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Learning from Lexical Perturbations for Consistent Visual Question Answering
Existing Visual Question Answering (VQA) models are often fragile and se...
11/26/2020 ∙ by Spencer Whitehead, et al. ∙
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Large Scale Neural Architecture Search with Polyharmonic Splines
Neural Architecture Search (NAS) is a powerful tool to automatically des...
11/20/2020 ∙ by Ulrich Finkler, et al. ∙
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NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search
Neural Architecture Search (NAS) is an open and challenging problem in m...
06/23/2020 ∙ by Rameswar Panda, et al. ∙
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A selected review on reinforcement learning based control for autonomous underwater vehicles
Recently, reinforcement learning (RL) has been extensively studied and a...
11/27/2019 ∙ by Yachu Hsu, et al. ∙
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Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries
This paper explores the task of interactive image retrieval using natura...
11/10/2019 ∙ by Fuwen Tan, et al. ∙
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Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning
Model-free deep reinforcement learning (RL) algorithms have been widely ...
09/07/2019 ∙ by Wenjie Shi, et al. ∙
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The Fashion IQ Dataset: Retrieving Images by Combining Side Information and Relative Natural Language Feedback
We contribute a new dataset and a novel method for natural language base...
05/30/2019 ∙ by Xiaoxiao Guo, et al. ∙
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Dialog-based Interactive Image Retrieval
Existing methods for interactive image retrieval have demonstrated the m...
05/01/2018 ∙ by Xiaoxiao Guo, et al. ∙
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Depth Control of Model-Free AUVs via Reinforcement Learning
In this paper, we consider depth control problems of an autonomous under...
11/22/2017 ∙ by Hui Wu, et al. ∙
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S3Pool: Pooling with Stochastic Spatial Sampling
Feature pooling layers (e.g., max pooling) in convolutional neural netwo...
11/16/2016 ∙ by Shuangfei Zhai, et al. ∙
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