nawersustainable.blogg.se

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A Sparse Interactive Model for Matrix Completion with Side Information Jin Lu, Guannan Liang, Jiangwen Sun, Jinbo Bi.An equivalence between high dimensional Bayes optimal inference and M-estimation Madhu Advani, Surya Ganguli.Budgeted stream-based active learning via adaptive submodular maximization Kaito Fujii, Hisashi Kashima.Convolutional Neural Fabrics Shreyas Saxena, Jakob Verbeek.Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks Noah Apthorpe, Alexander Riordan, Robert Aguilar, Jan Homann, Yi Gu, David Tank, H.

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A Theoretically Grounded Application of Dropout in Recurrent Neural Networks Yarin Gal, Zoubin Ghahramani.

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  • Dialog-based Language Learning Jason E.
  • Integrated perception with recurrent multi-task neural networks Hakan Bilen, Andrea Vedaldi.
  • A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics William Hoiles, Mihaela van der Schaar.
  • Exponential Family Embeddings Maja Rudolph, Francisco Ruiz, Stephan Mandt, David Blei.
  • Fast Distributed Submodular Cover: Public-Private Data Summarization Baharan Mirzasoleiman, Morteza Zadimoghaddam, Amin Karbasi.
  • Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst.
  • Approximate maximum entropy principles via Goemans-Williamson with applications to provable variational methods Andrej Risteski, Yuanzhi Li.
  • Generating Videos with Scene Dynamics Carl Vondrick, Hamed Pirsiavash, Antonio Torralba.
  • Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo Alain Durmus, Umut Simsekli, Eric Moulines, Roland Badeau, Gaël RICHARD.
  • Achieving budget-optimality with adaptive schemes in crowdsourcing Ashish Khetan, Sewoong Oh.
  • Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks Tianfan Xue, Jiajun Wu, Katherine Bouman, Bill Freeman.
  • Bayesian Intermittent Demand Forecasting for Large Inventories Matthias W.
  • Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks Hao Wang, Xingjian SHI, Dit-Yan Yeung.
  • Conditional Generative Moment-Matching Networks Yong Ren, Jun Zhu, Jialian Li, Yucen Luo.
  • Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics Wei-Shou Hsu, Pascal Poupart.
  • Tagger: Deep Unsupervised Perceptual Grouping Klaus Greff, Antti Rasmus, Mathias Berglund, Tele Hao, Harri Valpola, Jürgen Schmidhuber.
  • A Locally Adaptive Normal Distribution Georgios Arvanitidis, Lars K.
  • Eliciting Categorical Data for Optimal Aggregation Chien-Ju Ho, Rafael Frongillo, Yiling Chen.
  • Advances in Neural Information Processing Systems 29 (NIPS 2016)Įdited by: D.









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