AAAI 2022

1,624 papers

MMAN: Metapath Based Multi-Level Graph Attention Networks for Heterogeneous Network Embedding (Student Abstract)

Jie Liu, Lingyun Song, Li Gao, Xuequn Shang

Exploring Entity Interactions for Few-Shot Relation Learning (Student Abstract)

Yi Liang, Shuai Zhao, Bo Cheng, Yuwei Yin, Hao Yang

A Probabilistic Framework for Land Deformation Prediction (Student Abstract)

Rongfan Li, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong

Geotagging Social Media Posts to Landmarks Using Hierarchical BERT (Student Abstract)

Menglin Li, Kwan Hui Lim

SimCTC: A Simple Contrast Learning Method of Text Clustering (Student Abstract)

Chen Li, Xiaoguang Yu, Shuangyong Song, Jia Wang, Bo Zou

Social Aware Assignment of Passengers in Ridesharing (Student Abstract)

Chaya Levinger, Noam Hazon, Amos Azaria

TRACER: Extreme Attention Guided Salient Object Tracing Network (Student Abstract)

Min Seok Lee, WooSeok Shin, Sung Won Han

A Scalable Parallel Algorithm for Balanced Sampling (Student Abstract)

Alexander Lee, Stefan Walzer-Goldfeld, Shukry Zablah, Matteo Riondato

How to Reduce Action Space for Planning Domains? (Student Abstract)

Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi, Kavitha Srinivas

Balancing the Spread of Two Opinions in Sparse Social Networks (Student Abstract)

Dusan Knop, Šimon Schierreich, Ondřej Suchý

Predicting RNA Mutation Effects through Machine Learning of High-Throughput Ribozyme Experiments (Student Abstract)

Joseph Kitzhaber, Ashlyn Trapp, James Beck, Edoardo Serra, Francesca Spezzano

Tracking Down Misguiding Terms for Locating Bugs in Deep Learning-Based Software (Student Abstract)

Youngkyoung Kim, Misoo Kim, Eunseok Lee

FedCC: Federated Learning with Consensus Confirmation for Byzantine Attack Resistance (Student Abstract)

Woocheol Kim, Hyuk Lim

Gerrymandering under Uncertain Preferences (Student Abstract)

Benjamin Kelly

Code Representation Learning Using Prüfer Sequences (Student Abstract)

Tenzin Jinpa, Yong Gao

AsyncFL: Asynchronous Federated Learning Using Majority Voting with Quantized Model Updates (Student Abstract)

Suji Jang, Hyuk Lim

A Stochastic Momentum Accelerated Quasi-Newton Method for Neural Networks (Student Abstract)

S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai

A Discriminative and Robust Feature Learning Approach for EEG-Based Motor Imagery Decoding (Student Abstract)

Xiuyu Huang, Nan Zhou, Kup-Sze Choi

Detecting Neighborhood Gentrification at Scale via Street Views and POIs (Student Abstract)

Tianyuan Huang

Class-Wise Adaptive Self Distillation for Federated Learning on Non-IID Data (Student Abstract)

Yuting He, Yiqiang Chen, Xiaodong Yang, Yingwei Zhang, Bixiao Zeng

Deep Representation Debiasing via Mutual Information Minimization and Maximization (Student Abstract)

Ruijiang Han, Wei Wang, Yuxi Long, Jiajie Peng

A Simplified Benchmark for Ambiguous Explanations of Knowledge Graph Link Prediction Using Relational Graph Convolutional Networks (Student Abstract)

Nicholas Halliwell, Fabien Gandon, Freddy Lecue

Contrastive Personalization Approach to Suspect Identification (Student Abstract)

Devansh Gupta, Drishti Bhasin, Sarthak Bhagat, Shagun Uppal, Ponnurangam Kumaraguru

Memotion Analysis through the Lens of Joint Embedding (Student Abstract)

Nethra Gunti, Sathyanarayanan Ramamoorthy, Parth Patwa, Amitava Das

MBGRLp: Multiscale Bootstrap Graph Representation Learning on Pointcloud (Student Abstract)

Vandan Gorade, Azad Singh, Deepak Mishra

JoTA: Aligning Multilingual Job Taxonomies through Word Embeddings (Student Abstract)

Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica

An Ontological Approach towards Automatic Creation of Infographics from Formal Text (Student Abstract)

Devin Garg, Tanuj Agarwal, Chiranjoy Chattopadhyay

From Video to Images: Contrastive Pretraining for Emotion Recognition from Single Image (Student Abstract)

Bhanu Garg, Kijun Kim, Sudhanshu Ranjan

HuggingMolecules: An Open-Source Library for Transformer-Based Molecular Property Prediction (Student Abstract)

Piotr Gaiński, Łukasz Maziarka, Tomasz Danel, Stanisław Jastrzebski

Knowledge-Enhanced Scene Graph Generation with Multimodal Relation Alignment (Student Abstract)

Ze Fu, Junhao Feng, Changmeng Zheng, Yi Cai

Wind Prediction under Random Data Corruption (Student Abstract)

