Papers
On Regularized Losses for Weakly-supervised CNN Segmentation
Meng Tang, Federico Perazzi, Abdelaziz Djelouah et al.
On Robust Trimming of Bayesian Network Classifiers
YooJung Choi, Guy Van den Broeck
On Semiparametric Exponential Family Graphical Models
Zhuoran Yang, Yang Ning, Han Liu
On Similarity Prediction and Pairwise Clustering
Stephen Pasteris, Fabio Vitale, Claudio Gentile et al.
On Statistical Optimality of Variational Bayes
Debdeep Pati, Anirban Bhattacharya, Yun Yang
On the Abstractiveness of Neural Document Summarization
Fangfang Zhang, Jin-ge Yao, Rui Yan
On The Alignment Problem In Multi-Head Attention-Based Neural Machine Translation
Tamer Alkhouli, Gabriel Bretschner, Hermann Ney
On the Application and Compression of Deep Time Delay Neural Network for Embedded Statistical Parametric Speech Synthesis
Yibin Zheng, Jianhua Tao, Zhengqi Wen et al.
On the Automatic Generation of Medical Imaging Reports
Baoyu Jing, Pengtao Xie, Eric Xing
On the challenges of learning with inference networks on sparse, high-dimensional data
Rahul Krishnan, Dawen Liang, Matthew Hoffman
On the Complexity of Chore Division
Alireza Farhadi, MohammadTaghi Hajiaghayi
On the Conditional Logic of Simulation Models
Duligur Ibeling, Thomas Icard
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport
Maziar Sanjabi, Jimmy Ba, Meisam Razaviyayn et al.
On the Convergence of Adam and Beyond
Sashank J. Reddi, Satyen Kale, Sanjiv Kumar
On the Convergence of PatchMatch and Its Variants
Thibaud Ehret, Pablo Arias
On the Cost Complexity of Crowdsourcing
Yili Fang, Hailong Sun, Pengpeng Chen et al.
On the Difficulties of Automatic Speech Recognition for Kindergarten-Aged Children
Gary Yeung, Abeer Alwan
On the Dimensionality of Word Embedding
Zi Yin, Yuanyuan Shen
On the Discrimination-Generalization Tradeoff in GANs
Pengchuan Zhang, Qiang Liu, Dengyong Zhou et al.
On the Duality Between Retinex and Image Dehazing
Adrian Galdran, Aitor Alvarez-Gila, Alessandro Bria et al.
On the Efficiency of Data Collection for Crowdsourced Classification
Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings
On the Equivalence between Assumption-Based Argumentation and Logic Programming (Extended Abstract)
Martin Caminada, Claudia Schulz
On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference
Adam Poliak, Yonatan Belinkov, James Glass et al.