Papers
Practical Methods for Graph Two-Sample Testing
Debarghya Ghoshdastidar, Ulrike von Luxburg
Pragmatically Informative Image Captioning with Character-Level Inference
Reuben Cohn-Gordon, Noah Goodman, Christopher Potts
prDeep: Robust Phase Retrieval with a Flexible Deep Network
Christopher Metzler, Phillip Schniter, Ashok Veeraraghavan et al.
Pre- and In-Parsing Models for Neural Empty Category Detection
Yufei Chen, Yuanyuan Zhao, Weiwei Sun et al.
Precision and Recall for Time Series
Nesime Tatbul, Tae Jun Lee, Stan Zdonik et al.
PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution
Hong Chen, Zhenhua Fan, Hao Lu et al.
Preconditioned Conjugate Gradient Methods in Truncated Newton Frameworks for Large-scale Linear Classification
Chih-Yang Hsia, Wei-Lin Chiang, Chih-Jen Lin
PredCNN: Predictive Learning with Cascade Convolutions
Ziru Xu, Yunbo Wang, Mingsheng Long et al.
Predict and Constrain: Modeling Cardinality in Deep Structured Prediction
Nataly Brukhim, Amir Globerson
Predicting accuracy on large datasets from smaller pilot data
Mark Johnson, Peter Anderson, Mark Dras et al.
Predicting Activity and Location with Multi-task Context Aware Recurrent Neural Network
Dongliang Liao, Weiqing Liu, Yuan Zhong et al.
Predicting Adolescents’ Educational Track from Chat Messages on Dutch Social Media
Lisa Hilte, Walter Daelemans, Reinhild Vandekerckhove
Predicting and interpreting embeddings for out of vocabulary words in downstream tasks
Nicolas Garneau, Jean-Samuel Leboeuf, Luc Lamontagne
Predicting Arousal and Valence from Waveforms and Spectrograms Using Deep Neural Networks
Zixiaofan Yang, Julia Hirschberg
Predicting Brain Activation with WordNet Embeddings
João António Rodrigues, Ruben Branco, João Silva et al.
Predicting Complex Activities from Ongoing Multivariate Time Series
Weihao Cheng, Sarah Erfani, Rui Zhang et al.
Predicting Concreteness and Imageability of Words Within and Across Languages via Word Embeddings
Nikola Ljubešić, Darja Fišer, Anita Peti-Stantić
Predicting Discharge Disposition Using Patient Complaint Notes in Electronic Medical Records
Mohamad Salimi, Alla Rozovskaya
Predicting Factuality of Reporting and Bias of News Media Sources
Ramy Baly, Georgi Karadzhov, Dimitar Alexandrov et al.
Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data
William Falcon, Henning Schulzrinne
Predicting Foreign Language Usage from English-Only Social Media Posts
Svitlana Volkova, Stephen Ranshous, Lawrence Phillips
Predicting Human Metaphor Paraphrase Judgments with Deep Neural Networks
Yuri Bizzoni, Shalom Lappin
Predicting Human Trustfulness from Facebook Language
Mohammadzaman Zamani, Anneke Buffone, H. Andrew Schwartz