AAAI 2023

2,023 papers

Can Graph Neural Networks Learn to Solve the MaxSAT Problem? (Student Abstract)

Minghao Liu, Pei Huang, Fuqi Jia, Fan Zhang, Yuchen Sun

Category-Guided Visual Question Generation (Student Abstract)

Hongfei Liu, Jiali Chen, Wenhao Fang, Jiayuan Xie, Yi Cai

Cross-Regional Fraud Detection via Continual Learning (Student Abstract)

Yujie Li, Yuxuan Yang, Qiang Gao, Xin Yang

Learning Generalizable Batch Active Learning Strategies via Deep Q-networks (Student Abstract)

Yi-Chen Li, Wen-Jie Shen, Boyu Zhang, Feng Mao, Zongzhang Zhang

Double Policy Network for Aspect Sentiment Triplet Extraction (Student Abstract)

Xuting Li, Daifeng Li, Ruo Du, Dingquan Chen, Andrew Madden

On Analyzing the Role of Image for Visual-Enhanced Relation Extraction (Student Abstract)

Lei Li, Xiang Chen, Shuofei Qiao, Feiyu Xiong, Huajun Chen

Evaluating Robustness of Vision Transformers on Imbalanced Datasets (Student Abstract)

Kevin Li, Rahul Duggal, Duen Horng Chau

Summarization Attack via Paraphrasing (Student Abstract)

Jiyao Li, Wei Liu

A Federated Learning Monitoring Tool for Self-Driving Car Simulation (Student Abstract)

Taejoon Lee, Hyunsu Mun, Youngseok Lee

Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies (Student Abstract)

Anish Lakkapragada, Essam Sleiman, Saimourya Surabhi, Dennis P. Wall

Sequential Graph Attention Learning for Predicting Dynamic Stock Trends (Student Abstract)

Tzu-Ya Lai, Wen Jung Cheng, Jun-En Ding

Incremental Density-Based Clustering with Grid Partitioning (Student Abstract)

Jeong-Hun Kim, Tserenpurev Chuluunsaikhan, Jong-Hyeok Choi, Aziz Nasridinov

CKS: A Community-Based K-shell Decomposition Approach Using Community Bridge Nodes for Influence Maximization (Student Abstract)

Inder Khatri, Aaryan Gupta, Arjun Choudhry, Aryan Tyagi, Dinesh Kumar Vishwakarma

In-Game Toxic Language Detection: Shared Task and Attention Residuals (Student Abstract)

Yuanzhe Jia, Weixuan Wu, Feiqi Cao, Soyeon Caren Han

Understand Restart of SAT Solver Using Search Similarity Index (Student Abstract)

Yoichiro Iida, Tomohiro Sonobe, Mary Inaba

Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract)

Yanlong Huang, Wenxin Tai, Ting Zhong, Kunpeng Zhang

A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract)

Li-Chun Huang, Nai-Zen Hsueh, Yen-Che Chien, Wei-Yao Wang, Kuang-Da Wang

Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract)

Jinyu Hong, Fan Zhou, Qiang Gao, Ping Kuang, Kunpeng Zhang

An Analysis of the Deliberation and Task Performance of an Active Logic Based Agent (Student Abstract)

Anthony Herron, Darsana P. Josyula

Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract)

Yi He, Wenxin Tai, Fan Zhou, Yi Yang

Invertible Conditional GAN Revisited: Photo-to-Manga Face Translation with Modern Architectures (Student Abstract)

Taro Hatakeyama, Ryusuke Saito, Komei Hiruta, Atsushi Hashimoto, Satoshi Kurihara

Unsupervised Contrastive Representation Learning for 3D Mesh Segmentation (Student Abstract)

Ayaan Haque, Hankyu Moon, Heng Hao, Sima Didari, Jae Oh Woo

Expert Data Augmentation in Imitation Learning (Student Abstract)

Fuguang Han, Zongzhang Zhang

Neural Implicit Surface Reconstruction from Noisy Camera Observations (Student Abstract)

Sarthak Gupta, Patrik Huber

Towards Safe Reinforcement Learning via OOD Dynamics Detection in Autonomous Driving System (Student Abstract)

Arnaud Gardille, Ola Ahmad

Towards Fair and Selectively Privacy-Preserving Models Using Negative Multi-Task Learning (Student Abstract)

Liyuan Gao, Huixin Zhan, Austin Chen, Victor S. Sheng

Safety Aware Neural Pruning for Deep Reinforcement Learning (Student Abstract)

Briti Gangopadhyay, Pallab Dasgupta, Soumyajit Dey

LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection (Student Abstract)

Joseph A. Gallego-Mejia, Oscar A. Bustos-Brinez, Fabio A. González

eCDANs: Efficient Temporal Causal Discovery from Autocorrelated and Non-stationary Data (Student Abstract)

Muhammad Hasan Ferdous, Uzma Hasan, Md Osman Gani

Transformer-Based Multi-Hop Question Generation (Student Abstract)

John Emerson, Yllias Chali

AlphaSnake: Policy Iteration on a Nondeterministic NP-Hard Markov Decision Process (Student Abstract)

