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Machine Learning

121,146 papers (10 classified directly here)

Subtopics

Learning Types (52,936) Core Methods (48,729) Optimization & Theory (36,874) Application Areas (31,658) Bayesian & Probabilistic (3,963) Learning Paradigms (2,054)

Papers per year

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Papers (including subtopics)

Prediction strategies without loss NIPS 2011
Maximum Margin Multi-Instance Learning NIPS 2011
Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals NIPS 2011
Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons 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
Video Annotation and Tracking with Active Learning 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
Analytical Results for the Error in Filtering of Gaussian Processes NIPS 2011
Active Learning with a Drifting Distribution NIPS 2011
Evaluating the inverse decision-making approach to preference learning NIPS 2011
Policy Gradient Coagent Networks NIPS 2011
Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning NIPS 2011
Spectral Methods for Learning Multivariate Latent Tree Structure NIPS 2011
Query-Aware MCMC NIPS 2011
Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent 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