Architectures
30,950 papers (33 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
2
3
15
13
18
17
27
39
43
74
94
221
536
912
1,611
2,559
3,004
3,504
3,729
4,021
4,550
4,519
1,439
'10
'15
'20
'25
Papers (including subtopics)
A dynamic excitatory-inhibitory network in a VLSI chip for spiking information reregistrations
NeurIPS 2012
A Hybrid Neural Network-Latent Topic Model
AISTATS 2012
Analog readout for optical reservoir computers
NeurIPS 2012
A Neural Autoregressive Topic Model
NeurIPS 2012
Cardinality Restricted Boltzmann Machines
NeurIPS 2012
Cocktail Party Processing via Structured Prediction
NeurIPS 2012
Compressive neural representation of sparse, high-dimensional probabilities
NeurIPS 2012
Convolutional-Recursive Deep Learning for 3D Object Classification
NeurIPS 2012
Deep Boltzmann Machines as Feed-Forward Hierarchies
AISTATS 2012
Deep Learning Made Easier by Linear Transformations in Perceptrons
AISTATS 2012
Deep Learning of Invariant Features via Simulated Fixations in Video
NeurIPS 2012
Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images
NeurIPS 2012
Deep Representations and Codes for Image Auto-Annotation
NeurIPS 2012
Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction
NeurIPS 2012
Delay Compensation with Dynamical Synapses
NeurIPS 2012
Discriminative Learning of Sum-Product Networks
NeurIPS 2012
Dynamical And-Or Graph Learning for Object Shape Modeling and Detection
NeurIPS 2012
Efficient and direct estimation of a neural subunit model for sensory coding
NeurIPS 2012
Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model
NeurIPS 2012
Fusion with Diffusion for Robust Visual Tracking
NeurIPS 2012
Image Denoising and Inpainting with Deep Neural Networks
NeurIPS 2012
ImageNet Classification with Deep Convolutional Neural Networks
NeurIPS 2012
Krylov Subspace Descent for Deep Learning
AISTATS 2012
Large Scale Distributed Deep Networks
NeurIPS 2012
Learning Invariant Representations of Molecules for Atomization Energy Prediction
NeurIPS 2012