Kevin Du, Ian Gemp, Yi Wu, Yingying Wu

Demystify the Gravity Well in the Optimization Landscape (Student Abstract)

Jason Xiaotian Dou, Runxue Bao, Susan Song, Shuran Yang, Yanfu Zhang

Performance Disparities between Accents in Automatic Speech Recognition (Student Abstract)

Alex DiChristofano, Henry Shuster, Shefali Chandra, Neal Patwari

Disentangling the Benefits of Self-Supervised Learning to Deployment-Driven Downstream Tasks of Satellite Images (Student Abstract)

Zhuo Deng, Yibing Wei, Mingye Zhu, Xueliang Wang, Junchi Zhou

Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora (Student Abstract)

Arjun Choudhry, Pankaj Gupta, Inder Khatri, Aaryan Gupta, Maxime Nicol

SR-AnoGAN: You Never Detect Alone. Super Resolution in Anomaly Detection (Student Abstract)

Minjong Cheon

CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract)

Zhangtao Cheng, Xovee Xu, Ting Zhong, Fan Zhou, Goce Trajcevski

Multi-Modal Protein Knowledge Graph Construction and Applications (Student Abstract)

Siyuan Cheng, Xiaozhuan Liang, Zhen Bi, Huajun Chen, Ningyu Zhang

Self-Paced Learning Based Graph Convolutional Neural Network for Mixed Integer Programming (Student Abstract)

Li Chen, Hua Xu, Ziteng Wang, Chengming Wang, Yu Jiang

AsT: An Asymmetric-Sensitive Transformer for Osteonecrosis of the Femoral Head Detection (Student Abstract)

Haoyang Chen, Shuai Liu, Feng Lu, Wei Li, Bin Sheng

SkateboardAI: The Coolest Video Action Recognition for Skateboarding (Student Abstract)

Hanxiao Chen

Towards Deployment-Efficient and Collision-Free Multi-Agent Path Finding (Student Abstract)

Feng Chen, Chenghe Wang, Fuxiang Zhang, Hao Ding, Qiaoyong Zhong

Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract)

Chao Chen, Dawei Wang, Feng Mao, Zongzhang Zhang, Yang Yu

An Emotion-Guided Approach to Domain Adaptive Fake News Detection Using Adversarial Learning (Student Abstract)

Arkajyoti Chakraborty, Inder Khatri, Arjun Choudhry, Pankaj Gupta, Dinesh Kumar Vishwakarma

Know Your Enemy: Identifying Adversarial Behaviours in Deep Reinforcement Learning Agents (Student Abstract)

Seán Caulfield Curley, Karl Mason, Patrick Mannion

Reconsidering Deception in Social Robotics: The Role of Human Vulnerability (Student Abstract)

Rachele Carli, Amro Najjar

Lightweight Transformer for Multi-Modal Object Detection (Student Abstract)

Yue Cao, Yanshuo Fan, Junchi Bin, Zheng Liu

Optimal Execution via Multi-Objective Multi-Armed Bandits (Student Abstract)

Francois Buet-Golfouse, Peter Hill

Model Selection of Graph Signage Models Using Maximum Likelihood (Student Abstract)

Angelina Brilliantova, Ivona Bezáková

Latent Space Evolution under Incremental Learning with Concept Drift (Student Abstract)

Charles Bourbeau, Audrey Durand

IdProv: Identity-Based Provenance for Synthetic Image Generation (Student Abstract)

Harshil Bhatia, Jaisidh Singh, Gaurav Sangwan, Aparna Bharati, Richa Singh

Robust Training for AC-OPF (Student Abstract)

Fuat Can Beylunioglu, Mehrdad Pirnia, P. Robert Duimering, Vijay Ganesh

Social Intelligence towards Human-AI Teambuilding (Student Abstract)

Morgan E Bailey, Frank E Pollick

PanTop: Pandemic Topic Detection and Monitoring System (Student Abstract)

Yangxiao Bai, Kaiqun Fu

FV-Train: Quantum Convolutional Neural Network Training with a Finite Number of Qubits by Extracting Diverse Features (Student Abstract)

Hankyul Baek, Won Joon Yun, Joongheon Kim

Hey, Siri! Why Are You Biased against Women? (Student Abstract)

Surakshya Aryal, Mikel K. Ngueajio, Saurav Keshari Aryal, Gloria Washington

Modeling Metacognitive and Cognitive Processes in Data Science Problem Solving (Student Abstract)

Maryam Alomair, Shimei Pan, Lujie Karen Chen

Multi-Horizon Learning in Procedurally-Generated Environments for Off-Policy Reinforcement Learning (Student Abstract)

Raja Farrukh Ali, Kevin Duong, Nasik Muhammad Nafi, William Hsu

Efficient Algorithms for Regret Minimization in Billboard Advertisement (Student Abstract)

