AAAI

GLUECons: A Generic Benchmark for Learning Under Constraints

Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee, Yue Zhang, Andrzej Uszok, Alexander Wan, Tanawan Premsri, Dan Roth, Parisa Kordjamshidi

Comments 8 pages, Accepted in AAAI 2023 proceedings

Incentive-boosted Federated Crowdsourcing

Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, Jinglin Zhang

Comments Accepted by the Thirty-Seventh AAAI Conference on Artificial Intelligence(AAAI2023), the new version of the paper that includes all technical appendices and real experiments

Device Tuning for Multi-Task Large Model

Penghao Jiang, Xuanchen Hou, Yinsi Zhou

Comments AAAI Conference on Artificial Intelligence Deployable AI (DAI) 2023

LiT Tuned Models for Efficient Species Detection

Andre Nakkab, Benjamin Feuer, Chinmay Hegde

Comments 5 pages, 5 figures, 1 table, presented at AAAI 2023 conference for the AIAFS workshop

Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network

Xiaojian Yuan, Kejiang Chen, Jie Zhang, Weiming Zhang, Nenghai Yu, Yang Zhang

Comments Accepted by AAAI 2023

CMVAE: Causal Meta VAE for Unsupervised Meta-Learning

Guodong Qi, Huimin Yu

Comments Accepted by AAAI 2023

Rethinking Data-Free Quantization as a Zero-Sum Game

Biao Qian, Yang Wang, Richang Hong, Meng Wang

Comments 9 pages, 7 figures, accepted by AAAI 2023

Delving into the Adversarial Robustness of Federated Learning

Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu

Comments Accepted by AAAI 2023

M-SENSE: Modeling Narrative Structure in Short Personal Narratives Using Protagonist's Mental Representations

Prashanth Vijayaraghavan, Deb Roy

Comments Accepted at AAAI-23

Conveying the Predicted Future to Users: A Case Study of Story Plot Prediction

Chieh-Yang Huang, Saniya Naphade, Kavya Laalasa Karanam, Ting-Hao 'Kenneth' Huang

Comments To appear in the AAAI 2023 Workshop- Creative AI Across Modalities

Persistent Homology to Study Cold Hardiness of Grape Cultivars

Sejal Welankar, Paola Pesantez-Cabrera, Bala Krishnamoorthy, Lynn Mills, Markus Keller, Ananth Kalyanaraman

Comments 5 pages, 12 figures, AAAI 2023 Workshop AIAFS

On Generalized Degree Fairness in Graph Neural Networks

Zemin Liu, Trung-Kien Nguyen, Yuan Fang

Comments This paper has been accepted by AAAI 2023

Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks

Yihan Wu, Aleksandar Bojchevski, Heng Huang

Comments AAAI 2023 (oral)

CSTAR: Towards Compact and STructured Deep Neural Networks with Adversarial Robustness

Huy Phan, Miao Yin, Yang Sui, Bo Yuan, Saman Zonouz

Comments AAAI-23

Clustering What Matters: Optimal Approximation for Clustering with Outliers

Akanksha Agrawal, Tanmay Inamdar, Saket Saurabh, Jie Xue

Comments An extended abstract of the paper is to appear in AAAI 2023

Joint Multimodal Entity-Relation Extraction Based on Edge-enhanced Graph Alignment Network and Word-pair Relation Tagging

Li Yuan, Yi Cai, Jin Wang, Qing Li

Comments accepted in AAAI-2023

Scalable Spatiotemporal Graph Neural Networks

Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi

Comments Published as conference paper at AAAI 23

Neuro-symbolic Meta Reinforcement Learning for Trading

S I Harini, Gautam Shroff, Ashwin Srinivasan, Prayushi Faldu, Lovekesh Vig

Comments To appear in Muffin@AAAI'23

3D Human Pose Lifting with Grid Convolution

Yangyuxuan Kang, Yuyang Liu, Anbang Yao, Shandong Wang, Enhua Wu

Comments Oral paper at AAAI 2023. Project website: https://github.com/OSVAI/GridConv

Exploiting Unlabeled Data for Feedback Efficient Human Preference based Reinforcement Learning

Mudit Verma, Siddhant Bhambri, Subbarao Kambhampati

Comments R2HCAI, AAAI 2023

A State Augmentation based approach to Reinforcement Learning from Human Preferences

Mudit Verma, Subbarao Kambhampati

Comments R2HCAI, AAAI 2023

Data Driven Reward Initialization for Preference based Reinforcement Learning

Mudit Verma, Subbarao Kambhampati

Comments R2HCAI, AAAI 2023

Multimodal Propaganda Processing

Vincent Ng, Shengjie Li

Comments Accepted in AAAI 2023

Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression

Zhiyu Pan, Yinpeng Chen, Jiale Zhang, Hao Lu, Zhiguo Cao, Weicai Zhong

Comments Accepted to AAAI 2023 (Oral); 9 pages, 6 figures

Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling

Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou

Comments 11 pages, 3 figures

Journal ref AAAI 2023

SwiftAvatar: Efficient Auto-Creation of Parameterized Stylized Character on Arbitrary Avatar Engines

Shizun Wang, Weihong Zeng, Xu Wang, Hao Yang, Li Chen, Yi Yuan, Yunzhao Zeng, Min Zheng, Chuang Zhang, Ming Wu

Comments AAAI 2023 Oral

MultiAct: Long-Term 3D Human Motion Generation from Multiple Action Labels

Taeryung Lee, Gyeongsik Moon, Kyoung Mu Lee

Comments AAAI 2023 (Oral presentation)

Commonsense Reasoning for Conversational AI: A Survey of the State of the Art

Christopher Richardson, Larry Heck

Comments Accepted to Workshop on Knowledge Augmented Methods for Natural Language Processing, in conjunction with AAAI 2023

Neighborhood-Regularized Self-Training for Learning with Few Labels

Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce Ho, Chao Zhang, Carl Yang

Comments Accepted to AAAI 2023

VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning

Kashu Yamazaki, Khoa Vo, Sang Truong, Bhiksha Raj, Ngan Le

Comments Accepted to AAAI 2023 Oral