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Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search
Result relevance prediction is an essential task of e-commerce search en...
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BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search
Relevance has significant impact on user experience and business profit ...
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Max-sum tests for cross-sectional dependence of high-demensional panel data
We consider a testing problem for cross-sectional dependence for high-di...
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Image Sentiment Transfer
In this work, we introduce an important but still unexplored research ta...
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LinksIQ: Robust and Efficient Modulation Recognition with Imperfect Spectrum Scans
While critical for the practical progress of spectrum sharing, modulatio...
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Unsupervised Real-world Low-light Image Enhancement with Decoupled Networks
Conventional learning-based approaches to low-light image enhancement ty...
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Example-Guided Image Synthesis across Arbitrary Scenes using Masked Spatial-Channel Attention and Self-Supervision
Example-guided image synthesis has recently been attempted to synthesize...
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Decentralized Multi-player Multi-armed Bandits with No Collision Information
The decentralized stochastic multi-player multi-armed bandit (MP-MAB) pr...
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Fine-grained Image-to-Image Transformation towards Visual Recognition
Existing image-to-image transformation approaches primarily focus on syn...
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Example-Guided Scene Image Synthesis using Masked Spatial-Channel Attention and Patch-Based Self-Supervision
Example-guided image synthesis has been recently attempted to synthesize...
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Foreground-aware Image Inpainting
Existing image inpainting methods typically fill holes by borrowing info...
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CariGAN: Caricature Generation through Weakly Paired Adversarial Learning
Caricature generation is an interesting yet challenging task. The primar...
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Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks
Taking a photo outside, can we predict the immediate future, e.g., how w...
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