Papers
Unified Verbalization for Speech Recognition & Synthesis Across Languages
Sandy Ritchie, Richard Sproat, Kyle Gorman et al.
Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations
Hao Wu, Jiayuan Mao, Yufeng Zhang et al.
Uniform concentration and symmetrization for weak interactions
Andreas Maurer, Massimiliano Pontil
Uniform convergence may be unable to explain generalization in deep learning
Vaishnavh Nagarajan, J. Zico Kolter
Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension
Jisu Kim, Jaehyeok Shin, Alessandro Rinaldo et al.
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
Armin Lederer, Jonas Umlauft, Sandra Hirche
UniformFace: Learning Deep Equidistributed Representation for Face Recognition
Yueqi Duan, Jiwen Lu, Jie Zhou
Uniform regret bounds over $\mathbb{R}^d$ for the sequential linear regression problem with the square loss
Pierre Gaillard, Sébastien Gerchinovitz, Malo Huard et al.
Unifying Heterogeneous Classifiers With Distillation
Jayakorn Vongkulbhisal, Phongtharin Vinayavekhin, Marco Visentini-Scarzanella
Unifying Human and Statistical Evaluation for Natural Language Generation
Tatsunori B. Hashimoto, Hugh Zhang, Percy Liang
Unifying Orthogonal Monte Carlo Methods
Krzysztof Choromanski, Mark Rowland, Wenyu Chen et al.
Unifying the Stochastic and the Adversarial Bandits with Knapsack
Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh
UniMelb at SemEval-2019 Task 12: Multi-model combination for toponym resolution
Haonan Li, Minghan Wang, Timothy Baldwin et al.
Unit Selection Based on Counterfactual Logic
Ang Li, Judea Pearl
Universal Adversarial Perturbations for Speech Recognition Systems
Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey et al.
Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation
Hong Liu, Rongrong Ji, Jie Li et al.
Universal Adversarial Triggers for Attacking and Analyzing NLP
Eric Wallace, Shi Feng, Nikhil Kandpal et al.
Universal Adversarial Triggers for Attacking and Analyzing NLP
Eric Wallace, Shi Feng, Nikhil Kandpal et al.
Universal Approximation of Input-Output Maps by Temporal Convolutional Nets
Joshua Hanson, Maxim Raginsky
Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks
Yanzhi Wang, Zheng Zhan, Liang Zhao et al.
Universal Boosting Variational Inference
Trevor Campbell, Xinglong Li
Universal Domain Adaptation
Kaichao You, Mingsheng Long, Zhangjie Cao et al.
Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit
Shengyu Zhu, Biao Chen, Pengfei Yang et al.
Universal Invariant and Equivariant Graph Neural Networks
Nicolas Keriven, Gabriel Peyré