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What's in a Name? Reducing Bias in Bios without Access to Protected Attributes
There is a growing body of work that proposes methods for mitigating bia...
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Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks
Retinopathy of Prematurity (ROP) is an eye disorder primarily affecting ...
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HYPE: A High Performing NLP System for Automatically Detecting Hypoglycemia Events from Electronic Health Record Notes
Hypoglycemia is common and potentially dangerous among those treated for...
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Pseudo-Labeling for Small Lesion Detection on Diabetic Retinopathy Images
Diabetic retinopathy (DR) is a primary cause of blindness in working-age...
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Return of Frustratingly Easy Domain Adaptation
Unlike human learning, machine learning often fails to handle changes be...
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Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering
We address the problem of Visual Question Answering (VQA), which require...
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Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
In this paper, we introduce a new CT image denoising method based on the...
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One-Shot Adaptation of Supervised Deep Convolutional Models
Dataset bias remains a significant barrier towards solving real world co...
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Natural Language Object Retrieval
In this paper, we address the task of natural language object retrieval,...
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Simultaneous Deep Transfer Across Domains and Tasks
Recent reports suggest that a generic supervised deep CNN model trained ...
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What Do Deep CNNs Learn About Objects?
Deep convolutional neural networks learn extremely powerful image repres...
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Translating Videos to Natural Language Using Deep Recurrent Neural Networks
Solving the visual symbol grounding problem has long been a goal of arti...
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Deep Domain Confusion: Maximizing for Domain Invariance
Recent reports suggest that a generic supervised deep CNN model trained ...
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Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning
We develop methods for detector learning which exploit joint training ov...
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LSDA: Large Scale Detection Through Adaptation
A major challenge in scaling object detection is the difficulty of obtai...
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Modeling Radiometric Uncertainty for Vision with Tone-mapped Color Images
To produce images that are suitable for display, tone-mapping is widely ...
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Fast Verification of Convexity of Piecewise-linear Surfaces
We show that a realization of a closed connected PL-manifold of dimensio...
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DTATG: An Automatic Title Generator based on Dependency Trees
We study automatic title generation for a given block of text and presen...
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Efficient and Effective Single-Document Summarizations and A Word-Embedding Measurement of Quality
Our task is to generate an effective summary for a given document with s...
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Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture
In this paper, we propose to use a set of simple, uniform in architectur...
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Here's My Point: Joint Pointer Architecture for Argument Mining
One of the major goals in automated argumentation mining is to uncover t...
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#HashtagWars: Learning a Sense of Humor
In this work, we present a new dataset for computational humor, specific...
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Evaluating Creative Language Generation: The Case of Rap Lyric Ghostwriting
Language generation tasks that seek to mimic human ability to use langua...
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A Game-theoretic Framework for Revenue Sharing in Edge-Cloud Computing System
We introduce a game-theoretic framework to ex- plore revenue sharing in ...
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Design Decisions for Weave: A Real-Time Web-based Collaborative Visualization Framework
There are many web-based visualization systems available to date, each h...
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CliNER 2.0: Accessible and Accurate Clinical Concept Extraction
Clinical notes often describe important aspects of a patient's stay and ...
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Challenges Towards Deploying Data Intensive Scientific Applications on Extreme Heterogeneity Supercomputers
Shrinking transistors, which powered the advancement of computing in the...
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IoT Security: An End-to-End View and Case Study
In this paper, we present an end-to-end view of IoT security and privacy...
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Deep learning in business analytics and operations research: Models, applications and managerial implications
Business analytics refers to methods and practices that create value thr...
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Lessons from Natural Language Inference in the Clinical Domain
State of the art models using deep neural networks have become very good...
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Adversarial Decomposition of Text Representation
In this paper, we present a method for adversarial decomposition of text...
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Semantic WordRank: Generating Finer Single-Document Summarizations
We present Semantic WordRank (SWR), an unsupervised method for generatin...
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Triad-based Neural Network for Coreference Resolution
We propose a triad-based neural network system that generates affinity s...
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Adversarial Text Generation Without Reinforcement Learning
Generative Adversarial Networks (GANs) have experienced a recent surge i...
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Evolutionary Cell Aided Design for Neural Network Architectures
Mathematical theory shows us that multilayer feedforward Artificial Neur...
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Skill Acquisition via Automated Multi-Coordinate Cost Balancing
We propose a learning framework, named Multi-Coordinate Cost Balancing (...
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Revealing the Dark Secrets of BERT
BERT-based architectures currently give state-of-the-art performance on ...
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A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing
We are interested in the optimal scheduling of a collection of multi-com...
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Solving Math Word Problems with Double-Decoder Transformer
This paper proposes a Transformer-based model to generate equations for ...
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3D Anchor-Free Lesion Detector on Computed Tomography Scans
Lesions are injuries and abnormal tissues in the human body. Detecting l...
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NarrativeTime: Dense High-Speed Temporal Annotation on a Timeline
We present NarrativeTime, a new timeline-based annotation scheme for tem...
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AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy
Colorectal cancer (CRC) is a common and lethal disease. Globally, CRC is...
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Mini Lesions Detection on Diabetic Retinopathy Images via Large Scale CNN Features
Diabetic retinopathy (DR) is a diabetes complication that affects eyes. ...
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ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network
Automated ICD coding, which assigns the International Classification of ...
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MetaMT,a MetaLearning Method Leveraging Multiple Domain Data for Low Resource Machine Translation
Manipulating training data leads to robust neural models for MT....
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A Primer in BERTology: What we know about how BERT works
Transformer-based models are now widely used in NLP, but we still do not...
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Towards Mobile Multi-Task Manipulation in a Confined and Integrated Environment with Irregular Objects
The FetchIt! Mobile Manipulation Challenge, held at the IEEE Internation...
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LAXARY: A Trustworthy Explainable Twitter Analysis Model for Post-Traumatic Stress Disorder Assessment
Veteran mental health is a significant national problem as large number ...
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When BERT Plays the Lottery, All Tickets Are Winning
Much of the recent success in NLP is due to the large Transformer-based ...
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Scalable Spectral Clustering with Nystrom Approximation: Practical and Theoretical Aspects
Spectral clustering techniques are valuable tools in signal processing a...
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