Papers
OpenEnsembles: A Python Resource for Ensemble Clustering
Tom Ronan, Shawn Anastasio, Zhijie Qi et al.
Open Information Extraction from Conjunctive Sentences
Swarnadeep Saha, Mausam
Open Information Extraction on Scientific Text: An Evaluation
Paul Groth, Mike Lauruhn, Antony Scerri et al.
OpenKE: An Open Toolkit for Knowledge Embedding
Xu Han, Shulin Cao, Xin Lv et al.
Open Loop Execution of Tree-Search Algorithms
Erwan Lecarpentier, Guillaume Infantes, Charles Lesire et al.
OpenNMT System Description for WNMT 2018: 800 words/sec on a single-core CPU
Jean Senellart, Dakun Zhang, Bo Wang et al.
Open problem: Improper learning of mixtures of Gaussians
Elad Hazan, Livni Roi
Open Problems in Speech Recognition
Bhuvana Ramabhadran
Open Problem: The Dependence of Sample Complexity Lower Bounds on Planning Horizon
Nan Jiang, Alekh Agarwal
OpenSeq2Seq: Extensible Toolkit for Distributed and Mixed Precision Training of Sequence-to-Sequence Models
Oleksii Kuchaiev, Boris Ginsburg, Igor Gitman et al.
Open Set Domain Adaptation by Backpropagation
Kuniaki Saito, Shohei Yamamoto, Yoshitaka Ushiku et al.
Open Set Learning with Counterfactual Images
Lawrence Neal, Matthew Olson, Xiaoli Fern et al.
Open-World Stereo Video Matching with Deep RNN
Yiran Zhong, Hongdong Li, Yuchao Dai
Operation-guided Neural Networks for High Fidelity Data-To-Text Generation
Feng Nie, Jinpeng Wang, Jin-Ge Yao et al.
Operator Counting Heuristics for Probabilistic Planning
Felipe Trevizan, Sylvie Thiébaux, Patrik Haslum
Opinion Diffusion and Campaigning on Society Graphs
Piotr Faliszewski, Rica Gonen, Martin Koutecký et al.
Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition
Shuyang Sun, Zhanghui Kuang, Lu Sheng et al.
Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization
Rad Niazadeh, Tim Roughgarden, Joshua Wang
Optimal Algorithms for Non-Smooth Distributed Optimization in Networks
Kevin Scaman, Francis Bach, Sebastien Bubeck et al.
Optimal Bidding Strategy for Brand Advertising
Takanori Maehara, Atsuhiro Narita, Jun Baba et al.
Optimal Bounds for Johnson-Lindenstrauss Transformations
Michael Burr, Shuhong Gao, Fiona Knoll
Optimal Cooperative Inference
Scott Cheng-Hsin Yang, Yue Yu, arash Givchi et al.
Optimal Cruiser-Drone Traffic Enforcement Under Energy Limitation
Ariel Rosenfeld, Oleg Maksimov, Sarit Kraus
Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods
Junhong Lin, Volkan Cevher