Papers
Pre-Training BERT on Domain Resources for Short Answer Grading
Chul Sung, Tejas Dhamecha, Swarnadeep Saha et al.
Pretraining by Backtranslation for End-to-End ASR in Low-Resource Settings
Matthew Wiesner, Adithya Renduchintala, Shinji Watanabe et al.
Pretraining Methods for Dialog Context Representation Learning
Shikib Mehri, Evgeniia Razumovskaia, Tiancheng Zhao et al.
Pre-training of Graph Augmented Transformers for Medication Recommendation
Junyuan Shang, Tengfei Ma, Cao Xiao et al.
Pre-training on high-resource speech recognition improves low-resource speech-to-text translation
Sameer Bansal, Herman Kamper, Karen Livescu et al.
Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport
Adarsh Subbaswamy, Peter Schulam, Suchi Saria
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks
Qiyang Li, Saminul Haque, Cem Anil et al.
Preventing Posterior Collapse with delta-VAEs
Ali Razavi, Aaron van den Oord, Ben Poole et al.
Primal-Dual Block Generalized Frank-Wolfe
Qi Lei, JIACHENG ZHUO, Constantine Caramanis et al.
Primarily about Primaries
Allan Borodin, Omer Lev, Nisarg Shah et al.
Priming vs. Inhibition of Optional Infinitival “to”
Robin Melnick, Thomas Wasow
Principal Component Analysis in the Local Differential Privacy Model
Di Wang, Jinhui Xu
Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG
Yujia Jin, Aaron Sidford
Principled Frameworks for Evaluating Ethics in NLP Systems
Shrimai Prabhumoye, Elijah Mayfield, Alan W Black
2019
ACL
Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation
Yuyin Zhou, Zhe Li, Song Bai et al.
Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors
Andrew Ilyas, Logan Engstrom, Aleksander Madry
Prior-Free Dynamic Auctions with Low Regret Buyers
Yuan Deng, Jon Schneider, Balasubramanian Sivan
Prior Guided Dropout for Robust Visual Localization in Dynamic Environments
Zhaoyang Huang, Yan Xu, Jianping Shi et al.
Priority Inheritance with Backtracking for Iterative Multi-agent Path Finding
Keisuke Okumura, Manao Machida, Xavier Défago et al.
Privacy Amplification by Mixing and Diffusion Mechanisms
Borja Balle, Gilles Barthe, Marco Gaboardi et al.
Privacy-aware Synthesizing for Crowdsourced Data
Mengdi Huai, Di Wang, Chenglin Miao et al.
Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion?
Brij Mohan Lal Srivastava, Aurélien Bellet, Marc Tommasi et al.
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation
Devin Reich, Ariel Todoki, Rafael Dowsley et al.
Privacy Preserving Image-Based Localization
Pablo Speciale, Johannes L. Schonberger, Sing Bing Kang et al.
Privacy Preserving Image Queries for Camera Localization
Pablo Speciale, Johannes L. Schonberger, Sudipta N. Sinha et al.