University of North Carolina at Chapel Hill

research

∙ 05/04/2020

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

Algorithmic approaches to interpreting machine learning models have prol...

Peter Hase, et al. ∙

research

∙ 12/19/2019

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

Motivated by the transformative impact of deep neural networks (DNNs) on...

Mahmood Sharif, et al. ∙

research

∙ 09/27/2019

Automatically Learning Data Augmentation Policies for Dialogue Tasks

Automatic data augmentation (AutoAugment) (Cubuk et al., 2019) searches ...

Tong Niu, et al. ∙

research

∙ 04/13/2020

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

Reading comprehension models often overfit to nuances of training datase...

Adyasha Maharana, et al. ∙

research

∙ 01/17/2020

Modality-Balanced Models for Visual Dialogue

The Visual Dialog task requires a model to exploit both image and conver...

Hyounghun Kim, et al. ∙

research

∙ 01/22/2020

ManyModalQA: Modality Disambiguation and QA over Diverse Inputs

We present a new multimodal question answering challenge, ManyModalQA, i...

Darryl Hannan, et al. ∙

research

∙ 12/19/2019

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

This paper proposes a new defense called n-ML against adversarial exampl...

Mahmood Sharif, et al. ∙

research

∙ 04/21/2019

Metric Learning for Image Registration

Image registration is a key technique in medical image analysis to estim...

Marc Niethammer, et al. ∙

research

∙ 07/16/2021

Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting

Magnetic resonance Fingerprinting (MRF) is a relatively new multi-parame...

Yilin Liu, et al. ∙

research

∙ 10/21/2021

Integrating Visuospatial, Linguistic and Commonsense Structure into Story Visualization

While much research has been done in text-to-image synthesis, little wor...

Adyasha Maharana, et al. ∙

research

∙ 11/22/2019

ViewSynth: Learning Local Features from Depth using View Synthesis

We address the problem of jointly detecting keypoints and learning descr...

Jisan Mahmud, et al. ∙

research

∙ 01/23/2019

Composition and decomposition of GANs

In this work, we propose a composition/decomposition framework for adver...

Yeu-Chern Harn, et al. ∙

research

∙ 09/13/2019

Flow Models for Arbitrary Conditional Likelihoods

Understanding the dependencies among features of a dataset is at the cor...

Yang Li, et al. ∙

research

∙ 06/03/2020

FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function

Neural Architecture Search (NAS) yields state-of-the-art neural networks...

Xiaoliang Dai, et al. ∙

research

∙ 07/20/2021

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

Detecting customized moments and highlights from videos given natural la...

Jie Lei, et al. ∙

research

∙ 10/07/2021

SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection

We propose a multi-stage coarse-to-fine CNN-based framework, called Skul...

Qin Liu, et al. ∙

research

∙ 04/11/2022

Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning

Pre-trained sequence-to-sequence language models have led to widespread ...

Swarnadeep Saha, et al. ∙

research

∙ 06/30/2022

Masked Part-Of-Speech Model: Does Modeling Long Context Help Unsupervised POS-tagging?

Previous Part-Of-Speech (POS) induction models usually assume certain in...

Xiang Zhou, et al. ∙

research

∙ 01/13/2020

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

Domain adaptation performance of a learning algorithm on a target domain...

Han Guo, et al. ∙

research

∙ 02/08/2022

DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers

Generating images from textual descriptions has gained a lot of attentio...

Jaemin Cho, et al. ∙

research

∙ 05/27/2019

Graph Filtration Learning

We propose an approach to learning with graph-structured data in the pro...

Christoph Hofer, et al. ∙

research

∙ 02/03/2021

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...

Peter Hase, et al. ∙

research

∙ 03/19/2022

Read Top News First: A Document Reordering Approach for Multi-Document News Summarization

A common method for extractive multi-document news summarization is to r...

Chao Zhao, et al. ∙

research

∙ 05/11/2022

Learning to Retrieve Videos by Asking Questions

The majority of traditional text-to-video retrieval systems operate in s...

Avinash Madasu, et al. ∙

research

∙ 06/18/2019

Expressing Visual Relationships via Language

Describing images with text is a fundamental problem in vision-language ...

Hao Tan, et al. ∙

research

∙ 01/24/2020

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

We introduce a new multimodal retrieval task - TV show Retrieval (TVR), ...

