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08/28/2023
Cross-Modal Retrieval: A Systematic Review of Methods and Future Directions
With the exponential surge in diverse multi-modal data, traditional uni-...
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08/17/2023
Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection
Massive key performance indicators (KPIs) are monitored as multivariate ...
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08/01/2023
Zero-Shot Learning by Harnessing Adversarial Samples
Zero-Shot Learning (ZSL) aims to recognize unseen classes by generalizin...
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07/03/2023
VOLTA: Diverse and Controllable Question-Answer Pair Generation with Variational Mutual Information Maximizing Autoencoder
Previous question-answer pair generation methods aimed to produce fluent...
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06/19/2023
Att-KGCN: Tourist Attractions Recommendation System by using Attention mechanism and Knowledge Graph Convolution Network
The recommendation algorithm based on knowledge graphs is at a relativel...
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04/12/2023
Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications
Recently, Meta AI Research approaches a general, promptable Segment Anyt...
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03/08/2023
Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual Alignment
Multimedia applications are often associated with cross-domain knowledge...
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02/23/2023
A Comprehensive Survey on Source-free Domain Adaptation
Over the past decade, domain adaptation has become a widely studied bran...
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12/26/2022
Semantic Enhanced Knowledge Graph for Large-Scale Zero-Shot Learning
Zero-Shot Learning has been a highlighted research topic in both vision ...
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12/18/2022
Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks
In this work, we study the black-box targeted attack problem from the mo...
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10/19/2022
How a Brand's Social Activism Impacts Consumers' Brand Evaluations: The Role of Brand Relationship Norms
Brands are facing heightened consumer pressure to address social issues ...
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10/19/2022
Variational Model Perturbation for Source-Free Domain Adaptation
We aim for source-free domain adaptation, where the task is to deploy a ...
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09/05/2022
Federated Zero-Shot Learning for Visual Recognition
Zero-shot learning is a learning regime that recognizes unseen classes b...
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07/05/2022
GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning
Generalized Zero-Shot Learning (GZSL) aims to recognize images from both...
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05/15/2022
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection
Growing interests in RGB-D salient object detection (RGB-D SOD) have bee...
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04/15/2022
Text Revision by On-the-Fly Representation Optimization
Text revision refers to a family of natural language generation tasks, w...
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01/26/2022
A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model
Synthetic data construction of Grammatical Error Correction (GEC) for no...
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10/14/2021
Region Semantically Aligned Network for Zero-Shot Learning
Zero-shot learning (ZSL) aims to recognize unseen classes based on the k...
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10/13/2021
Domain Adaptive Semantic Segmentation without Source Data
Domain adaptive semantic segmentation is recognized as a promising techn...
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10/06/2021
Test-time Batch Statistics Calibration for Covariate Shift
Deep neural networks have a clear degradation when applying to the unsee...
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08/15/2021
Human Pose and Shape Estimation from Single Polarization Images
This paper focuses on a new problem of estimating human pose and shape f...
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08/09/2021
Two-pronged Strategy: Lightweight Augmented Graph Network Hashing for Scalable Image Retrieval
Hashing learns compact binary codes to store and retrieve massive data e...
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08/02/2021
Adversarial Energy Disaggregation for Non-intrusive Load Monitoring
Energy disaggregation, also known as non-intrusive load monitoring (NILM...
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07/14/2021
Spectrum Gaussian Processes Based On Tunable Basis Functions
Spectral approximation and variational inducing learning for the Gaussia...
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07/07/2021
Mitigating Generation Shifts for Generalized Zero-Shot Learning
Generalized Zero-Shot Learning (GZSL) is the task of leveraging semantic...
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07/03/2021
A convolutional neural network for prestack fracture detection
Fractures are widely developed in hydrocarbon reservoirs and constitute ...
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07/02/2021
Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks
Different from the traditional recommender system, the session-based rec...
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06/08/2021
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation
Unsupervised Domain Adaptation (UDA) aims to generalize the knowledge le...
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02/25/2021
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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02/17/2021
Open-Retrieval Conversational Machine Reading
In conversational machine reading, systems need to interpret natural lan...
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01/20/2021
Semantic Disentangling Generalized Zero-Shot Learning
Generalized Zero-Shot Learning (GZSL) aims to recognize images from both...
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01/09/2021
Entropy-Based Uncertainty Calibration for Generalized Zero-Shot Learning
Compared to conventional zero-shot learning (ZSL) where recognising unse...
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11/02/2020
Deep Pairwise Hashing for Cold-start Recommendation
Recommendation efficiency and data sparsity problems have been regarded ...
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10/23/2020
Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation
Domain adaptation (DA) becomes an up-and-coming technique to address the...
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10/05/2020
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading
Document interpretation and dialog understanding are the two major chall...
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07/27/2020
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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07/23/2020
Accurate RGB-D Salient Object Detection via Collaborative Learning
Benefiting from the spatial cues embedded in depth images, recent progre...
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07/09/2020
Unsupervised Text Generation by Learning from Search
In this work, we present TGLS, a novel framework to unsupervised Text Ge...
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06/10/2020
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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05/18/2020
Hybrid-DNNs: Hybrid Deep Neural Networks for Mixed Inputs
Rapid development of big data and high-performance computing have encour...
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04/01/2020
Task-adaptive Asymmetric Deep Cross-modal Hashing
Supervised cross-modal hashing aims to embed the semantic correlations o...
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03/24/2020
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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11/10/2019
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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10/14/2019
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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09/21/2019
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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09/17/2019
Cycle-consistent Conditional Adversarial Transfer Networks
Domain adaptation investigates the problem of cross-domain knowledge tra...
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09/17/2019
Alleviating Feature Confusion for Generative Zero-shot Learning
Lately, generative adversarial networks (GANs) have been successfully ap...
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08/28/2019
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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08/01/2019
Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation
Visual paragraph generation aims to automatically describe a given image...
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07/11/2019
