IJCAI 2022

862 papers

Text/Speech-Driven Full-Body Animation

Wenlin Zhuang, Jinwei Qi, Peng Zhang, Bang Zhang, Ping Tan

AutoVideo: An Automated Video Action Recognition System

Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding

Fine-tuning Deep Neural Networks by Interactively Refining the 2D Latent Space of Ambiguous Images

Jiafu Wei, Haoran Xie, Chia-Ming Chang, Xi Yang

VMAgent: A Practical Virtual Machine Scheduling Platform

Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua

ACTA 2.0: A Modular Architecture for Multi-Layer Argumentative Analysis of Clinical Trials

Benjamin Molinet, Santiago Marro, Elena Cabrio, Serena Villata, Tobias Mayer

The Good, the Bad, and the Explainer: A Tool for Contrastive Explanations of Text Classifiers

Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani, Andrea Seveso

AMICA: An Argumentative Search Engine for COVID-19 Literature

Marco Lippi, Francesco Antici, Gianfranco Brambilla, Evaristo Cisbani, Andrea Galassi

Real-Time Portrait Stylization on the Edge

Yanyu Li, Xuan Shen, Geng Yuan, Jiexiong Guan, Wei Niu

Sign-to-Speech Model for Sign Language Understanding: A Case Study of Nigerian Sign Language

Steven Kolawole, Opeyemi Osakuade, Nayan Saxena, Babatunde Kazeem Olorisade

PillGood: Automated and Interactive Pill Dispenser Using Facial Recognition for Safe and Personalized Medication

Jonghyeok Kim, Hosung Kwon, Jonghyeon Kim, Jinsoo Park, Soong-Un Choi

ExplainIt!: A Tool for Computing Robust Attributions of DNNs

Sumit Jha, Alvaro Velasquez, Rickard Ewetz, Laura Pullum, Susmit Jha

A Speech-driven Sign Language Avatar Animation System for Hearing Impaired Applications

Li Hu, Jiahui Li, Jiashuo Zhang, Qi Wang, Bang Zhang

CARBEN: Composite Adversarial Robustness Benchmark

Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho

Knowledge-Based News Event Analysis and Forecasting Toolkit

Oktie Hassanzadeh, Parul Awasthy, Ken Barker, Onkar Bhardwaj, Debarun Bhattacharjya

Interactive Reinforcement Learning for Symbolic Regression from Multi-Format Human-Preference Feedbacks

Laure Crochepierre, Lydia Boudjeloud-Assala, Vincent Barbesant

Itero: An Online Iterative Voting Application

Joseph Boudou, Rachael Colley, Umberto Grandi

Displaying Justifications for Collective Decisions

Arthur Boixel, Ulle Endriss, Oliviero Nardi

Together about Dementia

Nicklas Sindlev Andersen, Marco Chiarandini

Diffusion Incentives in Cooperative Games

Yao Zhang

Anomaly Explanation

Véronne Yepmo

Automatic Multimodal Emotion Recognition Using Facial Expression, Voice, and Text

Hélène Tran

Information Injection to Deep Learning Solutions in Knowledge Transfer

Paulina Tomaszewska

Adaptive Artificial Intelligence Scheduling Methods for Large-Scale, Stochastic, Industrial Applications

Pierre Tassel

A Model-Oriented Approach for Lifting Symmetry-Breaking Constraints in Answer Set Programming

Alice Tarzariol

Data-Efficient Algorithms and Neural Natural Language Processing: Applications in the Healthcare Domain

Heereen Shim

Towards Contextually Sensitive Analysis of Memes: Meme Genealogy and Knowledge Base

Victoria Sherratt

Transferability and Stability of Learning with Limited Labelled Data in Multilingual Text Document Classification

Branislav Pecher

Anchors Selection for Cross-lingual Embedding Alignment through Time

Filippo Pallucchini

Multivariate Times Series Classification Using Multichannel CNN

YongKyung Oh

Application of Neurosymbolic AI to Sequential Decision Making

Carlos Núñez-Molina

Engineering Socially-Oriented Autonomous Agents and Multiagent Systems

Nieves Montes

Equilibria in Strategic Nominee Selection

Grzegorz Lisowski

Scalable ML Methods to Optimize KPIs in Real-World Manufacturing Processes

Benjamin Kovács

Early Diagnosis of Lyme Disease by Recognizing Erythema Migrans Skin Lesion from Images Utilizing Deep Learning Techniques

