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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)

Meta–Gradient Boosted Decision Tree Model for Weight and Target Learning ICML 2016 Metric Learning as Convex Combinations of Local Models With Generalization Guarantees CVPR 2016 Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs ICML 2016 Minimax Adaptive Estimation of Nonparametric Hidden Markov Models JMLR 2016 Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels NeurIPS 2016 Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning NeurIPS 2016 Minimization of Regression and Ranking Losses with Shallow Neural Networks on Automatic Sincerity Evaluation Interspeech 2016 Minimum Density Hyperplanes JMLR 2016 Mining 3D Key-Pose-Motifs for Action Recognition CVPR 2016 Mining Discriminative Triplets of Patches for Fine-Grained Classification CVPR 2016 Mistake Bounds for Binary Matrix Completion NeurIPS 2016 Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations MLHC 2016 Mixed Linear Regression with Multiple Components NeurIPS 2016 Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis CVPR 2016 ML Parameter Generation with a Reformulated MGE Training Criterion — Participation in the Voice Conversion Challenge 2016 Interspeech 2016 mlr: Machine Learning in R JMLR 2016 Modality and Component Aware Feature Fusion For RGB-D Scene Classification CVPR 2016 Model-based Co-clustering for High Dimensional Sparse Data AISTATS 2016 Model-Based Parametric Prosody Synthesis with Deep Neural Network Interspeech 2016 Model-free Variable Selection in Reproducing Kernel Hilbert Space JMLR 2016 Modeling Context-sensitive Selectional Preference with Distributed Representations COLING 2016 Modeling Discourse Segments in Lyrics Using Repeated Patterns COLING 2016 Modeling Noise Influence to Speech Intelligibility Non-Intrusively by Reduced Speech Dynamic Range Interspeech 2016 Modeling Time-Frequency Patterns with LSTM vs. Convolutional Architectures for LVCSR Tasks Interspeech 2016 Modelling Interactions in High-dimensional Data with Backtracking JMLR 2016