IJCAI 2021

722 papers

IIAS: An Intelligent Insurance Assessment System through Online Real-time Conversation Analysis

Mengdi Zhou, Shuang Peng, Minghui Yang, Nan Li, Hongbin Wang

Communication-efficient and Scalable Decentralized Federated Edge Learning

Austine Zong Han Yapp, Hong Soo Nicholas Koh, Yan Ting Lai, Jiawen Kang, Xuandi Li

AutoBandit: A Meta Bandit Online Learning System

Miao Xie, Wotao Yin, Huan Xu

Interactive Video Acquisition and Learning System for Motor Assessment of Parkinson's Disease

Yunyue Wei, Bingquan Zhu, Chen Hou, Chen Zhang, Yanan Sui

Graph-Augmented Code Summarization in Computational Notebooks

April Wang, Dakuo Wang, Xuye Liu, Lingfei Wu

Predictive Analytics for COVID-19 Social Distancing

Harold Ze Chie Teng, Hongchao Jiang, Xuan Rong Zane Ho, Wei Yang Bryan Lim, Jer Shyuan Ng

Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices

Xuan Shen, Geng Yuan, Wei Niu, Xiaolong Ma, Jiexiong Guan

Connect Multi-Agent Path Finding: Generation and Visualization

Arthur Queffelec, Ocan Sankur, François Schwarzentruber

VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance

Spyridon Paraschos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas

A Compression-Compilation Framework for On-mobile Real-time BERT Applications

Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan

InfOCF-Web: An Online Tool for Nonmonotonic Reasoning with Conditionals and Ranking Functions

Steven Kutsch, Christoph Beierle

ConvLogMiner: A Real-Time Conversational Lifelog Miner

Pei-Wei Kao, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen

HIVE: Hierarchical Information Visualization for Explainability

Yi-Ning Juan, Yi-Shyuan Chiang, Shang-Chuan Liu, Ming-Feng Tsai, Chuan-Ju Wang

Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem

Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso

Web Interoperability for Ontology Development and Support with crowd 2.0

German Braun, Giuliano Marinelli, Emiliano Rios Gavagnin, Laura Cecchi, Pablo Fillottrani

A Neural Network Auction For Group Decision Making Over a Continuous Space

Yoram Bachrach, Ian Gemp, Marta Garnelo, János Kramár, Tom Eccles

Towards Fair and Transparent Algorithmic Systems

Yair Zick

Alleviating Road Traffic Congestion with Artificial Intelligence

Guni Sharon

Towards a New Generation of Cognitive Diagnosis

Qi Liu

Width-Based Algorithms for Common Problems in Control, Planning and Reinforcement Learning

Nir Lipovetzky

Safe Weakly Supervised Learning

Yu-feng Li

Intelligent and Learning Agents: Four Investigations

Shivaram Kalyanakrishnan

Adaptive Experimental Design for Optimizing Combinatorial Structures

Janardhan Rao Doppa

From Computational Social Choice to Digital Democracy

Markus Brill

Anomaly Mining - Past, Present and Future

Leman Akoglu

Self-Adaptive Swarm System (SASS)

Qin Yang

An Automated Framework for Supporting Data-Governance Rule Compliance in Decentralized MIMO Contexts

Rui Zhao

Learning and Planning Under Uncertainty for Green Security

Lily Xu

Adversarial Examples in Physical World

Jiakai Wang

Data Efficient Algorithms and Interpretability Requirements for Personalized Assessment of Taskable AI Systems