Sk Imran Hossain

A Unified Framework for Intrinsic Evaluation of Word-Embedding Algorithms

Anna Giabelli

Decentralized Autonomous Organizations and Multi-agent Systems for Artificial Intelligence Applications and Data Analysis

Sante Dino Facchini

Decomposition Methods for Solving Scheduling Problem Using Answer Set Programming

Mohammed M. S. El-Kholany

Building a Visual Semantics Aware Object Hierarchy

Xiaolei Diao

KRAKEN: A Novel Semantic-Based Approach for Keyphrases Extraction

Simone D'Amico

Hybrid Learning System for Large-scale Medical Image Analysis

Zehua Cheng, Lianlong Wu

Dynamic Bandits with Temporal Structure

Qinyi Chen

Extending Decision Tree to Handle Multiple Fairness Criteria

Alessandro Castelnovo

Towards New Optimized Artificial Immune Recognition Systems under the Belief Function Theory

Rihab Abdelkhalek

Mechanism Design Powered by Social Interactions: A Call to Arms

Dengji Zhao

Towards Theoretically Grounded Evolutionary Learning

Chao Qian

Controllable Text Generation for Open-Domain Creativity and Fairness

Nanyun (Violet) Peng

Counting, Sampling, and Synthesis: The Quest for Scalability

Kuldeep S. Meel

Interaction and Expressivity in Collective Decision-Making

Umberto Grandi

Integrating Machine Learning and Optimization to Boost Decision Making

Ferdinando Fioretto

Analyzing and Designing Strategic Environments in Social Domains

Hau Chan

Irrational, but Adaptive and Goal Oriented: Humans Interacting with Autonomous Agents

Amos Azaria

Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel (Extended Abstract)

Ye Zhu, Kai Ming Ting

Ethics and Governance of Artificial Intelligence: A Survey of Machine Learning Researchers (Extended Abstract)

Baobao Zhang, Markus Anderljung, Lauren Kahn, Noemi Dreksler, Michael C. Horowitz

Why Bad Coffee? Explaining BDI Agent Behaviour with Valuings (Extended Abstract)

Michael Winikoff, Galina Sidorenko, Virginia Dignum, Frank Dignum

Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks (Extended Abstract)*

Songül Tolan, Annarosa Pesole, Fernando Martínez-Plumed, Enrique Fernández-Macías, José Hernández-Orallo

A Theoretical Perspective on Hyperdimensional Computing (Extended Abstract)

Anthony Thomas, Sanjoy Dasgupta, Tajana Rosing

Abstraction for Non-Ground Answer Set Programs (Extended Abstract)

Zeynep G. Saribatur, Thomas Eiter, Peter Schüller

Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization (Extended Abstract)

Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl

Intelligence in Strategic Games (Extended Abstract)

Pavel Naumov, Yuan Yuan

sunny-as2: Enhancing SUNNY for Algorithm Selection (Extended Abstract)

Tong Liu, Roberto Amadini, Maurizio Gabbrielli, Jacopo Mauro

Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps (Extended Abstract)

Tobias Huber, Katharina Weitz, Elisabeth Andre, Ofra Amir

Dimensional Inconsistency Measures and Postulates in Spatio-Temporal Databases (Extended Abstract)

John Grant, Maria Vanina Martinez, Cristian Molinaro, Francesco Parisi

Experimental Comparison and Survey of Twelve Time Series Anomaly Detection Algorithms (Extended Abstract)

Cynthia Freeman, Jonathan Merriman, Ian Beaver, Abdullah Mueen

Abstraction in Data-Sparse Task Transfer (Extended Abstract)

Tesca Fitzgerald, Ashok Goel, Andrea Thomaz

Making Sense of Raw Input (Extended Abstract)

Richard Evans, Matko Bošnjak, Lars Buesing, Kevin Ellis, David Pfau

Situation Calculus for Controller Synthesis in Manufacturing Systems with First-Order State Representation (Extended Abstract)

Giuseppe De Giacomo, Paolo Felli, Brian Logan, Fabio Patrizi, Sebastian Sardina

On Quantifying Literals in Boolean Logic and its Applications to Explainable AI (Extended Abstract)

