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Incentive Mechanism Design for ROI-constrained Auto-bidding
Auto-bidding plays an important role in online advertising and has becom...
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Bag of Tricks for Adversarial Training
Adversarial training (AT) is one of the most effective strategies for pr...
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Qlib: An AI-oriented Quantitative Investment Platform
Quantitative investment aims to maximize the return and minimize the ris...
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Delving into the Adversarial Robustness on Face Recognition
Face recognition has recently made substantial progress and achieved hig...
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Towards Privacy Protection by Generating Adversarial Identity Masks
As billions of personal data such as photos are shared through social me...
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Boosting Adversarial Training with Hypersphere Embedding
Adversarial training (AT) is one of the most effective defenses to impro...
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Benchmarking Adversarial Robustness
Deep neural networks are vulnerable to adversarial examples, which becom...
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Design and Interpretation of Universal Adversarial Patches in Face Detection
We consider universal adversarial patches for faces - small visual eleme...
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Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant
Personal assistant AI systems such as Siri, Cortana, and Alexa have beco...
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AiAds: Automated and Intelligent Advertising System for Sponsored Search
Sponsored search has more than 20 years of history, and it has been prov...
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TextContourNet: a Flexible and Effective Framework for Improving Scene Text Detection Architecture with a Multi-task Cascade
We study the problem of extracting text instance contour information fro...
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Adversarial Training for Community Question Answer Selection Based on Multi-scale Matching
Community-based question answering (CQA) websites represent an important...
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Text Extraction and Retrieval from Smartphone Screenshots: Building a Repository for Life in Media
Daily engagement in life experiences is increasingly interwoven with mob...
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Fast Predictive Simple Geodesic Regression
Deformable image registration and regression are important tasks in medi...
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Learning non-parametric Markov networks with mutual information
We propose a method for learning Markov network structures for continuou...
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Prolongation of SMAP to Spatio-temporally Seamless Coverage of Continental US Using a Deep Learning Neural Network
The Soil Moisture Active Passive (SMAP) mission has delivered valuable s...
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Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network
We present an end-to-end, multimodal, fully convolutional network for ex...
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Efficient Registration of Pathological Images: A Joint PCA/Image-Reconstruction Approach
Registration involving one or more images containing pathologies is chal...
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Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach
This paper introduces Quicksilver, a fast deformable image registration ...
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Fast Predictive Multimodal Image Registration
We introduce a deep encoder-decoder architecture for image deformation p...
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Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading
Physical library collections are valuable and long standing resources fo...
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Fast Predictive Image Registration
We present a method to predict image deformations based on patch-wise im...
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Using Word Embeddings in Twitter Election Classification
Word embeddings and convolutional neural networks (CNN) have attracted e...
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