AAAI 2024

2,864 papers

Knowledge Distillation from Single-Task Teachers to Multi-Task Student for End-to-End Autonomous Driving

Pedram Agand

Discovering Heterogeneous Causal Effects in Relational Data

Shishir Adhikari

Model AI Assignments 2024

Todd W. Neller, Pia Bideau, David Bierbach, Wolfgang Hönig, Nir Lipovetzky

Revitalizing Bahnaric Language through Neural Machine Translation: Challenges, Strategies, and Promising Outcomes

Hoang Nhat Khang Vo, Duc Dong Le, Tran Minh Dat Phan, Tan Sang Nguyen, Quoc Nguyen Pham

LERMO: A Novel Web Game for AI-Enhanced Sign Language Recognition

Adilson Medronha, Luís Lima, Janaína Claudio, Lucas Kupssinskü, Rodrigo C. Barros

GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting

Furong Jia, Kevin Wang, Yixiang Zheng, Defu Cao, Yan Liu

EnColor: Improving Visual Accessibility with a Deep Encoder-Decoder Image Corrector for Color Vision Deficient Individuals

Satyam Goyal, Kavya Sasikumar, Rohan Sheth, Akash Seelam, Taeyeong Choi

“Allot?” is “A Lot!” Towards Developing More Generalized Speech Recognition System for Accessible Communication

Grisha Bandodkar, Shyam Agarwal, Athul Krishna Sughosh, Sahilbir Singh, Taeyeong Choi

An Effectiveness Study of Teacher-Led AI Literacy Curriculum in K-12 Classrooms

Helen Zhang, Irene Lee, Katherine Moore

Dr. R.O. Bott Will See You Now: Exploring AI for Wellbeing with Middle School Students

Randi Williams, Sharifa Alghowinem, Cynthia Breazeal

From Consumers to Critical Users: Prompty, an AI Literacy Tool for High School Students

Deepak Varuvel Dennison, Raycelle C. C. Garcia, Parth Sarin, Jacob Wolf, Christine Bywater

AI, Ethics, and Education: The Pioneering Path of Sidekick Academy

Elizabeth Radday, Matt Mervis

Unplugged K-12 AI Learning: Exploring Representation and Reasoning with a Facial Recognition Game

Hansol Lim, Wookhee Min, Jessica Vandenberg, Veronica Cateté, Bradford Mott

Foundations of Autonomous Vehicles: A Curriculum Model for Developing Competencies in Artificial Intelligence and the Internet of Things for Grades 7–10

Elham Buxton, Elahe Javadi, Matthew Hagaman

Constructing Dreams Using Generative AI

Safinah Ali, Prerna Ravi, Randi Williams, Daniella DiPaola, Cynthia Breazeal

A Picture Is Worth a Thousand Words: Co-designing Text-to-Image Generation Learning Materials for K-12 with Educators

Safinah Ali, Prerna Ravi, Katherine Moore, Hal Abelson, Cynthia Breazeal

Students’ Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming

Zhengdong Zhang, Zihan Dong, Yang Shi, Thomas Price, Noboru Matsuda

From Raw Video to Pedagogical Insights: A Unified Framework for Student Behavior Analysis

Zefang Yu, Mingye Xie, Jingsheng Gao, Ting Liu, Yuzhuo Fu

Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy

Lin Ni, Sijie Wang, Zeyu Zhang, Xiaoxuan Li, Xianda Zheng

Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition

Hadar Mulian, Segev Shlomov, Lior Limonad, Alessia Noccaro, Silvia Buscaglione

RetLLM-E: Retrieval-Prompt Strategy for Question-Answering on Student Discussion Forums

Chancharik Mitra, Mihran Miroyan, Rishi Jain, Vedant Kumud, Gireeja Ranade

MineObserver 2.0: A Deep Learning & In-Game Framework for Assessing Natural Language Descriptions of Minecraft Imagery

Jay Mahajan, Samuel Hum, Jack Henhapl, Diya Yunus, Matthew Gadbury

Towards Building a Language-Independent Speech Scoring Assessment

Shreyansh Gupta, Abhishek Unnam, Kuldeep Yadav, Varun Aggarwal

Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments

Fahmid Morshed Fahid, Jonathan Rowe, Yeojin Kim, Shashank Srivastava, James Lester

A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students’ Formative Assessment Responses in Science

