AAAI

Adaptive Greedy versus Non-adaptive Greedy for Influence Maximization

Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao

Comments 26 pages, 0 figure, accepted at JAIR'22: Journal of Artificial Intelligence Research 74 (2022) 303-351; A short version of this paper was accepted at AAAI'20: Thirty-Fourth AAAI Conference on Artificial Intelligence

Journal ref Journal of Artificial Intelligence Research 2022, Vol. 74, Page 303-351; Proceedings of the AAAI Conference on Artificial Intelligence 2020, Vol. 34 No. 01, Page 590-597

Causal Discovery in Hawkes Processes by Minimum Description Length

Amirkasra Jalaldoust, Katerina Hlavackova-Schindler, Claudia Plant

Comments 10 pages, 3 figures; Will be published in Proceedings of the 36th AAAI Conference

Matching Tweets With Applicable Fact-Checks Across Languages

Ashkan Kazemi, Zehua Li, Verónica Pérez-Rosas, Scott A. Hale, Rada Mihalcea

Comments Accepted to De-Factify Workshop at AAAI 2022

Outsider Oversight: Designing a Third Party Audit Ecosystem for AI Governance

Inioluwa Deborah Raji, Peggy Xu, Colleen Honigsberg, Daniel E. Ho

Comments Presented at 5th Annual ACM/AAAI AI Ethics and Society (AIES) conference

Leveraging Centric Data Federated Learning Using Blockchain For Integrity Assurance

Riadh Ben Chaabene, Darine Amayed, Mohamed Cheriet

Comments Published at International Workshop on Trustable, Verifiable and Auditable Federated Learning in Conjunction with AAAI 2022 (FL-AAAI-22) https://federated-learning.org/fl-aaai-2022/

BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search

Colin White, Willie Neiswanger, Yash Savani

Journal ref AAAI Conference on Artificial Intelligence 2021

Objective-Based Hierarchical Clustering of Deep Embedding Vectors

Stanislav Naumov, Grigory Yaroslavtsev, Dmitrii Avdiukhin

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence (2021), 35(10), 9055-9063

Inferring Lexicographically-Ordered Rewards from Preferences

Alihan Hüyük, William R. Zame, Mihaela van der Schaar

Comments In Proceedings of the 36th AAAI Conference on Artificial Intelligence

Gender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semantics

Aylin Caliskan, Pimparkar Parth Ajay, Tessa Charlesworth, Robert Wolfe, Mahzarin R. Banaji

Comments 15 pages, 6 figures, accepted to AAAI/ACM Artificial Intelligence, Ethics, and Society

Twitter Corpus of the #BlackLivesMatter Movement And Counter Protests: 2013 to 2021

Salvatore Giorgi, Sharath Chandra Guntuku, McKenzie Himelein-Wachowiak, Amy Kwarteng, Sy Hwang, Muhammad Rahman, Brenda Curtis

Comments Published at the 16th International AAAI Conference on Web and Social Media (ICWSM) 2022

Correcting Sociodemographic Selection Biases for Population Prediction from Social Media

Salvatore Giorgi, Veronica Lynn, Keshav Gupta, Farhan Ahmed, Sandra Matz, Lyle Ungar, H. Andrew Schwartz

Comments Published at the 16th International AAAI Conference on Web and Social Media (ICWSM) 2022

Hybrid Instance-aware Temporal Fusion for Online Video Instance Segmentation

Xiang Li, Jinglu Wang, Xiao Li, Yan Lu

Comments AAAI 2022

On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning

Andrew Cohen, Ervin Teng, Vincent-Pierre Berges, Ruo-Ping Dong, Hunter Henry, Marwan Mattar, Alexander Zook, Sujoy Ganguly

Comments RL in Games Workshop AAAI 2022

Stratified Rule-Aware Network for Abstract Visual Reasoning

Sheng Hu, Yuqing Ma, Xianglong Liu, Yanlu Wei, Shihao Bai

Comments AAAI 2021 paper. Code: https://github.com/husheng12345/SRAN

DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation

Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian

Comments Accepted by AAAI'22

Introducing Symmetries to Black Box Meta Reinforcement Learning

Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram Friesen, Junhyuk Oh, Yutian Chen

Comments AAAI 2022

Adaptive Pairwise Weights for Temporal Credit Assignment

Zeyu Zheng, Risto Vuorio, Richard Lewis, Satinder Singh

Comments AAAI 2022. The first two authors contributed equally

Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling

Ran Tao, Han Zhang, Yutong Zheng, Marios Savvides

Comments published in AAAI-22

Algorithmic Fairness and Structural Injustice: Insights from Feminist Political Philosophy

Atoosa Kasirzadeh

Comments This paper is accepted for publication in the Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (AIES 22)

Transparency, Governance and Regulation of Algorithmic Tools Deployed in the Criminal Justice System: a UK Case Study

Miri Zilka, Holli Sargeant, Adrian Weller

Comments AAAI/ACM Conference on AI, Ethics, and Society 2022

Racial Disparities in the Enforcement of Marijuana Violations in the US

Bradley Butcher, Chris Robinson, Miri Zilka, Riccardo Fogliato, Carolyn Ashurst, Adrian Weller

Comments AAAI/ACM Conference on AI, Ethics, and Society 2022

Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment

Guangxing Han, Shiyuan Huang, Jiawei Ma, Yicheng He, Shih-Fu Chang

Comments AAAI 2022 (Oral). Code is available at https://github.com/GuangxingHan/Meta-Faster-R-CNN

A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making

Max Schemmer, Patrick Hemmer, Maximilian Nitsche, Niklas Kühl, Michael Vössing

Comments AAAI/ACM Conference on AI, Ethics, and Society (AIES'22)

High-Dimensional Bayesian Optimization via Tree-Structured Additive Models

Eric Han, Ishank Arora, Jonathan Scarlett

Comments To appear in AAAI 2021

Journal ref Vol. 35 No. 9: AAAI-21 Technical Tracks 9 (2021) 7630-7638

From Explanation to Recommendation: Ethical Standards for Algorithmic Recourse

Emily Sullivan, Philippe Verreault-Julien

Comments 11 pages, 3 figures, to be published in Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society

Algorithms that "Don't See Color": Comparing Biases in Lookalike and Special Ad Audiences

Piotr Sapiezynski, Avijit Ghosh, Levi Kaplan, Aaron Rieke, Alan Mislove

Journal ref Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society

MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers

Elias B. Khalil, Christopher Morris, Andrea Lodi

Comments AAAI 2022

A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning

Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Christopher Amato

Journal ref Thirty-Sixth AAAI Conference on Artificial Intelligence 2022 (AAAI-22)

Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement

Yichao Du, Zhirui Zhang, Weizhi Wang, Boxing Chen, Jun Xie, Tong Xu

Comments AAAI 2022

Do it Like the Doctor: How We Can Design a Model That Uses Domain Knowledge to Diagnose Pneumothorax

Glen Smith, Qiao Zhang, Christopher MacLellan

Comments 15 pages, Presented at AAAI Spring Symposium on Machine Learning and Knowledge Engineering 2022