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Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation
Thanks to large-scale labeled training data, deep neural networks (DNNs)...
11/25/2020 ∙ by Sicheng Zhao, et al. ∙
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Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources
Sentiment analysis of user-generated reviews or comments on products and...
11/17/2020 ∙ by Sicheng Zhao, et al. ∙
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Accelerating Recommender Systems via Hardware "scale-in"
In today's era of "scale-out", this paper makes the case that a speciali...
09/11/2020 ∙ by Suresh Krishna, et al. ∙
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A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
Large-scale labeled training datasets have enabled deep neural networks ...
09/01/2020 ∙ by Sicheng Zhao, et al. ∙
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SqueezeBERT: What can computer vision teach NLP about efficient neural networks?
Humans read and write hundreds of billions of messages every day. Furthe...
06/19/2020 ∙ by Forrest N. Iandola, et al. ∙
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