Papers
Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training
Alham Fikri Aji, Kenneth Heafield, Nikolay Bogoychev
Combining Knowledge Hunting and Neural Language Models to Solve the Winograd Schema Challenge
Ashok Prakash, Arpit Sharma, Arindam Mitra et al.
Combining Local and Document-Level Context: The LMU Munich Neural Machine Translation System at WMT19
Dario Stojanovski, Alexander Fraser
Combining Online Learning Guarantees
Ashok Cutkosky
Combining Optimal Control and Learning for Visual Navigation in Novel Environments
Somil Bansal, Varun Tolani, Saurabh Gupta et al.
Combining parametric and nonparametric models for off-policy evaluation
Omer Gottesman, Yao Liu, Scott Sussex et al.
Combining Sentiment Lexica with a Multi-View Variational Autoencoder
Alexander Hoyle, Lawrence Wolf-Sonkin, Hanna Wallach et al.
Combining Speaker Recognition and Metric Learning for Speaker-Dependent Representation Learning
João Monteiro, Jahangir Alam, Tiago H. Falk
Combining Structured and Free-text Electronic Medical Record Data for Real-time Clinical Decision Support
Emilia Apostolova, Tony Wang, Tim Tschampel et al.
Combining Translation Memory with Neural Machine Translation
Akiko Eriguchi, Spencer Rarrick, Hitokazu Matsushita
Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification
Oren Melamud, Mihaela Bornea, Ken Barker
Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification
Oren Melamud, Mihaela Bornea, Ken Barker
Combo-Action: Training Agent For FPS Game with Auxiliary Tasks
Shiyu Huang, Hang Su, Jun Zhu et al.
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
Xiaojun Jia, Xingxing Wei, Xiaochun Cao et al.
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
Antoine Bosselut, Hannah Rashkin, Maarten Sap et al.
COMIC: Multi-view Clustering Without Parameter Selection
Xi Peng, Zhenyu Huang, Jiancheng Lv et al.
Co-Mining: Deep Face Recognition With Noisy Labels
Xiaobo Wang, Shuo Wang, Jun Wang et al.
Commit Message Generation for Source Code Changes
Shengbin Xu, Yuan Yao, Feng Xu et al.
Commonsense inference in human-robot communication
Aliaksandr Huminski, Yan Bin Ng, Kenneth Kwok et al.
Commonsense Inference in Natural Language Processing (COIN) - Shared Task Report
Simon Ostermann, Sheng Zhang, Michael Roth et al.
Commonsense Knowledge Mining from Pretrained Models
Joe Davison, Joshua Feldman, Alexander Rush