Publications

Published February 24, 2021

Learning to Detect Incongruence in News Headline and Body Text via a Graph Neural Network

IEEE Access

David Seunghyun Yoon, Kunwoo Park, Minwoo Lee, Taegyun Kim, Meeyoung Cha, Kyomin Jung
  • AI & Machine Learning
  • Document Intelligence
  • Natural Language Processing

Published February 9, 2021

Scheduling of Time-Varying Workloads using Reinforcement Learning

35th AAAI Conference on Artificial Intelligence (AAAI)

Shanka Subhra Mondal, Nikhil Sheoran, Subrata Mitra
  • AI & Machine Learning
  • Systems & Languages

Published February 9, 2021

Interaction Matching for Long-Tail Multi-Label Classification

AAAI 2021 Workshop on Scientific Document Understanding

Sean Macavaney, Franck Dernoncourt, Walter Chang, Nazli Goharian, Ophir Frieder
  • AI & Machine Learning
  • Document Intelligence
  • Natural Language Processing

Published February 9, 2021

Acronym Identification and Disambiguation shared tasks for Scientific Document Understanding

AAAI 2021 Workshop on Scientific Document Understanding

Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Huu Nguyen, Walter Chang, Leo Anthony Celi
  • AI & Machine Learning
  • Document Intelligence
  • Natural Language Processing

Published February 8, 2021

Learning to Emphasize: Dataset and Shared Task Models for Selecting Emphasis in Presentation Slides

AAAI 2021 Workshop on Content Authoring and Design (CAD21)

Amirreza Shirani, Giai Tran, Hieu Trinh, Franck Dernoncourt, Nedim Lipka, Paul Asente, Jose Echevarria, Thamar Solorio
  • AI & Machine Learning
  • Document Intelligence
  • Natural Language Processing

Published February 2, 2021

Scene Graph Embeddings Using Relative Similarity Supervision

35th AAAI Conference on Artificial Intelligence (AAAI 2021)

Paridhi Maheshwari, Ritwick Chaudhry, Vishwa Vinay
  • AI & Machine Learning
  • Computer Vision, Imaging & Video
  • Content Intelligence

Published January 5, 2021

Revisiting Adaptive Convolutions for Video Frame Interpolation

IEEE Winter Conference on Applications of Computer Vision

Simon Niklaus, Long Mai, Oliver Wang
  • AI & Machine Learning
  • Computer Vision, Imaging & Video

Published January 5, 2021

Learned Dual-View Reflection Removal

IEEE Winter Conference on Applications of Computer Vision

Simon Niklaus, Xuaner Zhang, Jonathan T. Barron, Neal Wadhwa, Rahul Garg, Feng Liu, Tianfan Xue
  • AI & Machine Learning
  • Computer Vision, Imaging & Video

Published January 5, 2021

Improved Techniques for Training Single-Image GANs

IEEE Winter Conference on Applications of Computer Vision (WACV)

Tobias Hinz, Matt Fisher, Oliver Wang, Stefan Wermter
  • AI & Machine Learning
  • Computer Vision, Imaging & Video

Published January 5, 2021

Fine-grained Foreground Retrieval Via Teacher-Student Learning

Winter Conference on Applications of Computer Vision (WACV'21)

Zongze Wu, Dani Lischinski, Eli Shechtman
  • AI & Machine Learning
  • Computer Vision, Imaging & Video

Published December 16, 2020

Collaborative Training of GANs in Continuous and Discrete Spaces for Text Generation

IEEE Access

Yanghoon Kim, Seungpil Won, David Seunghyun Yoon, Kyomin Jung
  • AI & Machine Learning
  • Document Intelligence
  • Natural Language Processing

Published December 15, 2020

Understanding and Explicitly Measuring Linguistic and Stylistic Properties of Deception via Generation and Translation

The 13th International Conference on Natural Language Generation (INLG 2020)

Emily Saldanha, Aparna Garimella, Svitlana Volkova
  • AI & Machine Learning
  • Natural Language Processing

Published December 13, 2020

SemEval-2020 Task 6: Definition extraction from free text with the DEFT corpus

SemEval 2020

Sasha Spala, Nicholas Miller, Franck Dernoncourt, Carl Dockhorn
  • AI & Machine Learning
  • Content Intelligence
  • Document Intelligence
  • Natural Language Processing

Published December 13, 2020

SemEval-2020 Task 10: Emphasis Selection for Written Text in Visual Media

SemEval 2020

Amirreza Shirani, Franck Dernoncourt, Nedim Lipka, Paul Asente, Jose Echevarria, Thamar Solorio
  • AI & Machine Learning
  • Content Intelligence
  • Document Intelligence
  • Natural Language Processing

Published December 13, 2020

What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation

COLING 2020

Amir Pouran Ben Veyseh, Franck Dernoncourt, Quan Hung Tran, Thien Huu Nguyen
  • AI & Machine Learning
  • Document Intelligence
  • Natural Language Processing

Published December 13, 2020

Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering

COLING 2020

Quan Hung Tran, Nhan Dam, Tuan Lai, Franck Dernoncourt, Trung Le, Nham Le, Dinh Phung
  • AI & Machine Learning
  • Document Intelligence
  • Intelligent Agents & Assistants
  • Natural Language Processing

Published December 12, 2020

Constraint Sampling Reinforcement Learning for Recommendation Systems

Challenges of Real-World RL, NeurIPS 2020 Workshop

Tong Mu, Georgios Theocharous, David Arbour
  • AI & Machine Learning

Published December 8, 2020

“Judge me by my size (noun), do you?” YodaLib: A Demographic-Aware Humor Generation Framework

The 28th International Conference on Computational Linguistics (COLING 2020)

Aparna Garimella, Carmen Banea, Nabil Hossain, Rada Mihalcea
  • AI & Machine Learning
  • Natural Language Processing

Published December 7, 2020

A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion

AACL-IJCNLP 2020

Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Walter Chang, Fei Liu
  • AI & Machine Learning
  • Document Intelligence
  • Natural Language Processing

Published December 6, 2020

Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data

Conference on Neural Information Processing Systems (NeurIPS)

Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee
  • AI & Machine Learning
  • Computer Vision, Imaging & Video
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