AAAI

Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments

Abdus Salam Azad, Edward Kim, Qiancheng Wu, Kimin Lee, Ion Stoica, Pieter Abbeel, Sanjit A. Seshia

Comments First two authors contributed equally. The final version of this paper is accepted at Proceedings of the AAAI Conference on Artificial Intelligence, 36(6), 6028-6036. https://doi.org/10.1609/aaai.v36i6.20549

BEST: BERT Pre-Training for Sign Language Recognition with Coupling Tokenization

Weichao Zhao, Hezhen Hu, Wengang Zhou, Jiaxin Shi, Houqiang Li

Comments Accepted by AAAI 2023 (Oral)

Domain-General Crowd Counting in Unseen Scenarios

Zhipeng Du, Jiankang Deng, Miaojing Shi

Comments Accepted to AAAI 2023 as Oral Presentation

Task Phasing: Automated Curriculum Learning from Demonstrations

Vaibhav Bajaj, Guni Sharon, Peter Stone

Comments 7 pages main paper, 7 figures, 4 pages appendix. Submitted to AAAI 2023 Conference

Collective Intelligence in Human-AI Teams: A Bayesian Theory of Mind Approach

Samuel Westby, Christoph Riedl

Comments 9 pages, Accepted at AAAI 2023

MRCN: A Novel Modality Restitution and Compensation Network for Visible-Infrared Person Re-identification

Yukang Zhang, Yan Yan, Jie Li, Hanzi Wang

Comments Accepted by AAAI-2023

GANTEE: Generative Adversatial Network for Taxonomy Entering Evaluation

Zhouhong Gu, Sihang Jiang, Jingping Liu, Yanghua Xiao, Hongwei Feng, Zhixu Li, Jiaqing Liang, Jian Zhong

Comments Accepted by AAAI 2023

Min-max Submodular Ranking for Multiple Agents

Qingyun Chen, Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang

Comments To appear in AAAI 2023

Revisiting Classifier: Transferring Vision-Language Models for Video Recognition

Wenhao Wu, Zhun Sun, Wanli Ouyang

Comments Accepted by AAAI-2023. Camera Ready Version

Real-World Deep Local Motion Deblurring

Haoying Li, Ziran Zhang, Tingting Jiang, Peng Luo, Huajun Feng, Zhihai Xu

Comments Accept by AAAI-2023 (Oral)

Topological Pooling on Graphs

Yuzhou Chen, Yulia R. Gel

Comments AAAI 2023

Deep Active Learning with Contrastive Learning Under Realistic Data Pool Assumptions

Jihyo Kim, Jeonghyeon Kim, Sangheum Hwang

Comments AAAI 2023 Workshop on Practical Deep Learning in the Wild

ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories

Zijian Zhang, Zhou Zhao, Jun Yu, Qi Tian

Comments Accepted by AAAI 2023 Conference

Visually Grounded Commonsense Knowledge Acquisition

Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Hai-Tao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun

Comments Accepted by AAAI 2023

An Improved Algorithm For Online Min-Sum Set Cover

Marcin Bienkowski, Marcin Mucha

Comments Presented at AAAI 2023

HRDoc: Dataset and Baseline Method Toward Hierarchical Reconstruction of Document Structures

Jiefeng Ma, Jun Du, Pengfei Hu, Zhenrong Zhang, Jianshu Zhang, Huihui Zhu, Cong Liu

Comments 8 pages, 6 figures. Accepted by AAAI-2023

Building artificial neural circuits for domain-general cognition: a primer on brain-inspired systems-level architecture

Jascha Achterberg, Danyal Akarca, Moataz Assem, Moritz Heimbach, Duncan E. Astle, John Duncan

Comments This manuscript is part of the AAAI 2023 Spring Symposium on the Evaluation and Design of Generalist Systems (EDGeS)

Optical Character Recognition and Transcription of Berber Signs from Images in a Low-Resource Language Amazigh

Levi Corallo, Aparna S. Varde

Journal ref AAAI-2023 the 37th AAAI Conference on Artificial Intelligence (AI4EDU workshop)

Hey Dona! Can you help me with student course registration?

Vishesh Kalvakurthi, Aparna S. Varde, John Jenq

Journal ref AAAI 2023 the 37th AAAI Conference on Artificial Intelligence (AI4EDU workshop)

Machine Learning Approaches in Agile Manufacturing with Recycled Materials for Sustainability

Aparna S. Varde, Jianyu Liang

Journal ref AAAI-2023 the 37th AAAI Conference on Artificial Intelligence (AIMAT Bridge)

Misspecification in Inverse Reinforcement Learning

Joar Skalse, Alessandro Abate

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 2023

DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification

Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu

Comments Accepted to AAAI-2023, code is available at https://github.com/justsmart/DICNet

Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval

Xu Wang, Dezhong Peng, Ming Yan, Peng Hu

Comments AAAI 2023

Learning Fractals by Gradient Descent

Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao

Comments Accepted by AAAI 2023

Toward Polar Sea-Ice Classification using Color-based Segmentation and Auto-labeling of Sentinel-2 Imagery to Train an Efficient Deep Learning Model

Jurdana Masuma Iqrah, Younghyun Koo, Wei Wang, Hongjie Xie, Sushil Prasad

Comments 2nd Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE), February 2023

LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception

Dongqiangzi Ye, Zixiang Zhou, Weijia Chen, Yufei Xie, Yu Wang, Panqu Wang, Hassan Foroosh

Comments Accepted to AAAI 2023 (Oral). Full-length paper extending our previous technical report of the 1st place solution of the 2022 Waymo Open Dataset 3D Semantic Segmentation challenge, including evaluations on 5 major benchmarks. arXiv admin note: text overlap with arXiv:2206.11428

Time Series Contrastive Learning with Information-Aware Augmentations

Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang

Comments Published in AAAI 2023

GAM : Gradient Attention Module of Optimization for Point Clouds Analysis

Haotian Hu, Fanyi Wang, Jingwen Su, Hongtao Zhou, Yaonong Wang, Laifeng Hu, Yanhao Zhang, Zhiwang Zhang

Comments In AAAI, 2023

CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning

Yang Zhao, Jianwen Xie, Ping Li

Comments 9 pages of main text, 2 pages of references

Journal ref AAAI 2023

Learning Context-aware Classifier for Semantic Segmentation

Zhuotao Tian, Jiequan Cui, Li Jiang, Xiaojuan Qi, Xin Lai, Yixin Chen, Shu Liu, Jiaya Jia

Comments AAAI 2023. Code and models are available at https://github.com/tianzhuotao/CAC