AAAI

Two ways towards combining Sequential Neural Network and Statistical Methods to Improve the Prediction of Time Series

Jingwei Li

Comments 8 pages, 4 figures, conference: AAAI

Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training

Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein

Comments Accepted to AAAI 2022 (Preprint version)

Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention

Maurice Günder, Nico Piatkowski, Laura von Rueden, Rafet Sifa, Christian Bauckhage

Comments 4 pages, AAAI-2022 Workshop AI for Agriculture and Food Systems (AIAFS)

Differentially Private Regret Minimization in Episodic Markov Decision Processes

Sayak Ray Chowdhury, Xingyu Zhou

Comments Accepted by AAAI 2022

Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization

Yufei Kuang, Miao Lu, Jie Wang, Qi Zhou, Bin Li, Houqiang Li

Comments Accepted to AAAI 2022

Towards Trustworthy Cross-patient Model Development

Ali El-Merhi, Helena Odenstedt Hergés, Linda Block, Mikael Elam, Richard Vithal, Jaquette Liljencrantz, Miroslaw Staron

Journal ref AAAI workshop on Trustworthy AI for Healthcare, 2022

Diaformer: Automatic Diagnosis via Symptoms Sequence Generation

Junying Chen, Dongfang Li, Qingcai Chen, Wenxiu Zhou, Xin Liu

Comments AAAI 2022; The first two authors contributed equally to this paper

Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction

Dongfang Li, Baotian Hu, Qingcai Chen, Tujie Xu, Jingcong Tao, Yunan Zhang

Comments AAAI 2022

The Complexity of Subelection Isomorphism Problems

Piotr Faliszewski, Krzysztof Sornat, Stanisław Szufa

Comments 18 pages, 2 figures, 1 table. A preliminary conference version of this work will appear in AAAI 2022

On Causal Inference for Data-free Structured Pruning

Martin Ferianc, Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Quentin Cappart

Comments Accepted to ITCI'22: The AAAI-22 Workshop on Information-Theoretic Methods for Causal Inference and Discovery

Parameterized Approximation Algorithms for $k$-Center Clustering and Variants

Sayan Bandyapadhyay, Zachary Friggstad, Ramin Mousavi

Comments A preliminary version appears in AAAI 2022

Initiative Defense against Facial Manipulation

Qidong Huang, Jie Zhang, Wenbo Zhou, WeimingZhang, Nenghai Yu

Comments Accepted at AAAI 2021

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 35(2), 1619-1627, 2021

Unified Named Entity Recognition as Word-Word Relation Classification

Jingye Li, Hao Fei, Jiang Liu, Shengqiong Wu, Meishan Zhang, Chong Teng, Donghong Ji, Fei Li

Comments Accepted by AAAI'22

Set Twister for Single-hop Node Classification

Yangze Zhou, Vinayak Rao, Bruno Ribeiro

Comments Accepted for presentation at the 2nd GCLR workshop in conjunction with AAAI 2022

Contrastive Spatio-Temporal Pretext Learning for Self-supervised Video Representation

Yujia Zhang, Lai-Man Po, Xuyuan Xu, Mengyang Liu, Yexin Wang, Weifeng Ou, Yuzhi Zhao, Wing-Yin Yu

Comments Accepted by AAAI 2022, Preprint version with Appendix

Multimodal Interactions Using Pretrained Unimodal Models for SIMMC 2.0

Joosung Lee, Kijong Han

Comments Accepted to DSTC10 challenge wokrshop at AAAI 2022

Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer

Wenda Xu, Michael Saxon, Misha Sra, William Yang Wang

Comments 12 pages, 8 tables, 3 figures. AAAI 2022 Conference Paper

DeformRS: Certifying Input Deformations with Randomized Smoothing

Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem

Comments Accepted to AAAI Conference on Artificial Intelligence (AAAI'22)

Stability Verification in Stochastic Control Systems via Neural Network Supermartingales

Mathias Lechner, Đorđe Žikelić, Krishnendu Chatterjee, Thomas A. Henzinger

Comments Accepted by AAAI 2022

SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained Siamese Transformers

Lin Liu, Shanxin Yuan, Jianzhuang Liu, Xin Guo, Youliang Yan, Qi Tian

Journal ref AAAI 2022

Improving evidential deep learning via multi-task learning

Dongpin Oh, Bonggun Shin

Comments Accepted by AAAI-2022

Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards

Sebastian Shenghong Tay, Xinyi Xu, Chuan Sheng Foo, Bryan Kian Hsiang Low

Comments 36th AAAI Conference on Artificial Intelligence (AAAI 2022), Extended version with derivations, 42 pages

Towards End-to-End Image Compression and Analysis with Transformers

Yuanchao Bai, Xu Yang, Xianming Liu, Junjun Jiang, Yaowei Wang, Xiangyang Ji, Wen Gao

Comments Accepted by AAAI 2022; Code: https://github.com/BYchao100/Towards-Image-Compression-and-Analysis-with-Transformers

Neural Architectures for Biological Inter-Sentence Relation Extraction

Enrique Noriega-Atala, Peter M. Lovett, Clayton T. Morrison, Mihai Surdeanu

Comments Accepted at the Scientific Document Understanding workshop at AAAI'22

ALEBk: Feasibility Study of Attention Level Estimation via Blink Detection applied to e-Learning

Roberto Daza, Daniel DeAlcala, Aythami Morales, Ruben Tolosana, Ruth Cobos, Julian Fierrez

Comments Preprint of the paper presented to the Workshop on Artificial Intelligence for Education (AI4EDU) of AAAI 2022

Characterizing the Program Expressive Power of Existential Rule Languages

Heng Zhang

Comments The full version of a paper to be published in AAAI-22

Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence

Ana Lucic, Maurits Bleeker, Sami Jullien, Samarth Bhargav, Maarten de Rijke

Comments Accepted to the AAAI Symposium on Educational Advances in AI (EAAI 2022)

Amortized Generation of Sequential Algorithmic Recourses for Black-box Models

Sahil Verma, Keegan Hines, John P. Dickerson

Comments Accepted at AAAI 2022

FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles

Ana Lucic, Harrie Oosterhuis, Hinda Haned, Maarten de Rijke

Comments Accepted to AAAI 2022

IS-COUNT: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling

Chenlin Meng, Enci Liu, Willie Neiswanger, Jiaming Song, Marshall Burke, David Lobell, Stefano Ermon

Comments AAAI 2022