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05/18/2023
CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models
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05/18/2023
Scribble-Supervised Target Extraction Method Based on Inner Structure-Constraint for Remote Sensing Images
Weakly supervised learning based on scribble annotations in target extra...
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03/26/2023
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks
Learning-based methods to solve dense 3D vision problems typically train...
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12/09/2022
Discrete Event Simulation for Port Berth Maintenance Planning
Industrial and commercial ports, which are one of the three main hubs to...
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12/09/2022
Automated Integration of Infrastructure Component Status for Real-Time Restoration Progress Control: Case Study of Highway System in Hurricane Harvey
Following extreme events, efficient restoration of infrastructure system...
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12/02/2022
Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables
Conditional variational models, using either continuous or discrete late...
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12/01/2022
Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder
Complex dialogue mappings (CDM), including one-to-many and many-to-one m...
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11/15/2022
An Overview on Controllable Text Generation via Variational Auto-Encoders
Recent advances in neural-based generative modeling have reignited the h...
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07/15/2022
CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN
Deep learning models used in medical image analysis are prone to raising...
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05/18/2022
PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects
Object pose estimation is crucial for robotic applications and augmented...
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05/09/2022
Is my Depth Ground-Truth Good Enough? HAMMER – Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression
Depth estimation is a core task in 3D computer vision. Recent methods in...
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05/04/2022
fairlib: A Unified Framework for Assessing and Improving Classification Fairness
This paper presents fairlib, an open-source framework for assessing and ...
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03/15/2022
RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion
Temporal factors are tied to the growth of facts in realistic applicatio...
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12/07/2021
Polarimetric Pose Prediction
Light has many properties that can be passively measured by vision senso...
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09/02/2021
Leveraging Documentation to Test Deep Learning Library Functions
It is integral to test API functions of widely used deep learning (DL) l...
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02/27/2021
Automated Generation of Interorganizational Disaster Response Networks through Information Extraction
When a disaster occurs, maintaining and restoring community lifelines su...
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10/03/2020
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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07/18/2020
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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06/25/2020
Towards Differentially Private Text Representations
Most deep learning frameworks require users to pool their local data or ...
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06/11/2020
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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06/01/2020
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance
Learning disentangled representations of natural language is essential f...
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04/25/2020
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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03/02/2020
Toward Interpretability of Dual-Encoder Models for Dialogue Response Suggestions
This work shows how to improve and interpret the commonly used dual enco...
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02/12/2020
Estimating Uncertainty Intervals from Collaborating Networks
Effective decision making requires understanding the uncertainty inheren...
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10/09/2019
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods
We investigate time-dependent data analysis from the perspective of recu...
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10/05/2019
Gaussian-Process-Based Dynamic Embedding for Textual Networks
Textual network embedding aims to learn low-dimensional representations ...
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06/24/2019
LMVP: Video Predictor with Leaked Motion Information
We propose a Leaked Motion Video Predictor (LMVP) to predict future fram...
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06/14/2019
Enhanced Input Modeling for Construction Simulation using Bayesian Deep Neural Networks
This paper aims to propose a novel deep learning-integrated framework fo...
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06/07/2019
Semi-supervised Stochastic Multi-Domain Learning using Variational Inference
Supervised models of NLP rely on large collections of text which closely...
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06/04/2019
Towards Fair and Decentralized Privacy-Preserving Deep Learning with Blockchain
In collaborative deep learning, current learning frameworks follow eithe...
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03/15/2019
On Target Shift in Adversarial Domain Adaptation
Discrepancy between training and testing domains is a fundamental proble...
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01/03/2019
Enhanced Welding Operator Quality Performance Measurement: Work Experience-Integrated Bayesian Prior Determination
Measurement of operator quality performance has been challenging in the ...
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12/20/2018
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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12/06/2018
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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05/24/2018
Diffusion Maps for Textual Network Embedding
Textual network embedding leverages rich text information associated wit...
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05/21/2018
Non-Oscillatory Pattern Learning for Non-Stationary Signals
This paper proposes a novel non-oscillatory pattern (NOP) learning schem...
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05/16/2018
Towards Robust and Privacy-preserving Text Representations
Written text often provides sufficient clues to identify the author, the...
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05/16/2018
What's in a Domain? Learning Domain-Robust Text Representations using Adversarial Training
Most real world language problems require learning from heterogenous cor...
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03/09/2018
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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01/15/2018
Multi-Label Learning from Medical Plain Text with Convolutional Residual Models
Predicting diagnoses from Electronic Health Records (EHRs) is an importa...
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10/29/2017
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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10/01/2017
Video Generation From Text
Generating videos from text has proven to be a significant challenge for...
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09/25/2017
Adaptive Convolutional Filter Generation for Natural Language Understanding
Convolutional neural networks (CNNs) have recently emerged as a popular ...
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06/08/2015
