AAAI

Weakly Supervised Learning for Analyzing Political Campaigns on Facebook

Tunazzina Islam, Shamik Roy, Dan Goldwasser

Comments accepted at 17th International AAAI Conference on Web and Social Media (ICWSM-2023), 12 pages

DropMessage: Unifying Random Dropping for Graph Neural Networks

Taoran Fang, Zhiqing Xiao, Chunping Wang, Jiarong Xu, Xuan Yang, Yang Yang

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

Twitter User Representation Using Weakly Supervised Graph Embedding

Tunazzina Islam, Dan Goldwasser

Comments accepted at 16th International AAAI Conference on Web and Social Media (ICWSM-2022), direct accept from May 2021 submission, 12 pages, minor change for camera-ready

Analysis of Twitter Users' Lifestyle Choices using Joint Embedding Model

Tunazzina Islam, Dan Goldwasser

Comments accepted at 15th International AAAI Conference on Web and Social Media (ICWSM-2021), 12 pages. Minor changes for camera-ready version

Journal ref Proceedings of the International AAAI Conference on Web and Social Media. 15, 1 (May 2021), 242-253

HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image

Zhuchen Shao, Yang Chen, Hao Bian, Jian Zhang, Guojun Liu, Yongbing Zhang

Comments accepted by AAAI 2023

MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust Classifier

Mozhdeh Rouhsedaghat, Masoud Monajatipoor, C. -C. Jay Kuo, Iacopo Masi

Comments Accepted to the Thirty-Seventh Conference on Artificial Intelligence (AAAI) 2023 - 12 pages, 9 figures

Lifelong Learning for Neural powered Mixed Integer Programming

Sahil Manchanda, Sayan Ranu

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence 37(7),9047-9054, 2023

Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs

Georg Kohl, Li-Wei Chen, Nils Thuerey

Comments Published at AAAI 2023, source code available at https://github.com/tum-pbs/VOLSIM and further information at https://ge.in.tum.de/publications/2022-volsim-kohl

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence 37(7) (2023) 8351-8359

Online Hyperparameter Optimization for Class-Incremental Learning

Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun

Comments AAAI 2023 Oral. Code is available at https://class-il.mpi-inf.mpg.de/online/code/

Neighbor Contrastive Learning on Learnable Graph Augmentation

Xiao Shen, Dewang Sun, Shirui Pan, Xi Zhou, Laurence T. Yang

Journal ref Proceedings of AAAI Conference on Artificial Intelligence (AAAI), pp. 9782-9791, 2023

Query-based Hard-Image Retrieval for Object Detection at Test Time

Edward Ayers, Jonathan Sadeghi, John Redford, Romain Mueller, Puneet K. Dokania

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 37(12), 14692-14700 (2023)

TopicFM: Robust and Interpretable Topic-Assisted Feature Matching

Khang Truong Giang, Soohwan Song, Sungho Jo

Comments Accepted at AAAI-23. This version includes both main text and supplementary materials

Toward a Perspectivist Turn in Ground Truthing for Predictive Computing

Valerio Basile, Federico Cabitza, Andrea Campagner, Michael Fell

Comments If you wish to cite this work, consider citing the AAAI 2023 proceedings version (https://doi.org/10.1609/aaai.v37i6.25840) and citing it in this way: Cabitza, F., Campagner, A., & Basile, V. (2023). Toward a Perspectivist Turn in Ground Truthing for Predictive Computing. Proceedings of the AAAI Conference on Artificial Intelligence, 37(6), 6860-6868. https://doi.org/10.1609/aaai.v37i6.25840

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 37(6), 6860-6868 (2023)

Towards Optimal Randomized Strategies in Adversarial Example Game

Jiahao Xie, Chao Zhang, Weijie Liu, Wensong Bai, Hui Qian

Comments Extended version of paper https://doi.org/10.1609/aaai.v37i9.26247 which appeared in AAAI 2023

NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency

Yujin Kim, Dogyun Park, Dohee Kim, Suhyun Kim

Comments Published at AAAI 2022

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 36(1), 2022, 1201-1209

GuidedMixup: An Efficient Mixup Strategy Guided by Saliency Maps

Minsoo Kang, Suhyun Kim

Comments Published at AAAI2023 (Oral)

