Papers
UTD-CRSS Systems for 2016 NIST Speaker Recognition Evaluation
Chunlei Zhang, Fahimeh Bahmaninezhad, Shivesh Ranjan et al.
Utilizing Lexical Similarity between Related, Low-resource Languages for Pivot-based SMT
Anoop Kunchukuttan, Maulik Shah, Pradyot Prakash et al.
Utilizing Visual Forms of Japanese Characters for Neural Review Classification
Yota Toyama, Makoto Miwa, Yutaka Sasaki
Utterance Selection for Optimizing Intelligibility of TTS Voices Trained on ASR Data
Erica Cooper, Xinyue Wang, Alison Chang et al.
UWaterloo at SemEval-2017 Task 8: Detecting Stance towards Rumours with Topic Independent Features
Hareesh Bahuleyan, Olga Vechtomova
VAE Learning via Stein Variational Gradient Descent
Yuchen Pu, Zhe Gan, Ricardo Henao et al.
VAIN: Attentional Multi-agent Predictive Modeling
Yedid Hoshen
Value-Aware Loss Function for Model-based Reinforcement Learning
Amir-Massoud Farahmand, Andre Barreto, Daniel Nikovski
Value Iteration Networks
Aviv Tamar, Yi Wu, Garrett Thomas et al.
Value Prediction Network
Junhyuk Oh, Satinder Singh, Honglak Lee
Vancouver Welcomes You! Minimalist Location Metonymy Resolution
Milan Gritta, Mohammad Taher Pilehvar, Nut Limsopatham et al.
Variable Importance Using Decision Trees
Jalil Kazemitabar, Arash Amini, Adam Bloniarz et al.
Variance-based Regularization with Convex Objectives
Hongseok Namkoong, John C. Duchi
Variants of RMSProp and Adagrad with Logarithmic Regret Bounds
Mahesh Chandra Mukkamala, Matthias Hein
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold
YoungJoon Yoo, Sangdoo Yun, Hyung Jin Chang et al.
Variational Bayesian Multiple Instance Learning With Gaussian Processes
Manuel Haussmann, Fred A. Hamprecht, Melih Kandemir
Variational Boosting: Iteratively Refining Posterior Approximations
Andrew C. Miller, Nicholas J. Foti, Ryan P. Adams
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering
Zhuxi Jiang, Yin Zheng, Huachun Tan et al.
Variational Dropout Sparsifies Deep Neural Networks
Dmitry Molchanov, Arsenii Ashukha, Dmitry Vetrov
Variational Inference for Gaussian Process Models with Linear Complexity
Ching-An Cheng, Byron Boots
Variational Inference for Sparse and Undirected Models
John Ingraham, Debora Marks
Variational Inference via $\chi$ Upper Bound Minimization
Adji Bousso Dieng, Dustin Tran, Rajesh Ranganath et al.