Conner Flansburg, Dimitrios I. Diochnos

Reinforcement Learning Explainability via Model Transforms (Student Abstract)

Mira Finkelstein, Lucy Liu, Yoav Kolumbus, David C. Parkes, Jeffrey S. Rosenshein

Identifying ATT&CK Tactics in Android Malware Control Flow Graph through Graph Representation Learning and Interpretability (Student Abstract)

Jeffrey Fairbanks, Andres Orbe, Christine Patterson, Edoardo Serra, Marion Scheepers

Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks (Student Abstract)

Amil Dravid, Aggelos K. Katsaggelos

Transformer-Based Unsupervised Learning for Early Detection of Sepsis (Student Abstract)

Yutao Dou, Wei Li, Albert Y. Zomaya

An Optimal Transport Approach to Deep Metric Learning (Student Abstract)

Jason Xiaotian Dou, Lei Luo, Raymond Mingrui Yang

Transformation of Emotions in Images Using Poisson Blended Generative Adversarial Networks (Student Abstract)

Aristidis Dernelakis, Jungin Kim, Kevin Velasquez, Lee Stearns

Does the Geometry of the Data Control the Geometry of Neural Predictions? (Student Abstract)

Anirudh Cowlagi, Pratik Chaudhari

An Emotion-Based Multi-Task Approach to Fake News Detection (Student Abstract)

Arjun Choudhry, Inder Khatri, Minni Jain

Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract)

Zhangtao Cheng, Ting Zhong, Kunpeng Zhang, Joojo Walker, Fan Zhou

Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract)

Ruibin Chen, Miao Zhang, Xin Zheng, Shirui Pan

Numerical Approximations of Log Gaussian Cox Process (Student Abstract)

Francois Buet-Golfouse, Hans Roggeman

Bridging the Gap between Expression and Scene Text for Referring Expression Comprehension (Student Abstract)

Yuqi Bu, Jiayuan Xie, Liuwu Li, Qiong Liu, Yi Cai

Controlling the Spread of Two Secrets in Diverse Social Networks (Student Abstract)

Václav Blažej, Dusan Knop, Šimon Schierreich

A Multimodal Fusion-Based LNG Detection for Monitoring Energy Facilities (Student Abstract)

Junchi Bin, Choudhury A. Rahman, Shane Rogers, Shan Du, Zheng Liu

INDEPROP: Information-Preserving De-propagandization of News Articles (Student Abstract)

Aaryan Bhagat, Faraaz Mallick, Neel Karia, Ayush Kaushal

Annotation Cost-Sensitive Deep Active Learning with Limited Data (Student Abstract)

Renaud Bernatchez, Audrey Durand, Flavie Lavoie-Cardinal

Deep Learning Based Side Channel Attacks on Lightweight Cryptography (Student Abstract)

Alexander Benjamin, Jack Herzoff, Liljana Babinkostova, Edoardo Serra

Multi-Dimension Attention for Multi-Turn Dialog Generation (Student Abstract)

Billal Belainine, Fatiha Sadat, Mounir Boukadoum

Manipulating SHAP via Adversarial Data Perturbations (Student Abstract)

Hubert Baniecki, Przemyslaw Biecek

Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract)

Arjun Ashok, Chaitanya Devaguptapu, Vineeth N Balasubramanian

A Deep Learning-Based Face Mask Detector for Autonomous Nano-Drones (Student Abstract)

Eiman AlNuaimi, Elia Cereda, Rafail Psiakis, Suresh Sugumar, Alessandro Giusti

PESTO: Switching Point Based Dynamic and Relative Positional Encoding for Code-Mixed Languages (Student Abstract)

Mohsin Ali, Sai Teja Kandukuri, Sumanth Manduru, Parth Patwa, Amitava Das

Using Graph-Aware Reinforcement Learning to Identify Winning Strategies in Diplomacy Games (Student Abstract)

Hansin Ahuja, Lynnette Hui Xian Ng, Kokil Jaidka

Mutual Understanding in Human-Machine Teaming

Rohan Paleja

On Semantic Cognition, Inductive Generalization, and Language Models

Kanishka Misra

Creating Interpretable Data-Driven Approaches for Tropical Cyclones Forecasting

Fan Meng

Dynamic Algorithmic Impact Assessment to Promote an Ethical Use of AI in Businesses

Shefeh Prisilia Mbuy

Socially Intelligent Affective AI

Aarti Malhotra

Creating Interactive Crowds with Reinforcement Learning

Ariel Kwiatkowski

On the Practical Robustness of the Nesterov’s Accelerated Quasi-Newton Method

S. Indrapriyadarsini, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai

Equilibrium Learning in Auction Markets

Stefan Heidekrüger

Evaluating Explanations of Relational Graph Convolutional Network Link Predictions on Knowledge Graphs

Nicholas Halliwell

An Algorithmic Theory of Markets and Their Application to Decentralized Markets

Denizalp Goktas

Towards Automating the Generation of Human-Robot Interaction Scenarios

Matthew C. Fontaine

Using Multimodal Data and AI to Dynamically Map Flood Risk

Lydia Bryan-Smith

Interpretable Privacy Preservation of Text Representations Using Vector Steganography

