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08/19/2023
Dronevision: An Experimental 3D Testbed for Flying Light Specks
Today's robotic laboratories for drones are housed in a large room. At t...
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06/30/2023
HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image
Survival prediction based on whole slide images (WSIs) is a challenging ...
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06/21/2023
Lightweight wood panel defect detection method incorporating attention mechanism and feature fusion network
In recent years, deep learning has made significant progress in wood pan...
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06/20/2023
Meerkat Behaviour Recognition Dataset
Recording animal behaviour is an important step in evaluating the well-b...
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06/01/2023
Out-of-distribution forgetting: vulnerability of continual learning to intra-class distribution shift
Continual learning (CL) is an important technique to allow artificial ne...
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05/25/2023
Matrix Autoregressive Model with Vector Time Series Covariates for Spatio-Temporal Data
In this paper, we propose a new model for forecasting time series data d...
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05/21/2023
Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text
Pre-trained large language model (LLM) is under exploration to perform N...
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05/05/2023
Neuromodulation Gated Transformer
We introduce a novel architecture, the Neuromodulation Gated Transformer...
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04/17/2023
An Ethereum-compatible blockchain that explicates and ensures design-level safety properties for smart contracts
Smart contracts are crucial elements of decentralized technologies, but ...
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04/13/2023
Emergence of Symbols in Neural Networks for Semantic Understanding and Communication
The capacity to generate meaningful symbols and effectively employ them ...
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03/21/2023
Boosting Verified Training for Robust Image Classifications via Abstraction
This paper proposes a novel, abstraction-based, certified training metho...
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03/19/2023
A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation
We developed a deep ensemble learning model with a radiomics spatial enc...
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03/13/2023
xASTNN: Improved Code Representations for Industrial Practice
The application of deep learning techniques in software engineering beco...
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03/11/2023
Design of a Multi-Degree-of-Freedom Elastic Neck Exoskeleton for Persons with Dropped Head Syndrome
Nonsurgical treatment of Dropped Head Syndrome (DHS) incurs the use of c...
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03/02/2023
Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training
Learning inter-image similarity is crucial for 3D medical images self-su...
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02/23/2023
Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?
Large language models have demonstrated an emergent capability in answer...
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02/22/2023
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities
Large-scale multi-modal pre-training models such as CLIP and PaLI exhibi...
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02/16/2023
Learning Density-Based Correlated Equilibria for Markov Games
Correlated Equilibrium (CE) is a well-established solution concept that ...
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02/11/2023
MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring based on A Dual-CNN Model
Non-intrusive load monitoring (NILM) aims to decompose aggregated electr...
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12/19/2022
Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatments
We present a human-in-the-loop evaluation framework for fact-checking no...
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12/04/2022
Incorporating Polar Field Data for Improved Solar Flare Prediction
In this paper, we consider incorporating data associated with the sun's ...
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11/29/2022
Identified vaccine efficacy for binary post-infection outcomes under misclassification without monotonicity
In order to meet regulatory approval, pharmaceutical companies often mus...
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11/28/2022
Frustratingly Easy Label Projection for Cross-lingual Transfer
Translating training data into many languages has emerged as a practical...
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11/03/2022
Enhanced Visual Feedback with Decoupled Viewpoint Control in Immersive Humanoid Robot Teleoperation using SLAM
In immersive humanoid robot teleoperation, there are three main shortcom...
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10/26/2022
A case for disaggregation of ML data processing
Machine Learning (ML) computation requires feeding input data for the mo...
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09/14/2022
Prompt-based Conservation Learning for Multi-hop Question Answering
Multi-hop question answering (QA) requires reasoning over multiple docum...
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09/03/2022
Graph Fourier transforms on directed product graphs
Graph Fourier transform (GFT) is one of the fundamental tools in graph s...
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08/24/2022
Group SLOPE Penalized CP Low-Rank Tensor Regression
This article aims to seek a selection and estimation procedure for a cla...
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08/12/2022
View Sub-sampling and Reconstruction for Efficient Light Field Compression
Compression is an important task for many practical applications of ligh...
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08/09/2022
STELLA: Sparse Taint Analysis for Enclave Leakage Detection
Intel SGX (Software Guard Extension) is a promising TEE (trusted executi...
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08/01/2022
Short-term Load Forecasting with Distributed Long Short-Term Memory
With the employment of smart meters, massive data on consumer behaviour ...
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07/21/2022
MetaComp: Learning to Adapt for Online Depth Completion
Relying on deep supervised or self-supervised learning, previous methods...
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06/26/2022
Multiple Instance Learning with Mixed Supervision in Gleason Grading
With the development of computational pathology, deep learning methods f...
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06/23/2022
Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation
Denoising Diffusion Probabilistic Model (DDPM) is able to make flexible ...
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06/16/2022
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering
Effective multi-hop question answering (QA) requires reasoning over mult...
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06/16/2022
Modeling rates of disease with missing categorical data
Covariates like age, sex, and race/ethnicity provide invaluable insight ...
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05/12/2022
Graph Fourier transform based on singular value decomposition of directed Laplacian
Graph Fourier transform (GFT) is a fundamental concept in graph signal p...
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05/10/2022
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation
The nature of thick-slice scanning causes severe inter-slice discontinui...
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04/13/2022
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma
Lung cancer is the leading cause of cancer death worldwide, and adenocar...
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04/07/2022
Predicting Solar Flares Using CNN and LSTM on Two Solar Cycles of Active Region Data
We consider the flare prediction problem that distinguishes flare-immine...
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03/06/2022
foREST: A Tree-based Approach for Fuzzing RESTful APIs
Representational state transfer (REST) is a widely employed architecture...
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02/13/2022
Individual-Level Inverse Reinforcement Learning for Mean Field Games
The recent mean field game (MFG) formalism has enabled the application o...
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01/10/2022
Personal Mobility With Synchronous Trunk-Knee Passive Exoskeleton: Optimizing Human-Robot Energy Transfer
We present a personal mobility device for lower-body impaired users thro...
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12/28/2021
Exploiting Fine-grained Face Forgery Clues via Progressive Enhancement Learning
With the rapid development of facial forgery techniques, forgery detecti...
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12/14/2021
A Style and Semantic Memory Mechanism for Domain Generalization
Mainstream state-of-the-art domain generalization algorithms tend to pri...
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12/14/2021
Transferrable Contrastive Learning for Visual Domain Adaptation
Self-supervised learning (SSL) has recently become the favorite among fe...
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11/17/2021
Deep learning based on mixed-variable physics informed neural network for solving fluid dynamics without simulation data
Deep learning method has attracted tremendous attention to handle fluid ...
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10/22/2021
The Eigenvectors of Single-spiked Complex Wishart Matrices: Finite and Asymptotic Analyses
Let 𝐖∈ℂ^n× n be a single-spiked Wishart matrix in the class 𝐖∼𝒞𝒲_n(m,𝐈_n...
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10/06/2021
Revisiting Dimensionality Reduction Techniques for Visual Cluster Analysis: An Empirical Study
Dimensionality Reduction (DR) techniques can generate 2D projections and...
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09/04/2021