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Neural Networks

11300 directly classified papers

Papers per year

Papers

Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream NIPS 2013
Locally-Linear Learning Machines (L3M) ACML 2013
Distributed Representations of Words and Phrases and their Compositionality NIPS 2013
Sparse Activity and Sparse Connectivity in Supervised Learning JMLR 2013
SCaLE: Supervised and Cascaded Laplacian Eigenmaps for Visual Object Recognition Based on Nearest Neighbors CVPR 2013
Deep Learning Shape Priors for Object Segmentation CVPR 2013
Correlations strike back (again): the case of associative memory retrieval NIPS 2013
Supervised Sparse Analysis and Synthesis Operators NIPS 2013
Capturing Global Semantic Relationships for Facial Action Unit Recognition ICCV 2013
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
Deep Learning Made Easier by Linear Transformations in Perceptrons AISTATS 2012
Krylov Subspace Descent for Deep Learning AISTATS 2012
Discriminative Learning of Sum-Product Networks NIPS 2012
Dynamical And-Or Graph Learning for Object Shape Modeling and Detection NIPS 2012
Compressive neural representation of sparse, high-dimensional probabilities NIPS 2012
Learning with Recursive Perceptual Representations NIPS 2012
Cocktail Party Processing via Structured Prediction NIPS 2012
Spiking and saturating dendrites differentially expand single neuron computation capacity NIPS 2012
ImageNet Classification with Deep Convolutional Neural Networks NIPS 2012
A Hybrid Neural Network-Latent Topic Model AISTATS 2012
Learning the Architecture of Sum-Product Networks Using Clustering on Variables NIPS 2012
Multiresolution Deep Belief Networks AISTATS 2012