Papers
Paradoxes in Fair Machine Learning
Paul Goelz, Anson Kahng, Ariel D Procaccia
Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae
Piero Molino, Yang Wang, Jiawei Zhang
Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables
Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
Parallel Corpus Filtering Based on Fuzzy String Matching
Sukanta Sen, Asif Ekbal, Pushpak Bhattacharyya
ParallelDots at SemEval-2019 Task 3: Domain Adaptation with feature embeddings for Contextual Emotion Analysis
Akansha Jain, Ishita Aggarwal, Ankit Singh
Parallel Iterative Edit Models for Local Sequence Transduction
Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal et al.
Parallel Iterative Edit Models for Local Sequence Transduction
Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal et al.
Parallelizable Stack Long Short-Term Memory
Shuoyang Ding, Philipp Koehn
Parallel Optimal Transport GAN
Gil Avraham, Yan Zuo, Tom Drummond
Parallel vs. Non-Parallel Voice Conversion for Esophageal Speech
Luis Serrano, Sneha Raman, David Tavarez et al.
Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators
Yuxin Su, Shenglin Zhao, Xixian Chen et al.
Parameter-Efficient Transfer Learning for NLP
Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski et al.
Parameter elimination in particle Gibbs sampling
Anna Wigren, Riccardo Sven Risuleo, Lawrence Murray et al.
Parameter Enhancement for MELP Speech Codec in Noisy Communication Environment
Min-Jae Hwang, Hong-Goo Kang
Parameter-Free Online Convex Optimization with Sub-Exponential Noise
Kwang-Sung Jun, Francesco Orabona
Parameter-free Sentence Embedding via Orthogonal Basis
Ziyi Yang, Chenguang Zhu, Weizhu Chen
Parameter-free Sentence Embedding via Orthogonal Basis
Ziyi Yang, Chenguang Zhu, Weizhu Chen
Parameterized Heuristics for Incomplete Weighted CSPs
Atena M. Tabakhi
Parametric Majorization for Data-Driven Energy Minimization Methods
Jonas Geiping, Michael Moeller
Parametric Manifold Learning of Gaussian Mixture Models
Ziquan Liu, Lei Yu, Janet H. Hsiao et al.
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack
Zhezhi He, Adnan Siraj Rakin, Deliang Fan
Paraphrase Diversification Using Counterfactual Debiasing
Sunghyun Park, Seung-won Hwang, Fuxiang Chen et al.