NIPS is a single-track machine learning and computational neuroscience conference that includes invited talks, demonstrations and oral and poster presentations of refereed papers.

Deep Learning without Poor Local Minima

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

R-FCN: Object Detection via Region-based Fully Convolutional Networks

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

Synthesizing the preferred inputs for neurons in neural networks via deep generator networks

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

SoundNet: Learning Sound Representations from Unlabeled Video

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

Disentangling factors of variation in deep representation using adversarial training

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

An Online Sequence-to-Sequence Model Using Partial Conditioning

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

Can Active Memory Replace Attention?

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

On Multiplicative Integration with Recurrent Neural Networks

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

Architectural Complexity Measures of Recurrent Neural Networks

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

Deep ADMM-Net for Compressive Sensing MRI

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

Doubly Convolutional Neural Networks

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2016 via Local Bibsonomy

Keywords: dblp

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning

arXiv e-Print archive - 2016 via Local arXiv

Keywords: cs.AI, cs.LG

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arXiv e-Print archive - 2016 via Local arXiv

Keywords: cs.AI, cs.LG

Reward Augmented Maximum Likelihood for Neural Structured Prediction

arXiv e-Print archive - 2016 via Local arXiv

Keywords: cs.LG

more

arXiv e-Print archive - 2016 via Local arXiv

Keywords: cs.LG

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