Clayton Cohn, Nicole Hutchins, Tuan Le, Gautam Biswas

Automatic Short Answer Grading for Finnish with ChatGPT

Li-Hsin Chang, Filip Ginter

CyberQ: Generating Questions and Answers for Cybersecurity Education Using Knowledge Graph-Augmented LLMs

Garima Agrawal, Kuntal Pal, Yuli Deng, Huan Liu, Ying-Chih Chen

Detecting AI-Generated Code Assignments Using Perplexity of Large Language Models

Zhenyu Xu, Victor S. Sheng

Co-designing AI Education Curriculum with Cross-Disciplinary High School Teachers

Benjamin Xie, Parth Sarin, Jacob Wolf, Raycelle C. C. Garcia, Victoria Delaney

Build Your Own Robot Friend: An Open-Source Learning Module for Accessible and Engaging AI Education

Zhonghao Shi, Amy O'Connell, Zongjian Li, Siqi Liu, Jennifer Ayissi

A Toolbox for Modelling Engagement with Educational Videos

Yuxiang Qiu, Karim Djemili, Denis Elezi, Aaneel Shalman Srazali, Maria Perez-Ortiz

Addressing Digital and AI Skills Gaps in European Living Areas: A Comparative Analysis of Small and Large Communities

Long Pham, Barry O'Sullivan, Teresa Scantamburlo, Tai Mai

Practical Sentiment Analysis for Education: The Power of Student Crowdsourcing

Robert Kasumba, Marion Neumman

ImageSTEAM: Teacher Professional Development for Integrating Visual Computing into Middle School Lessons

Suren Jayasuriya, Kimberlee Swisher, Joshua D. Rego, Sreenithy Chandran, John Mativo

Supporting Upper Elementary Students in Learning AI Concepts with Story-Driven Game-Based Learning

Anisha Gupta, Seung Lee, Bradford Mott, Srijita Chakraburty, Krista Glazewski

How Teachers Can Use Large Language Models and Bloom’s Taxonomy to Create Educational Quizzes

Sabina Elkins, Ekaterina Kochmar, Jackie C. K. Cheung, Iulian Serban

Artificial Intelligence in the CS2023 Undergraduate Computer Science Curriculum: Rationale and Challenges

Eric Eaton, Susan L. Epstein

A Framework for Approaching AI Education in Educator Preparation Programs

Nancye Blair Black, Stacy George, Amy Eguchi, J. Camille Dempsey, Elizabeth Langran

Does Any AI-Based Activity Contribute to Develop AI Conception? A Case Study with Italian Fifth and Sixth Grade Classes

Matteo Baldoni, Cristina Baroglio, Monica Bucciarelli, Sara Capecchi, Elena Gandolfi

Merging AI Incidents Research with Political Misinformation Research: Introducing the Political Deepfakes Incidents Database

Christina P. Walker, Daniel S. Schiff, Kaylyn Jackson Schiff

AI Risk Profiles: A Standards Proposal for Pre-deployment AI Risk Disclosures

Eli Sherman, Ian Eisenberg

When Your AI Becomes a Target: AI Security Incidents and Best Practices

Kathrin Grosse, Lukas Bieringer, Tarek R. Besold, Battista Biggio, Alexandre Alahi

AI Evaluation Authorities: A Case Study Mapping Model Audits to Persistent Standards

Arihant Chadda, Sean McGregor, Jesse Hostetler, Andrea Brennen

A Generalizable Theory-Driven Agent-Based Framework to Study Conflict-Induced Forced Migration

Zakaria Mehrab, Logan Stundal, Srinivasan Venkatramanan, Samarth Swarup, Bryan Leroy Lewis

Automated State Estimation for Summarizing the Dynamics of Complex Urban Systems Using Representation Learning

Maira Alvi, Tim French, Philip Keymer, Rachel Cardell-Oliver

A Model for Estimating the Economic Costs of Computer Vision Systems That Use Deep Learning

Neil Thompson, Martin Fleming, Benny J. Tang, Anna M. Pastwa, Nicholas Borge

End-to-End Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning

Md Nasim, Xinghang Zhang, Anter El-Azab, Yexiang Xue

Building Higher-Order Abstractions from the Components of Recommender Systems

Serdar Kadıoğlu, Bernard Kleynhans

Optimizing IT FinOps and Sustainability through Unsupervised Workload Characterization

