AAAI

Preferences Single-Peaked on a Tree: Multiwinner Elections and Structural Results

Dominik Peters, Lan Yu, Hau Chan, Edith Elkind

Comments 44 pages, extends works published at AAAI 2016 and IJCAI 2013, published version

Journal ref Journal of Artificial Intelligence Research 73 (2022) 231-276

Cross-Domain Few-Shot Graph Classification

Kaveh Hassani

Comments AAAI 2022

Combining Machine Learning with Knowledge Engineering to detect Fake News in Social Networks-a survey

Sajjad Ahmed, Knut Hinkelmann, Flavio Corradini

Comments 12 pages

Journal ref AAAI MAKE 2019

PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study

Weihuang Xu, Guohao Yu, Yiming Cui, Romain Gloaguen, Alina Zare, Jason Bonnette, Joel Reyes-Cabrera, Ashish Rajurkar, Diane Rowland, Roser Matamala, Julie D. Jastrow, Thomas E. Juenger, Felix B. Fritschi

Comments The 36th AAAI Conference on the AI for Agriculture and Food Systems (AIAFS) Workshop

Adaptive Energy Management for Self-Sustainable Wearables in Mobile Health

Dina Hussein, Ganapati Bhat, Janardhan Rao Doppa

Comments To be presented at AAAI 2022

ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition

Zekai Chen, Xiao Zhang, Xiuzhen Cheng

Comments 7 pages, 5 figures; accepted by AAAI'22

Improving Biomedical Information Retrieval with Neural Retrievers

Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral

Comments Accepted at AAAI 2022

Improving Behavioural Cloning with Human-Driven Dynamic Dataset Augmentation

Federico Malato, Joona Jehkonen, Ville Hautamäki

Comments 6 pages, 5 figures, 2 code snippets, accepted at the AAAI-22 Workshop on Interactive Machine Learning

Market Design for Drone Traffic Management

Sven Seuken, Paul Friedrich, Ludwig Dierks

Comments Final version of a Blue Sky Ideas paper forthcoming at the 36th AAAI Conference on Artificial Intelligence, Vancouver, Canada, 2022. Changes to prev. version: expanded several sections, fixed typos, added references

A Search Engine for Discovery of Scientific Challenges and Directions

Dan Lahav, Jon Saad Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope

Comments AAAI 2022

Journal ref AAAI 2022

Towards Federated Clustering: A Federated Fuzzy $c$-Means Algorithm (FFCM)

Morris Stallmann, Anna Wilbik

Comments International Workshop on Trustable, Verifiable and Auditable Federated Learning in Conjunction with AAAI 2022 (FL-AAAI-22)

NSGZero: Efficiently Learning Non-Exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search

Wanqi Xue, Bo An, Chai Kiat Yeo

Comments Published as a conference paper in AAAI 2022

Dialog Intent Induction via Density-based Deep Clustering Ensemble

Jiashu Pu, Guandan Chen, Yongzhu Chang, Xiaoxi Mao

Comments accepted by AAAI-22 W16: Dialog System Technology Challenge (DSTC10)

Deep Translation Prior: Test-time Training for Photorealistic Style Transfer

Sunwoo Kim, Soohyun Kim, Seungryong Kim

Comments Accepted to AAAI 2022. Code is available at https://github.com/sunshower76/Deep_Trainslation_Prior

SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations

Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao

Comments Accepted to 36th AAAI Conference on Artificial Intelligence (AAAI 2022)

Sparse Cross-scale Attention Network for Efficient LiDAR Panoptic Segmentation

Shuangjie Xu, Rui Wan, Maosheng Ye, Xiaoyi Zou, Tongyi Cao

Comments Accepted by the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22)

Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition

Yi Zhang, Mingyuan Chen, Jundong Shen, Chongjun Wang

Comments To be published in AAAI 2022

Uncertainty-Aware Multi-View Representation Learning

Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu

Comments AAAI 2021 published paper

MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation

Chen Zhang, Luis Fernando D'Haro, Thomas Friedrichs, Haizhou Li

Comments AAAI-2022 Preprint (corrected the missing citation issue.)

Distribution-Free Federated Learning with Conformal Predictions

Charles Lu, Jayasheree Kalpathy-Cramer

Comments International Workshop on Trustable, Verifiable and Auditable Federated Learning in Conjunction with AAAI 2022 (FL-AAAI-22)

Towards Communication-Efficient and Privacy-Preserving Federated Representation Learning

Haizhou Shi, Youcai Zhang, Zijin Shen, Siliang Tang, Yaqian Li, Yandong Guo, Yueting Zhuang

Comments To appear in FL-AAAI-22 workshop, working in progress

Disentangling Transfer and Interference in Multi-Domain Learning

Yipeng Zhang, Tyler L. Hayes, Christopher Kanan

Comments AAAI 2022 PracticalDL Workshop

Mutual Contrastive Learning for Visual Representation Learning

Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu

Comments 9 pages, AAAI-2022

Bandit Data-Driven Optimization

Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang

Comments This is the complete version of the paper. A version of this paper is also published at AAAI-22

The Lokahi Prototype: Toward the automatic Extraction of Entity Relationship Models from Text

Michael Kaufmann

Comments Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019)

Feature Space Hijacking Attacks against Differentially Private Split Learning

Grzegorz Gawron, Philip Stubbings

Comments To appear at the Third AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-22). (4 pages, short paper.)

Grassmannian Shape Representations for Aerodynamic Applications

Olga A. Doronina, Zachary J. Grey, Andrew Glaws

Comments 5 pages, 4 figures, submitted to AI for Design and Manufacturing(ADAM) workshop of AAAI-2022 conference

Formal Analysis of Art: Proxy Learning of Visual Concepts from Style Through Language Models

Diana Kim, Ahmed Elgammal, Marian Mazzone

Comments 23 pages, This paper is an extended version of a paper that will be published at the 36th AAAI Conference on Artificial Intelligence, to beheld in Vancouver, BC, Canada, February 22 - March 1, 2022

Online 3D Bin Packing with Constrained Deep Reinforcement Learning

Hang Zhao, Qijin She, Chenyang Zhu, Yin Yang, Kai Xu

Comments AAAI 2021

MeTeoR: Practical Reasoning in Datalog with Metric Temporal Operators

Dingmin Wang, Pan Hu, Przemysław Andrzej Wałęga, Bernardo Cuenca Grau

Comments Accepted To AAAI 2022