Papers
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.
Predicting Ground-Level Scene Layout From Aerial Imagery
Menghua Zhai, Zachary Bessinger, Scott Workman et al.
Predicting Head Pose from Speech with a Conditional Variational Autoencoder
David Greenwood, Stephen Laycock, Iain Matthews
Predicting Human Interaction via Relative Attention Model
Yichao Yan, Bingbing Ni, Xiaokang Yang
Predicting Human Similarity Judgments with Distributional Models: The Value of Word Associations
Simon De Deyne, Amy Perfors, Daniel J. Navarro
Predicting Native Language from Gaze
Yevgeni Berzak, Chie Nakamura, Suzanne Flynn et al.
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network
Wengong Jin, Connor Coley, Regina Barzilay et al.
Predicting Salient Face in Multiple-Face Videos
Yufan Liu, Songyang Zhang, Mai Xu et al.
Predicting Scene Parsing and Motion Dynamics in the Future
Xiaojie Jin, Huaxin Xiao, Xiaohui Shen et al.
Predicting Speech Intelligibility Using a Gammachirp Envelope Distortion Index Based on the Signal-to-Distortion Ratio
Katsuhiko Yamamoto, Toshio Irino, Toshie Matsui et al.
Predicting the Quality of Short Narratives from Social Media
Tong Wang, Ping Chen, Boyang Li
Predicting User Activity Level In Point Processes With Mass Transport Equation
Yichen Wang, Xiaojing Ye, Hongyuan Zha et al.
Predicting Users’ Negative Feedbacks in Multi-Turn Human-Computer Dialogues
Xin Wang, Jianan Wang, Yuanchao Liu et al.
Predicting with Distributions
Michael Kearns, Zhiwei Steven Wu
Predicting Word Association Strengths
Andrew Cattle, Xiaojuan Ma
Prediction and Control with Temporal Segment Models
Nikhil Mishra, Pieter Abbeel, Igor Mordatch
Prediction of Speech Delay from Acoustic Measurements
Jason Lilley, Madhavi Ratnagiri, H. Timothy Bunnell
Prediction Performance After Learning in Gaussian Process Regression
Johan Wagberg, Dave Zachariah, Thomas Schon et al.
Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control
Yunpeng Pan, Xinyan Yan, Evangelos A. Theodorou et al.
Predictive-Corrective Networks for Action Detection
Achal Dave, Olga Russakovsky, Deva Ramanan
Predictive-State Decoders: Encoding the Future into Recurrent Networks
Arun Venkatraman, Nicholas Rhinehart, Wen Sun et al.
Predictive State Recurrent Neural Networks
Carlton Downey, Ahmed Hefny, Byron Boots et al.
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
Yunbo Wang, Mingsheng Long, Jianmin Wang et al.
Preference-based Teaching
Ziyuan Gao, Christoph Ries, Hans U. Simon et al.