Xi Yang, Rohan R. Arora, Saurabh Jha, Chandra Narayanaswami, Cheuk Lam

Tell Me What Is Good about This Property: Leveraging Reviews for Segment-Personalized Image Collection Summarization

Monika Wysoczanska, Moran Beladev, Karen Lastmann Assaraf, Fengjun Wang, Ofri Kleinfeld

Interactive Mars Image Content-Based Search with Interpretable Machine Learning

Bhavan Vasu, Steven Lu, Emily Dunkel, Kiri L. Wagstaff, Kevin Grimes

Attention-Based Models for Snow-Water Equivalent Prediction

Krishu K Thapa, Bhupinderjeet Singh, Supriya Savalkar, Alan Fern, Kirti Rajagopalan

AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data

Santosh Palaskar, Vijay Ekambaram, Arindam Jati, Neelamadhav Gantayat, Avirup Saha

BERTground: A Transformer-Based Model of Background Spectra on the ISS-Based NICER Space Telescope

Anh N. Nhu, Abderahmen Zoghbi

Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages

Leopold Müller, Patrick Hemmer, Moritz Queisner, Igor Sauer, Simeon Allmendinger

A Framework for Mining Speech-to-Text Transcripts of the Customer for Automated Problem Remediation

Prateeti Mohapatra, Gargi Dasgupta

Symbol Description Reading

Karol Lynch, Bradley Eck, Joern Ploennigs

TelTrans: Applying Multi-Type Telecom Data to Transportation Evaluation and Prediction via Multifaceted Graph Modeling

ChungYi Lin, Shen-Lung Tung, Hung-Ting Su, Winston H. Hsu

Combining Machine Learning and Queueing Theory for Data-Driven Incarceration-Diversion Program Management

Bingxuan Li, Antonio Castellanos, Pengyi Shi, Amy Ward

Improving Health Information Access in the World’s Largest Maternal Mobile Health Program via Bandit Algorithms

Arshika Lalan, Shresth Verma, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale

Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health

Harsh Kumar, Tong Li, Jiakai Shi, Ilya Musabirov, Rachel Kornfield

VeriCompress: A Tool to Streamline the Synthesis of Verified Robust Compressed Neural Networks from Scratch

Sawinder Kaur, Yi Xiao, Asif Salekin

Pharmacokinetics-Informed Neural Network for Predicting Opioid Administration Moments with Wearable Sensors

Bhanu Teja Gullapalli, Stephanie Carreiro, Brittany P Chapman, Eric L Garland, Tauhidur Rahman

Data-Driven Structural Fire Risk Prediction for City Properties

Rupasree Dey, Alan Fern

ETDPC: A Multimodality Framework for Classifying Pages in Electronic Theses and Dissertations

Muntabir Hasan Choudhury, Lamia Salsabil, William A. Ingram, Edward A. Fox, Jian Wu

CHRONOS: A Schema-Based Event Understanding and Prediction System

Maria Chang, Achille Fokoue, Rosario Uceda-Sosa, Parul Awasthy, Ken Barker

Neural Bookmarks: Information Retrieval with Deep Learning and EEG Data

Glenn Bruns, Michael Haidar

Improving Autonomous Separation Assurance through Distributed Reinforcement Learning with Attention Networks

Marc W. Brittain, Luis E. Alvarez, Kara Breeden

A Virtual Driving Instructor That Generates Personalized Driving Lessons Based on Student Skill Level

J. Fredrik R. Bjørnland, Yrjar Gedde, Johannes Rehm, Irina Reshodko, Odd Erik Gundersen

Multi-Stage Prompting for Next Best Agent Recommendations in Adaptive Workflows

Prerna Agarwal, Harshit Dave, Jayachandu Bandlamudi, Renuka Sindhgatta, Kushal Mukherjee

Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals

Siva Likitha Valluru, Biplav Srivastava, Sai Teja Paladi, Siwen Yan, Sriraam Natarajan

HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation

Hao Sun, Xiaoli Tang, Chengyi Yang, Zhenpeng Yu, Xiuli Wang

IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment

Yuliang Shi, Lin Cheng, Cheng Jiang, Hui Zhang, Guifeng Li

The Virtual Driving Instructor: Multi-Agent System Collaborating via Knowledge Graph for Scalable Driver Education

