Adobe at AAAI 2022

February 22, 2022

The image illustrates that existing Automated Scoring systems either do not involve humans in the scoring or utilize human raters for every response. In this paper, researchers target the spectrum of possible solutions in between.

This week the 2022 AAAI Conference on Artificial Intelligence (AAAI-22) will be held virtually from February 22 to March 1, 2022. AAAI is one of the top research conferences on machine learning. In recent years, deep learning approaches have made a significant impact at this conference. 

Adobe has co-authored a total of 12 papers at the AAAI 2022 conference, 1 paper at the EAAI 2022 conference, and 10 papers at two AAAI 2022 workshops. The research topics range from computer vision, machine learning, natural language processing, and many more. The EAAI 2022 is a related conference under the umbrella of AAAI 2022, called the Symposium on Educational Advances in Artificial Intelligence, to be held February 26-27, during the AAAI 2022 conference period. 

Adobe Research will co-organize two workshops at AAAI 2022: Scientific Document Understanding (SDU) and Video Transcript Understanding, which received 30 paper submissions. Adobe Research also organized two shared tasks: Acronym Identification and  Acronym Disambiguation, which attracted 21 participating teams. The results of shared tasks will be presented during the conference. 

Many of the accepted papers are the result of student internships or other collaborations with university students and faculty. Check out the Adobe Research Careers website to learn more about internships and full-time career opportunities

AAAI 2022 conference – Adobe co-authored papers 

Main conference papers 

CAISE: Conversational Agent for Image Search and Editing 
Hyounghun Kim, Doo Soon Kim, Seunghyun Yoon, Franck Dernoncourt, Trung Bui, Mohit Bansal 
 
Conditional Generative Model based Predicate-Aware Query Approximation
Nikhil Sheoran, Subrata Mitra, Vibhor Porwal, Siddharth Ghetia, Jatin Varshney, Tung Mai, Anup Rao, Vikas Maddukuri 
 
Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning 
Tong Mu, Georgios Theocharous, David Arbour, Emma Brunskill 
 
DiPS: Differentiable Policy for Sketching in Recommender Systems 
Aritra  Ghosh,  Saayan  Mitra,  Andrew  Lan 
 
Efficient Decentralized Stochastic Gradient Descent Method for Nonconvex Finite-sum Optimization Problems 
Wenkang Zhan, Gang Wu, Hongchang Gao 
 
Entailment Relation Aware Paraphrase Generation 
Abhilasha Sancheti, Rachel Rudinger, Balaji Vasan Srinivasan 
 
Fast Graph Neural Tangent Kernel via Kronecker Sketching 
Shunhua Jiang, Yunze Man, Zhao Song, Zheng Yu, Danyang Zhuo 
 
Hierarchical Image Generation via Transformer-based Sequential Patch Selection 
Xiaogang Wang, Ning Xu 
 
Information-Theoretic Bias Reduction from the Causal View of Spurious Correlation 
Seonguk Seo, Joon-Young Lee, Bohyung Han 
 
Interactive Image Generation with Natural-Language Feedback 
Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu, Changyou Chen, Jinhui Xu, Tong Sun 
 
MINIMAL: Mining Models for Universal Adversarial Triggers 
Yaman Kumar Singla, Swapnil B Parekh, Somesh Kumar Singh, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah 
 
XDC: Adversarial Adaptive Cross Domain Face Clustering 
Saed Rezayi, Handong Zhao, Sheng Li 

EAAI 2022 paper 

Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees 
Yaman Kumar Singla, Sriram Krishna, Rajiv Ratn Shah, Changyou Chen 

Workshop papers 

Leveraging Positional Information to Automatically Emphasize Key Portions of a Text 
Sebastian Gehrmann, Franck Dernoncourt 
Presented at the Scientific Document Understanding Workshop 
 
A Framework for Automated Summarization Benchmarking 
Steven Layne, Sebastian Gehrmann, Trung Bui, Walter Chang, Franck Dernoncourt 
Presented at the Scientific Document Understanding Workshop 
 
Acronym Extraction and Acronym Disambiguation Shared Tasks at the Scientific Document Understanding Workshop 2022 
Amir Pouran Ben Veyseh, Nicole Meister, Viet Dac Lai, Franck Dernoncourt, Thien Huu Nguyen 
Presented at the Scientific Document Understanding Workshop 
 
AI Previews: A Web-based System for Summarization of Livestreams 
Tim Ganter, Sajad Sotudeh, Franck Dernoncourt 
Presented at the Video Transcript Understanding Workshop 
 
SEGMENTANNO: An annotation tool for text segmentation 
Viet Dac Lai, Amir Pouran Ben Veyseh. Franck Dernoncourt, Thien Huu Nguyen 
Presented at the Video Transcript Understanding Workshop 

Benchmarking Punctuation Restoration APIs
Viet Dac Lai, Franck Dernoncourt, Thien Huu Nguyen 
Presented at the Video Transcript Understanding Workshop 

SmartCaptions: A fast, light-weight system for subtitle segmentation
Viet Dac Lai, Amir Pouran Ben Veyseh. Franck Dernoncourt, Thien Huu Nguyen 
Presented at the Video Transcript Understanding Workshop 

Tutorial Recommendation for Livestream Videos using Discourse-Level Consistency and Ontology-Based Filtering
Viet Dac Lai, Amir Pouran Ben Veyseh. Franck Dernoncourt, Thien Huu Nguyen 
Presented at the Video Transcript Understanding Workshop 

Evaluating Brand Message Adoption via Physician Audio Surveys
Franck Dernoncourt, Zhenya Antic, Vadzim Basinski, Maksim Lepiasevich, Adrian Sansone, Liubou Lebedeva
Presented at the Video Transcript Understanding Workshop 
 
Improving Keyphrase Extraction with Data Augmentation and Information Filtering
Amir Pouran Ben Veyseh, Quan Hung Tran, Seunghyun Yoon, Varun Manjunatha, Hanieh Deilamsalehy, Rajiv Jain, Trung Bui, Walter Chang, Franck Dernoncourt, Thien Huu Nguyen 
Presented at the Video Transcript Understanding Workshop 

Note:The ETS, Pearson PTE, SLTI, Linguaskill from Cambridge, Duolingo, and TrueNorth marks shown in the image above are the property of their respective owners and are used for nominative and illustrative purposes only.

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