Pulkit Verma

Learning from Multimedia Data with Incomplete Information

Renshuai Tao

Continual Lifelong Learning for Intelligent Agents

Ghada Sokar

A Human-AI Teaming Approach for Incremental Taxonomy Learning from Text

Andrea Seveso, Fabio Mercorio, Mario Mezzanzanica

Sergio A. Serrano

Modeling Institutions in Socio-Ecosystems

Sitraka Oliva Raharivelo, Jean-Pierre Müller

Hardware-friendly Deep Learning by Network Quantization and Binarization

Haotong Qin

Towards an Explainer-agnostic Conversational XAI

Navid Nobani, Fabio Mercorio, Mario Mezzanzanica

On the Learnability of Knowledge in Multi-Agent Logics

Ionela G Mocanu

Combining Reinforcement Learning and Causal Models for Robotics Applications

Arquímides Méndez-Molina

Uncertain Time Series Classification

Michael Franklin Mbouopda

AI for Planning Public Health Interventions

Aditya Mate

Deep Reinforcement Learning with Hierarchical Structures

Siyuan Li

Nash Welfare in the Facility Location Problem

Alexander Lam

Planning and Reinforcement Learning for General-Purpose Service Robots

Yuqian Jiang

Robot Manipulation Learning Using Generative Adversarial Imitation Learning

Mohamed Khalil Jabri

An Information-Theoretic Approach on Causal Structure Learning for Heterogeneous Data Characteristics of Real-World Scenarios

Johannes Huegle

Towards Robust Dynamic Network Embedding

Chengbin Hou, Ke Tang

Safety Analysis of Deep Neural Networks

Dario Guidotti

Automated Facilitation Support in Online Forum

Wen Gu

Distributional Metareasoning for Heuristic Search

Tianyi Gu

Automatic Design of Heuristic Algorithms for Binary Optimization Problems

Marcelo de Souza

Multi-agent Approach to Resource Allocation in Autonomous Vehicle Fleets

Alaa Daoud

Bottleneck Identification to Semantic Segmentation of Industrial 3D Point Cloud Scene via Deep Learning

Romain Cazorla, Line Poinel, Panagiotis Papadakis, Cédric Buche

Greybox Algorithm Configuration

Marie Anastacio

Deep Residual Reinforcement Learning (Extended Abstract)

Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson

Semantic Linking Maps for Active Visual Object Search (Extended Abstract)

Zhen Zeng, Adrian Röfer, Odest Chadwicke Jenkins

TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract)

Carl Yang, Jieyu Zhang, Jiawei Han

Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild (Extended Abstract)

Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi

Speech Recognition Using RFID Tattoos (Extended Abstract)

Jingxian Wang, Chengfeng Pan, Haojian Jin, Vaibhav Singh, Yash Jain

Open Intent Extraction from Natural Language Interactions (Extended Abstract)

Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy

RAFT: Recurrent All-Pairs Field Transforms for Optical Flow (Extended Abstract)

Zachary Teed, Jia Deng

Imprecise Oracles Impose Limits to Predictability in Supervised Learning (Extended Abstract)

Anjali Sifar, Nisheeth Srivastava

Politeness for the Theory of Algebraic Datatypes (Extended Abstract)

Ying Sheng, Yoni Zohar, Christophe Ringeissen, Jane Lange, Pascal Fontaine

Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract)

Marco Tulio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh

Exploring the Effects of Goal Setting When Training for Complex Crowdsourcing Tasks (Extended Abstract)

Amy Rechkemmer, Ming Yin

Finding the Hardest Formulas for Resolution (Extended Abstract)

Tomáš Peitl, Stefan Szeider

Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions (Extended Abstract)

Harrie Oosterhuis, Maarten de Rijke

Controlling Fairness and Bias in Dynamic Learning-to-Rank (Extended Abstract)

Marco Morik, Ashudeep Singh, Jessica Hong, Thorsten Joachims

The Moodoo Library: Quantitative Metrics to Model How Teachers Make Use of the Classroom Space by Analysing Indoor Positioning Traces (Extended Abstract)

Roberto Martinez-Maldonado, Vanessa Echeverria, Katerina Mangaroska, Antonette Shibani, Gloria Fernandez-Nieto

On Learning Sets of Symmetric Elements (Extended Abstract)

Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya

Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search (Extended Abstract)

Stephan S. Lorenzen, Ninh Pham

On Sampled Metrics for Item Recommendation (Extended Abstract)

