University of North Carolina at Chapel Hill

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04917 The University of North Carolina at Chapel Hill, also known as UNC-Chapel Hill, UNC, Chapel Hill, North Carolina, or simply Carolina is a public research university in Chapel Hill, North Carolina.

Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?

Algorithmic approaches to interpreting machine learning models have prol...
05/04/2020 ∙ by Peter Hase, et al. ∙ 98 ∙ share

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Optimization-Guided Binary Diversification to Mislead Neural Networks for Malware Detection

Motivated by the transformative impact of deep neural networks (DNNs) on...
12/19/2019 ∙ by Mahmood Sharif, et al. ∙ 30 ∙ share

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Automatically Learning Data Augmentation Policies for Dialogue Tasks

Automatic data augmentation (AutoAugment) (Cubuk et al., 2019) searches ...
09/27/2019 ∙ by Tong Niu, et al. ∙ 25 ∙ share

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Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension

Reading comprehension models often overfit to nuances of training datase...
04/13/2020 ∙ by Adyasha Maharana, et al. ∙ 25 ∙ share

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Modality-Balanced Models for Visual Dialogue

The Visual Dialog task requires a model to exploit both image and conver...
01/17/2020 ∙ by Hyounghun Kim, et al. ∙ 22 ∙ share

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ManyModalQA: Modality Disambiguation and QA over Diverse Inputs

We present a new multimodal question answering challenge, ManyModalQA, i...
01/22/2020 ∙ by Darryl Hannan, et al. ∙ 18 ∙ share

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n-ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers

This paper proposes a new defense called n-ML against adversarial exampl...
12/19/2019 ∙ by Mahmood Sharif, et al. ∙ 17 ∙ share

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Metric Learning for Image Registration

Image registration is a key technique in medical image analysis to estim...
04/21/2019 ∙ by Marc Niethammer, et al. ∙ 16 ∙ share

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Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting

Magnetic resonance Fingerprinting (MRF) is a relatively new multi-parame...
07/16/2021 ∙ by Yilin Liu, et al. ∙ 16 ∙ share

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ViewSynth: Learning Local Features from Depth using View Synthesis

We address the problem of jointly detecting keypoints and learning descr...
11/22/2019 ∙ by Jisan Mahmud, et al. ∙ 14 ∙ share

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Composition and decomposition of GANs

In this work, we propose a composition/decomposition framework for adver...
01/23/2019 ∙ by Yeu-Chern Harn, et al. ∙ 12 ∙ share

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Flow Models for Arbitrary Conditional Likelihoods

Understanding the dependencies among features of a dataset is at the cor...
09/13/2019 ∙ by Yang Li, et al. ∙ 11 ∙ share

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FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function

Neural Architecture Search (NAS) yields state-of-the-art neural networks...
06/03/2020 ∙ by Xiaoliang Dai, et al. ∙ 11 ∙ share

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QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries

Detecting customized moments and highlights from videos given natural la...
07/20/2021 ∙ by Jie Lei, et al. ∙ 11 ∙ share

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Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits

Domain adaptation performance of a learning algorithm on a target domain...
01/13/2020 ∙ by Han Guo, et al. ∙ 10 ∙ share

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Graph Filtration Learning

We propose an approach to learning with graph-structured data in the pro...
05/27/2019 ∙ by Christoph Hofer, et al. ∙ 9 ∙ share

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When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data

Many methods now exist for conditioning model outputs on task instructio...
02/03/2021 ∙ by Peter Hase, et al. ∙ 9 ∙ share

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Expressing Visual Relationships via Language

Describing images with text is a fundamental problem in vision-language ...
06/18/2019 ∙ by Hao Tan, et al. ∙ 8 ∙ share

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TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval

We introduce a new multimodal retrieval task - TV show Retrieval (TVR), ...
01/24/2020 ∙ by Jie Lei, et al. ∙ 8 ∙ share

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Lighting Enhancement Aids Reconstruction of Colonoscopic Surfaces

High screening coverage during colonoscopy is crucial to effectively pre...
03/18/2021 ∙ by Yubo Zhang, et al. ∙ 8 ∙ share

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VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning

Video understanding relies on perceiving the global content and modeling...
06/21/2021 ∙ by Hao Tan, et al. ∙ 8 ∙ share

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A Mask-RCNN Baseline for Probabilistic Object Detection

The Probabilistic Object Detection Challenge evaluates object detection ...
08/09/2019 ∙ by Phil Ammirato, et al. ∙ 7 ∙ share

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How Much Can CLIP Benefit Vision-and-Language Tasks?

