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08/14/2023
White-Box Adversarial Attacks on Deep Learning-Based Radio Frequency Fingerprint Identification
Radio frequency fingerprint identification (RFFI) is an emerging techniq...
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08/10/2023
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning
We present a novel approach for structured data-to-text generation that ...
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07/21/2023
Robust Visual Question Answering: Datasets, Methods, and Future Challenges
Visual question answering requires a system to provide an accurate natur...
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07/17/2023
Phase Transitions of Structured Codes of Graphs
We consider the symmetric difference of two graphs on the same vertex se...
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05/27/2023
Benchmarking Diverse-Modal Entity Linking with Generative Models
Entities can be expressed in diverse formats, such as texts, images, or ...
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05/22/2023
Taxonomy Expansion for Named Entity Recognition
Training a Named Entity Recognition (NER) model often involves fixing a ...
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05/20/2023
Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstruction in RSIs
Previous super-resolution reconstruction (SR) works are always designed ...
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05/18/2023
Comparing Biases and the Impact of Multilingual Training across Multiple Languages
Studies in bias and fairness in natural language processing have primari...
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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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05/10/2023
Weakly-supervised ROI extraction method based on contrastive learning for remote sensing images
ROI extraction is an active but challenging task in remote sensing becau...
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05/06/2023
Adaptive loose optimization for robust question answering
Question answering methods are well-known for leveraging data bias, such...
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03/21/2023
Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization
Opinion summarization provides an important solution for summarizing opi...
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03/15/2023
Health Monitoring of Movement Disorder Subject based on Diamond Stacked Sparse Autoencoder Ensemble Model
The health monitoring of chronic diseases is very important for people w...
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11/20/2022
Context-Aware Data Augmentation for LIDAR 3D Object Detection
For 3D object detection, labeling lidar point cloud is difficult, so dat...
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10/25/2022
A new Stack Autoencoder: Neighbouring Sample Envelope Embedded Stack Autoencoder Ensemble Model
Stack autoencoder (SAE), as a representative deep network, has unique an...
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09/21/2022
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
Federated Learning (FL) is a machine learning paradigm that allows decen...
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03/16/2022
Label Semantics for Few Shot Named Entity Recognition
We study the problem of few shot learning for named entity recognition. ...
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03/11/2022
Visualizing and Understanding Patch Interactions in Vision Transformer
Vision Transformer (ViT) has become a leading tool in various computer v...
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02/13/2022
On the Convergence of Clustered Federated Learning
In a federated learning system, the clients, e.g. mobile devices and org...
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06/12/2021
DeepMMSA: A Novel Multimodal Deep Learning Method for Non-small Cell Lung Cancer Survival Analysis
Lung cancer is the leading cause of cancer death worldwide. The critical...
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05/03/2021
Three-Party Integer Comparison and Applications
Secure integer comparison has been a popular research topic in cryptogra...
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01/14/2021
Structured Prediction as Translation between Augmented Natural Languages
We propose a new framework, Translation between Augmented Natural Langua...
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11/25/2020
XTQA: Span-Level Explanations of the Textbook Question Answering
Textbook Question Answering (TQA) is a task that one should answer a dia...
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10/27/2020
To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging
Leveraging large amounts of unlabeled data using Transformer-like archit...
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10/06/2020
Resource-Enhanced Neural Model for Event Argument Extraction
Event argument extraction (EAE) aims to identify the arguments of an eve...
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06/27/2020
Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer
Data augmentation have been intensively used in training deep neural net...
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04/08/2020
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events
In this paper, we propose a neural architecture and a set of training me...
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08/15/2019
Towards End-to-End Learning for Efficient Dialogue Agent by Modeling Looking-ahead Ability
Learning an efficient manager of dialogue agent from data with little ma...
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01/21/2018
Deep joint rain and haze removal from single images
Rain removal from a single image is a challenge which has been studied f...
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11/07/2017