Geetanjali Bihani

Increasing the Diversity of Deep Generative Models

Sebastian Berns

AI-Driven Road Condition Monitoring across Multiple Nations

Deeksha Arya, Sanjay Kumar Ghosh, Durga Toshniwal

Towards Robust Named Entity Recognition via Temporal Domain Adaptation and Entity Context Understanding

Oshin Agarwal

Model AI Assignments 2022

Todd W. Neller, Jazmin Collins, Daniel Schneider, Yim Register, Christopher Brooks

AI Snap! Blocks for Speech Input and Output, Computer Vision, Word Embeddings, and Neural Net Creation, Training, and Use

Ken Kahn, Ramana Prasad, Gayathri Veera

StoryQ—an Online Environment for Machine Learning of Text Classification

William Finzer, Jie Chao, Carolyn Rose, Shiyan Jiang

Teaching AI with the Hands-On AI Projects for the Classroom Series

Nancye Blair Black

Paving the Way for Novices: How to Teach AI for K-12 Education in China

Jiachen Song, Linan Zhang, Jinglei Yu, Yan Peng, Anyao Ma

Artificial Intelligence Approaches to Build Ticket to Ride Maps

Iain Smith, Calin Anton

Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees

Yaman Kumar Singla, Sriram Krishna, Rajiv Ratn Shah, Changyou Chen

DeepQR: Neural-Based Quality Ratings for Learnersourced Multiple-Choice Questions

Lin Ni, Qiming Bao, Xiaoxuan Li, Qianqian Qi, Paul Denny

The Bullets Puzzle: A Paper-and-Pencil Minesweeper

Todd W. Neller, Hien G. Tran

Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations

Sein Minn, Jill-Jenn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu

Introducing Variational Autoencoders to High School Students

Zhuoyue Lyu, Safinah Ali, Cynthia Breazeal

Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence

Ana Lucic, Maurits Bleeker, Sami Jullien, Samarth Bhargav, Maarten de Rijke

Preparing High School Teachers to Integrate AI Methods into STEM Classrooms

Irene Lee, Beatriz Perret

Authentic Integration of Ethics and AI through Sociotechnical, Problem-Based Learning

Ari Krakowski, Eric Greenwald, Timothy Hurt, Brandie Nonnecke, Matthew Cannady

An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates

David Johnson, Mohammad Alsharid, Rasheed El-Bouri, Nigel Mehdi, Farah Shamout

Smartphone-Based Game Development to Introduce K12 Students in Applied Artificial Intelligence

Sara Guerreiro-Santalla, Alma Mallo, Tamara Baamonde, Francisco Bellas

I AM A.I. Gradient Descent – an Open-Source Digital Game for Inquiry-Based CLIL Learning

Carina Geldhauser, Andreas Daniel Matt, Christian Stussak

Game Balancing in Dominion: An Approach to Identifying Problematic Game Elements

Cassandra Ford, Merrick Ohata

Predictive Student Modelling in an Online Reading Platform

Effat Farhana, Teomara Rutherford, Collin F. Lynch

Ludus: An Optimization Framework to Balance Auto Battler Cards

Nathaniel Budijono, Phoebe Goldman, Jack Maloney, Joseph B. Mueller, Phillip Walker

Fast Heuristic Detection of Offensive Words in Wordwheel Puzzles

Anand D. Blum, R. Mitchell Parry

Interactive Visualizations of Word Embeddings for K-12 Students

Saptarashmi Bandyopadhyay, Jason Xu, Neel Pawar, David Touretzky

Game Design for Better Security of Combination Locks

Jean Pierre Astudillo Guerra, Karim Ahmed, Ryan Maher, Eddie Ubri, Jeremy Blum

A Socially Relevant Focused AI Curriculum Designed for Female High School Students

Lauren Alvarez, Isabella Gransbury, Veronica Cateté, Tiffany Barnes, Ákos Ledéczi

College Student Retention Risk Analysis from Educational Database Using Multi-Task Multi-Modal Neural Fusion

Mohammad Arif Ul Alam

Towards an AI-Infused Interdisciplinary Curriculum for Middle-Grade Classrooms

Bita Akram, Spencer Yoder, Cansu Tatar, Sankalp Boorugu, Ifeoluwa Aderemi

Accelerating COVID-19 Research with Graph Mining and Transformer-Based Learning

Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt, Krish Matta, Michael Shtutman

Seq2Pat: Sequence-to-Pattern Generation for Constraint-Based Sequential Pattern Mining

Xin Wang, Amin Hosseininasab, Pablo Colunga, Serdar Kadıoğlu, Willem-Jan van Hoeve

A Simulation-Based Evaluation Framework for Interactive AI Systems and Its Application

Maeda F. Hanafi, Yannis Katsis, Martín Santillán Cooper, Yunyao Li

AI Explainability 360: Impact and Design

Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind