
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness
It has been demonstrated that hidden representation learned by a deep mo...
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How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning
This paper firstly considers the research problem of fairness in collabo...
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Towards Differentially Private Text Representations
Most deep learning frameworks require users to pool their local data or ...
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Understanding the Dynamics of Information Flow During Disaster Response Using Absorbing Markov Chains
This paper aims to derive a quantitative model to evaluate the impact of...
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Improving Disentangled Text Representation Learning with InformationTheoretic Guidance
Learning disentangled representations of natural language is essential f...
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Automated Abstraction of Operation Processes from Unstructured Text for Simulation Modeling
Abstraction of operation processes is a fundamental step for simulation ...
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Toward Interpretability of DualEncoder Models for Dialogue Response Suggestions
This work shows how to improve and interpret the commonly used dual enco...
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Estimating Uncertainty Intervals from Collaborating Networks
Effective decision making requires understanding the uncertainty inheren...
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KernelBased Approaches for Sequence Modeling: Connections to Neural Methods
We investigate timedependent data analysis from the perspective of recu...
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GaussianProcessBased Dynamic Embedding for Textual Networks
Textual network embedding aims to learn lowdimensional representations ...
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LMVP: Video Predictor with Leaked Motion Information
We propose a Leaked Motion Video Predictor (LMVP) to predict future fram...
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Enhanced Input Modeling for Construction Simulation using Bayesian Deep Neural Networks
This paper aims to propose a novel deep learningintegrated framework fo...
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Semisupervised Stochastic MultiDomain Learning using Variational Inference
Supervised models of NLP rely on large collections of text which closely...
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Towards Fair and Decentralized PrivacyPreserving Deep Learning with Blockchain
In collaborative deep learning, current learning frameworks follow eithe...
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On Target Shift in Adversarial Domain Adaptation
Discrepancy between training and testing domains is a fundamental proble...
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Enhanced Welding Operator Quality Performance Measurement: Work ExperienceIntegrated Bayesian Prior Determination
Measurement of operator quality performance has been challenging in the ...
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Sequential Attention GAN for Interactive Image Editing via Dialogue
In this paper, we introduce a new task  interactive image editing via c...
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StoryGAN: A Sequential Conditional GAN for Story Visualization
In this work we propose a new task called Story Visualization. Given a m...
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Diffusion Maps for Textual Network Embedding
Textual network embedding leverages rich text information associated wit...
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NonOscillatory Pattern Learning for NonStationary Signals
This paper proposes a novel nonoscillatory pattern (NOP) learning schem...
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Towards Robust and Privacypreserving Text Representations
Written text often provides sufficient clues to identify the author, the...
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What's in a Domain? Learning DomainRobust Text Representations using Adversarial Training
Most real world language problems require learning from heterogenous cor...
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Maximum Sum Rate of Slotted Aloha with Successive Interference Cancellation
This is a sequel of our previous work [8] on characterization of maximum...
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MultiLabel Learning from Medical Plain Text with Convolutional Residual Models
Predicting diagnoses from Electronic Health Records (EHRs) is an importa...
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Complexity Analysis Approach for Prefabricated Construction Products Using Uncertain Data Clustering
This paper proposes an uncertain data clustering approach to quantitativ...
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Video Generation From Text
Generating videos from text has proven to be a significant challenge for...
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Adaptive Convolutional Filter Generation for Natural Language Understanding
Convolutional neural networks (CNNs) have recently emerged as a popular ...
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EventNet: A Large Scale Structured Concept Library for Complex Event Detection in Video
Eventspecific concepts are the semantic concepts designed for the event...
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