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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)

Hashing Algorithms for Large-Scale Learning NIPS 2011
The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers NIPS 2011
Regularized Laplacian Estimation and Fast Eigenvector Approximation NIPS 2011
The Doubly Correlated Nonparametric Topic Model NIPS 2011
Generalized Lasso based Approximation of Sparse Coding for Visual Recognition NIPS 2011
SpaRCS: Recovering low-rank and sparse matrices from compressive measurements NIPS 2011
Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors NIPS 2011
Maximum Margin Multi-Instance Learning NIPS 2011
Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals NIPS 2011
Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach NIPS 2011
Large-Scale Sparse Principal Component Analysis with Application to Text Data NIPS 2011
Nearest Neighbor based Greedy Coordinate Descent NIPS 2011
Convergent Bounds on the Euclidean Distance NIPS 2011
PiCoDes: Learning a Compact Code for Novel-Category Recognition NIPS 2011
Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation NIPS 2011
Sparse Filtering NIPS 2011
Beyond Spectral Clustering - Tight Relaxations of Balanced Graph Cuts NIPS 2011
Evaluating the inverse decision-making approach to preference learning NIPS 2011
Policy Gradient Coagent Networks NIPS 2011
Spectral Methods for Learning Multivariate Latent Tree Structure NIPS 2011
Query-Aware MCMC NIPS 2011
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning NIPS 2011
Sparse Recovery with Brownian Sensing NIPS 2011
Learning Anchor Planes for Classification NIPS 2011
Ranking annotators for crowdsourced labeling tasks NIPS 2011