AAAI

Fast Offline Policy Optimization for Large Scale Recommendation

Otmane Sakhi, David Rohde, Alexandre Gilotte

Comments Accepted at AAAI 2023

Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning

Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu

Comments AAAI 2023

Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning

Guoxi Zhang, Hisashi Kashima

Comments Accepted by AAAI 2023. Fixed errors in Fig. 4, Table 1, and Eq (6) in the camera-ready version

RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments

Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Andreas Hartmannsgruber, Diego Navarro Navarro

Comments Accepted by AAAI 2023

AAAI 2022 Fall Symposium: System-1 and System-2 realized within the Common Model of Cognition

Brendan Conway-Smith, Robert L. West

Comments Full Publication In Proceedings of AAAI 2022 Fall Symposium: Thinking Fast & Slow and Other Cognitive Theories in AI. Link: https://ceur-ws.org/Vol-3332/

Journal ref In Proceedings of AAAI Fall Symposium: Thinking Fast & Slow and Other Cognitive Theories in AI. Vol.3332 (2022)

Local Intrinsic Dimensional Entropy

Rohan Ghosh, Mehul Motani

Comments Proceedings of the AAAI Conference on Artificial Intelligence 2023

Different Affordances on Facebook and SMS Text Messaging Do Not Impede Generalization of Language-Based Predictive Models

Tingting Liu, Salvatore Giorgi, Xiangyu Tao, Sharath Chandra Guntuku, Douglas Bellew, Brenda Curtis, Lyle Ungar

Comments Accepted to the 17th International AAAI Conference on Web and Social Media (ICWSM), 2023

Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation

Han Huang, Leilei Sun, Bowen Du, Weifeng Lv

Comments Accepted by AAAI 2023

EMEF: Ensemble Multi-Exposure Image Fusion

Renshuai Liu, Chengyang Li, Haitao Cao, Yinglin Zheng, Ming Zeng, Xuan Cheng

Comments Preprint, Accepted by AAAI 2023

Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse

Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian

Comments Accepted by Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI-23)

Comfort Foods and Community Connectedness: Investigating Diet Change during COVID-19 Using YouTube Videos on Twitter

Yelena Mejova, Lydia Manikonda

Comments To be published in The International AAAI Conference on Web and Social Media (ICWSM) 2023

Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding

Hongliang He, Junlei Zhang, Zhenzhong Lan, Yue Zhang

Comments Accepted to AAAI 2023. The code is available at https://github.com/dll-wu/IS-CSE

Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks

Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng

Comments Accepted by AAAI 2023.Contains appendix with additional details about algorithms and experiments. Code available at https://github.com/EdisonLeeeee/SpikeNet

Toxicity Inspector: A Framework to Evaluate Ground Truth in Toxicity Detection Through Feedback

Huriyyah Althunayan, Rahaf Bahlas, Manar Alharbi, Lena Alsuwailem, Abeer Aldayel, Rehab ALahmadi

Comments To appear in Workshop on 2nd Workshop on Novel Evaluation Approaches for Text Classification Systems (NEATCLasS-2023).ICWSM, AAAI, 2023

ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification

Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu

Comments Accepted at AAAI 2022

Fairness in Forecasting of Observations of Linear Dynamical Systems

Quan Zhou, Jakub Marecek, Robert N. Shorten

Comments Journal version of Zhou et al. [arXiv:2006.07315, AAAI 2021]

Journal ref Journal of Artificial Intelligence Research, Volume 76, 2023

"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion

Zexue He, An Yan, Amilcare Gentili, Julian McAuley, Chun-Nan Hsu

Comments Accepted to AAAI 2023. 13 pages including 4-page supplementary materials

Logic and Commonsense-Guided Temporal Knowledge Graph Completion

Guanglin Niu, Bo Li

Comments The full version of a long paper accepted to AAAI 2023

Self-Supervised Video Representation Learning via Latent Time Navigation

Di Yang, Yaohui Wang, Quan Kong, Antitza Dantcheva, Lorenzo Garattoni, Gianpiero Francesca, Francois Bremond

Comments AAAI 2023

Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers

Lei Yuan, Zi-Qian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Li-He Li, Chao Qian, Yang Yu

Comments In: Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI'23), 2023

NewsQuote: A Dataset Built on Quote Extraction and Attribution for Expert Recommendation in Fact-Checking

Wenjia Zhang, Lin Gui, Rob Procter, Yulan He

Comments 11 pages, 5 figures. 17TH International AAAI Conference on Web and Social Media; Mediate 2023: News Media and Computational Journalism Workshop

Bias or Diversity? Unraveling Fine-Grained Thematic Discrepancy in U.S. News Headlines

Jinsheng Pan, Weihong Qi, Zichen Wang, Hanjia Lyu, Jiebo Luo

Comments Accepted for publication in Proceedings of the Workshop on News Media and Computational Journalism (MEDIATE), AAAI International Conference on Web and Social Media (ICWSM), 2023

Persuasion Strategies in Advertisements

Yaman Kumar Singla, Rajat Jha, Arunim Gupta, Milan Aggarwal, Aditya Garg, Tushar Malyan, Ayush Bhardwaj, Rajiv Ratn Shah, Balaji Krishnamurthy, Changyou Chen

Comments Accepted at AAAI-23

Taxonomizing and Measuring Representational Harms: A Look at Image Tagging

Jared Katzman, Angelina Wang, Morgan Scheuerman, Su Lin Blodgett, Kristen Laird, Hanna Wallach, Solon Barocas

Comments AAAI-23 Special Track on AI for Social Impact

Journal ref Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023)

Differentially Private Learning with Per-Sample Adaptive Clipping

Tianyu Xia, Shuheng Shen, Su Yao, Xinyi Fu, Ke Xu, Xiaolong Xu, Xing Fu

Comments To appear in AAAI 2023, Revised acknowledgments and citations

Qualitative Analysis of a Graph Transformer Approach to Addressing Hate Speech: Adapting to Dynamically Changing Content

Liam Hebert, Hong Yi Chen, Robin Cohen, Lukasz Golab

Comments Accepted at AAAI 2023 AI for Social Good

Improving Pareto Front Learning via Multi-Sample Hypernetworks

Long P. Hoang, Dung D. Le, Tran Anh Tuan, Tran Ngoc Thang

Comments Accepted to AAAI-23

ScatterFormer: Locally-Invariant Scattering Transformer for Patient-Independent Multispectral Detection of Epileptiform Discharges

Ruizhe Zheng, Jun Li, Yi Wang, Tian Luo, Yuguo Yu

Comments 11 pages

Journal ref Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023)

A Parameterized Theory of PAC Learning

Cornelius Brand, Robert Ganian, Kirill Simonov

Comments Accepted at AAAI 2023

Interactive Concept Bottleneck Models

Kushal Chauhan, Rishabh Tiwari, Jan Freyberg, Pradeep Shenoy, Krishnamurthy Dvijotham

Comments Accepted at AAAI 2023