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)
The Teaching Dimension of Linear Learners
JMLR 2016
The Unit of Speech Encoding: The Case of Romanian
Interspeech 2016
The USTC System for Voice Conversion Challenge 2016: Neural Network Based Approaches for Spectrum, Aperiodicity and F0Conversion
Interspeech 2016
The Variational Nystrom method for large-scale spectral problems
ICML 2016
They Are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers
CVPR 2016
THU-EE System Description for NIST LRE 2015
Interspeech 2016
Tight Variational Bounds via Random Projections and I-Projections
AISTATS 2016
TI-Pooling: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks
CVPR 2016
Tone Classification in Mandarin Chinese Using Convolutional Neural Networks
Interspeech 2016
Topic-Based Embeddings for Learning from Large Knowledge Graphs
AISTATS 2016
Topic-Informed Neural Machine Translation
COLING 2016
Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers
NeurIPS 2016
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity
NeurIPS 2016
Toward Development and Evaluation of Pain Level-Rating Scale for Emergency Triage based on Vocal Characteristics and Facial Expressions
Interspeech 2016
Toward High-Performance Language-Independent Query-by-Example Spoken Term Detection for MediaEval 2015: Post-Evaluation Analysis
Interspeech 2016
Towards an Automated Screening Tool for Developmental Speech and Language Impairments
Interspeech 2016
Towards Conceptual Compression
NeurIPS 2016
Towards Machine Comprehension of Spoken Content: Initial TOEFL Listening Comprehension Test by Machine
Interspeech 2016
Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition
JMLR 2016
Towards Open Set Deep Networks
CVPR 2016
TPOT: A Tree-based Pipeline Optimization Tool for Automating Machine Learning
AutoML 2016
Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations
CVPR 2016
Tracking Contours of Orofacial Articulators from Real-Time MRI of Speech
Interspeech 2016
Tractable Operations for Arithmetic Circuits of Probabilistic Models
NeurIPS 2016
Traffic-Sign Detection and Classification in the Wild
CVPR 2016