AAAI

Heterogeneous Graph Learning for Multi-modal Medical Data Analysis

Sein Kim, Namkyeong Lee, Junseok Lee, Dongmin Hyun, Chanyoung Park

Comments AAAI 2023

Generalized Category Discovery with Decoupled Prototypical Network

Wenbin An, Feng Tian, Qinghua Zheng, Wei Ding, QianYing Wang, Ping Chen

Comments Accepted by AAAI 2023

Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers

Yasutoshi Ida, Sekitoshi Kanai, Kazuki Adachi, Atsutoshi Kumagai, Yasuhiro Fujiwara

Comments This is an extended version of the paper accepted by the 37th AAAI Conference on Artificial Intelligence (AAAI 2023)

Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting

Wei Fan, Pengyang Wang, Dongkun Wang, Dongjie Wang, Yuanchun Zhou, Yanjie Fu

Comments Accepted by AAAI 2023

Region Normalization for Image Inpainting

Tao Yu, Zongyu Guo, Xin Jin, Shilin Wu, Zhibo Chen, Weiping Li, Zhizheng Zhang, Sen Liu

Comments Accepted to AAAI-2020. Code URL:https://github.com/geekyutao/RN

Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers

Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu

Comments Accepted to AAAI-23

Bayesian Optimization-based Combinatorial Assignment

Jakob Weissteiner, Jakob Heiss, Julien Siems, Sven Seuken

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence Vol 37 (2023)

Challenges facing the explainability of age prediction models: case study for two modalities

Mikolaj Spytek, Weronika Hryniewska-Guzik, Jaroslaw Zygierewicz, Jacek Rogala, Przemyslaw Biecek

Comments Presented at the Aging Hackathon at the 7th International workshop on Health Intelligence (W3PHIAI-23) at AAAI-23 Conference, http://w3phiai2023.w3phi.com/

Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization

Miao Li, Jianzhong Qi, Jey Han Lau

Comments AAAI 2023

Semantics-Aware Dynamic Localization and Refinement for Referring Image Segmentation

Zhao Yang, Jiaqi Wang, Yansong Tang, Kai Chen, Hengshuang Zhao, Philip H. S. Torr

Comments AAAI 2023. 11 pages. 7 figures

Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling

Jinhai Yang, Mengxi Guo, Shijie Zhao, Junlin Li, Li Zhang

Comments Accepted by AAAI 2023. Code is available at https://github.com/yang-jin-hai/SAIN

Memory-aided Contrastive Consensus Learning for Co-salient Object Detection

Peng Zheng, Jie Qin, Shuo Wang, Tian-Zhu Xiang, Huan Xiong

Comments AAAI 2023

Learning Topology-Specific Experts for Molecular Property Prediction

Su Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu

Comments 11 pages with 8 figures

Journal ref The 37th AAAI conference on artificial intelligence (AAAI 2023)

Information Retention in the Multi-platform Sharing of Science

Sohyeon Hwang, Emőke-Ágnes Horvát, Daniel M. Romero

Comments 12 pages, 8 figures, accepted at the International AAAI Conference on Web and Social Media (ICWSM, 2023)

ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies

Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui

Comments Accepted by AAAI 2023

Deep Learning-powered Iterative Combinatorial Auctions

Jakob Weissteiner, Sven Seuken

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence Vol 34 (2020) 2284-2293

Distributionally Robust Optimization with Probabilistic Group

Soumya Suvra Ghosal, Yixuan Li

Comments Published at AAAI 2023

Explaining Model Confidence Using Counterfactuals

Thao Le, Tim Miller, Ronal Singh, Liz Sonenberg

Comments AAAI 2023 Main Track. arXiv admin note: substantial text overlap with arXiv:2206.02790

Position Paper on Dataset Engineering to Accelerate Science

Emilio Vital Brazil, Eduardo Soares, Lucas Villa Real, Leonardo Azevedo, Vinicius Segura, Luiz Zerkowski, Renato Cerqueira

Comments Published at 2nd Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE) https://ai-2-ase.github.io/papers/16%5cSubmission%5cAAAI_Dataset_Engineering-8.pdf

ParaFormer: Parallel Attention Transformer for Efficient Feature Matching

Xiaoyong Lu, Yaping Yan, Bin Kang, Songlin Du

Comments Have been accepted by AAAI 2023

Online Platforms and the Fair Exposure Problem Under Homophily

Jakob Schoeffer, Alexander Ritchie, Keziah Naggita, Faidra Monachou, Jessie Finocchiaro, Marc Juarez

Comments 37th AAAI Conference on Artificial Intelligence (AAAI-23)

Learning Rational Subgoals from Demonstrations and Instructions

Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling

Comments AAAI 2023. First two authors contributed equally. Project page: https://rsg.csail.mit.edu

M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities

Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng

Journal ref AAAI 2023

Knowledge-augmented Risk Assessment (KaRA): a hybrid-intelligence framework for supporting knowledge-intensive risk assessment of prospect candidates

Carlos Raoni Mendes, Emilio Vital Brazil, Vinicius Segura, Renato Cerqueira

Comments Published at 2nd Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE) https://ai-2-ase.github.io/papers/17%5cSubmission%5cKaRA_AI2ASE_Workshop-3.pdf. arXiv admin note: text overlap with arXiv:2211.04257

Can a Frozen Pretrained Language Model be used for Zero-shot Neural Retrieval on Entity-centric Questions?

Yasuto Hoshi, Daisuke Miyashita, Yasuhiro Morioka, Youyang Ng, Osamu Torii, Jun Deguchi

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

Conceptual Reinforcement Learning for Language-Conditioned Tasks

Shaohui Peng, Xing Hu, Rui Zhang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen

Comments Accepted by AAAI 2023

Properties of Position Matrices and Their Elections

Niclas Boehmer, Jin-Yi Cai, Piotr Faliszewski, Austen Z. Fan, Łukasz Janeczko, Andrzej Kaczmarczyk, Tomasz Wąs

Comments Accepted to AAAI 2023

The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types

Gaurav R. Ghosal, Matthew Zurek, Daniel S. Brown, Anca D. Dragan

Comments Published at AAAI 2023; 10 pages, 5 figures plus appendices

Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation

Shengsen Wu, Liang Chen, Yihang Lou, Yan Bai, Tao Bai, Minghua Deng, Lingyu Duan

Comments Accepted by AAAI 2022

Towards Trust of Explainable AI in Thyroid Nodule Diagnosis

Truong Thanh Hung Nguyen, Van Binh Truong, Vo Thanh Khang Nguyen, Quoc Hung Cao, Quoc Khanh Nguyen

Comments Accepted by AAAI 2023 The 7th International Workshop on Health Intelligence (W3PHIAI-23)