AAAI

DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning

Zhuo Chen, Yufeng Huang, Jiaoyan Chen, Yuxia Geng, Wen Zhang, Yin Fang, Jeff Z. Pan, Huajun Chen

Comments AAAI 2023 (Oral). Repository: https://github.com/zjukg/DUET

Team Triple-Check at Factify 2: Parameter-Efficient Large Foundation Models with Feature Representations for Multi-Modal Fact Verification

Wei-Wei Du, Hong-Wei Wu, Wei-Yao Wang, Wen-Chih Peng

Comments AAAI-23 DeFactify 2 Workshop (1st Prize)

Audio-Visual Contrastive Learning with Temporal Self-Supervision

Simon Jenni, Alexander Black, John Collomosse

Comments AAAI-23

Self-Supervised Learning for Modeling Gamma-ray Variability in Blazars

Aryeh Brill

Comments 2nd Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE), https://ai-2-ase.github.io/. Updated reference and typo correction in this version (H=32, not 64)

Envisioning the Next-Gen Document Reader

Catherine Yeh, Nedim Lipka, Franck Dernoncourt

Comments Paper accepted at the AAAI 2023 Workshop on Scientific Document Understanding

Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles

Songyang Han, Shanglin Zhou, Lynn Pepin, Jiangwei Wang, Caiwen Ding, Fei Miao

Comments This paper gets the Best Paper Award in the DCAA workshop of AAAI 2023

A Holistic Approach to Undesired Content Detection in the Real World

Todor Markov, Chong Zhang, Sandhini Agarwal, Tyna Eloundou, Teddy Lee, Steven Adler, Angela Jiang, Lilian Weng

Comments Oral presentation at AAAI-23

A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified?

Kathleen C. Fraser, Svetlana Kiritchenko, Isar Nejadgholi

Comments Appearing in the AAAI 2023 Workshop on Creative AI Across Modalities

Using Artificial Intelligence to aid Scientific Discovery of Climate Tipping Points

Jennifer Sleeman, David Chung, Chace Ashcraft, Jay Brett, Anand Gnanadesikan, Yannis Kevrekidis, Marisa Hughes, Thomas Haine, Marie-Aude Pradal, Renske Gelderloos, Caroline Tang, Anshu Saksena, Larry White

Comments This is the preprint of work presented at the 2022 AAAI Fall Symposium Series, Third Symposium on Knowledge-Guided ML, November 2022

Provable Detection of Propagating Sampling Bias in Prediction Models

Pavan Ravishankar, Qingyu Mo, Edward McFowland, Daniel B. Neill

Comments AAAI 2023 (13 pages, 7 figures)

NYCU-TWO at Memotion 3: Good Foundation, Good Teacher, then you have Good Meme Analysis

Yu-Chien Tang, Kuang-Da Wang, Ting-Yun Ou, Wen-Chih Peng

Comments De-Factify 2: Second Workshop on Multimodal Fact Checking and Hate Speech Detection, co-located with AAAI 2023

Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning

Jong-whi Lee, Jinhong Jung

Comments Accepted to AAAI 2023

Event Detection on Dynamic Graphs

Mert Kosan, Arlei Silva, Sourav Medya, Brian Uzzi, Ambuj Singh

Comments Longer version of "Graph Macro Dynamics with Self-Attention for Event Detection" accepted to DLG-AAAI 2023

Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning

Yunke Wang, Bo Du, Chang Xu

Comments AAAI 2023

CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets

Jiange Yang, Sheng Guo, Gangshan Wu, Limin Wang

Comments 10 pages(including references),5 figures, Accept by Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023)

RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget

Sourajit Saha, Shaswati Saha, Md Osman Gani, Tim Oates, David Chapman

Comments In Proceedings of AAAI Conference on Artificial Intelligence 2023

Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning

Jiayu Liu, Zhenya Huang, Chengxiang Zhai, Qi Liu

Comments Accepted by AAAI 2023

Dive into the Resolution Augmentations and Metrics in Low Resolution Face Recognition: A Plain yet Effective New Baseline

Xu Ling, Yichen Lu, Wenqi Xu, Weihong Deng, Yingjie Zhang, Xingchen Cui, Hongzhi Shi, Dongchao Wen

Comments AAAI 2023 R2HCAI Workshop

IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiation

Juze Zhang, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang

Comments Accepted by AAAI 2023

When Congestion Games Meet Mobile Crowdsourcing: Selective Information Disclosure

Hongbo Li, Lingjie Duan

Comments Online technical report for our forthcoming AAAI 2023 paper

Evaluation of Fake News Detection with Knowledge-Enhanced Language Models

Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha, Nikos Komninos

Comments Proceedings of AAAI-ICWSM 2022

Journal ref Proceedings of the International AAAI Conference on Web and Social Media 16 (2022) 1425-1429

Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes

Marc Rigter, Bruno Lacerda, Nick Hawes

Comments Full version of AAAI 2021 paper, with corrigendum attached that describes error in original paper

RAFaRe: Learning Robust and Accurate Non-parametric 3D Face Reconstruction from Pseudo 2D&3D Pairs

Longwei Guo, Hao Zhu, Yuanxun Lu, Menghua Wu, Xun Cao

Comments Accepted to AAAI 2023 (Oral)

Robust Causal Graph Representation Learning against Confounding Effects

Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, Fuchun Sun

Comments Accepted by AAAI 2023 as Oral Presentation

Action Dynamics Task Graphs for Learning Plannable Representations of Procedural Tasks

Weichao Mao, Ruta Desai, Michael Louis Iuzzolino, Nitin Kamra

Comments AAAI 2023 Workshop on User-Centric Artificial Intelligence for Assistance in At-Home Tasks

DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks

Lei Zhang, Xiaodong Yan, Jianshan He, Ruopeng Li, Wei Chu

Comments 8 pages, Accept by Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023)

Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task Learning Method for Recommender System

Jie Zhou, Qian Yu, Chuan Luo, Jing Zhang

Comments This paper has been accepted by AAAI-23

Rethinking Safe Control in the Presence of Self-Seeking Humans

Zixuan Zhang, Maitham AL-Sunni, Haoming Jing, Hirokazu Shirado, Yorie Nakahira

Comments Accepted to the 37th AAAI Conference on Artificial Intelligence

Heterogeneous Graph Masked Autoencoders

Yijun Tian, Kaiwen Dong, Chunhui Zhang, Chuxu Zhang, Nitesh V. Chawla

Comments Accepted by AAAI 2023 (Oral)

Transformer-based Language Model Fine-tuning Methods for COVID-19 Fake News Detection

Ben Chen, Bin Chen, Dehong Gao, Qijin Chen, Chengfu Huo, Xiaonan Meng, Weijun Ren, Yang Zhou

Comments AAAI 2021 Workshop Best Paper. 9 pages, 1 figures