Papers
CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
Ran Gilad-Bachrach, Nathan Dowlin, Kim Laine et al.
Minimum Regret Search for Single- and Multi-Task Optimization
Jan Hendrik Metzen
On the Consistency of Feature Selection With Lasso for Non-linear Targets
Yue Zhang, Weihong Guo, Soumya Ray
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin
Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai et al.
The Information Sieve
Greg Ver Steeg, Aram Galstyan
Multi-Player Bandits – a Musical Chairs Approach
Jonathan Rosenski, Ohad Shamir, Liran Szlak
k-variates++: more pluses in the k-means++
Richard Nock, Raphael Canyasse, Roksana Boreli et al.
Why Regularized Auto-Encoders learn Sparse Representation?
Devansh Arpit, Yingbo Zhou, Hung Ngo et al.
Truthful Univariate Estimators
Ioannis Caragiannis, Ariel Procaccia, Nisarg Shah
The Teaching Dimension of Linear Learners
Ji Liu, Xiaojin Zhu, Hrag Ohannessian
Metadata-conscious anonymous messaging
Giulia Fanti, Peter Kairouz, Sewoong Oh et al.
Dropout distillation
Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder
Data-driven Rank Breaking for Efficient Rank Aggregation
Ashish Khetan, Sewoong Oh
Hawkes Processes with Stochastic Excitations
Young Lee, Kar Wai Lim, Cheng Soon Ong
Additive Approximations in High Dimensional Nonparametric Regression via the SALSA
Kirthevasan Kandasamy, Yaoliang Yu
Diversity-Promoting Bayesian Learning of Latent Variable Models
Pengtao Xie, Jun Zhu, Eric Xing
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization
Chelsea Finn, Sergey Levine, Pieter Abbeel
Revisiting Semi-Supervised Learning with Graph Embeddings
Zhilin Yang, William Cohen, Ruslan Salakhudinov
A Deep Learning Approach to Unsupervised Ensemble Learning
Uri Shaham, Xiuyuan Cheng, Omer Dror et al.
Uprooting and Rerooting Graphical Models
Adrian Weller
Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues
Nihar Shah, Sivaraman Balakrishnan, Aditya Guntuboyina et al.
No Oops, You Won’t Do It Again: Mechanisms for Self-correction in Crowdsourcing
Nihar Shah, Dengyong Zhou
Methods and Theories for Large-scale Structured Prediction
Xu Sun, Yansong Feng
2016
EMNLP
Continuous Vector Spaces for Cross-language NLP Applications
Rafael E. Banchs
2016
EMNLP
Neural Networks for Sentiment Analysis
Yue Zhang, Duy Tin Vo
2016
EMNLP