Papers
Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions
Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada et al.
Data Generation as Sequential Decision Making
Philip Bachman, Doina Precup
Decomposition Bounds for Marginal MAP
Wei Ping, Qiang Liu, Alex Ihler
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Seunghoon Hong, Hyeonwoo Noh, Bohyung Han
Deep Convolutional Inverse Graphics Network
Tejas D Kulkarni, William F. Whitney, Pushmeet Kohli et al.
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Emily L Denton, Soumith Chintala, arthur szlam et al.
Deep Knowledge Tracing
Chris Piech, Jonathan Bassen, Jonathan Huang et al.
Deep learning with Elastic Averaging SGD
Sixin Zhang, Anna E Choromanska, Yann LeCun
Deeply Learning the Messages in Message Passing Inference
Guosheng Lin, Chunhua Shen, Ian Reid et al.
Deep Poisson Factor Modeling
Ricardo Henao, Zhe Gan, James Lu et al.
Deep Temporal Sigmoid Belief Networks for Sequence Modeling
Zhe Gan, Chunyuan Li, Ricardo Henao et al.
Deep Visual Analogy-Making
Scott E Reed, Yi Zhang, Yuting Zhang et al.
Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation
Scott Linderman, Matthew J Johnson, Ryan P. Adams
Differentially Private Learning of Structured Discrete Distributions
Ilias Diakonikolas, Moritz Hardt, Ludwig Schmidt
Differentially private subspace clustering
Yining Wang, Yu-Xiang Wang, Aarti Singh
Discrete Rényi Classifiers
Meisam Razaviyayn, Farzan Farnia, David Tse
Discriminative Robust Transformation Learning
Jiaji Huang, Qiang Qiu, Guillermo Sapiro et al.
Distributed Submodular Cover: Succinctly Summarizing Massive Data
Baharan Mirzasoleiman, Amin Karbasi, Ashwinkumar Badanidiyuru et al.
Distributionally Robust Logistic Regression
Soroosh Shafieezadeh-Abadeh, Peyman Mohajerin Esfahani, Daniel Huhn
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
Nihar Bhadresh Shah, Dengyong Zhou
Efficient and Parsimonious Agnostic Active Learning
Tzu-Kuo Huang, Alekh Agarwal, Daniel J. Hsu et al.
Efficient and Robust Automated Machine Learning
Matthias Feurer, Aaron Klein, Katharina Eggensperger et al.
Efficient Compressive Phase Retrieval with Constrained Sensing Vectors
Sohail Bahmani, Justin Romberg
Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets
Pascal Vincent, Alexandre de Brébisson, Xavier Bouthillier
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama