AAAI 2024

2,864 papers

Welfare Maximization in Perpetual Voting (Student Abstract)

Tzeh Yuan Neoh, Nicholas Teh

MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract)

Dexter Neo

SkillCLIP: Skill Aware Modality Fusion Visual Question Answering (Student Abstract)

Atharva Naik, Yash Parag Butala, Navaneethan Vaikunthan, Raghav Kapoor

An Empirical Study of Distributed Deep Learning Training on Edge (Student Abstract)

Christine Mwase, Albert Njoroge Kahira, Zhuo Zou

Several Stories about High-Multiplicity EFx Allocation (Student Abstract)

Nikita Morozov, Artur Ignatiev, Yuriy Dementiev

Enhanced Optical Character Recognition by Optical Sensor Combined with BERT and Cosine Similarity Scoring (Student Abstract)

Woohyeon Moon, Sarvar Nengroo, Taeyoung Kim, Jihui Lee, Seungah Son

Topological and Node Noise Filtering on 3D Meshes Using Graph Neural Networks (Student Abstract)

Vladimir Mashurov, Natalia Semenova

Towards Robustness to Natural Variations and Distribution Shift (Student Abstract)

Josué Martínez-Martínez, Olivia Brown, Rajmonda Caceres

Fast and Knowledge-Free Deep Learning for General Game Playing (Student Abstract)

Michał Maras, Michał Kępa, Jakub Kowalski, Marek Szykuła

Graph Clustering Methods Derived from Column Subset Selection (Student Abstract)

Wei Mao, Guihong Wan, Haim Schweitzer

Research of Event Reconstruct Based on Multi-View Contrastive Learning (Student Abstract)

Yuefeng Ma, Zhongchao He, Shumei Wang

Optimizing Recall in Deep Graph Hashing Framework for Item Retrieval (Student Abstract)

Fangyuan Luo, Jun Wu

Fair Representation Learning with Maximum Mean Discrepancy Distance Constraint (Student Abstract)

Alexandru Lopotenco, Ian Tong Pan, Jack Zhang, Guan Xiong Qiao

icsPLMs: Exploring Pre-trained Language Models in Intelligent Customer Service (Student Abstract)

Shixuan Liu, Chao Wang, Shuangyong Song

DNIT: Enhancing Day-Night Image-to-Image Translation through Fine-Grained Feature Handling (Student Abstract)

Hanyue Liu, Haonan Cheng, Long Ye

Enhance Diversified Top-k MaxSAT Solving by Incorporating New Strategy for Generating Diversified Initial Assignments (Student Abstract)

Jiaxin Liang, Junping Zhou, Minghao Yin

A SAT Solver and Computer Algebra Attack on the Minimum Kochen-Specker Problem (Student Abstract)

Zhengyu Li, Curtis Bright, Vijay Ganesh

Shallow Diffusion for Fast Speech Enhancement (Student Abstract)

Yue Lei, Bin Chen, Wenxin Tai, Ting Zhong, Fan Zhou

Automated Assessment of Fidelity and Interpretability: An Evaluation Framework for Large Language Models’ Explanations (Student Abstract)

Mu-Tien Kuo, Chih-Chung Hsueh, Richard Tzong-Han Tsai

Novel Class Discovery for Representation of Real-World Heritage Data as Neural Radiance Fields (Student Abstract)

Shivanand Kundargi, Tejas Anvekar, Ramesh Tabib, Uma Mudenagudi

Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract)

Daya Kumar, Abhijith Sharma, Apurva Narayan

Meta-Crafting: Improved Detection of Out-of-Distributed Texts via Crafting Metadata Space (Student Abstract)

Ryan Koo, Yekyung Kim, Dongyeop Kang, Jaehyung Kim

Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract)

Rui Kong, Chenyang Wu, Zongzhang Zhang

Cluster-Based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract)

Taeyoung Kim, Dongsoo Har

IncepSeqNet: Advancing Signal Classification with Multi-Shape Augmentation (Student Abstract)

Jongseok Kim, Ohyun Jo

LaMAR: Laplacian Pyramid for Multimodal Adaptive Super Resolution (Student Abstract)

Aditya Kasliwal, Aryan Kamani, Ishaan Gakhar, Pratinav Seth, Sriya Rallabandi

Decompositions in Compositional Translation of LTLf to DFA (Student Abstract)

Yash Kankariya, Suguman Bansal

Multivariate Time-Series Imagification with Time Embedding in Constrained Environments (Student Abstract)

Seung Woo Kang, Ohyun Jo

Effective Data Distillation for Tabular Datasets (Student Abstract)

Inwon Kang, Parikshit Ram, Yi Zhou, Horst Samulowitz, Oshani Seneviratne

Solar Power Generation Forecasting via Multimodal Feature Fusion (Student Abstract)

