Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

A learning framework for nearest neighbor search NeurIPS 2007 An Analysis of Convex Relaxations for MAP Estimation NeurIPS 2007 An Analysis of Inference with the Universum NeurIPS 2007 A neural network implementing optimal state estimation based on dynamic spike train decoding NeurIPS 2007 A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning JMLR 2007 A New View of Automatic Relevance Determination NeurIPS 2007 An in-silico Neural Model of Dynamic Routing through Neuronal Coherence NeurIPS 2007 An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression JMLR 2007 An online Hebbian learning rule that performs Independent Component Analysis NeurIPS 2007 A Nonparametric Statistical Approach to Clustering via Mode Identification JMLR 2007 Anytime Induction of Cost-sensitive Trees NeurIPS 2007 Anytime Learning of Decision Trees JMLR 2007 A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians JMLR 2007 A Randomized Algorithm for Large Scale Support Vector Learning NeurIPS 2007 A Risk Minimization Principle for a Class of Parzen Estimators NeurIPS 2007 A Spectral Regularization Framework for Multi-Task Structure Learning NeurIPS 2007 A Stochastic Algorithm for Feature Selection in Pattern Recognition JMLR 2007 Attribute-Efficient and Non-adaptive Learning of Parities and DNF Expressions JMLR 2007 Augmented Functional Time Series Representation and Forecasting with Gaussian Processes NeurIPS 2007 A Unified Continuous Optimization Framework for Center-Based Clustering Methods JMLR 2007 A Unified Near-Optimal Estimator For Dimension Reduction in l_α (0<α≤ 2) Using Stable Random Projections NeurIPS 2007 Automatic Generation of Social Tags for Music Recommendation NeurIPS 2007 Bayesian Agglomerative Clustering with Coalescents NeurIPS 2007 Bayesian Co-Training NeurIPS 2007 Bayesian Quadratic Discriminant Analysis JMLR 2007