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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
51
357
966
4,853
5,823
2000
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Papers (including subtopics)

A no-regret generalization of hierarchical softmax to extreme multi-label classification NeurIPS 2018 A Novel Approach for Effective Recognition of the Code-Switched Data on Monolingual Language Model Interspeech 2018 A Novel Approach to Handle Inference in Discrete Markov Networks with Large Label Sets PGM 2018 A Novel Approach to Part Name Discovery in Noisy Text NAACL 2018 A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios IJCAI 2018 A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network NAACL 2018 A Novel Normalization Method for Autocorrelation Function for Pitch Detection and for Speech Activity Detection Interspeech 2018 A Novel Whisker Sensor Used for 3D Contact Point Determination and Contour Extraction RSS 2018 ANRL: Attributed Network Representation Learning via Deep Neural Networks IJCAI 2018 Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog NeurIPS 2018 An Unsupervised Learning Model for Deformable Medical Image Registration CVPR 2018 An Unsupervised Neural Prediction Framework for Learning Speaker Embeddings Using Recurrent Neural Networks Interspeech 2018 An Unsupervised System for Parallel Corpus Filtering EMNLP 2018 A partial orthogonalization method for simulating covariance and concentration graph matrices PGM 2018 A Perceptual Measure for Deep Single Image Camera Calibration CVPR 2018 A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning CoRL 2018 Apollo at SemEval-2018 Task 9: Detecting Hypernymy Relations Using Syntactic Dependencies SemEval 2018 A Pose-Sensitive Embedding for Person Re-Identification With Expanded Cross Neighborhood Re-Ranking CVPR 2018 A POS Tagging Model Adapted to Learner English EMNLP 2018 Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions ICML 2018 Approximate Submodularity and its Applications: Subset Selection, Sparse Approximation and Dictionary Selection JMLR 2018 Approximating Real-Time Recurrent Learning with Random Kronecker Factors NeurIPS 2018 Approximating the maximum weighted decomposable graph problem with applications to probabilistic graphical models PGM 2018 Approximation algorithms for stochastic clustering NeurIPS 2018 A Practical Algorithm for Distributed Clustering and Outlier Detection NeurIPS 2018