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Neural Networks

11,723 papers

Papers per year

25
148
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Papers

Synthesizing the preferred inputs for neurons in neural networks via deep generator networks NIPS 2016
CliqueCNN: Deep Unsupervised Exemplar Learning NIPS 2016
Backprop KF: Learning Discriminative Deterministic State Estimators NIPS 2016
Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations NIPS 2016
Composing graphical models with neural networks for structured representations and fast inference NIPS 2016
Architectural Complexity Measures of Recurrent Neural Networks NIPS 2016
Using Fast Weights to Attend to the Recent Past NIPS 2016
Learning What and Where to Draw NIPS 2016
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity NIPS 2016
Unsupervised Domain Adaptation with Residual Transfer Networks NIPS 2016
Tensor Switching Networks NIPS 2016
Universal Correspondence Network NIPS 2016
Doubly Convolutional Neural Networks NIPS 2016
LightRNN: Memory and Computation-Efficient Recurrent Neural Networks NIPS 2016
Swapout: Learning an ensemble of deep architectures NIPS 2016
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks NIPS 2016
Full-Capacity Unitary Recurrent Neural Networks NIPS 2016
Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision NIPS 2016
Dense Associative Memory for Pattern Recognition NIPS 2016
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions NIPS 2016
Deep Learning without Poor Local Minima NIPS 2016
On Multiplicative Integration with Recurrent Neural Networks NIPS 2016
Visual Question Answering with Question Representation Update (QRU) NIPS 2016
Natural-Parameter Networks: A Class of Probabilistic Neural Networks NIPS 2016
Long Short-term Memory Network over Rhetorical Structure Theory for Sentence-level Sentiment Analysis ACML 2016