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Deep Learning

66,648 papers (25 classified directly here)

Subtopics

Learning Types (28,663) Architectures (27,448) Models (16,617) Techniques (8,241) Optimization & Theory (6,829) Application Areas (46)

Papers per year

2
65
428
6150
10854
'05
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Papers (including subtopics)

Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization NIPS 2011
Select and Sample - A Model of Efficient Neural Inference and Learning NIPS 2011
Generalized Beta Mixtures of Gaussians NIPS 2011
Variational Gaussian Process Dynamical Systems NIPS 2011
Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability NIPS 2011
Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent NIPS 2011
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials NIPS 2011
Active dendrites: adaptation to spike-based communication NIPS 2011
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NIPS 2011
The Manifold Tangent Classifier NIPS 2011
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines NIPS 2011
Large-Scale Category Structure Aware Image Categorization NIPS 2011
A Two-Stage Weighting Framework for Multi-Source Domain Adaptation NIPS 2011
Transfer Learning by Borrowing Examples for Multiclass Object Detection NIPS 2011
A blind sparse deconvolution method for neural spike identification NIPS 2011
Unsupervised learning models of primary cortical receptive fields and receptive field plasticity NIPS 2011
Probabilistic Joint Image Segmentation and Labeling NIPS 2011
Structured sparse coding via lateral inhibition NIPS 2011
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities NIPS 2011
The Fixed Points of Off-Policy TD NIPS 2011
Pylon Model for Semantic Segmentation NIPS 2011
Mixed-Variate Restricted Boltzmann Machines ACML 2011
Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Nets ACML 2011
The Neural Autoregressive Distribution Estimator AISTATS 2011
Discussion of “The Neural Autoregressive Distribution Estimator” AISTATS 2011