Papers
Putting An End to End-to-End: Gradient-Isolated Learning of Representations
Sindy Löwe, Peter O'Connor, Bastiaan Veeling
Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation
Nitika Mathur, Timothy Baldwin, Trevor Cohn
Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments
Xueting Li, Sifei Liu, Kihwan Kim et al.
Putting the Horse before the Cart: A Generator-Evaluator Framework for Question Generation from Text
Vishwajeet Kumar, Ganesh Ramakrishnan, Yuan-Fang Li
Putting Words in Context: LSTM Language Models and Lexical Ambiguity
Laura Aina, Kristina Gulordava, Gemma Boleda
PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation
Sida Peng, Yuan Liu, Qixing Huang et al.
PVRNet: Point-View Relation Neural Network for 3D Shape Recognition
Haoxuan You, Yifan Feng, Xibin Zhao et al.
PyOD: A Python Toolbox for Scalable Outlier Detection
Yue Zhao, Zain Nasrullah, Zheng Li
PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules
Youngsoo Jang, Jongmin Lee, Jaeyoung Park et al.
PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules
Youngsoo Jang, Jongmin Lee, Jaeyoung Park et al.
Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training
Feng Zheng, Cheng Deng, Xing Sun et al.
Pyramid Feature Attention Network for Saliency Detection
Ting Zhao, Xiangqian Wu
Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic Segmentation
Chi Zhang, Guosheng Lin, Fayao Liu et al.
Pyramid Memory Block and Timestep Attention for Speech Emotion Recognition
Miao Cao, Chun Yang, Fang Zhou et al.
PyRoboLearn: A Python Framework for Robot Learning Practitioners
Brian Delhaisse, Leonel Rozo, Darwin G. Caldwell
Pyro: Deep Universal Probabilistic Programming
Eli Bingham, Jonathan P. Chen, Martin Jankowiak et al.
PyToBI: A Toolkit for ToBI Labeling Under Python
Mónica Domínguez, Patrick Louis Rohrer, Juan Soler-Company
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke, Sam Gross, Francisco Massa et al.
QADiver: Interactive Framework for Diagnosing QA Models
Gyeongbok Lee, Sungdong Kim, Seung-won Hwang
QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization
Yi-Ting Yeh, Yun-Nung Chen
QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization
Yi-Ting Yeh, Yun-Nung Chen
QATM: Quality-Aware Template Matching for Deep Learning
Jiaxin Cheng, Yue Wu, Wael AbdAlmageed et al.
QC-GO Submission for MADAR Shared Task: Arabic Fine-Grained Dialect Identification
Younes Samih, Hamdy Mubarak, Ahmed Abdelali et al.
QE BERT: Bilingual BERT Using Multi-task Learning for Neural Quality Estimation
Hyun Kim, Joon-Ho Lim, Hyun-Ki Kim et al.
q-means: A quantum algorithm for unsupervised machine learning
Iordanis Kerenidis, Jonas Landman, Alessandro Luongo et al.