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08/29/2023
Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery
Positive-unlabeled learning (PU learning) in hyperspectral remote sensin...
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08/10/2023
DiLogics: Creating Web Automation Programs With Diverse Logics
Knowledge workers frequently encounter repetitive web data entry tasks, ...
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06/26/2023
A Badminton Recognition and Tracking System Based on Context Multi-feature Fusion
Ball recognition and tracking have traditionally been the main focus of ...
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06/06/2023
Green Steganalyzer: A Green Learning Approach to Image Steganalysis
A novel learning solution to image steganalysis based on the green learn...
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05/30/2023
Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization
Document-level multi-event extraction aims to extract the structural inf...
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05/04/2023
IMAP: Intrinsically Motivated Adversarial Policy
Reinforcement learning (RL) agents are known to be vulnerable to evasion...
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04/21/2023
Multi-level decision framework collision avoidance algorithm in emergency scenarios
With the rapid development of autonomous driving, the attention of acade...
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04/15/2023
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation
Temporal graphs exhibit dynamic interactions between nodes over continuo...
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04/15/2023
Transition Propagation Graph Neural Networks for Temporal Networks
Researchers of temporal networks (e.g., social networks and transaction ...
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03/22/2023
One-Step Detection Paradigm for Hyperspectral Anomaly Detection via Spectral Deviation Relationship Learning
Hyperspectral anomaly detection (HAD) involves identifying the targets t...
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02/18/2023
Maximum Entropy Estimator for Hidden Markov Models: Reduction to Dimension 2
In the paper, we introduce the maximum entropy estimator based on 2-dime...
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01/31/2023
Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors
Anomaly segmentation in high spatial resolution (HSR) remote sensing ima...
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01/04/2023
SPTS v2: Single-Point Scene Text Spotting
End-to-end scene text spotting has made significant progress due to its ...
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12/03/2022
Named Entity and Relation Extraction with Multi-Modal Retrieval
Multi-modal named entity recognition (NER) and relation extraction (RE) ...
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11/14/2022
NeurIPS 2022 Competition: Driving SMARTS
Driving SMARTS is a regular competition designed to tackle problems caus...
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11/07/2022
RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow
High-quality traffic flow generation is the core module in building simu...
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10/27/2022
Learning One-Class Hyperspectral Classifier from Positive and Unlabeled Data for Low Proportion Target
Hyperspectral imagery (HSI) one-class classification is aimed at identif...
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09/27/2022
Static Knowledge vs. Dynamic Argumentation: A Dual Theory Based on Kripke Semantics
This paper establishes a dual theory about knowledge and argumentation. ...
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08/03/2022
Statistical Attention Localization (SAL): Methodology and Application to Object Classification
A statistical attention localization (SAL) method is proposed to facilit...
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07/12/2022
From Bitcoin to Solana – Innovating Blockchain towards Enterprise Applications
This survey presents a comprehensive study of recent advances in block-c...
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05/09/2022
Automated Evaluation for Student Argumentative Writing: A Survey
This paper surveys and organizes research works in an under-studied area...
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04/02/2022
Transfinite Modal Logic: a Semi-quantitative Explanation for Bayesian Reasoning
Bayesian reasoning plays a significant role both in human rationality an...
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03/29/2022
Design of a Biomimetic Tactile Sensor for Material Classification
Tactile sensing typically involves active exploration of unknown surface...
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03/18/2022
WebRobot: Web Robotic Process Automation using Interactive Programming-by-Demonstration
It is imperative to democratize robotic process automation (RPA), as RPA...
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03/01/2022
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition
The MultiCoNER shared task aims at detecting semantically ambiguous and ...
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12/29/2021
Repairing Adversarial Texts through Perturbation
It is known that neural networks are subject to attacks through adversar...
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12/15/2021
SPTS: Single-Point Text Spotting
Almost all scene text spotting (detection and recognition) methods rely ...
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12/13/2021
ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition
Recently, Multi-modal Named Entity Recognition (MNER) has attracted a lo...
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12/12/2021
A Restless Bandit Model for Energy-Efficient Job Assignments in Server Farms
We aim to maximize the energy efficiency, gauged as average energy cost ...
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11/23/2021
Learning Dynamic Preference Structure Embedding From Temporal Networks
The dynamics of temporal networks lie in the continuous interactions bet...
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11/23/2021
Real-time intelligent big data processing: technology, platform, and applications
Human beings keep exploring the physical space using information means. ...
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11/17/2021
Fairness Testing of Deep Image Classification with Adequacy Metrics
As deep image classification applications, e.g., face recognition, becom...
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11/08/2021
A comprehensive assessment of accuracy of adaptive integration of cut cells for laminar fluid-structure interaction problems
Finite element methods based on cut-cells are becoming increasingly popu...
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11/07/2021
A-PixelHop: A Green, Robust and Explainable Fake-Image Detector
A novel method for detecting CNN-generated images, called Attentive Pixe...
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10/14/2021
First-Order Modal ξ-Calculus
This paper proposes first-order modal ξ-calculus as well as genealogical...
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07/17/2021
Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling
Although deep learning has demonstrated astonishing performance in many ...
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07/12/2021
ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment
With hundreds of thousands of electronic chip components are being manuf...
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07/06/2021
Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings
This paper describes the system used in submission from SHANGHAITECH tea...
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05/08/2021
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
Recent advances in Named Entity Recognition (NER) show that document-lev...
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04/14/2021
Web Question Answering with Neurosymbolic Program Synthesis
In this paper, we propose a new technique based on program synthesis for...
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02/09/2021
Real-time tracking of COVID-19 and coronavirus research updates through text mining
The novel coronavirus (SARS-CoV-2) which causes COVID-19 is an ongoing p...
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02/08/2021
Enhance Information Propagation for Graph Neural Network by Heterogeneous Aggregations
Graph neural networks are emerging as continuation of deep learning succ...
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12/27/2020
WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets for hyperspectral image classification
Classification is an important aspect of hyperspectral images processing...
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12/03/2020
Towards Repairing Neural Networks Correctly
Neural networks are increasingly applied to support decision making in s...
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12/01/2020
Forecasting confirmed cases of the COVID-19 pandemic with a migration-based epidemiological model
The unprecedented coronavirus disease 2019 (COVID-19) pandemic is still ...
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10/10/2020
Structural Knowledge Distillation
Knowledge distillation is a critical technique to transfer knowledge bet...
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10/10/2020
Automated Concatenation of Embeddings for Structured Prediction
Pretrained contextualized embeddings are powerful word representations f...
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10/10/2020
Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training
In this paper, we propose second-order graph-based neural dependency par...
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09/17/2020
More Embeddings, Better Sequence Labelers?
Recent work proposes a family of contextual embeddings that significantl...
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09/17/2020