IJCAI

Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention

Ce Ju, Ruihui Zhao, Jichao Sun, Xiguang Wei, Bo Zhao, Yang Liu, Hongshan Li, Tianjian Chen, Xinwei Zhang, Dashan Gao, Ben Tan, Han Yu, Chuning He, Yuan Jin

Comments 4 pages, 3 figures, 1 table, Accepted for Workshop on Federated Learning for Data Privacy and Confidentiality in Conjunction with IJCAI 2020 (FL-IJCAI'20)

Self-Supervised Tuning for Few-Shot Segmentation

Kai Zhu, Wei Zhai, Zheng-Jun Zha, Yang Cao

Comments Accepted to IJCAI 2020

Reasoning about disclosure in data integration in the presence of source constraints

Michael Benedikt, Pierre Bourhis, Louis Jachiet, Michaël Thomazo

Journal ref 28th International Joint Conference on Artificial Intelligence (IJCAI-19), Aug 2019, Macau, China

winPIBT: Extended Prioritized Algorithm for Iterative Multi-agent Path Finding

Keisuke Okumura, Yasumasa Tamura, Xavier Défago

Comments 9 pages, 7 figures, preprint, to be presented at IJCAI-20 MAPF workshop

Knowledge-Based Regularization in Generative Modeling

Naoya Takeishi, Yoshinobu Kawahara

Comments 12 pages, 7 figures, 9 tables, presented in IJCAI 2020

MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics

Mohammadamin Barekatain, Ryo Yonetani, Masashi Hamaya

Comments This work was presented at IJCAI 2020. Copyright (c) 2020 International Joint Conferences on Artificial Intelligence, All rights reserved

Journal ref Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence 2020. Pages 3108-3116

NLocalSAT: Boosting Local Search with Solution Prediction

Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang

Comments Accepted by IJCAI 2020

On Irrelevant Literals in Pseudo-Boolean Constraint Learning

Danel Le Berre, Pierre Marquis, Stefan Mengel, Romain Wallon

Comments published at IJCAI 2020

Ordinal Monte Carlo Tree Search

Tobias Joppen, Johannes Fürnkranz

Comments preview

Journal ref IJCAI Workshop on Monte Carlo Tree Search, 2020

Reducing Discrimination in Learning Algorithms for Social Good in Sociotechnical Systems

Katelyn Morrison

Comments 3 page position paper accepted to the AI for Social Good workshop at The International Joint Conference on Artificial Intelligence (IJCAI). To be presented on January 8th, 2021

Recent Developments in Boolean Matrix Factorization

Pauli Miettinen, Stefan Neumann

Comments This technical report is the slightly extended version of a survey which appeared at IJCAI'20

Deep Recurrent Quantization for Generating Sequential Binary Codes

Jingkuan Song, Xiaosu Zhu, Lianli Gao, Xin-Shun Xu, Wu Liu, Heng Tao Shen

Journal ref Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence 1 (2019) 912-918

Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval

Lianli Gao, Xiaosu Zhu, Jingkuan Song, Zhou Zhao, Heng Tao Shen

Journal ref Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence 1 (2019) 723-729

Relation Clustering in Narrative Knowledge Graphs

Simone Mellace, K Vani, Alessandro Antonucci

Comments Accepted for AI4Narratives Workshop at 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence

European Strategy on AI: Are we truly fostering social good?

Francesca Foffano, Teresa Scantamburlo, Atia Cortés, Chiara Bissolo

Comments 6 pages, 1 figures, submitted at IJCAI 2020 Workshop on AI for Social Good

Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model

Juntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan

Journal ref IJCAI-PRICAI2020

A decentralized aggregation mechanism for training deep learning models using smart contract system for bank loan prediction

Pratik Ratadiya, Khushi Asawa, Omkar Nikhal

Comments Accepted at the Workshop on AI and Blockchains at the 29th International Joint Conference on Artificial Intelligence (IJCAI-PRICAI), 2020

Only Relevant Information Matters: Filtering Out Noisy Samples to Boost RL

Yannis Flet-Berliac, Philippe Preux

Comments Accepted at IJCAI 2020

Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations

Anna Bogdanova, Akie Nakai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai

Comments 6 pages with 4 figures. To be presented at the Workshop on Federated Learning for Data Privacy and Confidentiality in Conjunction with IJCAI 2020 (FL-IJCAI'20)

Heterogeneous Data-Aware Federated Learning

Lixuan Yang, Cedric Beliard, Dario Rossi

Comments IJCAI 2020 Federated learning workshop

Fed-Focal Loss for imbalanced data classification in Federated Learning

Dipankar Sarkar, Ankur Narang, Sumit Rai

Comments Accepted for the Workshop on Federated Learning for Data Privacy and Confidentiality in Conjunction with IJCAI 2020 (FL-IJCAI'20)

Keep It Real: a Window to Real Reality in Virtual Reality

Baihan Lin

Comments IJCAI 2020

BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference

Peichen Xie, Bingzhe Wu, Guangyu Sun

Comments accepted by IJCAI 2019; camera ready

Decentralized MCTS via Learned Teammate Models

Aleksander Czechowski, Frans A. Oliehoek

Comments Sole copyright holder is IJCAI, all rights reserved. Published version available online: https://doi.org/10.24963/ijcai.2020/12

Journal ref Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, pages 81--88, 2020

Evaluating approval-based multiwinner voting in terms of robustness to noise

Ioannis Caragiannis, Christos Kaklamanis, Nikos Karanikolas, George A. Krimpas

Comments Preliminary version appeared in IJCAI 2020

Maximizing Welfare with Incentive-Aware Evaluation Mechanisms

Nika Haghtalab, Nicole Immorlica, Brendan Lucier, Jack Z. Wang

Comments Published in IJCAI 2020

Learning in the Wild with Incremental Skeptical Gaussian Processes

Andrea Bontempelli, Stefano Teso, Fausto Giunchiglia, Andrea Passerini

Comments 7 pages, 3 figures, code: https://gitlab.com/abonte/incremental-skeptical-gp

Journal ref Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI20). (2020). Pages 2886-2892

Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation

Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes

Comments Accepted by IJCAI 2020

Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning

Yuncheng Hua, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Wei Wu

Comments 8 pages, 2 figures, published in IJCAI 2020

Journal ref IJCAI 2020: 3679-3686

How do Offline Measures for Exploration in Reinforcement Learning behave?

Jakob J. Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus Piater

Comments KBRL Workshop at IJCAI-PRICAI 2020, Yokohama, Japan