Adnan Darwiche, Pierre Marquis

Overlapping Communities and Roles in Networks with Node Attributes: Probabilistic Graphical Modeling, Bayesian Formulation and Variational Inference (Extended Abstract)

Gianni Costa, Riccardo Ortale

Bayesian Auctions with Efficient Queries (Extended Abstract)

Jing Chen, Bo Li, Yingkai Li, Pinyan Lu

On the First-Order Rewritability of Ontology-Mediated Queries in Linear Temporal Logic (Extended Abstract)

Alessandro Artale, Roman Kontchakov, Alisa Kovtunova, Vladislav Ryzhikov, Frank Wolter

A Survey on Neural Open Information Extraction: Current Status and Future Directions

Shaowen Zhou, Bowen Yu, Aixin Sun, Cheng Long, Jingyang Li

Towards Verifiable Federated Learning

Yanci Zhang, Han Yu

A Survey on Gradient Inversion: Attacks, Defenses and Future Directions

Rui Zhang, Song Guo, Junxiao Wang, Xin Xie, Dacheng Tao

Recent Advances and New Frontiers in Spiking Neural Networks

Duzhen Zhang, Shuncheng Jia, Qingyu Wang

Few-Shot Learning on Graphs

Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye

Recent Advances in Concept Drift Adaptation Methods for Deep Learning

Liheng Yuan, Heng Li, Beihao Xia, Cuiying Gao, Mingyue Liu

On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges

Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai

Recent Advances on Neural Network Pruning at Initialization

Huan Wang, Can Qin, Yue Bai, Yulun Zhang, Yun Fu

Vision-based Intention and Trajectory Prediction in Autonomous Vehicles: A Survey

Izzeddin Teeti, Salman Khan, Ajmal Shahbaz, Andrew Bradley, Fabio Cuzzolin

A Survey of Risk-Aware Multi-Armed Bandits

Vincent Y. F. Tan, Prashanth L.A., Krishna Jagannathan

Problem Compilation for Multi-Agent Path Finding: a Survey

Pavel Surynek

Data Valuation in Machine Learning: "Ingredients", Strategies, and Open Challenges

Rachael Hwee Ling Sim, Xinyi Xu, Bryan Kian Hsiang Low

Detecting and Understanding Harmful Memes: A Survey

Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino

Abstraction for Deep Reinforcement Learning

Murray Shanahan, Melanie Mitchell

A Survey of Machine Narrative Reading Comprehension Assessments

Yisi Sang, Xiangyang Mou, Jing Li, Jeffrey Stanton, Mo Yu

The Shapley Value in Machine Learning

Benedek Rozemberczki, Lauren Watson, Péter Bayer, Hao-Tsung Yang, Olivér Kiss

A Unified View of Relational Deep Learning for Drug Pair Scoring

Benedek Rozemberczki, Stephen Bonner, Andriy Nikolov, Michaël Ughetto, Sebastian Nilsson

Evaluation Methods for Representation Learning: A Survey

Kento Nozawa, Issei Sato

Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code

Changan Niu, Chuanyi Li, Bin Luo, Vincent Ng

Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?

Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz

Vision-and-Language Pretrained Models: A Survey

Siqu Long, Feiqi Cao, Soyeon Caren Han, Haiqin Yang

Survey on Graph Neural Network Acceleration: An Algorithmic Perspective

Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye

Neural Re-ranking in Multi-stage Recommender Systems: A Review

Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen

Goal-Conditioned Reinforcement Learning: Problems and Solutions

Minghuan Liu, Menghui Zhu, Weinan Zhang

Survey on Efficient Training of Large Neural Networks

Julia Gusak, Daria Cherniuk, Alena Shilova, Alexandr Katrutsa, Daniel Bershatsky

Who Says What to Whom: A Survey of Multi-Party Conversations

Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling

Deep Learning with Logical Constraints

Eleonora Giunchiglia, Mihaela Catalina Stoian, Thomas Lukasiewicz

Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey

Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck, Keyu Zhu

Legal Judgment Prediction: A Survey of the State of the Art

Yi Feng, Chuanyi Li, Vincent Ng

A Survey on Dialogue Summarization: Recent Advances and New Frontiers

Xiachong Feng, Xiaocheng Feng, Bing Qin