AAAI

SafeLife 1.0: Exploring Side Effects in Complex Environments

Carroll L. Wainwright, Peter Eckersley

Comments Updated version was presented at the AAAI SafeAI 2020 Workshop, but now with updated contact info. Previously presented at the 2019 NeurIPS Safety and Robustness in Decision Making Workshop

Journal ref CEUR Workshop Proceedings, 2560 (2020) 117-127

LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching

Boer Lyu, Lu Chen, Su Zhu, Kai Yu

Comments Accepted by AAAI 2021; 9 pages, 5 figures

Self-Attention Attribution: Interpreting Information Interactions Inside Transformer

Yaru Hao, Li Dong, Furu Wei, Ke Xu

Comments AAAI-2021

Dependency Stochastic Boolean Satisfiability: A Logical Formalism for NEXPTIME Decision Problems with Uncertainty

Nian-Ze Lee, Jie-Hong R. Jiang

Comments 10 pages, 5 figures. A condensed version of this work is published in the AAAI Conference on Artificial Intelligence (AAAI) 2021

AI for Explaining Decisions in Multi-Agent Environments

Sarit Kraus, Amos Azaria, Jelena Fiosina, Maike Greve, Noam Hazon, Lutz Kolbe, Tim-Benjamin Lembcke, Jörg P. Müller, Sören Schleibaum, Mark Vollrath

Comments This paper has been submitted to the Blue Sky Track of the AAAI 2020 conference. At the time of submission, it is under review. The tentative notification date will be November 10, 2019. Current version: Name of first author had been added in metadata

Self-Domain Adaptation for Face Anti-Spoofing

Jingjing Wang, Jingyi Zhang, Ying Bian, Youyi Cai, Chunmao Wang, Shiliang Pu

Comments Camera Ready, AAAI 2021

Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior

Anh Tong, Toan Tran, Hung Bui, Jaesik Choi

Comments AAAI 2021

Lifelong Learning Dialogue Systems: Chatbots that Self-Learn On the Job

Bing Liu, Sahisnu Mazumder

Comments A revised version of this work has been published in AAAI-2021 with title: "Lifelong and Continual Learning Dialogue Systems: Learning during Conversation". Please use this revised AAAI-21 version for citation

Challenges for Using Impact Regularizers to Avoid Negative Side Effects

David Lindner, Kyle Matoba, Alexander Meulemans

Comments Presented at the SafeAI workshop at AAAI 2021

ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation

Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer

Comments Accepted by AAAI 2021

FaceController: Controllable Attribute Editing for Face in the Wild

Zhiliang Xu, Xiyu Yu, Zhibin Hong, Zhen Zhu, Junyu Han, Jingtuo Liu, Errui Ding, Xiang Bai

Comments Accepted to AAAI 2021

Stability and Generalization of the Decentralized Stochastic Gradient Descent

Tao Sun, Dongsheng Li, Bao Wang

Journal ref AAAI-2021

Scalable and Provably Accurate Algorithms for Differentially Private Distributed Decision Tree Learning

Kaiwen Wang, Travis Dick, Maria-Florina Balcan

Comments In AAAI Workshop on Privacy-Preserving Artificial Intelligence, 2020

Learning from eXtreme Bandit Feedback

Romain Lopez, Inderjit S. Dhillon, Michael I. Jordan

Journal ref AAAI Conference on Artificial Intelligence 2021

Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search

Chuchu Han, Zhedong Zheng, Changxin Gao, Nong Sang, Yi Yang

Comments 8 pages, 6 figures. Accepted by AAAI 2021

Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation

Shaoxiong Feng, Xuancheng Ren, Kan Li, Xu Sun

Comments Accepted by AAAI 2021; Camera ready version

Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction

Benfeng Xu, Quan Wang, Yajuan Lyu, Yong Zhu, Zhendong Mao

Comments Accepted to AAAI 2021

Collaborative Group Learning

Shaoxiong Feng, Hongshen Chen, Xuancheng Ren, Zhuoye Ding, Kan Li, Xu Sun

Comments Accepted by AAAI 2021; Camera ready version

CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting

Chaoyun Zhang, Marco Fiore, Iain Murray, Paul Patras

Comments 17 pages, 15 figures, AAAI'21

Scalable Privacy-Compliant Virality Prediction on Twitter

Damian Konrad Kowalczyk, Jan Larsen

Comments AffCon@AAAI-19 Best Paper Award; Presented at AAAI-19 W1: Affective Content Analysis

Journal ref Proceedings of AffCon 2019 @ AAAI, CEUR-WS.org/Vol-2328 (2019) 12-27, urn:nbn:de:0074-2328-8, online http://ceur-ws.org/Vol-2328/

Deep Learning Approaches for Forecasting Strawberry Yields and Prices Using Satellite Images and Station-Based Soil Parameters

Mohita Chaudhary, Mohamed Sadok Gastli, Lobna Nassar, Fakhri Karray

Comments Paper Accepted in Association for the Advancement of Artificial Intelligence (AAAI) Spring Symposium on 21st Jan, 2021

Journal ref AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021)

StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling

Eugene Seo, Rebecca A. Hutchinson, Xiao Fu, Chelsea Li, Tyler A. Hallman, John Kilbride, W. Douglas Robinson

Comments To appear in the Proceeding of the 35th AAAI Conference on Artificial Intelligence (AAAI-21); Added supplemental material

Learning General Policies from Small Examples Without Supervision

Guillem Francès, Blai Bonet, Hector Geffner

Comments AAAI 2021, version extended with appendix containing full proofs and experimental details

GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction

Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang

Comments AAAI 2021

Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning

A. Tuan Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang

Comments AAAI 2021. The first two authors contributed equally to this work. 10 pages, 4 figures, 4 tables

Asymptotically tight bounds for inefficiency in risk-averse selfish routing

Thanasis Lianeas, Evdokia Nikolova, Nicolas E. Stier-Moses

Journal ref Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI'16). AAAI Press, 338-344, 2016

Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View

Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui

Comments AAAI-21 Camera Ready

Integrating Pre-trained Model into Rule-based Dialogue Management

Jun Quan, Meng Yang, Qiang Gan, Deyi Xiong, Yiming Liu, Yuchen Dong, Fangxin Ouyang, Jun Tian, Ruiling Deng, Yongzhi Li, Yang Yang, Daxin Jiang

Comments AAAI 2021 Demo Paper

Learning Invariant Representations using Inverse Contrastive Loss

Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N. Ravi, Vikas Singh

Comments Accepted to AAAI-21

Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities

Alina Ene, Huy L. Nguyen, Adrian Vladu

Comments Full version of AAAI-21 paper. The current version adds an experimental evaluation and revises the exposition