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pseudo-Bayesian Neural Networks for detecting Out of Distribution Inputs

Feb 02, 2021
Gagandeep Singh, Deepak Mishra

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Top-$k$ eXtreme Contextual Bandits with Arm Hierarchy

Feb 15, 2021
Rajat Sen, Alexander Rakhlin, Lexing Ying, Rahul Kidambi, Dean Foster, Daniel Hill, Inderjit Dhillon

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Predicting the Future is like Completing a Painting!

Nov 09, 2020
Nadir Maaroufi, Mehdi Najib, Mohamed Bakhouya

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Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning

Jan 03, 2021
Kai Fukami, Romit Maulik, Nesar Ramachandra, Koji Fukagata, Kunihiko Taira

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Lottery Jackpots Exist in Pre-trained Models

Apr 18, 2021
Yuxin Zhang, Mingbao Lin, Fei Chao, Yan Wang, Yongjian Wu, Feiyue Huang, Mingliang Xu, Yonghong Tian, Rongrong Ji

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Unsupervised Discriminative Embedding for Sub-Action Learning in Complex Activities

Apr 30, 2021
Sirnam Swetha, Hilde Kuehne, Yogesh S Rawat, Mubarak Shah

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Efficient Non-Sampling Knowledge Graph Embedding

Apr 30, 2021
Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang

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ScanGAN360: A Generative Model of Realistic Scanpaths for 360$^{\circ}$ Images

Mar 25, 2021
Daniel Martin, Ana Serrano, Alexander W. Bergman, Gordon Wetzstein, Belen Masia

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Uncertainty-based method for improving poorly labeled segmentation datasets

Feb 16, 2021
Ekaterina Redekop, Alexey Chernyavskiy

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LSTM Based Sentiment Analysis for Cryptocurrency Prediction

Apr 03, 2021
Xin Huang, Wenbin Zhang, Yiyi Huang, Xuejiao Tang, Mingli Zhang, Jayachander Surbiryala, Vasileios Iosifidis, Zhen Liu, Ji Zhang

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