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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)

Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces NeurIPS 2014 Logistic Regression: Tight Bounds for Stochastic and Online Optimization COLT 2014 Low-dimensional models of neural population activity in sensory cortical circuits NeurIPS 2014 Lower Bounds on the Performance of Polynomial-time Algorithms for Sparse Linear Regression COLT 2014 Low Rank Approximation Lower Bounds in Row-Update Streams NeurIPS 2014 Low-Rank Time-Frequency Synthesis NeurIPS 2014 Magnitude-sensitive preference formation` NeurIPS 2014 Making Fisher Discriminant Analysis Scalable ICML 2014 Making Pairwise Binary Graphical Models Attractive NeurIPS 2014 Making the Most of Bag of Words: Sentence Regularization with Alternating Direction Method of Multipliers ICML 2014 Manifold Based Dynamic Texture Synthesis from Extremely Few Samples CVPR 2014 Marginalized Denoising Auto-encoders for Nonlinear Representations ICML 2014 Marginal Structured SVM with Hidden Variables ICML 2014 Margins, Kernels and Non-linear Smoothed Perceptrons ICML 2014 Matrix Completion with the Trace Norm: Learning, Bounding, and Transducing JMLR 2014 Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis CVPR 2014 Maximum Margin Multiclass Nearest Neighbors ICML 2014 Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection ICML 2014 Max-Margin Boltzmann Machines for Object Segmentation CVPR 2014 Max-Margin Infinite Hidden Markov Models ICML 2014 Measuring Distance Between Unordered Sets of Different Sizes CVPR 2014 Median Selection Subset Aggregation for Parallel Inference NeurIPS 2014 Memory and Computation Efficient PCA via Very Sparse Random Projections ICML 2014 Memory Efficient Kernel Approximation ICML 2014 Merging SVMs with Linear Discriminant Analysis: A Combined Model CVPR 2014