Deep Learning
78,198 papers (26 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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5
1
2
47
50
53
51
87
90
125
229
234
453
859
1,652
3,233
5,368
6,434
7,726
8,506
9,951
12,524
14,487
6,029
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Papers (including subtopics)
Discussion of “The Neural Autoregressive Distribution Estimator”
AISTATS 2011
Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection
NeurIPS 2011
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
NeurIPS 2011
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning
NeurIPS 2011
Empirical models of spiking in neural populations
NeurIPS 2011
Expressive Power and Approximation Errors of Restricted Boltzmann Machines
NeurIPS 2011
Extracting Speaker-Specific Information with a Regularized Siamese Deep Network
NeurIPS 2011
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines
NeurIPS 2011
From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models
NeurIPS 2011
Generalized Beta Mixtures of Gaussians
NeurIPS 2011
Generalized Lasso based Approximation of Sparse Coding for Visual Recognition
NeurIPS 2011
Generative Kernels for Exponential Families
AISTATS 2011
Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent
NeurIPS 2011
Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms
NeurIPS 2011
History distribution matching method for predicting effectiveness of HIV combination therapies
NeurIPS 2011
Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
NeurIPS 2011
How Do Humans Teach: On Curriculum Learning and Teaching Dimension
NeurIPS 2011
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning
NeurIPS 2011
Im2Text: Describing Images Using 1 Million Captioned Photographs
NeurIPS 2011
In All Likelihood, Deep Belief Is Not Enough
JMLR 2011
Kernel Analysis of Deep Networks
JMLR 2011
Laplacian Support Vector Machines Trained in the Primal
JMLR 2011
Large-Scale Category Structure Aware Image Categorization
NeurIPS 2011
Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM
AISTATS 2011
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities
NeurIPS 2011