Papers
Progressive Feature Matching With Alternate Descriptor Selection and Correspondence Enrichment
Yuan-Ting Hu, Yen-Yu Lin
Progressively Parsing Interactional Objects for Fine Grained Action Detection
Bingbing Ni, Xiaokang Yang, Shenghua Gao
Progressive Prioritized Multi-View Stereo
Alex Locher, Michal Perdoch, Luc Van Gool
Projection, Inference, and Consistency
John N. Hooker
Promoting multiword expressions in A* TAG parsing
Jakub Waszczuk, Agata Savary, Yannick Parmentier
ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks
Chen Sun, Manohar Paluri, Ronan Collobert et al.
Pronunciation Assessment of Japanese Learners of French with GOP Scores and Phonetic Information
Vincent Laborde, Thomas Pellegrini, Lionel Fontan et al.
Pronunciation Error Detection for New Language Learners
Sean Robertson, Cosmin Munteanu, Gerald Penn
Proper Inner Product with Mean Displacement for Gaussian Noise Invariant ICA
Liyan Song, Haiping Lu
Properly Learning Poisson Binomial Distributions in Almost Polynomial Time
I. Diakonikolas, D. M. Kane, A. Stewart
Proposal Flow
Bumsub Ham, Minsu Cho, Cordelia Schmid et al.
Prosodic and Linguistic Analysis of Semantic Fluency Data: A Window into Speech Production and Cognition
Maria K. Wolters, Najoung Kim, Jung-Ho Kim et al.
Prosodic Convergence with Spoken Stimuli in Laboratory Data
Margaret Zellers
Prosodic Cues and Answer Type Detection for the Deception Sub-Challenge
Claude Montacié, Marie-José Caraty
Prosody Modification Using Allpass Residual of Speech Signals
Karthika Vijayan, K. Sri Rama Murty
Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images
Vladimir Golkov, Marcin J Skwark, Antonij Golkov et al.
Prototype Synthesis for Model Laws
Matthew Burgess, Eugenia Giraudy, Eytan Adar
Provable Algorithms for Inference in Topic Models
Sanjeev Arora, Rong Ge, Frederic Koehler et al.
Provable Bayesian Inference via Particle Mirror Descent
Bo Dai, Niao He, Hanjun Dai et al.
Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent
Chi Jin, Sham M. Kakade, Praneeth Netrapalli
Provable Non-convex Phase Retrieval with Outliers: Median TruncatedWirtinger Flow
Huishuai Zhang, Yuejie Chi, Yingbin Liang
Provable Tensor Methods for Learning Mixtures of Generalized Linear Models
Hanie Sedghi, Majid Janzamin, Anima Anandkumar
Provably manipulation-resistant reputation systems
Paul Christiano
Proving the Incompatibility of Efficiency and Strategyproofness via SMT Solving
Florian Brandl, Felix Brandt, Christian Geist