About: Advances in Neural Information Processing Systems 31

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proceedings from NeurIPS 2018 (NIPS) conference

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rdf:type	Item
description	proceedings from NeurIPS 2018 (NIPS) conference (en)
publication date	wds:Q56580288-86261b31-4f41-4bcf-d519-0f3e741aad5c
publication date	2018-12-01 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q56580288-34d50475-44d7-389c-76ad-ce07fad2afbe
language of work or name	English
rdfs: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)
skos: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)
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)
editor	wds:Q56580288-0ebd9620-4e65-b32f-dc53-9e6ed35a3d54 wds:Q56580288-35d1573a-4656-27c7-7249-e9b6d3192ad8 wds:Q56580288-656c0281-4341-6af5-2067-a84afc2c4c62 wds:Q56580288-7071a1d1-4564-6836-634f-b45b291daa00 wds:Q56580288-8fa0058d-4dc1-2341-36dc-07a054e778d3 wds:Q56580288-de9019d8-4242-6ed5-2c4d-581e40cc54e7
editor	Hanna Wallach Kristen Grauman Nicolò Cesa-Bianchi Samy Bengio Hugo Larochelle Roman Garnett
instance of	wds:Q56580288-342c2683-4d15-b0ed-cc18-cd65c289125b
instance of	proceedings
main subject	wds:Q56580288-6a50bfbd-4df3-49ff-d788-c558eb7a5eab
main subject	machine learning
short name	wds:Q56580288-000f2623-41c4-90f2-5f7d-9fb30c7e873b
short name	NIPS 2018 (en)
skos:altLabel	NIPS 2018 (da) NIPS 2018 (de) NIPS 2018 (en) NIPS 2018 proceedings (da) NIPS 2018 proceedings (en)
official website	wds:Q56580288-01205c17-4466-c66a-8f1b-0de484d6e50a
official website	https://papers.nips.cc/book/advances-in-neural-information-processing-systems-31-2018
part of the series	wds:Q56580288-a78710cf-4ce0-db41-975f-20938b120e0a
part of the series	Advances in Neural Information Processing Systems
is proceedings from	wds:Q56580288-f1046b3c-482c-7faa-f173-6427cb3fbf48
is proceedings from	Thirty-second Annual Conference on Neural Information Processing Systems
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q56580288
is published in of	HOGWILD!-Gibbs can be PanAccurate An Off-policy Policy Gradient Theorem Using Emphatic Weightings Fast Similarity Search via Optimal Sparse Lifting An Efficient Pruning Algorithm for Robust Isotonic Regression Sigsoftmax: Reanalysis of the Softmax Bottleneck Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation On Misinformation Containment in Online Social Networks Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator Are GANs Created Equal? A Large-Scale Study Large Margin Deep Networks for Classification Generalizing Graph Matching beyond Quadratic Assignment Model Discrimination-aware Channel Pruning for Deep Neural Networks DropMax: Adaptive Variational Softmax Empirical Risk Minimization in Non-interactive Local Differential Privacy Revisited Quadratic Decomposable Submodular Function Minimization Efficient nonmyopic batch active search FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection Generative Neural Machine Translation Found Graph Data and Planted Vertex Covers Multitask Boosting for Survival Analysis with Competing Risks Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning Multivariate Time Series Imputation with Generative Adversarial Networks Learning Versatile Filters for Efficient Convolutional Neural Networks Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization Enhancing the Accuracy and Fairness of Human Decision Making Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization Attention in Convolutional LSTM for Gesture Recognition Sequential Context Encoding for Duplicate Removal Norm matters: efficient and accurate normalization schemes in deep networks Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate Recurrent World Models Facilitate Policy Evolution Ridge Regression and Provable Deterministic Ridge Leverage Score Sampling Active Learning for Non-Parametric Regression Using Purely Random Trees Isolating Sources of Disentanglement in Variational Autoencoders Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering Natasha 2: Faster Non-Convex Optimization Than SGD Minimax Statistical Learning with Wasserstein distances Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base Optimistic optimization of a Brownian NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations Re-evaluating evaluation Speaker-Follower Models for Vision-and-Language Navigation Inequity aversion improves cooperation in intertemporal social dilemmas Actor-Critic Policy Optimization in Partially Observable Multiagent Environments Derivative Estimation in Random Design Why Is My Classifier Discriminatory? Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning Inferring Networks From Random Walk-Based Node Similarities Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization Sublinear Time Low-Rank Approximation of Distance Matrices Faster Online Learning of Optimal Threshold for Consistent F-measure Optimization Learning from discriminative feature feedback

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