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Neural Networks

11300 directly classified papers

Papers per year

Papers

Deep Learning Made Easier by Linear Transformations in Perceptrons AISTATS 2012
Krylov Subspace Descent for Deep Learning AISTATS 2012
Learning to Align from Scratch NIPS 2012
Delay Compensation with Dynamical Synapses NIPS 2012
Efficient and direct estimation of a neural subunit model for sensory coding NIPS 2012
3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model NIPS 2012
Waveform Driven Plasticity in BiFeO3 Memristive Devices: Model and Implementation NIPS 2012
Learning with Recursive Perceptual Representations NIPS 2012
Cocktail Party Processing via Structured Prediction NIPS 2012
Cardinality Restricted Boltzmann Machines NIPS 2012
Spiking and saturating dendrites differentially expand single neuron computation capacity NIPS 2012
Dynamical And-Or Graph Learning for Object Shape Modeling and Detection NIPS 2012
Discriminative Learning of Sum-Product Networks NIPS 2012
Compressive neural representation of sparse, high-dimensional probabilities NIPS 2012
Structured sparse coding via lateral inhibition NIPS 2011
Select and Sample - A Model of Efficient Neural Inference and Learning NIPS 2011
Sparse Filtering NIPS 2011
Two-Layer Multiple Kernel Learning AISTATS 2011
Natural Language Processing (Almost) from Scratch JMLR 2011
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines NIPS 2011
From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models NIPS 2011
Active dendrites: adaptation to spike-based communication NIPS 2011
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials NIPS 2011
Algorithms for Hyper-Parameter Optimization NIPS 2011
Extracting Speaker-Specific Information with a Regularized Siamese Deep Network NIPS 2011