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

21

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55

40

51

225

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249

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357

364

480

942

818

966

1,394

2,092

3,114

4,415

4,853

5,064

5,371

5,992

6,412

5,823

1,475

2000

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Papers (including subtopics)

Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition NeurIPS 2011 Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference AISTATS 2011 Forest Density Estimation JMLR 2011 From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models NeurIPS 2011 Gaussian Process Training with Input Noise NeurIPS 2011 Generalised Coupled Tensor Factorisation NeurIPS 2011 Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss NeurIPS 2011 Generalized Lasso based Approximation of Sparse Coding for Visual Recognition NeurIPS 2011 Generalizing from Several Related Classification Tasks to a New Unlabeled Sample NeurIPS 2011 Generative Kernels for Exponential Families AISTATS 2011 Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent NeurIPS 2011 Greedy Model Averaging NeurIPS 2011 Group Anomaly Detection using Flexible Genre Models NeurIPS 2011 Group Lasso Estimation of High-dimensional Covariance Matrices JMLR 2011 Group Orthogonal Matching Pursuit for Logistic Regression AISTATS 2011 Hashing Algorithms for Large-Scale Learning NeurIPS 2011 Heavy-tailed Distances for Gradient Based Image Descriptors NeurIPS 2011 Hidden-Unit Conditional Random Fields AISTATS 2011 Hierarchically Supervised Latent Dirichlet Allocation NeurIPS 2011 Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms NeurIPS 2011 Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation NeurIPS 2011 Hierarchical Probabilistic Models for Group Anomaly Detection AISTATS 2011 Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices NeurIPS 2011 High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions NeurIPS 2011 High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity NeurIPS 2011