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Core Methods

48,729 papers (8 classified directly here)

Subtopics

Representation Learning (20,822) Classification (15,805) Regression (5,004) Embedding Learning (3,753) Clustering (3,638) Metric Learning (2,854) Graph Neural Networks (1,141) Graphical Models (985) Feature Learning (860) Dimensionality Reduction (707) Kernel Methods (642) Interpretability (499) Feature Selection (479) Matrix Factorization (383) Ranking (283) Ensemble Methods (267) Anomaly Detection (267) Support Vector Machine (254) Sequence Modeling (237) Structured Prediction (205) Sequence Labeling (166) Topic Modeling (123) Sparse Coding (107) Matrix Completion (103) Retrieval (99) Neural Networks (79) Inference (21) Model Selection (19) Decision Tree (16) Prediction (15) Density Estimation (9) Estimation (8) Feature Extraction (7) Information Extraction (7)

Papers per year

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Papers (including subtopics)

Supervised Topic Models NIPS 2007
A Kernel Statistical Test of Independence NIPS 2007
Discriminative Keyword Selection Using Support Vector Machines NIPS 2007
Probabilistic Matrix Factorization NIPS 2007
Density Estimation under Independent Similarly Distributed Sampling Assumptions NIPS 2007
Efficient Inference for Distributions on Permutations NIPS 2007
Blind channel identification for speech dereverberation using l1-norm sparse learning NIPS 2007
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression NIPS 2007
Agreement-Based Learning NIPS 2007
A Bayesian Framework for Cross-Situational Word-Learning NIPS 2007
Parallelizing Support Vector Machines on Distributed Computers NIPS 2007
Object Recognition by Scene Alignment NIPS 2007
Catching Change-points with Lasso NIPS 2007
Feature Selection Methods for Improving Protein Structure Prediction with Rosetta NIPS 2007
Spatial Latent Dirichlet Allocation NIPS 2007
Hierarchical Penalization NIPS 2007
Linear programming analysis of loopy belief propagation for weighted matching NIPS 2007
Learning Horizontal Connections in a Sparse Coding Model of Natural Images NIPS 2007
COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking NIPS 2007
Infinite State Bayes-Nets for Structured Domains NIPS 2007
Regularized Boost for Semi-Supervised Learning NIPS 2007
Consistent Minimization of Clustering Objective Functions NIPS 2007
Non-parametric Modeling of Partially Ranked Data NIPS 2007
Multiple-Instance Pruning For Learning Efficient Cascade Detectors NIPS 2007
Nonlinear Boosting Projections for Ensemble Construction JMLR 2007