelet decompositions of Random Forests - smoothness analysis, sparse approximation and applications
JMLR 2016
Web Data Selection Based on Word Embedding for Low-Resource Speech Recognition
Interspeech 2016
Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification
COLING 2016
What Makes Objects Similar: A Unified Multi-Metric Learning Approach
NeurIPS 2016
What Sparse Light Field Coding Reveals About Scene Structure
CVPR 2016
When can we rank well from comparisons of O(n\log(n)) non-actively chosen pairs?
COLT 2016
When Naive Bayes Nearest Neighbors Meet Convolutional Neural Networks
CVPR 2016
When VLAD Met Hilbert
CVPR 2016
Why do ASR Systems Despite Neural Nets Still Depend on Robust Features
Interspeech 2016
Why Regularized Auto-Encoders learn Sparse Representation?
ICML 2016
Word2Vec vs DBnary: Augmenting METEOR using Vector Representations or Lexical Resources?
COLING 2016
Word Embeddings, Analogies, and Machine Learning: Beyond king - man + woman = queen
COLING 2016
Word Embeddings and Convolutional Neural Network for Arabic Sentiment Classification
COLING 2016
WordForce: Visualizing Controversial Words in Debates
COLING 2016