Papers
One-Network Adversarial Fairness
Tameem Adel, Isabel Valera, Zoubin Ghahramani et al.
One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Networks
Tao He, Yuan-Fang Li, Lianli Gao et al.
One-Pass Incomplete Multi-View Clustering
Menglei Hu, Songcan Chen
One-Pass Single-Channel Noisy Speech Recognition Using a Combination of Noisy and Enhanced Features
Masakiyo Fujimoto, Hisashi Kawai
One-Shot Marginal MAP Inference in Markov Random Fields
Hao Xiong, Yuanzhen Guo, Yibo Yang et al.
One-Shot Neural Architecture Search via Self-Evaluated Template Network
Xuanyi Dong, Yi Yang
One-Shot Object Detection with Co-Attention and Co-Excitation
Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen et al.
One-Shot Texture Retrieval with Global Context Metric
Kai Zhu, Wei Zhai, Zheng-Jun Zha et al.
One-Shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization
Ju-chieh Chou, Hung-Yi Lee
One-Shot Voice Conversion with Disentangled Representations by Leveraging Phonetic Posteriorgrams
Seyed Hamidreza Mohammadi, Taehwan Kim
One-Shot Voice Conversion with Global Speaker Embeddings
Hui Lu, Zhiyong Wu, Dongyang Dai et al.
One Size Does Not Fit All: Comparing NMT Representations of Different Granularities
Nadir Durrani, Fahim Dalvi, Hassan Sajjad et al.
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
Ari Morcos, Haonan Yu, Michela Paganini et al.
One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues
Chongyang Tao, Wei Wu, Can Xu et al.
One-to-X Analogical Reasoning on Word Embeddings: a Case for Diachronic Armed Conflict Prediction from News Texts
Andrey Kutuzov, Erik Velldal, Lilja Øvrelid
On Euclidean k-Means Clustering with alpha-Center Proximity
Amit Deshpande, Anand Louis, Apoorv Singh
On Evaluating Embedding Models for Knowledge Base Completion
Yanjie Wang, Daniel Ruffinelli, Rainer Gemulla et al.
On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models
Paul Michel, Xian Li, Graham Neubig et al.
One-vs-All Models for Asynchronous Training: An Empirical Analysis
Rahul Gupta, Aman Alok, Shankar Ananthakrishnan
On Exact Computation with an Infinitely Wide Neural Net
Sanjeev Arora, Simon S Du, Wei Hu et al.
On Exploring Undetermined Relationships for Visual Relationship Detection
Yibing Zhan, Jun Yu, Ting Yu et al.
On Fair Cost Sharing Games in Machine Learning
Ievgen Redko, Charlotte Laclau
On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don’t Worry About its Nonsmooth Loss Function
Xinguo Li, Haoming Jiang, Jarvis Haupt et al.
On Fenchel Mini-Max Learning
Chenyang Tao, Liqun Chen, Shuyang Dai et al.
On Finding Gray Pixels
Yanlin Qian, Joni-Kristian Kamarainen, Jarno Nikkanen et al.