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Political Posters Identification with Appearance-Text Fusion
In this paper, we propose a method that efficiently utilizes appearance ...
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Going Deeper With Directly-Trained Larger Spiking Neural Networks
Spiking neural networks (SNNs) are promising in a bio-plausible coding f...
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GFL: A Decentralized Federated Learning Framework Based On Blockchain
Due to people's emerging concern about data privacy, federated learning(...
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HABERTOR: An Efficient and Effective Deep Hatespeech Detector
We present our HABERTOR model for detecting hatespeech in large scale us...
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Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference
The neural attention mechanism plays an important role in many natural l...
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Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations
In deep learning era, pretrained models play an important role in medica...
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Embedding Task Knowledge into 3D Neural Networks via Self-supervised Learning
Deep learning highly relies on the amount of annotated data. However, an...
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Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis
Magnetic Resonance (MR) images of different modalities can provide compl...
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Biased Stochastic Gradient Descent for Conditional Stochastic Optimization
Conditional Stochastic Optimization (CSO) covers a variety of applicatio...
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Large-scale Gender/Age Prediction of Tumblr Users
Tumblr, as a leading content provider and social media, attracts 371 mil...
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A Deep Structural Model for Analyzing Correlated Multivariate Time Series
Multivariate time series are routinely encountered in real-world applica...
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Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization
Spiking neural network is an important family of models to emulate the b...
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Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube
Witnessed the development of deep learning, increasing number of studies...
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A GLCM Embedded CNN Strategy for Computer-aided Diagnosis in Intracerebral Hemorrhage
Computer-aided diagnosis (CADx) systems have been shown to assist radiol...
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Sample Complexity of Sample Average Approximation for Conditional Stochastic Optimization
In this paper, we study a class of stochastic optimization problems, ref...
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Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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Nationality Classification Using Name Embeddings
Nationality identification unlocks important demographic information, wi...
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