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IJCAI 2022

862 papers

A Survey on Machine Learning Approaches for Modelling Intuitive Physics

Jiafei Duan, Arijit Dasgupta, Jason Fischer, Cheston Tan

A Survey of Vision-Language Pre-Trained Models

Yifan Du, Zikang Liu, Junyi Li, Wayne Xin Zhao

Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks

Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou

Evidential Reasoning and Learning: a Survey

Federico Cerutti, Lance M. Kaplan, Murat Sensoy

Image-text Retrieval: A Survey on Recent Research and Development

Min Cao, Shiping Li, Juntao Li, Liqiang Nie, Min Zhang

A Survey on Word Meta-Embedding Learning

Danushka Bollegala, James O' Neill

Text Transformations in Contrastive Self-Supervised Learning: A Review

Amrita Bhattacharjee, Mansooreh Karami, Huan Liu

Fair Division of Indivisible Goods: A Survey

Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris

Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract)

Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin Winstanley

Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract)

Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang

Including Signed Languages in Natural Language Processing (Extended Abstract)

Kayo Yin, Malihe Alikhani

Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract)

Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou

The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication (Extended Abstract)

Blake Woodworth, Brian Bullins, Ohad Shamir, Nathan Srebro

Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies (Extended Abstract)

Paul Vicol, Luke Metz, Jascha Sohl-dickstein

Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract)

Matus Tomlein, Branislav Pecher, Jakub Simko, Ivan Srba, Robert Moro

ProtoAI: Model-Informed Prototyping for AI-Powered Interfaces (Extended Abstract)

Hariharan Subramonyam, Colleen Seifert, Eytan Adar

Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach (Extended Abstract)

Ashish Sharma, Inna W. Lin, Adam S. Miner, Dave C. Atkins, Tim Althoff

Computing Programs for Generalized Planning as Heuristic Search (Extended Abstract)

Javier Segovia-Aguas, Sergio Jiménez Celorrio, Anders Jonsson

Asymmetric Hybrids: Dialogues for Computational Concept Combination (Extended Abstract)

Guendalina Righetti, Daniele Porello, Nicolas Troquard, Oliver Kutz, Maria Hedblom

Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification (Extended Abstract)

Manolis Pitsikalis, Thanh-Toan Do, Alexei Lisitsa, Shan Luo

Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness (Extended Abstract)

Harrie Oosterhuis

Detect, Understand, Act: A Neuro-Symbolic Hierarchical Reinforcement Learning Framework (Extended Abstract)

Ludovico Mitchener, David Tuckey, Matthew Crosby, Alessandra Russo

Complex Query Answering with Neural Link Predictors (Extended Abstract)*

Pasquale Minervini, Erik Arakelyan, Daniel Daza, Michael Cochez

Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge (Extended Abstract)

Miguel Angel Lozano, Òscar Garibo-i-Orts, Eloy Piñol, Miguel Rebollo, Kristina Polotskaya

Combining Clause Learning and Branch and Bound for MaxSAT (Extended Abstract)

Chu-Min Li, Zhenxing Xu, Jordi Coll, Felip Manyà, Djamal Habet

Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent (Extended Abstract)

Frederik Kunstner, Raunak Kumar, Mark Schmidt

Allocating Opportunities in a Dynamic Model of Intergenerational Mobility (Extended Abstract)

Hoda Heidari, Jon Kleinberg

Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract)

Awni Hannun, Chuan Guo, Laurens van der Maaten

Scalable Anytime Planning for Multi-Agent MDPs (Extended Abstract)

Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer

Deep Cooperation of CDCL and Local Search for SAT (Extended Abstract)

Shaowei Cai, Xindi Zhang

Capturing Homomorphism-Closed Decidable Queries with Existential Rules (Extended Abstract)

Camille Bourgaux, David Carral, Markus Krötzsch, Sebastian Rudolph, Michaël Thomazo

Utilizing Treewidth for Quantitative Reasoning on Epistemic Logic Programs (Extended Abstract)

Viktor Besin, Markus Hecher, Stefan Woltran

Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract)

Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma

On the Expressivity of Markov Reward (Extended Abstract)

David Abel, Will Dabney, Anna Harutyunyan, Mark K. Ho, Michael L. Littman

Climate Bot: A Machine Reading Comprehension System for Climate Change Question Answering

Md Rashad Al Hasan Rony, Ying Zuo, Liubov Kovriguina, Roman Teucher, Jens Lehmann

Argo: Towards Small Vessel Detection for Humanitarian Purposes

Elisabeth Moser, Selina Meyer, Maximilian Schmidhuber, Daniel Ketterer, Matthias Eberhardt

Interactive concept-map based summaries for SEND children

Martina Galletti, Michael Anslow, Francesca Bianchi, Manuela Calanca, Donatella Tomaiuoli

A norm optimisation approach to SDGs: tackling poverty by acting on discrimination

Georgina Curto, Nieves Montes, Carles Sierra, Nardine Osman, Flavio Comim

Psychiatric Scale Guided Risky Post Screening for Early Detection of Depression

Zhiling Zhang, Siyuan Chen, Mengyue Wu, Kenny Q. Zhu

Conversational Inequality Through the Lens of Political Interruption

Clay H. Yoo, Jiachen Wang, Yuxi Luo, Kunal Khadilkar, Ashiqur R. KhudaBukhsh

Ranked Prioritization of Groups in Combinatorial Bandit Allocation

Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe

Sequential Vaccine Allocation with Delayed Feedback

Yichen Xiao, Han-Ching Ou, Haipeng Chen, Van Thieu Nguyen, Long Tran-Thanh

Quantifying Health Inequalities Induced by Data and AI Models

Honghan Wu, Aneeta Sylolypavan, Minhong Wang, Sarah Wild

Dynamic Structure Learning through Graph Neural Network for Forecasting Soil Moisture in Precision Agriculture

Anoushka Vyas, Sambaran Bandyopadhyay

Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy

Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores

Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process

Schyler C. Sun, Bailu Jin, Zhuangkun Wei, Weisi Guo

Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method

Prathyush Sambaturu, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Anil Vullikanti

CounterGeDi: A Controllable Approach to Generate Polite, Detoxified and Emotional Counterspeech

Punyajoy Saha, Kanishk Singh, Adarsh Kumar, Binny Mathew, Animesh Mukherjee

AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition

Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge

DiRe Committee : Diversity and Representation Constraints in Multiwinner Elections

Kunal Relia

Ownership Concentration and Wealth Inequality in Russia

Kirill Polovnikov, Nikita Pospelov, Dmitriy Skougarevskiy

ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria

Vineet Nair, Kritika Prakash, Michael Wilbur, Aparna Taneja, Corrine Namblard

Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers

Ashish Nair, Rahul Yadav, Anjali Gupta, Abhijnan Chakraborty, Sayan Ranu

A Reliability-aware Distributed Framework to Schedule Residential Charging of Electric Vehicles

Rounak Meyur, Swapna Thorve, Madhav Marathe, Anil Vullikanti, Samarth Swarup

Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All

Eirik Lund Flogard, Ole Jakob Mengshoel, Kerstin Bach

S2SNet: A Pretrained Neural Network for Superconductivity Discovery

Ke Liu, Kaifan Yang, Jiahong Zhang, Renjun Xu

Towards the Quantitative Interpretability Analysis of Citizens Happiness Prediction

Lin Li, Xiaohua Wu, Miao Kong, Dong Zhou, Xiaohui Tao

Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation Based COVID-19 Misinformation Detection

Ziyi Kou, Lanyu Shang, Yang Zhang, Zhenrui Yue, Huimin Zeng

AI Facilitated Isolations? The Impact of Recommendation-based Influence Diffusion in Human Society

Yuxuan Hu, Shiqing Wu, Chenting Jiang, Weihua Li, Quan Bai

Am I No Good? Towards Detecting Perceived Burdensomeness and Thwarted Belongingness from Suicide Notes

Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya

Monitoring Vegetation From Space at Extremely Fine Resolutions via Coarsely-Supervised Smooth U-Net

Joshua Fan, Di Chen, Jiaming Wen, Ying Sun, Carla Gomes

A Murder and Protests, the Capitol Riot, and the Chauvin Trial: Estimating Disparate News Media Stance

Sujan Dutta, Beibei Li, Daniel S. Nagin, Ashiqur R. KhudaBukhsh

Forecasting Patient Outcomes in Kidney Exchange

Naveen Durvasula, Aravind Srinivasan, John Dickerson

AggPose: Deep Aggregation Vision Transformer for Infant Pose Estimation

Xu Cao, Xiaoye Li, Liya Ma, Yi Huang, Xuan Feng

Chronic Disease Management with Personalized Lab Test Response Prediction

Suman Bhoi, Mong Li Lee, Wynne Hsu, Hao Sen Andrew Fang, Ngiap Chuan Tan

Deciphering Environmental Air Pollution with Large Scale City Data

Mayukh Bhattacharyya, Sayan Nag, Udita Ghosh

Learning Pollution Maps from Mobile Phone Images

Ankit Bhardwaj, Shiva Iyer, Yash Jalan, Lakshminarayanan Subramanian

Learning to Generate Poetic Chinese Landscape Painting with Calligraphy

Shaozu Yuan, Aijun Dai, Zhiling Yan, Ruixue Liu, Meng Chen

High-Resolution and Arbitrary-Sized Chinese Landscape Painting Creation Based on Generative Adversarial Networks