Eul Ka, Seungeun Go, Minjin Kwak, Jeong-Hun Kim, Aziz Nasridinov

Evaluating the Effectiveness of Explainable Artificial Intelligence Approaches (Student Abstract)

Jinsun Jung, Hyeoneui Kim

Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract)

Amelia Jobe, Richard Ky, Sandra Luo, Akshay Dhamsania, Sumit Purohit

Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract)

Yixuan Jin, Yutao Wei, Zhangtao Cheng, Wenxin Tai, Chunjing Xiao

BertRLFuzzer: A BERT and Reinforcement Learning Based Fuzzer (Student Abstract)

Piyush Jha, Joseph Scott, Jaya Sriram Ganeshna, Mudit Singh, Vijay Ganesh

Explainable Earnings Call Representation Learning (Student Abstract)

Yanlong Huang, Yue Lei, Wenxin Tai, Zhangtao Cheng, Ting Zhong

Novax or Novak? Estimating Social Media Stance towards Celebrity Vaccine Hesitancy (Student Abstract)

Madhav Hota, Adel Khorramrouz, Ashiqur R. KhudaBukhsh

Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract)

Jinyu Hong, Ping Kuang, Qiang Gao, Fan Zhou

Structurally Guided Task Decomposition in Spatial Navigation Tasks (Student Abstract)

Ruiqi He, Carlos G. Correa, Tom L. Griffiths, Mark K. Ho

Digital Twin-Driven Teat Localization and Shape Identification for Dairy Cow (Student Abstract)

Aarushi Gupta, Yuexing Hao, Yuting Yang, Tiancheng Yuan, Matthias Wieland

Towards a Transformer-Based Reverse Dictionary Model for Quality Estimation of Definitions (Student Abstract)

Julien Guité-Vinet, Alexandre Blondin Massé, Fatiha Sadat

BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract)

Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li

Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss (Student Abstract)

Jaidev Gill, Vala Vakilian, CHRISTOS THRAMPOULIDIS

Enhancing Transcription Factor Prediction through Multi-Task Learning (Student Abstract)

Liyuan Gao, Matthew Zhang, Victor S. Sheng

Multilingual Medical Language Models: A Path to Improving Lay Health Worker Effectiveness (Student Abstract)

Agasthya Gangavarapu

Memory-Augmenting Decoder-Only Language Models through Encoders (Student Abstract)

Alessio Galatolo, Katie Winkle

Evaluating the Efficacy of Prompting Techniques for Debiasing Language Model Outputs (Student Abstract)

Shaz Furniturewala, Surgan Jandial, Abhinav Java, Simra Shahid, Pragyan Banerjee

Spatial-Temporal Augmentation for Crime Prediction (Student Abstract)

Hongzhu Fu, Fan Zhou, Qing Guo, Qiang Gao

Potential-Based Reward Shaping for Intrinsic Motivation (Student Abstract)

Grant C. Forbes, David L. Roberts

Local Consistency Guidance: Personalized Stylization Method of Face Video (Student Abstract)

Wancheng Feng, Yingchao Liu, Jiaming Pei, Wenxuan Liu, Chunpeng Tian

Sequential Modeling of Complex Marine Navigation: Case Study on a Passenger Vessel (Student Abstract)

Yimeng Fan, Pedram Agand, Mo Chen, Edward J. Park, Allison Kennedy

PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract)

Eric Enouen, Sebastian Caldas, Mononito Goswami, Artur Dubrawski

A SAT + Computer Algebra System Verification of the Ramsey Problem R(3, 8) (Student Abstract)

Conor Duggan, Zhengyu Li, Curtis Bright, Vijay Ganesh

Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers (Student Abstract)

Danilo Dordevic, Vukasin Bozic, Joseph Thommes, Daniele Coppola, Sidak Pal Singh

Kepler Light Curve Classification Using Deep Learning and Markov Transition Field (Student Abstract)

Shane Donnelly, Ayan Dutta

Scene Flow Prior Based Point Cloud Completion with Masked Transformer (Student Abstract)

Junzhe Ding, Yufei Que, Jin Zhang, Cheng Wu

Improving Faithfulness in Abstractive Text Summarization with EDUs Using BART (Student Abstract)

Narjes Delpisheh, Yllias Chali

Strategic Recommendation: Revenue Optimal Matching for Online Platforms (Student Abstract)

Luca D'Amico-Wong, Gary Qiurui Ma, David Parkes

Contrastive Learning for Low-Light Raw Denoising (Student Abstract)

Taoyong Cui, Yuhan Dong

Simple Orthogonal Graph Representation Learning (Student Abstract)

Taoyong Cui, Yuhan Dong

STViT: Improving Self-Supervised Multi-Camera Depth Estimation with Spatial-Temporal Context and Adversarial Geometry Regularization (Student Abstract)

