Papers
Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network
Siqi Wang, Yijie Zeng, Xinwang Liu et al.
Effective Feature Representation for Clinical Text Concept Extraction
Yifeng Tao, Bruno Godefroy, Guillaume Genthial et al.
Effective Sentence Scoring Method Using BERT for Speech Recognition
Joonbo Shin, Yoonhyung Lee, Kyomin Jung
Effective Use of Transformer Networks for Entity Tracking
Aditya Gupta, Greg Durrett
Effective Use of Transformer Networks for Entity Tracking
Aditya Gupta, Greg Durrett
Effects of Base-Frequency and Spectral Envelope on Deep-Learning Speech Separation and Recognition Models
J. Hui, Y. Wei, S.T. Chen et al.
Effects of Waveform PMF on Anti-Spoofing Detection
Itshak Lapidot, Jean-François Bonastre
Efficiency through Auto-Sizing: Notre Dame NLP’s Submission to the WNGT 2019 Efficiency Task
Kenton Murray, Brian DuSell, David Chiang
Efficient Algorithms for Optimal Perimeter Guarding
Si Wei Feng, Shuai D. Han, Kai Gao et al.
Efficient Algorithms for Smooth Minimax Optimization
Kiran K Thekumparampil, Prateek Jain, Praneeth Netrapalli et al.
Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems
Geoffrey Roeder, Paul Grant, Andrew Phillips et al.
Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network
Wenhai Wang, Enze Xie, Xiaoge Song et al.
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
Mahyar Fazlyab, Alexander Robey, Hamed Hassani et al.
Efficient and Effective Incomplete Multi-View Clustering
Xinwang Liu, Xinzhong Zhu, Miaomiao Li et al.
Efficient and Robust Registration on the 3D Special Euclidean Group
Uttaran Bhattacharya, Venu Madhav Govindu
Efficient and Scalable Multi-Task Regression on Massive Number of Tasks
Xiao He, Francesco Alesiani, Ammar Shaker
Efficient and Thrifty Voting by Any Means Necessary
Debmalya Mandal, Ariel D Procaccia, Nisarg Shah et al.
Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds
Minshuo Chen, Haoming Jiang, Wenjing Liao et al.
Efficient augmentation and relaxation learning for individualized treatment rules using observational data
Ying-Qi Zhao, Eric B. Laber, Yang Ning et al.
Efficient Augmentation via Data Subsampling
Michael Kuchnik, Virginia Smith
Efficient Bayesian Experimental Design for Implicit Models
Steven Kleinegesse, Michael U. Gutmann
Efficient Bayesian Optimization for Target Vector Estimation
Anders Kirk Uhrenholt, Bjøern Sand Jensen