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07/23/2023
A meta learning scheme for fast accent domain expansion in Mandarin speech recognition
Spoken languages show significant variation across mandarin and accent. ...
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05/06/2023
SST-ReversibleNet: Reversible-prior-based Spectral-Spatial Transformer for Efficient Hyperspectral Image Reconstruction
Spectral image reconstruction is an important task in snapshot compresse...
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10/07/2022
IDPL: Intra-subdomain adaptation adversarial learning segmentation method based on Dynamic Pseudo Labels
Unsupervised domain adaptation(UDA) has been applied to image semantic s...
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05/28/2022
Deep Embedded Clustering with Distribution Consistency Preservation for Attributed Networks
Many complex systems in the real world can be characterized by attribute...
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03/10/2022
Non-generative Generalized Zero-shot Learning via Task-correlated Disentanglement and Controllable Samples Synthesis
Synthesizing pseudo samples is currently the most effective way to solve...
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10/18/2021
Learning to Learn a Cold-start Sequential Recommender
The cold-start recommendation is an urgent problem in contemporary onlin...
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10/13/2021
Knowledge Graph-enhanced Sampling for Conversational Recommender System
The traditional recommendation systems mainly use offline user data to t...
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09/18/2021
Homogeneous and Heterogeneous Relational Graph for Visible-infrared Person Re-identification
Visible-infrared person re-identification (VI Re-ID) aims to match perso...
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06/21/2021
Pre-training also Transfers Non-Robustness
Pre-training has enabled many state-of-the-art results on many tasks. In...
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02/11/2021
Comparative Analysis of Machine Learning Approaches to Analyze and Predict the Covid-19 Outbreak
Background. Forecasting the time of forthcoming pandemic reduces the imp...
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12/31/2020
FDMT: A Benchmark Dataset for Fine-grained Domain Adaptation in Machine Translation
Previous domain adaptation research usually neglect the diversity in tra...
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03/30/2020
Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation
Document-level machine translation incorporates inter-sentential depende...
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11/28/2019
A Generalization Theory based on Independent and Task-Identically Distributed Assumption
Existing generalization theories analyze the generalization performance ...
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05/15/2019
Towards Measuring the Adaptability of an AO4BPEL Process
Adaptability is a significant property which enables software systems to...
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05/15/2019
Specifying and Reasoning about Contextual Preferences in the Goal-oriented Requirements Modelling
Goal-oriented requirements variability modelling has established the und...
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04/22/2019
blessing in disguise: Designing Robust Turing Test by Employing Algorithm Unrobustness
Turing test was originally proposed to examine whether machine's behavio...
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11/30/2018
ContextServ: Towards Model-Driven Development of Context-AwareWeb Services
In the era of Web of Things and Services, Context-aware Web Services (CA...
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11/24/2018
Attention, Please! Adversarial Defense via Attention Rectification and Preservation
This study provides a new understanding of the adversarial attack proble...
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06/15/2018
Survey and Performance Evaluation of the Upcoming Next Generation WLAN Standard - IEEE 802.11ax
With the ever-increasing demand for wireless traffic and quality of seri...
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02/27/2018
Preservation of Indigenous Culture among Indigenous Migrants through Social Media: the Igorot Peoples
The value and relevance of indigenous knowledge towards sustainability o...
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07/29/2015