AAAI

Design of Explainability Module with Experts in the Loop for Visualization and Dynamic Adjustment of Continual Learning

Yujiang He, Zhixin Huang, Bernhard Sick

Comments Accepted at the AAAI-22 Workshop on Interactive Machine Learning (IML@AAAI'22)

Online-updated High-order Collaborative Networks for Single Image Deraining

Cong Wang, Jinshan Pan, Xiao-Ming Wu

Comments AAAI-22

Visual Sound Localization in the Wild by Cross-Modal Interference Erasing

Xian Liu, Rui Qian, Hang Zhou, Di Hu, Weiyao Lin, Ziwei Liu, Bolei Zhou, Xiaowei Zhou

Comments Accepted by AAAI Conference on Artificial Intelligence (AAAI) 2022. 16 pages

Online Adaptation of Neural Network Models by Modified Extended Kalman Filter for Customizable and Transferable Driving Behavior Prediction

Letian Wang, Yeping Hu, Changliu Liu

Comments Accepted by the 2022 AAAI Conference on Artificial Intelligence (HCSSL Workshop). This article follows arXiv:2111.00788

Vector Quantized Bayesian Neural Network Inference for Data Streams

Namuk Park, Taekyu Lee, Songkuk Kim

Comments AAAI 2021

Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data

Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov

Comments Preprint version for Association for the Advancement of Artificial Intelligence Conference, AAAI 2022

Socialbots supporting human rights

E. Velázquez, M. Yazdani, P. Suárez-Serrato

Journal ref AIES '18: Proc. AAAI/ACM Conference on AI, Ethics, and Society, 2018, 290--296

Electricity Consumption Forecasting for Out-of-distribution Time-of-Use Tariffs

Jyoti Narwariya, Chetan Verma, Pankaj Malhotra, Lovekesh Vig, Easwara Subramanian, Sanjay Bhat

Comments Accepted paper at AAAI workshop AIBSD 2022

Faster No-Regret Learning Dynamics for Extensive-Form Correlated and Coarse Correlated Equilibria

Ioannis Anagnostides, Gabriele Farina, Christian Kroer, Andrea Celli, Tuomas Sandholm

Comments Preliminary parts of this paper will appear at the AAAI-22 Workshop on Reinforcement Learning in Games. This version also contains results from an earlier preprint published by a subset of the authors (arXiv:2109.08138)

Zero Shot Learning for Predicting Energy Usage of Buildings in Sustainable Design

Arun Zachariah, Praveen Rao, Brian Corn, Dominique Davison

Comments To appear in 1st Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE) @ AAAI 2022

Hard to Forget: Poisoning Attacks on Certified Machine Unlearning

Neil G. Marchant, Benjamin I. P. Rubinstein, Scott Alfeld

Comments Align with camera-ready submission to AAAI-22. Changes include: switched to row-wise normalization in Algorithm 3, added link to GitHub repository, added Appendix C with additional results on long-term effectiveness

Background Invariant Classification on Infrared Imagery by Data Efficient Training and Reducing Bias in CNNs

Maliha Arif, Calvin Yong, Abhijit Mahalanobis

Comments Accepted in AAAI-22 Workshop

Beyond Pairwise Comparisons in Social Choice: A Setwise Kemeny Aggregation Problem

Hugo Gilbert, Tom Portoleau, Olivier Spanjaard

Comments 36 pages, extends a work published at AAAI 2020. Compared to the previous version on arXiv, some notations have been changed, and section 5 has been added

Maximum Likelihood Uncertainty Estimation: Robustness to Outliers

Deebul S. Nair, Nico Hochgeschwender, Miguel A. Olivares-Mendez

Comments 8 Pages, 8 Figures, The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), The AAAI's Workshop on Artificial Intelligence Safety

Learning Optical Flow with Adaptive Graph Reasoning

Ao Luo, Fan Yang, Kunming Luo, Xin Li, Haoqiang Fan, Shuaicheng Liu

Comments To appear in AAAI-22

Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning

Thilini Cooray, Ngai-Man Cheung

Comments Accepted to AAAI 2022

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

Francesco Croce, Maksym Andriushchenko, Naman D. Singh, Nicolas Flammarion, Matthias Hein

Comments Accepted at AAAI 2022. This version contains considerably extended results in the L0 threat model

AutoBERT-Zero: Evolving BERT Backbone from Scratch

Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li

Comments Accepted by AAAI-2022

UNISON: Unpaired Cross-lingual Image Captioning

Jiahui Gao, Yi Zhou, Philip L. H. Yu, Shafiq Joty, Jiuxiang Gu

Comments Accepted by AAAI-2022

AI Research Associate for Early-Stage Scientific Discovery

Morad Behandish, John Maxwell, Johan de Kleer

Comments Paper #203

Journal ref AAAI-MLPS-2021: Association for the Advancement of Artificial Intelligence (AAAI) 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physics Sciences (MLPS)

Combining Deep Learning and Reasoning for Address Detection in Unstructured Text Documents

Matthias Engelbach, Dennis Klau, Jens Drawehn, Maximilien Kintz

Comments 5 pages, 1 figure, submitted to AAAI-22 workshop CLeaR, peer reviewed

BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning

Arup Mondal, Harpreet Virk, Debayan Gupta

Comments The Third AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-22) at the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22)

SFMGNet: A Physics-based Neural Network To Predict Pedestrian Trajectories

Sakif Hossain, Fatema T. Johora, Jörg P. Müller, Sven Hartmann, Andreas Reinhardt

Comments 16 pages, 6 figures, AAAI-MAKE 2022: Machine Learning and Knowledge Engineering for Hybrid Intelligence

Toward a New Science of Common Sense

Ronald J. Brachman, Hector J. Levesque

Comments Initial version published in Proceedings of AAAI-22, the Thirty-Sixth AAAI Conference on Artificial Intelligence. Original version extended slightly to include acknowledgement of more recent work, including new references, and to clarify remarks in a few paragraphs

ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing

Yixuan Weng, Fei Xia, Bin Li, Xiusheng Huang, Shizhu He

Comments SDU@AAAI-2022

FISR: Deep Joint Frame Interpolation and Super-Resolution with a Multi-scale Temporal Loss

Soo Ye Kim, Jihyong Oh, Munchurl Kim

Comments The first two authors contributed equally to this work. Accepted to AAAI 2020 (camera-ready version)

Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition

Lipeng Ke, Kuan-Chuan Peng, Siwei Lyu

Comments AAAI 2022

LTU Attacker for Membership Inference

Joseph Pedersen, Rafael Muñoz-Gómez, Jiangnan Huang, Haozhe Sun, Wei-Wei Tu, Isabelle Guyon

Comments 10 pages, 4 figures, accepted for presentation at the Third AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-22), February 2022

Mercer Features for Efficient Combinatorial Bayesian Optimization

Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa

Comments 10 pages, 5 figures, Accepted at AAAI conference 2021

Journal ref Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021

Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework

Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern

Comments 9 pages, 8 figures

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence. 34, 04 (Apr. 2020), 3773-3780