AAAI

Continual Graph Convolutional Network for Text Classification

Tiandeng Wu, Qijiong Liu, Yi Cao, Yao Huang, Xiao-Ming Wu, Jiandong Ding

Comments 9 pages, 4 figures, AAAI 2023 accepted paper

RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL

Haoyang Li, Jing Zhang, Cuiping Li, Hong Chen

Comments Accepted to AAAI 2023 main conference (oral)

Continual Causal Effect Estimation: Challenges and Opportunities

Zhixuan Chu, Sheng Li

Comments The 37th AAAI conference on artificial intelligence Continual Causality Bridge Program

Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs

Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu

Comments Accepted in the 37th AAAI Conference on Artificial Intelligence (AAAI 2023)

STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction

Shuo Liang, Wei Wei, Xian-Ling Mao, Yuanyuan Fu, Rui Fang, Dangyang Chen

Comments Accepted by AAAI 2023

Optimal Sparse Regression Trees

Rui Zhang, Rui Xin, Margo Seltzer, Cynthia Rudin

Comments AAAI 2023, final archival version

Combating Mode Collapse in GANs via Manifold Entropy Estimation

Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng

Comments Accepted by AAAI'2023 (Oral); Code is released at https://github.com/HaozheLiu-ST/MEE

Measuring Difficulty of Novelty Reaction

Ekaterina Nikonova, Cheng Xue, Vimukthini Pinto, Chathura Gamage, Peng Zhang, Jochen Renz

Journal ref AAAI 2022, Designing Artificial Intelligence for Open Worlds

Unique in what sense? Heterogeneous relationships between multiple types of uniqueness and popularity in music

Yulin Yu, Pui Yin Cheung, Yong-Yeol Ahn, Paramveer Dhillon

Comments Accepted at the International AAAI Conference on Web and Social Media (ICWSM, 2023). Special Recognition Award at 7th International Conference on Computational Social Science (IC2S2, 2021)

RSPT: Reconstruct Surroundings and Predict Trajectories for Generalizable Active Object Tracking

Fangwei Zhong, Xiao Bi, Yudi Zhang, Wei Zhang, Yizhou Wang

Comments AAAI 2023 (Oral)

Identifying and Characterizing Behavioral Classes of Radicalization within the QAnon Conspiracy on Twitter

Emily L. Wang, Luca Luceri, Francesco Pierri, Emilio Ferrara

Comments 12 pages, 11 figures, 2 tables

Journal ref The 17th International AAAI Conference on Web and Social Media (ICWSM 2023)

Retweet-BERT: Political Leaning Detection Using Language Features and Information Diffusion on Social Networks

Julie Jiang, Xiang Ren, Emilio Ferrara

Comments 11 pages, 3 figures, 4 tables. arXiv admin note: text overlap with arXiv:2103.10979

Journal ref The 17th International AAAI Conference on Web and Social Media (ICWSM 2023)

Can Adversarial Networks Make Uninformative Colonoscopy Video Frames Clinically Informative?

Vanshali Sharma, M. K. Bhuyan, Pradip K. Das

Comments Student Abstract, Accepted at AAAI 2023

Neural Bandits for Data Mining: Searching for Dangerous Polypharmacy

Alexandre Larouche, Audrey Durand, Richard Khoury, Caroline Sirois

Comments This article is presented at the W3PHIAI-23 workshop at AAAI-2023

Emotion Regulation and Dynamics of Moral Concerns During the Early COVID-19 Pandemic

Siyi Guo, Keith Burghardt, Ashwin Rao, Kristina Lerman

Journal ref Workshop Proceedings of the 16th International AAAI Conference on Web and Social Media, International Workshop on Social Sensing (2022)

Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA

Yongxin Zhu, Zhen Liu, Yukang Liang, Xin Li, Hao Liu, Changcun Bao, Linli Xu

Comments accepted in AAAI 2023

Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost

Lu Yin, Shiwei Liu, Meng Fang, Tianjin Huang, Vlado Menkovski, Mykola Pechenizkiy

Comments Published in AAAI 2023. Code can be found at https://github.com/luuyin/Lottery-pools

Learning Optimal Features via Partial Invariance

Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney

Comments Presented at the 37th AAAI Conference on Artificial Intelligence, 2023

Adaptive Dynamic Filtering Network for Image Denoising

Hao Shen, Zhong-Qiu Zhao, Wandi Zhang

Comments 9 pages, Accepted in AAAI Conference on Artificial Intelligence (AAAI) 2023

Quantifying the Impact of Label Noise on Federated Learning

Shuqi Ke, Chao Huang, Xin Liu

Comments Accepted by The AAAI 2023 Workshop on Representation Learning for Responsible Human-Centric AI

Fair-CDA: Continuous and Directional Augmentation for Group Fairness

Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li

Comments Accepted by AAAI-23

Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games

Chun Kai Ling, J. Zico Kolter, Fei Fang

Comments To appear in AAAI 2023

Grounding Object Relations in Language-Conditioned Robotic Manipulation with Semantic-Spatial Reasoning

Qian Luo, Yunfei Li, Yi Wu

Comments AAAI 2023 RL Ready for Production Workshop

Rethinking interpretation: Input-agnostic saliency mapping of deep visual classifiers

Naveed Akhtar, Mohammad A. A. K. Jalwana

Comments Accepted for publication in AAAI 2023

Detecting and Grounding Important Characters in Visual Stories

Danyang Liu, Frank Keller

Comments AAAI 2023

MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis

Weiqin Zhao, Shujun Wang, Maximus Yeung, Tianye Niu, Lequan Yu

Comments AAAI 2023

Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization

Mirco Mutti, Riccardo De Santi, Emanuele Rossi, Juan Felipe Calderon, Michael Bronstein, Marcello Restelli

Comments AAAI 2023

MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series

Qianwen Meng, Hangwei Qian, Yong Liu, Lizhen Cui, Yonghui Xu, Zhiqi Shen

Comments accepted by AAAI 2023

Towards Good Practices for Missing Modality Robust Action Recognition

Sangmin Woo, Sumin Lee, Yeonju Park, Muhammad Adi Nugroho, Changick Kim

Comments AAAI 2023 (Oral); Code: https://github.com/sangminwoo/ActionMAE

Boosting Few-Shot Text Classification via Distribution Estimation

Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang

Comments Accepted to AAAI 2023