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 37(1), 2023, 1096-1104

Learning Second-Order Attentive Context for Efficient Correspondence Pruning

Xinyi Ye, Weiyue Zhao, Hao Lu, Zhiguo Cao

Comments 9 pages, 8 figures; Accepted to AAAI 2023 (Oral)

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 37(3), 3250-3258 (2023)

Periodic Multi-Agent Path Planning

Kazumi Kasaura, Ryo Yonetani, Mai Nishimura

Comments 7 pages with 2 pages appendix and 2 pages reference, 8 figures and 2 tables, to be published in the proceedings of AAAI Conference on Artificial Intelligence (AAAI) 2023

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence 37(5) (2023) 6183-6191

SAH: Shifting-aware Asymmetric Hashing for Reverse $k$-Maximum Inner Product Search

Qiang Huang, Yanhao Wang, Anthony K. H. Tung

Comments Accepted by AAAI 2023

CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems

Jiahao Xie, Chao Zhang, Zebang Shen, Weijie Liu, Hui Qian

Comments Extended version of paper https://doi.org/10.1609/aaai.v37i9.26246 which appeared in AAAI 2023

Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach

Sérgio Machado, Anirudh Sridhar, Paulo Gil, Jorge Henriques, José M. F. Moura, Augusto Santos

Comments Accepted at The 37th AAAI Conference on Artificial Intelligence (main track)

PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment

Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding

Comments DAC 2023 accepeted publication, short version was published on AAAI 2023 workshop on DL-Hardware Co-Design for AI Acceleration: RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference

Journal ref DAC 2023

Studying Moral-based Differences in the Framing of Political Tweets

Markus Reiter-Haas, Simone Kopeinik, Elisabeth Lex

Comments Accepted for publication in ICWSM-2021 - link to published version will be added

Journal ref Proceedings of the International AAAI Conference on Web and Social Media Vol. 15 (2021) 1085-1089

MARLIN: Soft Actor-Critic based Reinforcement Learning for Congestion Control in Real Networks

Raffaele Galliera, Alessandro Morelli, Roberto Fronteddu, Niranjan Suri

Comments 10 pages, 5 figures, AAAI 2023 workshop "Reinforcement Learning Ready for Production", accepted at NOMS 2023 - IEEE/IFIP Network Operations and Management Symposium

Predictive Multiplicity in Probabilistic Classification

Jamelle Watson-Daniels, David C. Parkes, Berk Ustun

Comments Published by AAAI Press, Palo Alto, California USA 2023, Association for the Advancement of Artificial Intelligence

Margin of Victory in Tournaments: Structural and Experimental Results

Markus Brill, Ulrike Schmidt-Kraepelin, Warut Suksompong

Comments Appears in the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021

Journal ref Artificial Intelligence, 302:103600 (2022)

Anticipatory Thinking Challenges in Open Worlds: Risk Management

Adam Amos-Binks, Dustin Dannenhauer, Leilani H. Gilpin

Comments 4 pages, 3 figures, appeared in the non-archival AAAI 2022 Spring Syposium on "Designing Artificial Intelligence for Open Worlds"

A Dataset of Coordinated Cryptocurrency-Related Social Media Campaigns

Karolis Zilius, Tasos Spiliotopoulos, Aad van Moorsel

Comments Camera-ready version for the ICWSM 2023 Conference. This paper describes the dataset available at https://zenodo.org/record/7813450

Journal ref Proceedings of the International AAAI Conference on Web and Social Media (ICWSM 2023), 17(1), 1112-1121

Improving Long-Horizon Imitation Through Instruction Prediction

Joey Hejna, Pieter Abbeel, Lerrel Pinto

Comments Published at AAAI 2023

Background-Mixed Augmentation for Weakly Supervised Change Detection

Rui Huang, Ruofei Wang, Qing Guo, Jieda Wei, Yuxiang Zhang, Wei Fan, Yang Liu

Comments AAAI 2023 Accepted