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Publication date: 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

Publication date: 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

Publication date: 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

Publication date: 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

Publication date: 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

Publication date: 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

Publication date: 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

Publication date: January 3, 2021

Deep Interactive Thin Object Selection

WACV 2021

Jun Hao Liew, Scott Cohen, Brian Price, Long Mai, Jiashi Feng

Computer Vision, Imaging & Video

Publication date: January 1, 2021

Neural Architecture Search for Deep Image Prior

Elsevier Computers & Graphics (CAG)

Kary Ho, Andrew Gilbert, Hailin Jin, John Collomosse

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: January 1, 2021

Compositional Sketch Search

International Conference on Image Processing (ICIP)

Alexander Black, Tu Bui, Long Mai, Hailin Jin, John Collomosse

Computer Vision, Imaging & Video
Content Intelligence

Publication date: 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

Publication date: 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

Publication date: 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

Publication date: 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

Publication date: 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

Publication date: 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

Publication date: 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

Publication date: December 11, 2020

Audio-Based Music Structure Analysis: Current Trends, Open Challenges, and Applications

Transactions of the International Society for Music Information Retrieval (TISMIR)

Oriol Nieto, Gautham Mysore, Cheng-i Wang, Jordan B. L. Smith, Jan Schlüter, Thomas Grill, Brian McFee

AI & Machine Learning
Audio

Publication date: 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

Publication date: 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

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