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05/17/2023
Unconfounded Propensity Estimation for Unbiased Ranking
The goal of unbiased learning to rank (ULTR) is to leverage implicit use...
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07/24/2022
Model-based Unbiased Learning to Rank
Unbiased Learning to Rank (ULTR) that learns to rank documents with bias...
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03/27/2022
StruBERT: Structure-aware BERT for Table Search and Matching
A large amount of information is stored in data tables. Users can search...
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02/05/2022
Memory Defense: More Robust Classification via a Memory-Masking Autoencoder
Many deep neural networks are susceptible to minute perturbations of ima...
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11/03/2021
Deep Least Squares Alignment for Unsupervised Domain Adaptation
Unsupervised domain adaptation leverages rich information from a labeled...
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06/22/2021
Automatic Head Overcoat Thickness Measure with NASNet-Large-Decoder Net
Transmission electron microscopy (TEM) is one of the primary tools to sh...
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06/22/2021
Enhanced Separable Disentanglement for Unsupervised Domain Adaptation
Domain adaptation aims to mitigate the domain gap when transferring know...
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05/18/2021
Correlated Adversarial Joint Discrepancy Adaptation Network
Domain adaptation aims to mitigate the domain shift problem when transfe...
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05/05/2021
WTR: A Test Collection for Web Table Retrieval
We describe the development, characteristics and availability of a test ...
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05/05/2021
Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation
Unsupervised Domain adaptation is an effective method in addressing the ...
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04/27/2021
Efficient Pre-trained Features and Recurrent Pseudo-Labeling inUnsupervised Domain Adaptation
Domain adaptation (DA) mitigates the domain shift problem when transferr...
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03/10/2021
Adversarial Regression Learning for Bone Age Estimation
Estimation of bone age from hand radiographs is essential to determine s...
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02/23/2021
Neural Ranking Models for Document Retrieval
Ranking models are the main components of information retrieval systems....
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09/19/2020
Adversarial Consistent Learning on Partial Domain Adaptation of PlantCLEF 2020 Challenge
Domain adaptation is one of the most crucial techniques to mitigate the ...
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07/05/2020
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification
Extreme multi-label text classification (XMTC) is a task for tagging a g...
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05/19/2020
Table Search Using a Deep Contextualized Language Model
Pretrained contextualized language models such as BERT have achieved imp...
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02/06/2020
Impact of ImageNet Model Selection on Domain Adaptation
Deep neural networks are widely used in image classification problems. H...
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01/27/2020
Leveraging Schema Labels to Enhance Dataset Search
A search engine's ability to retrieve desirable datasets is important fo...
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04/04/2019
Modified Distribution Alignment for Domain Adaptation with Pre-trainedInception ResNet
Deep neural networks have been widely used in computer vision. There are...
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11/10/2018