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Dual MINE-based Neural Secure Communications under Gaussian Wiretap Channel
Recently, some researches are devoted to the topic of end-to-end learnin...
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Open-Retrieval Conversational Machine Reading
In conversational machine reading, systems need to interpret natural lan...
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Semantic Disentangling Generalized Zero-Shot Learning
Generalized Zero-Shot Learning (GZSL) aims to recognize images from both...
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Entropy-Based Uncertainty Calibration for Generalized Zero-Shot Learning
Compared to conventional zero-shot learning (ZSL) where recognising unse...
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Deep Pairwise Hashing for Cold-start Recommendation
Recommendation efficiency and data sparsity problems have been regarded ...
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Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation
Domain adaptation (DA) becomes an up-and-coming technique to address the...
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Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading
Document interpretation and dialog understanding are the two major chall...
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Rethinking Generative Zero-Shot Learning: An Ensemble Learning Perspective for Recognising Visual Patches
Zero-shot learning (ZSL) is commonly used to address the very pervasive ...
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Accurate RGB-D Salient Object Detection via Collaborative Learning
Benefiting from the spatial cues embedded in depth images, recent progre...
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Unsupervised Text Generation by Learning from Search
In this work, we present TGLS, a novel framework to unsupervised Text Ge...
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Dual-level Semantic Transfer Deep Hashing for Efficient Social Image Retrieval
Social network stores and disseminates a tremendous amount of user share...
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Hybrid-DNNs: Hybrid Deep Neural Networks for Mixed Inputs
Rapid development of big data and high-performance computing have encour...
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Task-adaptive Asymmetric Deep Cross-modal Hashing
Supervised cross-modal hashing aims to embed the semantic correlations o...
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Multi-Feature Discrete Collaborative Filtering for Fast Cold-start Recommendation
Hashing is an effective technique to address the large-scale recommendat...
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In Vitro Fertilization (IVF) Cumulative Pregnancy Rate Prediction from Basic Patient Characteristics
Tens of millions of women suffer from infertility worldwide each year. I...
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Improving Question Generation With to the Point Context
Question generation (QG) is the task of generating a question from a ref...
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CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language
Existing methods using generative adversarial approaches for Zero-Shot L...
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Cycle-consistent Conditional Adversarial Transfer Networks
Domain adaptation investigates the problem of cross-domain knowledge tra...
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Alleviating Feature Confusion for Generative Zero-shot Learning
Lately, generative adversarial networks (GANs) have been successfully ap...
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SpatialNLI: A Spatial Domain Natural Language Interface to Databases Using Spatial Comprehension
A natural language interface (NLI) to databases is an interface that tra...
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Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation
Visual paragraph generation aims to automatically describe a given image...
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Agile Domain Adaptation
Domain adaptation investigates the problem of leveraging knowledge from ...
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A Fusion Adversarial Network for Underwater Image Enhancement
Underwater image enhancement algorithms have attracted much attention in...
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Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder
We present a coupled Variational Auto-Encoder (VAE) method that improves...
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Discrete Optimal Graph Clustering
Graph based clustering is one of the major clustering methods. Most of i...
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Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection
In this paper, we investigate the research problem of unsupervised multi...
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Leveraging the Invariant Side of Generative Zero-Shot Learning
Conventional zero-shot learning (ZSL) methods generally learn an embeddi...
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ONCE and ONCE+: Counting the Frequency of Time-constrained Serial Episodes in a Streaming Sequence
As a representative sequential pattern mining problem, counting the freq...
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