Papers
An Unsupervised Probability Model for Speech-to-Translation Alignment of Low-Resource Languages
Antonios Anastasopoulos, David Chiang, Long Duong
An urn model for majority voting in classification ensembles
Victor Soto, Alberto Suárez, Gonzalo Martinez-Muñoz
Anytime Exploration for Multi-armed Bandits using Confidence Information
Kwang-Sung Jun, Robert Nowak
Anytime optimal algorithms in stochastic multi-armed bandits
Rémy Degenne, Vianney Perchet
A PAC RL Algorithm for Episodic POMDPs
Zhaohan Daniel Guo, Shayan Doroudi, Emma Brunskill
A Paradigm for Building Generalized Models of Human Image Perception Through Data Fusion
Shaojing Fan, Tian-Tsong Ng, Bryan L. Koenig et al.
A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data
Adam Trischler, Zheng Ye, Xingdi Yuan et al.
A Paraphrase and Semantic Similarity Detection System for User Generated Short-Text Content on Microblogs
Kuntal Dey, Ritvik Shrivastava, Saroj Kaushik
A Persona-Based Neural Conversation Model
Jiwei Li, Michel Galley, Chris Brockett et al.
A Phase-Based Time-Frequency Masking for Multi-Channel Speech Enhancement in Domestic Environments
Alessio Brutti, Antigoni Tsiami, Athanasios Katsamanis et al.
A Polynomial Time Optimal Algorithm for Robot-Human Search under Uncertainty
Shaofei Chen, Tim Baarslag, Dengji Zhao et al.
A POMDP Approach to Influence Diagram Evaluation
Eric A. Hansen, Jinchuan Shi, Arindam Khaled
A Portable Automatic PA-TA-KA Syllable Detection System to Derive Biomarkers for Neurological Disorders
Fei Tao, Louis Daudet, Christian Poellabauer et al.
A Position Encoding Convolutional Neural Network Based on Dependency Tree for Relation Classification
Yunlun Yang, Yunhai Tong, Shulei Ma et al.
A Post-editing Interface for Immediate Adaptation in Statistical Machine Translation
Patrick Simianer, Sariya Karimova, Stefan Riezler
A posteriori error bounds for joint matrix decomposition problems
Nicolo Colombo, Nikos Vlassis
A Powerful Generative Model Using Random Weights for the Deep Image Representation
Kun He, Yan Wang, John Hopcroft
Applying Spectral Normalisation and Efficient Envelope Estimation and Statistical Transformation for the Voice Conversion Challenge 2016
Fernando Villavicencio, Junichi Yamagishi, Jordi Bonada et al.
Appraising UMLS Coverage for Summarizing Medical Evidence
Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond Wong et al.
Apprenticeship Scheduling: Learning to Schedule from Human Experts
Matthew Gombolay, Reed Jensen, Jessica Stigile et al.
Approximate Inference Using DC Programming For Collective Graphical Models
Thien Nguyen, Akshat Kumar, Hoong Chuin Lau et al.
Approximate Log-Hilbert-Schmidt Distances Between Covariance Operators for Image Classification
Ha Quang Minh, Marco San Biagio, Loris Bazzani et al.
Approximate maximum entropy principles via Goemans-Williamson with applications to provable variational methods
Andrej Risteski, Yuanzhi Li
Approximate Newton Methods for Policy Search in Markov Decision Processes
Thomas Furmston, Guy Lever, David Barber