conftrace_
← Architectures
Deep Learning › Architectures ›

Neural Networks

11,705 papers

Papers per year

25
148
1385
858
'10
'15
'20
'25

Papers

3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model NIPS 2012
Delay Compensation with Dynamical Synapses NIPS 2012
Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction NIPS 2012
Cardinality Restricted Boltzmann Machines NIPS 2012
Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model NIPS 2012
A Neural Autoregressive Topic Model NIPS 2012
ImageNet Classification with Deep Convolutional Neural Networks NIPS 2012
Learning to Align from Scratch NIPS 2012
Waveform Driven Plasticity in BiFeO3 Memristive Devices: Model and Implementation NIPS 2012
Learning the Architecture of Sum-Product Networks Using Clustering on Variables NIPS 2012
Deep Boltzmann Machines as Feed-Forward Hierarchies AISTATS 2012
Deep Learning Made Easier by Linear Transformations in Perceptrons AISTATS 2012
Multiresolution Deep Belief Networks AISTATS 2012
Krylov Subspace Descent for Deep Learning AISTATS 2012
A Hybrid Neural Network-Latent Topic Model AISTATS 2012
The Kernel Beta Process NIPS 2011
Variational Learning for Recurrent Spiking Networks NIPS 2011
Sparse Filtering NIPS 2011
Why The Brain Separates Face Recognition From Object Recognition NIPS 2011
A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm NIPS 2011
Extracting Speaker-Specific Information with a Regularized Siamese Deep Network NIPS 2011
Selecting Receptive Fields in Deep Networks NIPS 2011
Learning to Learn with Compound HD Models NIPS 2011
Sequence learning with hidden units in spiking neural networks NIPS 2011
From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models NIPS 2011