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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)

Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks NIPS 2007
Locality and low-dimensions in the prediction of natural experience from fMRI NIPS 2007
Configuration Estimates Improve Pedestrian Finding NIPS 2007
A General Boosting Method and its Application to Learning Ranking Functions for Web Search NIPS 2007
Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations NIPS 2007
GRIFT: A graphical model for inferring visual classification features from human data NIPS 2007
An in-silico Neural Model of Dynamic Routing through Neuronal Coherence NIPS 2007
Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons NIPS 2007
Hidden Common Cause Relations in Relational Learning NIPS 2007
Modeling image patches with a directed hierarchy of Markov random fields NIPS 2007
The Generalized FITC Approximation NIPS 2007
Cooled and Relaxed Survey Propagation for MRFs NIPS 2007
A Spectral Regularization Framework for Multi-Task Structure Learning NIPS 2007
CPR for CSPs: A Probabilistic Relaxation of Constraint Propagation NIPS 2007
A New View of Automatic Relevance Determination NIPS 2007
Discriminative Log-Linear Grammars with Latent Variables NIPS 2007
HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation NIPS 2007
Learning the structure of manifolds using random projections NIPS 2007
Learning Monotonic Transformations for Classification NIPS 2007
Semi-Supervised Multitask Learning NIPS 2007
Discriminative K-means for Clustering NIPS 2007
Heterogeneous Component Analysis NIPS 2007
An Analysis of Inference with the Universum NIPS 2007
Exponential Family Predictive Representations of State NIPS 2007
One-Pass Boosting NIPS 2007