Peixiang Luo, Jinchao Zhang, Jie Zhou

Captioning Bosch: A Twitter Bot

Cornelia Ferner

Style Fader Generative Adversarial Networks for Style Degree Controllable Artistic Style Transfer

Zhiwen Zuo, lei zhao, Shuobin Lian, Haibo Chen, Zhizhong Wang

Composition-aware Graphic Layout GAN for Visual-Textual Presentation Designs

Min Zhou, Chenchen Xu, Ye Ma, Tiezheng Ge, Yuning Jiang

Music-to-Dance Generation with Optimal Transport

Shuang Wu, Shijian Lu, Li Cheng

DivSwapper: Towards Diversified Patch-based Arbitrary Style Transfer

Zhizhong Wang, lei zhao, Haibo Chen, Zhiwen Zuo, Ailin Li

Dataset Augmentation in Papyrology with Generative Models: A Study of Synthetic Ancient Greek Character Images

Matthew I. Swindall, Timothy Player, Ben Keener, Alex C. Williams, James H. Brusuelas

StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Translation

Peter Schaldenbrand, Zhixuan Liu, Jean Oh

Universal Video Style Transfer via Crystallization, Separation, and Blending

Haofei Lu, Zhizhong Wang

Automated Sifting of Stories from Simulated Storyworlds

Wilkins Leong, Julie Porteous, John Thangarajah

Threshold Designer Adaptation: Improved Adaptation for Designers in Co-creative Systems

Emily Halina, Matthew Guzdial

Art Creation with Multi-Conditional StyleGANs

Konstantin Dobler, Florian Hübscher, Jan Westphal, Alejandro Sierra-Múnera, Gerard de Melo

Towards Creativity Characterization of Generative Models via Group-Based Subset Scanning

Celia Cintas, Payel Das, Brian Quanz, Girmaw Abebe Tadesse, Skyler Speakman

Sound2Synth: Interpreting Sound via FM Synthesizer Parameters Estimation

Zui Chen, Yansen Jing, Shengcheng Yuan, Yifei Xu, Jian Wu

Tradformer: A Transformer Model of Traditional Music Transcriptions

Luca Casini, Bob L. T. Sturm

Deep Interactive Surface Creation from 3D Sketch Strokes

Sukanya Bhattacharjee, Parag Chaudhuri

DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework

Chao Zhang, Zhijian Li, Xin Du, Hui Qian

On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks

Huimin Zeng, Zhenrui Yue, Yang Zhang, Ziyi Kou, Lanyu Shang

Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits

Hjalmar Wijk, Benjie Wang, Marta Kwiatkowska

Linear Combinatorial Semi-Bandit with Causally Related Rewards

Behzad Nourani-Koliji, Saeed Ghoorchian, Setareh Maghsudi

Learning Cluster Causal Diagrams: An Information-Theoretic Approach

Xueyan Niu, Xiaoyun Li, Ping Li

Exchangeability-Aware Sum-Product Networks

Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

Hidden 1-Counter Markov Models and How to Learn Them

Mehmet Kurucan, Mete Özbaltan, Sven Schewe, Dominik Wojtczak

Empirical Bayesian Approaches for Robust Constraint-based Causal Discovery under Insufficient Data

Zijun Cui, Naiyu Yin, Yuru Wang, Qiang Ji

Ancestral Instrument Method for Causal Inference without Complete Knowledge

Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le

Summary Markov Models for Event Sequences

Debarun Bhattacharjya, Saurabh Sihag, Oktie Hassanzadeh, Liza Bialik

A Weighting-Based Tabu Search Algorithm for the p-Next Center Problem

Qingyun Zhang, Zhouxing Su, Zhipeng Lü, Lingxiao Yang

HEA-D: A Hybrid Evolutionary Algorithm for Diversified Top-k Weight Clique Search Problem

Jun Wu, Chu-Min Li, Yupeng Zhou, Minghao Yin, Xin Xu

Neural Network Pruning by Cooperative Coevolution

Haopu Shang, Jia-Liang Wu, Wenjing Hong, Chao Qian

Efficient Algorithms for Monotone Non-Submodular Maximization with Partition Matroid Constraint

Lan N. Nguyen, My T. Thai

Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables

Frank Neumann, Carsten Witt

Reinforcement Learning for Cross-Domain Hyper-Heuristics

Florian Mischek, Nysret Musliu