Zhuo Chen, Haimei Zhao, Bo Yuan, Xiu Li

Dual Mapping of 2D StyleGAN for 3D-Aware Image Generation and Manipulation (Student Abstract)

Zhuo Chen, Haimei Zhao, Chaoyue Wang, Bo Yuan, Xiu Li

MapLE: Matching Molecular Analogues Promptly with Low Computational Resources by Multi-Metrics Evaluation (Student Abstract)

Xiaojian Chen, Chuyue Liao, Yanhui Gu, Yafei Li, Jinlan Wang

The Language Model Can Have the Personality: Joint Learning for Personality Enhanced Language Model (Student Abstract)

Tianyi Chen, Feiqi Cao, Yihao Ding, Caren Han

Interpreting Temporal Knowledge Graph Reasoning (Student Abstract)

Bin Chen, Kai Yang, Wenxin Tai, Zhangtao Cheng, Leyuan Liu

Data-Driven Discovery of Design Specifications (Student Abstract)

Angela Chen, Nicholas Gisolfi, Artur Dubrawski

JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract)

Yifu Cai, Arvind Srinivasan, Mononito Goswami, Arjun Choudhry, Artur Dubrawski

The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers (Student Abstract)

Rickard Brännvall

Coalition Formation for Task Allocation Using Multiple Distance Metrics (Student Abstract)

Tuhin Kumar Biswas, Avisek Gupta, Narayan Changder, Redha Taguelmimt, Samir Aknine

Sleep-Like Unsupervised Replay Improves Performance When Data Are Limited or Unbalanced (Student Abstract)

Anthony Bazhenov, Pahan Dewasurendra, Giri Krishnan, Jean Erik Delanois

Incorporating Serverless Computing into P2P Networks for ML Training: In-Database Tasks and Their Scalability Implications (Student Abstract)

Amine Barrak

Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract)

Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa

Multipartite Entity Resolution: Motivating a K-Tuple Perspective (Student Abstract)

Adin Aberbach, Mayank Kejriwal, Ke Shen

Visual Abstract Reasoning in Computational Imagery

Yuan Yang

Neuro-Symbolic Integration for Reasoning and Learning on Knowledge Graphs

Luisa Werner

Data Efficient Paradigms for Personalized Assessment of Black-Box Taskable AI Systems

Pulkit Verma

To Know the Causes of Things: Text Mining for Causal Relations

Fiona Anting Tan

Autonomous Policy Explanations for Effective Human-Machine Teaming

Aaquib Tabrez

Does Robin Hood Use a Lightsaber?: Automated Planning for Storytelling

Nisha Simon

The Generalization and Robustness of Transformer-Based Language Models on Commonsense Reasoning

Ke Shen

Learning Neuro-Symbolic Abstractions for Robot Planning and Learning

Naman Shah

AI-Assisted Human Teamwork

Sangwon Seo

Learning from an Infant’s Visual Experience

Deepayan Sanyal

Learning Pattern-Based Extractors from Natural Language and Knowledge Graphs: Applying Large Language Models to Wikipedia and Linked Open Data

Célian Ringwald

Target Focused Shallow Transformer Framework for Efficient Visual Tracking

Md Maklachur Rahman

Navigating Uncertainty in Epidemic Contexts with Reinforcement Learning

Elizabeth Akinyi Ondula

A Hybrid AI Framework for Sensor-Based Personal Health Monitoring towards Precision Health

Mbithe Nzomo

Learning Generalizable and Composable Abstractions for Transfer in Reinforcement Learning

Rashmeet Kaur Nayyar

Thesis Summary: Operationalizing User-Inclusive Transparency in Artificial Intelligence Systems

Deepa Muralidhar

A Privacy Preserving Federated Learning (PPFL) Based Cognitive Digital Twin (CDT) Framework for Smart Cities

Sukanya Mandal

Making AI Policies Transparent to Humans through Demonstrations

Michael S. Lee

The Inter-batch Diversity of Samples in Experience Replay for Continual Learning

Andrii Krutsylo

Risk Management in Image Generative Models through Model Fingerprinting

Changhoon Kim

Temporal Dependencies and Spatio-Temporal Patterns of Time Series Models

Md. Khairul Islam

Towards Trustworthy Autonomous Systems via Conversations and Explanations

Balint Gyevnar

Deep Reinforcement Learning for Communication Networks

Raffaele Galliera

Identifying, Mitigating, and Anticipating Bias in Algorithmic Decisions

Joachim Baumann

The Promise of Serverless Computing within Peer-to-Peer Architectures for Distributed ML Training

Amine Barrak

Domain Engineering to Represent Human Behavior Using Multi-Agent Planning and Inductive Methodologies

Salena Torres Ashton

Semi-factual Explanations in AI

Saugat Aryal

Tiered Coalition Formation Game Stability and Simulation

Nathan Arnold