Papers
Positive unlabeled learning via wrapper-based adaptive sampling
Pengyi Yang, Wei Liu, Jean Yang
Positive-Unlabeled Learning with Non-Negative Risk Estimator
Ryuichi Kiryo, Gang Niu, Marthinus C du Plessis et al.
Posted Pricing sans Discrimination
Shreyas Sekar
Post-Inference Prior Swapping
Willie Neiswanger, Eric Xing
Post-Processing Techniques for Improving Predictions of Multilabel Learning Approaches
Akshay Soni, Aasish Pappu, Jerry Chia-mau Ni et al.
PP Attachment: Where do We Stand?
Daniël de Kok, Jianqiang Ma, Corina Dima et al.
PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN
Hanwang Zhang, Zawlin Kyaw, Jinyang Yu et al.
Practical and Efficient Multi-View Matching
Eleonora Maset, Federica Arrigoni, Andrea Fusiello
Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search
Luigi Acerbi, Wei Ji Ma
Practical Data-Dependent Metric Compression with Provable Guarantees
Piotr Indyk, Ilya Razenshteyn, Tal Wagner
Practical Gauss-Newton Optimisation for Deep Learning
Aleksandar Botev, Hippolyt Ritter, David Barber
Practical Hash Functions for Similarity Estimation and Dimensionality Reduction
Søren Dahlgaard, Mathias Knudsen, Mikkel Thorup
Practical Locally Private Heavy Hitters
Raef Bassily, Kobbi Nissim, Uri Stemmer et al.
Practical Neural Machine Translation
Rico Sennrich, Barry Haddow
Practical Projective Structure From Motion (P2SfM)
Ludovic Magerand, Alessio Del Bue
Pragmatic descriptions of perceptual stimuli
Emiel van Miltenburg
PRAV: A Phonetically Rich Audio Visual Corpus
Abhishek Narwekar, Prasanta Kumar Ghosh
Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model
Jie Xu, Cheng Deng, Xinbo Gao et al.
Predicting Automatic Speech Recognition Performance Over Communication Channels from Instrumental Speech Quality and Intelligibility Scores
Laura Fernández Gallardo, Sebastian Möller, John Beerends
Predicting Behaviors of Basketball Players From First Person Videos
Shan Su, Jung Pyo Hong, Jianbo Shi et al.
Predicting Counselor Behaviors in Motivational Interviewing Encounters
Verónica Pérez-Rosas, Rada Mihalcea, Kenneth Resnicow et al.
Predicting Deeper Into the Future of Semantic Segmentation
Pauline Luc, Natalia Neverova, Camille Couprie et al.
Predicting Depression for Japanese Blog Text
Misato Hiraga
Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering
João Sedoc, Daniel Preoţiuc-Pietro, Lyle Ungar
Predicting Epenthetic Vowel Quality from Acoustics
Adriana Guevara-Rukoz, Erika Parlato-Oliveira, Shi Yu et al.