Dildar Ali, Ankit Kumar Bhagat, Suman Banerjee, Yamuna Prasad

Deep Learning for Medical Prediction in Electronic Health Records

Xinlu Zhang

Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes

Huixin Zhan, Victor S. Sheng

Failure-Resistant Intelligent Interaction for Reliable Human-AI Collaboration

Hiromu Yakura

Learning and Planning under Uncertainty for Conservation Decisions

Lily Xu

Meta Learning in Decentralized Neural Networks: Towards More General AI

Yuwei Sun

Embodied, Intelligent Communication for Multi-Agent Cooperation

Esmaeil Seraj

Learning Better Representations Using Auxiliary Knowledge

Saed Rezayi

Knowledge-Embedded Narrative Construction from Open Source Intelligence

Priyanka Ranade

Topics in Selective Classification

Andrea Pugnana

Multimodal Deep Generative Models for Remote Medical Applications

Catherine Ordun

Theory of Mind: A Familiar Aspect of Humanity to Give Machines

Joel Michelson

Safe Interactive Autonomy for Multi-Agent Systems

Yiwei Lyu

Poisoning-Based Backdoor Attacks in Computer Vision

Yiming Li

Explaining the Uncertainty in AI-Assisted Decision Making

Thao Le

Efficient Non-parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection

Joseph A. Gallego-Mejia

Assessing Learned Representations under Open-World Novelty

Kaleigh Clary

Enhancing Smart, Sustainable Mobility with Game Theory and Multi-Agent Reinforcement Learning With Applications to Ridesharing

Lucia Cipolina-Kun

Non-exponential Reward Discounting in Reinforcement Learning

Raja Farrukh Ali

Modeling Strategies as Programs: How to Study Strategy Differences in Intelligent Systems with Program Synthesis

James Ainooson

Probabilistic Shape Models of Anatomy Directly from Images

Jadie Adams

Model AI Assignments 2023

Todd W. Neller, Raechel Walker, Olivia Dias, Zeynep Yalçın, Cynthia Breazeal

Music-to-Facial Expressions: Emotion-Based Music Visualization for the Hearing Impaired

Yubo Wang, Fengzhou Pan, Danni Liu, Jiaxiong Hu

Emotion-Aware Music Recommendation

Hieu Tran, Tuan Le, Anh Do, Tram Vu, Steven Bogaerts

Predicting Perceived Music Emotions with Respect to Instrument Combinations

Viet Dung Nguyen, Quan H. Nguyen, Richard G. Freedman

Learning Adaptive Game Soundtrack Control

Aaron Dorsey, Todd W. Neller, Hien G. Tran, Veysel Yilmaz

A Multi-User Virtual World with Music Recommendations and Mood-Based Virtual Effects

Charats Burch, Robert Sprowl, Mehmet Ergezer

MoMusic: A Motion-Driven Human-AI Collaborative Music Composition and Performing System

Weizhen Bian, Yijin Song, Nianzhen Gu, Tin Yan Chan, Tsz To Lo

Literacy and STEM Teachers Adapt AI Ethics Curriculum

Benjamin Walsh, Bridget Dalton, Stacey Forsyth, Tom Yeh

Guiding Students to Investigate What Google Speech Recognition Knows about Language

David S. Touretzky, Christina Gardner-McCune

Develop AI Teaching and Learning Resources for Compulsory Education in China

Jiachen Song, Jinglei Yu, Li Yan, Linan Zhang, Bei Liu

Build-a-Bot: Teaching Conversational AI Using a Transformer-Based Intent Recognition and Question Answering Architecture

Kate Pearce, Sharifa Alghowinem, Cynthia Breazeal

“How Can I Code A.I. Responsibly?”: The Effect of Computational Action on K-12 Students Learning and Creating Socially Responsible A.I.

H. Nicole Pang, Robert Parks, Cynthia Breazeal, Hal Abelson

Scratch for Sports: Athletic Drills as a Platform for Experiencing, Understanding, and Developing AI-Driven Apps

Vishesh Kumar, Marcelo Worsley

An Introduction to Rule-Based Feature and Object Perception for Middle School Students

Daniella DiPaola, Parker Malachowsky, Nancye Blair Black, Sharifa Alghowinem, Xiaoxue Du

Exploring Artificial Intelligence in English Language Arts with StoryQ

Jie Chao, Rebecca Ellis, Shiyan Jiang, Carolyn Rose, William Finzer

Beyond Black-Boxes: Teaching Complex Machine Learning Ideas through Scaffolded Interactive Activities

Brian Broll, Shuchi Grover

AI Audit: A Card Game to Reflect on Everyday AI Systems

Safinah Ali, Vishesh Kumar, Cynthia Breazeal

Solving Math Word Problems concerning Systems of Equations with GPT-3

Mingyu Zong, Bhaskar Krishnamachari

Detecting Exclusive Language during Pair Programming

Solomon Ubani, Rodney Nielsen, Helen Li

H-AES: Towards Automated Essay Scoring for Hindi

Shubhankar Singh, Anirudh Pupneja, Shivaansh Mital, Cheril Shah, Manish Bawkar

CLGT: A Graph Transformer for Student Performance Prediction in Collaborative Learning

Tianhao Peng, Yu Liang, Wenjun Wu, Jian Ren, Zhao Pengrui