Johannes Rehm, Irina Reshodko, Stian Zimmermann Børresen, Odd Erik Gundersen

KAMEL: Knowledge Aware Medical Entity Linkage to Automate Health Insurance Claims Processing

Sheng Jie Lui, Cheng Xiang, Shonali Krishnaswamy

DCV2I: A Practical Approach for Supporting Geographers’ Visual Interpretation in Dune Segmentation with Deep Vision Models

Anqi Lu, Zifeng Wu, Zheng Jiang, Wei Wang, Eerdun Hasi

Transformer-Empowered Multi-Modal Item Embedding for Enhanced Image Search in E-commerce

Chang Liu, Peng Hou, Anxiang Zeng, Han Yu

A Submodular Optimization Approach to Accountable Loan Approval

Kyungsik Lee, Hana Yoo, Sumin Shin, Wooyoung Kim, Yeonung Baek

General Commerce Intelligence: Glocally Federated NLP-Based Engine for Privacy-Preserving and Sustainable Personalized Services of Multi-Merchants

Kyoung Jun Lee, Baek Jeong, Suhyeon Kim, Dam Kim, Dongju Park

Check-In Desk Scheduling Optimisation at CDG International Airport

Thibault Falque, Gilles Audemard, Christophe Lecoutre, Bertrand Mazure

Some Like It Small: Czech Semantic Embedding Models for Industry Applications

Jiří Bednář, Jakub Náplava, Petra Barančíková, Ondřej Lisický

Building Conversational Artifacts to Enable Digital Assistant for APIs and RPAs

Jayachandu Bandlamudi, Kushal Mukherjee, Prerna Agarwal, Ritwik Chaudhuri, Rakesh Pimplikar

Flood Insights: Integrating Remote and Social Sensing Data for Flood Exposure, Damage, and Urgent Needs Mapping

Zainab Akhtar, Umair Qazi, Aya El-Sakka, Rizwan Sadiq, Ferda Ofli

Post-trained Convolution Networks for Single Image Super-resolution (Abstract Reprint)

Seid Miad Zandavi

Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint)

Richard S. Sutton, Marlos C. Machado, G. Zacharias Holland, David Szepesvari, Finbarr Timbers

Your Prompt Is My Command: On Assessing the Human-Centred Generality of Multimodal Models (Abstract Reprint)

Wout Schellaert, Fernando Martínez-Plumed, Karina Vold, John Burden, Pablo A. M. Casares

Accurate Parameter Estimation for Safety-Critical Systems with Unmodeled Dynamics (Abstract Reprint)

Arnab Sarker, Peter Fisher, Joseph Gaudio, Anuradha Annaswamy

Actor Prioritized Experience Replay (Abstract Reprint)

Baturay Saglam, Furkan Mutlu, Dogan Cicek, Suleyman Kozat

Sequential Model-Based Diagnosis by Systematic Search (Abstract Reprint)

Patrick Rodler

TEAMSTER: Model-Based Reinforcement Learning for Ad Hoc Teamwork (Abstract Reprint)

João G. Ribeiro, Gonçalo Rodrigues, Alberto Sardinha, Francisco S. Melo

Introduction to the Special Track on Artificial Intelligence and COVID-19 (Abstract Reprint)

Martin Michalowski, Robert Moskovitch, Nitesh V. Chawla

Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint)

Vincent Liu, James R. Wright, Mrtha White

G–LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint)

Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu

Convolutional Spectral Kernel Learning with Generalization Guarantees (Abstract Reprint)

Jian Li, Yong Liu, Weiping Wang

The Defeat of the Winograd Schema Challenge (Abstract Reprint)

Vid Kocijan, Ernest Davis, Thomas Lukasiewicz, Gary Marcus, Leora Morgenstern

Reward (Mis)design for Autonomous Driving (Abstract Reprint)

W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone

Discovering Agents (Abstract Reprint)

Zachary Kenton, Ramana Kumar, Sebastian Farquhar, Jonathan Richens, Matt MacDermott

FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint)

Md Shahriar Iqbal, Jianhai Su, Lars Kotthoff, Pooyan Jamshidi

Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint)

Kai-Chieh Hsu, Allen Z. Ren, Duy P. Nguyen, Anirudha Majumdar, Jaime F. Fisac

A Survey of Learning Criteria Going beyond the Usual Risk (Abstract Reprint)

Matthew J. Holland, Kazuki Tanabe