about
Recurrent Relational NetworksGeneralisation in humans and deep neural networksLeveraging the Exact Likelihood of Deep Latent Variable ModelsEfficient Algorithms for Non-convex Isotonic Regression through Submodular OptimizationStructure-Aware Convolutional Neural NetworksKalman Normalization: Normalizing Internal Representations Across Network LayersHOGWILD!-Gibbs can be PanAccurateText-Adaptive Generative Adversarial Networks: Manipulating Images with Natural LanguageIntroVAE: Introspective Variational Autoencoders for Photographic Image SynthesisDoubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-DivergencesAdapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer LearningGeneralized Inverse Optimization through Online LearningAn Off-policy Policy Gradient Theorem Using Emphatic WeightingsSupervised autoencoders: Improving generalization performance with unsupervised regularizersVisual Object Networks: Image Generation with Disentangled 3D RepresentationsUnderstanding Weight Normalized Deep Neural Networks with Rectified Linear UnitsLearning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics ProblemsLearning long-range spatial dependencies with horizontal gated recurrent unitsJoint Sub-bands Learning with Clique Structures for Wavelet Domain Super-ResolutionFast Similarity Search via Optimal Sparse LiftingLearning Deep Disentangled Embeddings With the F-Statistic LossGeometrically Coupled Monte Carlo SamplingCooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose EstimationAn Efficient Pruning Algorithm for Robust Isotonic RegressionPAC-learning in the presence of adversariesSparse DNNs with Improved Adversarial RobustnessSnap ML: A Hierarchical Framework for Machine LearningSee and Think: Disentangling Semantic Scene CompletionChain of Reasoning for Visual Question AnsweringSigsoftmax: Reanalysis of the Softmax BottleneckDeep Non-Blind Deconvolution via Generalized Low-Rank ApproximationBayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMCMetaAnchor: Learning to Detect Objects with Customized AnchorsImage Inpainting via Generative Multi-column Convolutional Neural NetworksOn Misinformation Containment in Online Social NetworksA^2-Nets: Double Attention NetworksSelf-Supervised Generation of Spatial Audio for 360° VideoHow Many Samples are Needed to Estimate a Convolutional Neural Network?Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically BalancedOptimization for Approximate Submodularity
P1433
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P1433
description
proceedings from NeurIPS 2018 (NIPS) conference
@en
name
Advances in Neural Information Processing Systems 31
@da
Advances in Neural Information Processing Systems 31
@de
Advances in Neural Information Processing Systems 31
@en
type
label
Advances in Neural Information Processing Systems 31
@da
Advances in Neural Information Processing Systems 31
@de
Advances in Neural Information Processing Systems 31
@en
altLabel
NIPS 2018 proceedings
@da
NIPS 2018 proceedings
@en
NIPS 2018
@da
NIPS 2018
@de
NIPS 2018
@en
prefLabel
Advances in Neural Information Processing Systems 31
@da
Advances in Neural Information Processing Systems 31
@de
Advances in Neural Information Processing Systems 31
@en
P98
P1813
NIPS 2018
@en
P31
P407
P577
2018-12-01T00:00:00Z