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)

Probabilistic Joint Image Segmentation and Labeling NeurIPS 2011 Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations NeurIPS 2011 Projection onto A Nonnegative Max-Heap NeurIPS 2011 Proximal Methods for Hierarchical Sparse Coding JMLR 2011 Pylon Model for Semantic Segmentation NeurIPS 2011 Query-Aware MCMC NeurIPS 2011 Randomized Algorithms for Comparison-based Search NeurIPS 2011 Ranking annotators for crowdsourced labeling tasks NeurIPS 2011 Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound NeurIPS 2011 Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach JMLR 2011 Regularized Laplacian Estimation and Fast Eigenvector Approximation NeurIPS 2011 Reinforcement Learning using Kernel-Based Stochastic Factorization NeurIPS 2011 Relational Learning with One Network: An Asymptotic Analysis AISTATS 2011 Relative Density-Ratio Estimation for Robust Distribution Comparison NeurIPS 2011 Revisiting MAP Estimation, Message Passing and Perfect Graphs AISTATS 2011 Robust Bayesian Matrix Factorisation AISTATS 2011 Robust Gaussian Process Regression with a Student- Likelihood JMLR 2011 Robust Lasso with missing and grossly corrupted observations NeurIPS 2011 Robust Multi-Class Gaussian Process Classification NeurIPS 2011 RTRMC: A Riemannian trust-region method for low-rank matrix completion NeurIPS 2011 Sample Complexity Bounds for Differentially Private Learning COLT 2011 Scalable Training of Mixture Models via Coresets NeurIPS 2011 See the Tree Through the Lines: The Shazoo Algorithm NeurIPS 2011 Select and Sample - A Model of Efficient Neural Inference and Learning NeurIPS 2011 Selecting Receptive Fields in Deep Networks NeurIPS 2011