Most existing Vision-and-Language (V L) models rely on pre-trained vis...
07/13/2021 ∙ by Sheng Shen, et al. ∙ 7 ∙ share

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Deep Multi-View Learning via Task-Optimal CCA

Canonical Correlation Analysis (CCA) is widely used for multimodal data ...
07/17/2019 ∙ by Heather D. Couture, et al. ∙ 5 ∙ share

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Networks for Joint Affine and Non-parametric Image Registration

We introduce an end-to-end deep-learning framework for 3D medical image ...
03/21/2019 ∙ by Zhengyang Shen, et al. ∙ 4 ∙ share

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Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks

In this paper, we introduce an image quality assessment (IQA) method for...
04/07/2019 ∙ by Siyuan Liu, et al. ∙ 4 ∙ share

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Diagnosing the Environment Bias in Vision-and-Language Navigation

Vision-and-Language Navigation (VLN) requires an agent to follow natural...
05/06/2020 ∙ by Yubo Zhang, et al. ∙ 4 ∙ share

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Pano Popups: Indoor 3D Reconstruction with a Plane-Aware Network

In this work we present a method to train a plane-aware convolutional ne...
07/01/2019 ∙ by Marc Eder, et al. ∙ 3 ∙ share

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FVA: Modeling Perceived Friendliness of Virtual Agents Using Movement Characteristics

We present a new approach for improving the friendliness and warmth of a...
06/30/2019 ∙ by Tanmay Randhavane, et al. ∙ 3 ∙ share

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What is More Likely to Happen Next? Video-and-Language Future Event Prediction

Given a video with aligned dialogue, people can often infer what is more...
10/15/2020 ∙ by Jie Lei, et al. ∙ 3 ∙ share

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VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer

Since visual perception can give rich information beyond text descriptio...
07/06/2021 ∙ by Zineng Tang, et al. ∙ 3 ∙ share

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Neural Network Approximation of Refinable Functions

In the desire to quantify the success of neural networks in deep learnin...
07/28/2021 ∙ by Ingrid Daubechies, et al. ∙ 3 ∙ share

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Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning

Due to low tissue contrast, irregular object appearance, and unpredictab...
04/27/2018 ∙ by Jinquan Sun, et al. ∙ 2 ∙ share

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The Domain Transform Solver

We present a framework for edge-aware optimization that is an order of m...
05/11/2018 ∙ by Akash Bapat, et al. ∙ 2 ∙ share

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Recurrent Neural Network for Learning DenseDepth and Ego-Motion from Video

Learning-based, single-view depth estimation often generalizes poorly to...
05/17/2018 ∙ by Rui Wang, et al. ∙ 2 ∙ share

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Commonsense for Generative Multi-Hop Question Answering Tasks

Reading comprehension QA tasks have seen a recent surge in popularity, y...
09/17/2018 ∙ by Lisa Bauer, et al. ∙ 2 ∙ share

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StereoDRNet: Dilated Residual Stereo Net

We propose a system that uses a convolution neural network (CNN) to esti...
04/03/2019 ∙ by Rohan Chabra, et al. ∙ 2 ∙ share

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Realtime Simulation of Thin-Shell Deformable Materials using CNN-Based Mesh Embedding

We address the problem of accelerating thin-shell deformable object simu...
09/26/2019 ∙ by Qingyang Tan, et al. ∙ 1 ∙ share

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Estimating heterogeneous treatment effects with right-censored data via causal survival forests

There is fast-growing literature on estimating heterogeneous treatment e...
01/27/2020 ∙ by Yifan Cui, et al. ∙ 1 ∙ share

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MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning

Generating multi-sentence descriptions for videos is one of the most cha...
05/11/2020 ∙ by Jie Lei, et al. ∙ 1 ∙ share

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Deep Fiducial Inference

Since the mid-2000s, there has been a resurrection of interest in modern...
07/08/2020 ∙ by Gang Li, et al. ∙ 1 ∙ share

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SSD: Single Shot MultiBox Detector

We present a method for detecting objects in images using a single deep ...
12/08/2015 ∙ by Wei Liu, et al. ∙ 0 ∙ share

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Deep Convolutional Ranking for Multilabel Image Annotation

Multilabel image annotation is one of the most important challenges in c...
12/17/2013 ∙ by Yunchao Gong, et al. ∙ 0 ∙ share

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ParseNet: Looking Wider to See Better

We present a technique for adding global context to deep convolutional n...
06/15/2015 ∙ by Wei Liu, et al. ∙ 0 ∙ share

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DSSD : Deconvolutional Single Shot Detector

The main contribution of this paper is an approach for introducing addit...
01/23/2017 ∙ by Cheng-Yang Fu, et al. ∙ 0 ∙ share

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Fast Single Shot Detection and Pose Estimation

For applications in navigation and robotics, estimating the 3D pose of o...
09/19/2016 ∙ by Patrick Poirson, et al. ∙ 0 ∙ share

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Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization

We propose a new randomized coordinate descent method for a convex optim...
11/09/2017 ∙ by Ahmet Alacaoglu, et al. ∙ 0 ∙ share

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The Mean and Median Criterion for Automatic Kernel Bandwidth Selection for Support Vector Data Description

Support vector data description (SVDD) is a popular technique for detect...
08/16/2017 ∙ by Arin Chaudhuri, et al. ∙ 0 ∙ share

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Heat Kernel Smoothing in Irregular Image Domains

We present the discrete version of heat kernel smoothing on graph data s...
10/21/2017 ∙ by Moo K. Chung, et al. ∙ 0 ∙ share

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Hierarchically-Attentive RNN for Album Summarization and Storytelling

We address the problem of end-to-end visual storytelling. Given a photo ...
08/09/2017 ∙ by Licheng Yu, et al. ∙ 0 ∙ share

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University of North Carolina at Chapel Hill

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