Papers
Crowdsourced Clustering: Querying Edges vs Triangles
Ramya Korlakai Vinayak, Babak Hassibi
Crowdsourcing Complex Language Resources: Playing to Annotate Dependency Syntax
Bruno Guillaume, Karën Fort, Nicolas Lefebvre
CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
Ran Gilad-Bachrach, Nathan Dowlin, Kim Laine et al.
Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control
Prashanth L.A., Cheng Jie, Michael Fu et al.
Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions
Loic Landrieu, Guillaume Obozinski
CVXPY: A Python-Embedded Modeling Language for Convex Optimization
Steven Diamond, Stephen Boyd
Cyclades: Conflict-free Asynchronous Machine Learning
Xinghao Pan, Maximilian Lam, Stephen Tu et al.
D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images
Zhangyang Wang, Ding Liu, Shiyu Chang et al.
DAG-Recurrent Neural Networks For Scene Labeling
Bing Shuai, Zhen Zuo, Bing Wang et al.
Data Augmentation Using Multi-Input Multi-Output Source Separation for Deep Neural Network Based Acoustic Modeling
Yusuke Fujita, Ryoich Takashima, Takeshi Homma et al.
Data driven estimation of Laplace-Beltrami operator
Frederic Chazal, Ilaria Giulini, Bertrand Michel
Data-driven learning of symbolic constraints for a log-linear model in a phonological setting
Gabriel Doyle, Roger Levy
Data-driven Rank Breaking for Efficient Rank Aggregation
Ashish Khetan, Sewoong Oh
Data-driven Rank Breaking for Efficient Rank Aggregation
Ashish Khetan, Sewoong Oh
Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning
Philip Thomas, Emma Brunskill
Data Poisoning Attacks on Factorization-Based Collaborative Filtering
Bo Li, Yining Wang, Aarti Singh et al.
Data Programming: Creating Large Training Sets, Quickly
Alexander J Ratner, Christopher M De Sa, Sen Wu et al.
Data Selection and Adaptation for Naturalness in HMM-Based Speech Synthesis
Erica Cooper, Alison Chang, Yocheved Levitan et al.
Data Selection by Sequence Summarizing Neural Network in Mismatch Condition Training
Kateřina Žmolíková, Martin Karafiát, Karel Veselý et al.
Data Selection for Within-Class Covariance Estimation
Elliot Singer, Tyler Campbell, Douglas Reynolds
DBN-ivector Framework for Acoustic Emotion Recognition
Rui Xia, Yang Liu
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
Hao Chen, Xiaojuan Qi, Lequan Yu et al.
DCM Bandits: Learning to Rank with Multiple Clicks
Sumeet Katariya, Branislav Kveton, Csaba Szepesvari et al.
Dealbreaker: A Nonlinear Latent Variable Model for Educational Data
Andrew Lan, Tom Goldstein, Richard Baraniuk et al.