Papers
Order-Preserving Wasserstein Distance for Sequence Matching
Bing Su, Gang Hua
Order Statistics for Probabilistic Graphical Models
David Smith, Sara Rouhani, Vibhav Gogate
Ordinal Graphical Models: A Tale of Two Approaches
Arun Sai Suggala, Eunho Yang, Pradeep Ravikumar
Ordinal Zero-Shot Learning
Zengwei Huo, Xin Geng
Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-Identification
Zhongdao Wang, Luming Tang, Xihui Liu et al.
Oriented Response Networks
Yanzhao Zhou, Qixiang Ye, Qiang Qiu et al.
Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering
Junwei Han, Kai Xiong, Feiping Nie
Orthogonalized ALS: A Theoretically Principled Tensor Decomposition Algorithm for Practical Use
Vatsal Sharan, Gregory Valiant
Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization
Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki et al.
Outlier-Robust Tensor PCA
Pan Zhou, Jiashi Feng
Out-of-domain FrameNet Semantic Role Labeling
Silvana Hartmann, Ilia Kuznetsov, Teresa Martin et al.
Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models
Haim Dubossarsky, Daphna Weinshall, Eitan Grossman
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Sang-Woo Lee, Jin-Hwa Kim, Jaehyun Jun et al.
Oxford at SemEval-2017 Task 9: Neural AMR Parsing with Pointer-Augmented Attention
Jan Buys, Phil Blunsom
PAC Learning Depth-3 $\textrm{AC}^0$ Circuits of Bounded Top Fanin
Ning Ding, Yanli Ren, Dawu Gu
PACRR: A Position-Aware Neural IR Model for Relevance Matching
Kai Hui, Andrew Yates, Klaus Berberich et al.
“PageRank” for Argument Relevance
Henning Wachsmuth, Benno Stein, Yamen Ajjour
Pain-Free Random Differential Privacy with Sensitivity Sampling
Benjamin I. P. Rubinstein, Francesco Aldà
PanNet: A Deep Network Architecture for Pan-Sharpening
Junfeng Yang, Xueyang Fu, Yuwen Hu et al.
Paradigm Completion for Derivational Morphology
Ryan Cotterell, Ekaterina Vylomova, Huda Khayrallah et al.
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space
José Miguel Hernández-Lobato, James Requeima, Edward O. Pyzer-Knapp et al.
Parallel-Data-Free Many-to-Many Voice Conversion Based on DNN Integrated with Eigenspace Using a Non-Parallel Speech Corpus
Tetsuya Hashimoto, Hidetsugu Uchida, Daisuke Saito et al.
Parallel Hierarchical Attention Networks with Shared Memory Reader for Multi-Stream Conversational Document Classification
Naoki Sawada, Ryo Masumura, Hiromitsu Nishizaki
Parallel Multiscale Autoregressive Density Estimation
Scott Reed, Aäron Oord, Nal Kalchbrenner et al.
Parallel Neural Network Features for Improved Tandem Acoustic Modeling
Zoltán Tüske, Wilfried Michel, Ralf Schlüter et al.