Jie Lei, et al. ∙

research

∙ 03/18/2021

Lighting Enhancement Aids Reconstruction of Colonoscopic Surfaces

High screening coverage during colonoscopy is crucial to effectively pre...

Yubo Zhang, et al. ∙

research

∙ 06/21/2021

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

Video understanding relies on perceiving the global content and modeling...

Hao Tan, et al. ∙

research

∙ 09/15/2021

Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering

In this paper, we aim at synthesizing a free-viewpoint video of an arbit...

Youngjoong Kwon, et al. ∙

research

∙ 10/05/2021

Echo-Reconstruction: Audio-Augmented 3D Scene Reconstruction

Reflective and textureless surfaces such as windows, mirrors, and walls ...

Justin Wilson, et al. ∙

research

∙ 11/19/2021

ColDE: A Depth Estimation Framework for Colonoscopy Reconstruction

One of the key elements of reconstructing a 3D mesh from a monocular vid...

Yubo Zhang, et al. ∙

research

∙ 08/09/2019

A Mask-RCNN Baseline for Probabilistic Object Detection

The Probabilistic Object Detection Challenge evaluates object detection ...

Phil Ammirato, et al. ∙

research

∙ 07/13/2021

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

Most existing Vision-and-Language (V L) models rely on pre-trained vis...

Sheng Shen, et al. ∙

research

∙ 07/30/2021

EmailSum: Abstractive Email Thread Summarization

Recent years have brought about an interest in the challenging task of s...

Shiyue Zhang, et al. ∙

research

∙ 09/06/2021

Non-Euclidean Analysis of Joint Variations in Multi-Object Shapes

This paper considers joint analysis of multiple functionally related str...

Zhiyuan Liu, et al. ∙

research

∙ 09/23/2021

Finding a Balanced Degree of Automation for Summary Evaluation

Human evaluation for summarization tasks is reliable but brings in issue...

Shiyue Zhang, et al. ∙

research

∙ 04/04/2022

TALLFormer: Temporal Action Localization with Long-memory Transformer

Most modern approaches in temporal action localization divide this probl...

Feng Cheng, et al. ∙

research

∙ 09/11/2021

A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning

Virtual orthognathic surgical planning involves simulating surgical corr...

Deqiang Xiao, et al. ∙

research

∙ 10/05/2021

3D-MOV: Audio-Visual LSTM Autoencoder for 3D Reconstruction of Multiple Objects from Video

3D object reconstructions of transparent and concave structured objects,...

Justin Wilson, et al. ∙

research

∙ 04/22/2022

A Multi-level Alignment Training Scheme for Video-and-Language Grounding

To solve video-and-language grounding tasks, the key is for the network ...

Yubo Zhang, et al. ∙

research

∙ 07/17/2019

Deep Multi-View Learning via Task-Optimal CCA

Canonical Correlation Analysis (CCA) is widely used for multimodal data ...

Heather D. Couture, et al. ∙

research

∙ 10/28/2021

Dispensed Transformer Network for Unsupervised Domain Adaptation

Accurate segmentation is a crucial step in medical image analysis and ap...

Yunxiang Li, et al. ∙

research

∙ 11/26/2021

Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs

Do language models have beliefs about the world? Dennett (1995) famously...

Peter Hase, et al. ∙

research

∙ 06/13/2022

LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning

Fine-tuning large pre-trained models on downstream tasks has been adopte...

Yi-Lin Sung, et al. ∙

research

∙ 03/21/2019

Networks for Joint Affine and Non-parametric Image Registration

We introduce an end-to-end deep-learning framework for 3D medical image ...

Zhengyang Shen, et al. ∙

research

∙ 04/07/2019

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...

Siyuan Liu, et al. ∙

research

∙ 05/06/2020

Diagnosing the Environment Bias in Vision-and-Language Navigation

Vision-and-Language Navigation (VLN) requires an agent to follow natural...

Yubo Zhang, et al. ∙

research

∙ 11/01/2021

Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions

The problem of identifying algorithmic recourse for people affected by m...

Prateek Yadav, et al. ∙

research

∙ 07/05/2022

CLEAR: Improving Vision-Language Navigation with Cross-Lingual, Environment-Agnostic Representations

Vision-and-Language Navigation (VLN) tasks require an agent to navigate ...

Jialu Li, et al. ∙

research

∙ 07/01/2019

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

In this work we present a method to train a plane-aware convolutional ne...

Marc Eder, et al. ∙

University of North Carolina at Chapel Hill

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