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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)

Generalised Coupled Tensor Factorisation NIPS 2011
Portmanteau Vocabularies for Multi-Cue Image Representation NIPS 2011
Online Submodular Set Cover, Ranking, and Repeated Active Learning NIPS 2011
The Fast Convergence of Boosting NIPS 2011
See the Tree Through the Lines: The Shazoo Algorithm NIPS 2011
Boosting with Maximum Adaptive Sampling NIPS 2011
Efficient anomaly detection using bipartite k-NN graphs NIPS 2011
Shallow vs. Deep Sum-Product Networks NIPS 2011
Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators NIPS 2011
Learning to Agglomerate Superpixel Hierarchies NIPS 2011
Structured Learning for Cell Tracking NIPS 2011
Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices NIPS 2011
Selecting the State-Representation in Reinforcement Learning NIPS 2011
Semantic Labeling of 3D Point Clouds for Indoor Scenes NIPS 2011
Higher-Order Correlation Clustering for Image Segmentation NIPS 2011
Learning large-margin halfspaces with more malicious noise NIPS 2011
The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning NIPS 2011
Infinite Latent SVM for Classification and Multi-task Learning NIPS 2011
On U-processes and clustering performance NIPS 2011
Robust Lasso with missing and grossly corrupted observations NIPS 2011
Select and Sample - A Model of Efficient Neural Inference and Learning NIPS 2011
Clustered Multi-Task Learning Via Alternating Structure Optimization NIPS 2011
On Learning Discrete Graphical Models using Greedy Methods NIPS 2011
Learning person-object interactions for action recognition in still images NIPS 2011
Efficient inference in matrix-variate Gaussian models with \iid observation noise NIPS 2011