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09/15/2023
Cure the headache of Transformers via Collinear Constrained Attention
As the rapid progression of practical applications based on Large Langua...
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09/14/2023
NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches
Accurate dietary intake estimation is critical for informing policies an...
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04/26/2023
ESCM: An Efficient and Secure Communication Mechanism for UAV Networks
UAV (unmanned aerial vehicle) is rapidly gaining traction in various hum...
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04/21/2023
Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge
Multi-task learning has shown considerable promise for improving the per...
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04/07/2023
The Rational Agent Benchmark for Data Visualization
Understanding how helpful a visualization is from experimental results i...
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03/15/2023
Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model
We study the incentivized information acquisition problem, where a princ...
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11/07/2022
Optimal Scoring Rules for Multi-dimensional Effort
This paper develops a framework for the design of scoring rules to optim...
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04/24/2022
Compression-Based Optimizations for Out-of-Core GPU Stencil Computation
An out-of-core stencil computation code handles large data whose size is...
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11/01/2021
Mixture Proportion Estimation and PU Learning: A Modern Approach
Given only positive examples and unlabeled examples (from both positive ...
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09/24/2021
On the Fairness of Swarm Learning in Skin Lesion Classification
in healthcare. However, the existing AI model may be biased in its decis...
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09/12/2021
Accelerating GPU-Based Out-of-Core Stencil Computation with On-the-Fly Compression
Stencil computation is an important class of scientific applications tha...
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08/07/2021
Deformable Image Registration using Neural ODEs
Deformable image registration, aiming to find spatial correspondence bet...
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07/28/2021
Causal Support: Modeling Causal Inferences with Visualizations
Analysts often make visual causal inferences about possible data-generat...
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06/12/2021
A Pseudo Label-wise Attention Network for Automatic ICD Coding
Automatic International Classification of Diseases (ICD) coding is defin...
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04/25/2021
Unsupervised Learning of Multi-level Structures for Anomaly Detection
The main difficulty in high-dimensional anomaly detection tasks is the l...
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04/06/2021
On the Optimality of Batch Policy Optimization Algorithms
Batch policy optimization considers leveraging existing data for policy ...
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03/08/2021
Instabilities of Offline RL with Pre-Trained Neural Representation
In offline reinforcement learning (RL), we seek to utilize offline data ...
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03/07/2021
Estimating and Improving Fairness with Adversarial Learning
Fairness and accountability are two essential pillars for trustworthy Ar...
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03/03/2021
Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time
We propose opportunistic evaluation, a framework for accelerating intera...
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01/29/2021
BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions
Motivation: Exploring drug-protein interactions (DPIs) work as a pivotal...
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07/10/2020
Quantization in Relative Gradient Angle Domain For Building Polygon Estimation
Building footprint extraction in remote sensing data benefits many impor...
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07/06/2020
Optimization of Scoring Rules
This paper introduces an objective for optimizing proper scoring rules. ...
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03/17/2020
A Unified View of Label Shift Estimation
Label shift describes the setting where although the label distribution ...
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02/17/2020
Four-valued monitorability of ω-regular languages
Runtime Verification (RV) is a lightweight formal technique in which pro...
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12/24/2019
Learning to Combat Compounding-Error in Model-Based Reinforcement Learning
Despite its potential to improve sample complexity versus model-free app...
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12/12/2019
Game Design for Eliciting Distinguishable Behavior
The ability to inferring latent psychological traits from human behavior...
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11/26/2019
Behavior Regularized Offline Reinforcement Learning
In reinforcement learning (RL) research, it is common to assume access t...
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07/10/2019
Enhanced generative adversarial network for 3D brain MRI super-resolution
Single image super-resolution (SISR) reconstruction for magnetic resonan...
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06/28/2019
Programming with Timespans in Interactive Visualizations
Modern interactive visualizations are akin to distributed systems, where...
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06/28/2019
DIEL: Transparent Scaling for Interactive Visualization
We live in an era of big data and rich data visualization. As data sets ...
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03/18/2019
Securely Trading Unverifiable Information without Trust
In future, information may become one of the most important assets in ec...
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03/15/2019
Predicting Academic Performance for College Students: A Campus Behavior Perspective
Detecting abnormal behaviors of students in time and providing personali...
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03/05/2019
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
Domain adaptation addresses the common problem when the target distribut...
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11/08/2018
Repetitive Motion Estimation Network: Recover cardiac and respiratory signal from thoracic imaging
Tracking organ motion is important in image-guided interventions, but mo...
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10/10/2018
The Laplacian in RL: Learning Representations with Efficient Approximations
The smallest eigenvectors of the graph Laplacian are well-known to provi...
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07/25/2018
Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings
Automatic mapping of buildings from remote sensing imagery is currently ...
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06/23/2018
Privacy-Protective-GAN for Face De-identification
Face de-identification has become increasingly important as the image so...
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06/05/2018
Making Sense of Asynchrony in Interactive Data Visualizations
Asynchronous interfaces allow users to concurrently issue requests while...
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05/01/2018
Generating Synthetic X-ray Images of a Person from the Surface Geometry
We present a novel framework that learns to predict human anatomy from b...
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02/13/2018
Towards Understanding the Generalization Bias of Two Layer Convolutional Linear Classifiers with Gradient Descent
A major challenge in understanding the generalization of deep learning i...
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03/23/2017
Planar Object Tracking in the Wild: A Benchmark
Planar object tracking plays an important role in computer vision and re...
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02/13/2016
Conservative Bandits
We study a novel multi-armed bandit problem that models the challenge fa...
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10/27/2015