Papers
A Robust Approach to Sequential Information Theoretic Planning
Sue Zheng, Jason Pacheco, John Fisher
A Robust Context-Dependent Speech-to-Speech Phraselator Toolkit for Alexa
Manny Rayner, Nikos Tsourakis, Jan Stanek
A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization
Ruidi Chen, Ioannis Ch. Paschalidis
A Robust Method for Strong Rolling Shutter Effects Correction Using Lines With Automatic Feature Selection
Yizhen Lao, Omar Ait-Aider
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings
Mikel Artetxe, Gorka Labaka, Eneko Agirre
Arrows are the Verbs of Diagrams
Malihe Alikhani, Matthew Stone
ArticulatedFusion: Real-time Reconstruction of Motion, Geometry and Segmentation Using a Single Depth Camera
Chao Li, Zheheng Zhao, Xiaohu Guo
Articulation-to-Speech Synthesis Using Articulatory Flesh Point Sensors’ Orientation Information
Beiming Cao, Myungjong Kim, Jun R. Wang et al.
Articulatory and Stacked Bottleneck Features for Low Resource Speech Recognition
Vishwas M. Shetty, Rini A Sharon, Basil Abraham et al.
Articulatory Consequences of Vocal Effort Elicitation Method
Elisabet Eir Cortes, Marcin Wlodarczak, Juraj Šimko
Articulatory Feature Classification Using Convolutional Neural Networks
Danny Merkx, Odette Scharenborg
Articulatory Features for ASR of Pathological Speech
Emre Yılmaz, Vikramjit Mitra, Chris Bartels et al.
Articulatory-to-speech Conversion Using Bi-directional Long Short-term Memory
Fumiaki Taguchi, Tokihiko Kaburagi
Artificial Argumentation for Humans
Serena Villata
Artificial Bandwidth Extension with Memory Inclusion Using Semi-supervised Stacked Auto-encoders
Pramod Bachhav, Massimiliano Todisco, Nicholas Evans
Artificial Intelligence Conferences Closeness
Sébastien Konieczny, Emmanuel Lonca
Art of Singular Vectors and Universal Adversarial Perturbations
Valentin Khrulkov, Ivan Oseledets
A Rule-Based System for Disambiguating French Locative Verbs and Their Translation into Arabic
Safa Boudhina, Héla Fehri
ASAP: Fast, Approximate Graph Pattern Mining at Scale
Anand Padmanabha Iyer, Zaoxing Liu, Xin Jin et al.
A Savage-style Utility Theory for Belief Functions
Chunlai Zhou, Biao Qin, Xiaoyong Du
A Scalable Heterogeneous Parallel SOM Based on MPI/CUDA
Yao Liu, Jun Sun, Qing Yao et al.
A Scalable Laplace Approximation for Neural Networks
Hippolyt Ritter, Aleksandar Botev, David Barber
A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding
Young-Bum Kim, Dongchan Kim, Joo-Kyung Kim et al.
A Scalable Scheme for Counting Linear Extensions
Topi Talvitie, Kustaa Kangas, Teppo Niinimäki et al.