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Temporal Memory Relation Network for Workflow Recognition from Surgical Video
Automatic surgical workflow recognition is a key component for developin...
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FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
Federated learning allows distributed medical institutions to collaborat...
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Computation Resource Allocation Solution in Recommender Systems
Recommender systems rely heavily on increasing computation resources to ...
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MITNet: GAN Enhanced Magnetic Induction Tomography Based on Complex CNN
Magnetic induction tomography (MIT) is an efficient solution for long-te...
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C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling
Slot filling, a fundamental module of spoken language understanding, oft...
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Neural Rate Control for Video Encoding using Imitation Learning
In modern video encoders, rate control is a critical component and has b...
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Neural Network Training Techniques Regularize Optimization Trajectory: An Empirical Study
Modern deep neural network (DNN) trainings utilize various training tech...
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Efficient Projection-Free Algorithms for Saddle Point Problems
The Frank-Wolfe algorithm is a classic method for constrained optimizati...
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Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning
We present a fast simulation application based on a Deep Neural Network,...
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FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding
Few-learn learning (FSL) is one of the key future steps in machine learn...
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Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices
We study the streaming model for approximate matrix multiplication (AMM)...
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An autocovariance-based learning framework for high-dimensional functional time series
Many scientific and economic applications involve the analysis of high-d...
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Learning Directional Feature Maps for Cardiac MRI Segmentation
Cardiac MRI segmentation plays a crucial role in clinical diagnosis for ...
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Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency
Recent advances in large-scale optimal transport have greatly extended i...
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Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion
Accurate medical image segmentation commonly requires effective learning...
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Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
Unsupervised domain adaptation has increasingly gained interest in medic...
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A Stochastic Proximal Point Algorithm for Saddle-Point Problems
We consider saddle point problems which objective functions are the aver...
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Multi-Instance Multi-Scale CNN for Medical Image Classification
Deep learning for medical image classification faces three major challen...
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Millemeter-Wave Fixed Wireless Access Using IEEE 802.11ay
IEEE 802.11ay defines new PHY and MAC specifications that enable 100 Gbp...
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Physical Layer Performance Evaluation of Wireless Infrared-based LiFi Uplink
LiFi (light-fidelity) is recognised as a promising technology for the ne...
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New-Generation Design-Technology Co-Optimization (DTCO): Machine-Learning Assisted Modeling Framework
In this paper, we propose a machine-learning assisted modeling framework...
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Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation
This paper presents a novel unsupervised domain adaptation framework, ca...
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PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation
Deep convolutional networks have demonstrated the state-of-the-art perfo...
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A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising
In online display advertising, guaranteed contracts and real-time biddin...
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Sourcerer's Apprentice and the study of code snippet migration
On the worldwide web, not only are webpages connected but source code is...
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Regression with Functional Errors-in-Predictors: A Generalized Method-of-Moments Approach
Functional regression is an important topic in functional data analysis....
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Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation
In spite of the compelling achievements that deep neural networks (DNNs)...
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RPC Considered Harmful: Fast Distributed Deep Learning on RDMA
Deep learning emerges as an important new resource-intensive workload an...
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Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss
Convolutional networks (ConvNets) have achieved great successes in vario...
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GARDENIA: A Domain-specific Benchmark Suite for Next-generation Accelerators
This paper presents the Graph Analytics Repository for Designing Next-ge...
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Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation
Matrix factorization has now become a dominant solution for personalized...
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A Novel Method to Study Bottom-up Visual Saliency and its Neural Mechanism
In this study, we propose a novel method to measure bottom-up saliency m...
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A Parallel algorithm for X-Armed bandits
The target of X-armed bandit problem is to find the global maximum of an...
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