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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)

Subset Selection by Pareto Optimization NIPS 2015
Parallel Correlation Clustering on Big Graphs NIPS 2015
A Recurrent Latent Variable Model for Sequential Data NIPS 2015
Learning to Transduce with Unbounded Memory NIPS 2015
Submodular Hamming Metrics NIPS 2015
Deep Knowledge Tracing NIPS 2015
Tractable Learning for Complex Probability Queries NIPS 2015
Fast, Provable Algorithms for Isotonic Regression in all L_p-norms NIPS 2015
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction NIPS 2015
Robust PCA with compressed data NIPS 2015
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models NIPS 2015
Distributionally Robust Logistic Regression NIPS 2015
Online Prediction at the Limit of Zero Temperature NIPS 2015
Scalable Semi-Supervised Aggregation of Classifiers NIPS 2015
Deep Convolutional Inverse Graphics Network NIPS 2015
Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning NIPS 2015
Optimal Rates for Random Fourier Features NIPS 2015
Online F-Measure Optimization NIPS 2015
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM) NIPS 2015
Column Selection via Adaptive Sampling NIPS 2015
Discriminative Robust Transformation Learning NIPS 2015
Deep Poisson Factor Modeling NIPS 2015
Max-Margin Majority Voting for Learning from Crowds NIPS 2015
Embedding Inference for Structured Multilabel Prediction NIPS 2015
Spectral Learning of Large Structured HMMs for Comparative Epigenomics NIPS 2015