Papers
Adaptive Latency for Part-of-Speech Tagging in Incremental Text-to-Speech Synthesis
Maël Pouget, Olha Nahorna, Thomas Hueber et al.
Adaptive Learning with Robust Generalization Guarantees
Rachel Cummings, Katrina Ligett, Kobbi Nissim et al.
Adaptive Maximization of Pointwise Submodular Functions With Budget Constraint
Nguyen Cuong, Huan Xu
Adaptive Neural Compilation
Rudy R Bunel, Alban Desmaison, Pawan K Mudigonda et al.
Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy
Aryan Mokhtari, Hadi Daneshmand, Aurelien Lucchi et al.
Adaptive Object Detection Using Adjacency and Zoom Prediction
Yongxi Lu, Tara Javidi, Svetlana Lazebnik
Adaptive optimal training of animal behavior
Ji Hyun Bak, Jung Yoon Choi, Athena Akrami et al.
Adaptive Sampling for SGD by Exploiting Side Information
Siddharth Gopal
Adaptive Skills Adaptive Partitions (ASAP)
Daniel J Mankowitz, Timothy A Mann, Shie Mannor
Adaptive Smoothed Online Multi-Task Learning
Keerthiram Murugesan, Hanxiao Liu, Jaime Carbonell et al.
Additive Approximations in High Dimensional Nonparametric Regression via the SALSA
Kirthevasan Kandasamy, Yaoliang Yu
Addressing Environment Non-Stationarity by Repeating Q-learning Updates
Sherief Abdallah, Michael Kaisers
A Deeper Look at Saliency: Feature Contrast, Semantics, and Beyond
Neil D. B. Bruce, Christopher Catton, Sasa Janjic
A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks
Soujanya Poria, Erik Cambria, Devamanyu Hazarika et al.
A Deep Fusion Model for Domain Adaptation in Phrase-based MT
Nadir Durrani, Hassan Sajjad, Shafiq Joty et al.
A Deep Generative Deconvolutional Image Model
Yunchen Pu, Win Yuan, Andrew Stevens et al.
A Deep Learning Approach to Modeling Empathy in Addiction Counseling
James Gibson, Doğan Can, Bo Xiao et al.
A Deep Learning Approach to Unsupervised Ensemble Learning
Uri Shaham, Xiuyuan Cheng, Omer Dror et al.
A Differential Approach to Causality in Staged Trees
Christiane Görgen, Jim Q. Smith
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
Weijie Su, Stephen Boyd, Emmanuel J. Candès
ADIOS: Architectures Deep In Output Space
Moustapha Cisse, Maruan Al-Shedivat, Samy Bengio
A Direct Least-Squares Solution to the PnP Problem With Unknown Focal Length
Yinqiang Zheng, Laurent Kneip
A Distributed Variational Inference Framework for Unifying Parallel Sparse Gaussian Process Regression Models
Trong Nghia Hoang, Quang Minh Hoang, Bryan Kian Hsiang Low
A Distribution-based Model to Learn Bilingual Word Embeddings
Hailong Cao, Tiejun Zhao, Shu Zhang et al.
A Divide-and-Conquer Approach for Language Identification Based on Recurrent Neural Networks
G. Gelly, Jean-Luc Gauvain, V.B. Le et al.