Publications

Published April 19, 2021

DRAG: Director-Generator Language Modelling Framework for Non-Parallel Author Stylized Rewriting

EACL 2021

Hrituraj Singh, Gaurav Verma, Aparna Garimella, Balaji Vasan Srinivasan
  • AI & Machine Learning
  • 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 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

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
  • 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 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

Towards Safe Policy Improvement for Non-Stationary MDPs

Neural Information Processing Systems (NeurIPS 2020)

Yash Chandak, Scott Jordan, Georgios Theocharous, Martha White, Philip S. Thomas
Spotlight
  • AI & Machine Learning

Published December 6, 2020

Few-shot Image Generation via Self-adaptation

Neurips 2020

Yijun Li, Richard Zhang, Jingwan (Cynthia) Lu, Eli Shechtman
  • AI & Machine Learning
  • Computer Vision, Imaging & Video

Published December 6, 2020

Swapping Autoencoder for Deep Image Manipulation

Neurips 2020

Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan (Cynthia) Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang
  • AI & Machine Learning
  • Computer Vision, Imaging & Video

Published December 4, 2020

A Benchmark and Baseline for Language-Driven Image Editing

ACCV 2020

Jing Shi, Ning Xu, Trung Bui, Franck Dernoncourt, Zheng Wen, Chenliang Xu
  • AI & Machine Learning
  • Computer Vision, Imaging & Video
  • Natural Language Processing

Published December 4, 2020

DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces

SIGGRAPH Asia

Minhyuk Sung, Zhenyu Jiang, Panos Achlioptas, Niloy J. Mitra, Leonidas J. Guibas
  • AI & Machine Learning
  • Graphics (2D & 3D)
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