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Deep Learning

78,198 papers (26 classified directly here)

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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