Walid Krichene, Steffen Rendle

Deep Drone Acrobatics (Extended Abstract)

Elia Kaufmann, Antonio Loquercio, Rene Ranftl, Matthias Müller, Vladlen Koltun

Successor-Invariant First-Order Logic on Classes of Bounded Degree (Extended Abstract)

Julien Grange

Mental Models of AI Agents in a Cooperative Game Setting (Extended Abstract)

Katy Ilonka Gero, Zahra Ashktorab, Casey Dugan, Qian Pan, James Johnson

Improved Guarantees and a Multiple-descent Curve for Column Subset Selection and the Nystrom Method (Extended Abstract)

Michał Dereziński, Rajiv Khanna, Michael W. Mahoney

Weaving a Semantic Web of Credibility Reviews for Explainable Misinformation Detection (Extended Abstract)

Ronald Denaux, Martino Mensio, José Manuel Gómez-Pérez, Harith Alani

Decentralized No-regret Learning Algorithms for Extensive-form Correlated Equilibria (Extended Abstract)

Andrea Celli, Alberto Marchesi, Gabriele Farina, Nicola Gatti

Robust Domain Adaptation: Representations, Weights and Inductive Bias (Extended Abstract)

Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Celine Hudelot

Abstract Cores in Implicit Hitting Set MaxSat Solving (Extended Abstract)

Jeremias Berg, Fahiem Bacchus, Alex Poole

Comparing Weak Admissibility Semantics to their Dung-style Counterparts (Extended Abstract)

Ringo Baumann, Gerhard Brewka, Markus Ulbricht

Defining the Semantics of Abstract Argumentation Frameworks through Logic Programs and Partial Stable Models (Extended Abstract)

Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna

Hierarchical Graph Traversal for Aggregate k Nearest Neighbors Search in Road Networks (Extended Abstract)

Tenindra Abeywickrama, Muhammad Aamir Cheema, Sabine Storandt

Cross-Domain Recommendation: Challenges, Progress, and Prospects

Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li

Topic Modelling Meets Deep Neural Networks: A Survey

He Zhao, Dinh Phung, Viet Huynh, Yuan Jin, Lan Du

Automated Machine Learning on Graphs: A Survey

Ziwei Zhang, Xin Wang, Wenwu Zhu

Deep Learning for Click-Through Rate Estimation

Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He

A Survey on Universal Adversarial Attack

Chaoning Zhang, Philipp Benz, Chenguo Lin, Adil Karjauv, Jing Wu

A Comparative Survey: Benchmarking for Pool-based Active Learning

Xueying Zhan, Huan Liu, Qing Li, Antoni B. Chan

Information-Theoretic Methods in Deep Neural Networks: Recent Advances and Emerging Opportunities

Shujian Yu, Luis Sanchez Giraldo, Jose Principe

Challenges and Opportunities of Building Fast GBDT Systems

Zeyi Wen, Qinbin Li, Bingsheng He, Bin CUI

Time Series Data Augmentation for Deep Learning: A Survey

Qingsong Wen, Liang Sun, Fan Yang, Xiaomin Song, Jingkun Gao

Graph Learning based Recommender Systems: A Review

Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng

A Survey on Low-Resource Neural Machine Translation

Rui Wang, Xu Tan, Renqian Luo, Tao Qin, Tie-yan Liu

Generalizing to Unseen Domains: A Survey on Domain Generalization

Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin

A Survey on Response Selection for Retrieval-based Dialogues

Chongyang Tao, Jiazhan Feng, Rui Yan, Wei Wu, Daxin Jiang

Tournaments in Computational Social Choice: Recent Developments

Warut Suksompong

A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI Interaction

Sarath Sreedharan, Anagha Kulkarni, David Smith, Subbarao Kambhampati

Qualitative Spatial and Temporal Reasoning: Current Status and Future Challenges

Michael Sioutis, Diedrich Wolter

Neural Temporal Point Processes: A Review

Oleksandr Shchur, Ali Caner Turkmen, Tim Januschowski, Stephan Günnemann