Papers
Probabilistic Rule Realization and Selection
Haizi Yu, Tianxi Li, Lav R. Varshney
Probabilistic Submodular Maximization in Sub-Linear Time
Serban Stan, Morteza Zadimoghaddam, Andreas Krause et al.
Probabilistic Temporal Subspace Clustering
Behnam Gholami, Vladimir Pavlovic
Probabilistic Typology: Deep Generative Models of Vowel Inventories
Ryan Cotterell, Jason Eisner
Probability Bounds for Overlapping Coalition Formation
Michail Mamakos, Georgios Chalkiadakis
Probability Calibration Trees
Tim Leathart, Eibe Frank, Geoffrey Holmes et al.
Procedural Generation of Videos to Train Deep Action Recognition Networks
Cesar Roberto de Souza, Adrien Gaidon, Yohann Cabon et al.
Procedural Text Generation from an Execution Video
Atsushi Ushiku, Hayato Hashimoto, Atsushi Hashimoto et al.
Process-constrained batch Bayesian optimisation
Pratibha Vellanki, Santu Rana, Sunil Gupta et al.
Process Plan Controllers for Non-Deterministic Manufacturing Systems
Paolo Felli, Lavindra de Silva, Brian Logan et al.
Producing Unseen Morphological Variants in Statistical Machine Translation
Matthias Huck, Aleš Tamchyna, Ondřej Bojar et al.
Production of Sustained Vowels and Categorical Perception of Tones in Mandarin Among Cochlear-Implanted Children
Wentao Gu, Jiao Yin, James Mahshie
Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space
Matthias Vestner, Roee Litman, Emanuele Rodola et al.
Product Split Trees
Artem Babenko, Victor Lempitsky
Proficiency Assessment of ESL Learner’s Sentence Prosody with TTS Synthesized Voice as Reference
Yujia Xiao, Frank K. Soong
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems
Wang Ling, Dani Yogatama, Chris Dyer et al.
Programming with a Differentiable Forth Interpreter
Matko Bošnjak, Tim Rocktäschel, Jason Naradowsky et al.
Progressive Neural Networks for Transfer Learning in Emotion Recognition
John Gideon, Soheil Khorram, Zakaria Aldeneh et al.
Projection-free Distributed Online Learning in Networks
Wenpeng Zhang, Peilin Zhao, Wenwu Zhu et al.
Projection Free Rank-Drop Steps
Edward Cheung, Yuying Li
Projective Low-rank Subspace Clustering via Learning Deep Encoder
Jun Li, Liu Hongfu, Handong Zhao et al.
Pronunciation Learning with RNN-Transducers
Antoine Bruguier, Danushen Gnanapragasam, Leif Johnson et al.
Proofread Sentence Generation as Multi-Task Learning with Editing Operation Prediction
Yuta Hitomi, Hideaki Tamori, Naoaki Okazaki et al.
Proportional Rankings
Piotr Skowron, Martin Lackner, Markus Brill et al.
Proposing a Highly Accurate Hybrid Component-Based Factorised Preference Model in Recommender Systems
Farhad Zafari, Rasoul Rahmani, Irene Moser