IJCAI 2023

851 papers

Generative Diffusion Models on Graphs: Methods and Applications

Chengyi Liu, Wenqi Fan, Yunqing Liu, Jiatong Li, Hang Li

Diffusion Models for Non-autoregressive Text Generation: A Survey

Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen

A Survey on Out-of-Distribution Evaluation of Neural NLP Models

Xinzhe Li, Ming Liu, Shang Gao, Wray Buntine

Curriculum Graph Machine Learning: A Survey

Haoyang Li, Xin Wang, Wenwu Zhu

Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges

Phuong Quynh Le, Meike Nauta, Van Bach Nguyen, Shreyasi Pathak, Jörg Schlötterer

A Survey on User Behavior Modeling in Recommender Systems

Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang

Towards Utilitarian Online Learning -- A Review of Online Algorithms in Open Feature Space

Yi He, Christian Schreckenberger, Heiner Stuckenschmidt, Xindong Wu

Graph-based Molecular Representation Learning

Zhichun Guo, kehan Guo, Bozhao Nan, Yijun Tian, Roshni G. Iyer

Survey on Online Streaming Continual Learning

Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet

A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges

Usman Gohar, Lu Cheng

A Survey on Dataset Distillation: Approaches, Applications and Future Directions

Jiahui Geng, Zongxiong Chen, Yuandou Wang, Herbert Woisetschlaeger, Sonja Schimmler

Game-theoretic Mechanisms for Eliciting Accurate Information

Boi Faltings

Machine Learning for Cutting Planes in Integer Programming: A Survey

Arnaud Deza, Elias B. Khalil

A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects

Yang Deng, Wenqiang Lei, Wai Lam, Tat-Seng Chua

Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs

Mingyang Chen, Wen Zhang, Yuxia Geng, Zezhong Xu, Jeff Z. Pan

Anti-unification and Generalization: A Survey

David M. Cerna, Temur Kutsia

Assessing and Enforcing Fairness in the AI Lifecycle

Roberta Calegari, Gabriel G. Castañé, Michela Milano, Barry O'Sullivan

Temporal Knowledge Graph Completion: A Survey

Borui Cai, Yong Xiang, Longxiang Gao, He Zhang, Yunfeng Li

Good Explanations in Explainable Artificial Intelligence (XAI): Evidence from Human Explanatory Reasoning

Ruth M.J. Byrne

Even If Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI

Saugat Aryal, Mark T. Keane

Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning

Honglu Zhou, Advith Chegu, Samuel S. Sohn, Zuohui Fu, Gerard de Melo

Unsupervised Deep Subgraph Anomaly Detection (Extended Abstract)

Zheng Zhang, Liang Zhao

Task Allocation on Networks with Execution Uncertainty (Extended Abstract)∗

Yao Zhang, Xiuzhen Zhang, Dengji Zhao

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

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

Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding (Extended Abstract)

Zhilu Wang, Chao Huang, Qi Zhu

Bounding the Family-Wise Error Rate in Local Causal Discovery Using Rademacher Averages (Extended Abstract)

Dario Simionato, Fabio Vandin

Translating Images into Maps (Extended Abstract)

Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden

Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract)

Jingshu Peng, Zhao Chen, Yingxia Shao, Yanyan Shen, Lei Chen

Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract)

Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani

Efficient Convex Optimization Requires Superlinear Memory (Extended Abstract)

Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant

Learning Causal Effects on Hypergraphs (Extended Abstract)

Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent Hecht

FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler (Extended Abstract)

Siting Liu, YUAN PU, Peiyu Liao, Hongzhong Wu, Rui Zhang

Finite-Trace Analysis of Stochastic Systems with Silent Transitions (Extended Abstract)

Sander J.J. Leemans, Fabrizio M. Maggi, Marco Montali

MV-Datalog+/-: Effective Rule-based Reasoning with Uncertain Observations (Extended Abstract)

Matthias Lanzinger, Stefano Sferrazza, Georg Gottlob

Finite Entailment of UCRPQs over ALC Ontologies (Extended Abstract)

Víctor Gutiérrez-Basulto, Albert Gutowski, Yazmín Ibáñez-García, Filip Murlak

Certified CNF Translations for Pseudo-Boolean Solving (Extended Abstract).

Stephan Gocht, Ruben Martins, Jakob Nordström, Andy Oertel

Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways (Extended Abstract)

Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, Michael Mathioudakis

Online Certification of Preference-Based Fairness for Personalized Recommender Systems (Extended Abstract)

Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier

Half-Positional Objectives Recognized by Deterministic Büchi Automata (Extended Abstract)

Patricia Bouyer, Antonio Casares, Mickael Randour, Pierre Vandenhove

Data-Driven Invariant Learning for Probabilistic Programs (Extended Abstract)

Jialu Bao, Nitesh Trivedi, Drashti Pathak, Justin Hsu, Subhajit Roy

Interactive Machine Learning Solutions for Acoustic Monitoring of Animal Wildlife in Biosphere Reserves

Thiago S. Gouvêa, Hannes Kath, Ilira Troshani, Bengt Lüers, Patricia P. Serafini

AI-Driven Sign Language Interpretation for Nigerian Children at Home

Ifeoma Nwogu, Roshan Peiris, Karthik Dantu, Ruchi Gamta, Emma Asonye

Learning and Reasoning Multifaceted and Longitudinal Data for Poverty Estimates and Livelihood Capabilities of Lagged Regions in Rural India

Atharva Kulkarni, Raya Das, Ravi S. Srivastava, Tanmoy Chakraborty

NutriAI: AI-Powered Child Malnutrition Assessment in Low-Resource Environments

Misaal Khan, Shivang Agarwal, Mayank Vatsa, Richa Singh, Kuldeep Singh

AI and Decision Support for Sustainable Socio-Ecosystems

Dimitri Justeau-Allaire

AI-Assisted Tool for Early Diagnosis and Prevention of Colorectal Cancer in Africa

Bushra Ibnauf, Mohammed Aboul Ezz, Ayman Abdel Aziz, Khalid Elgazzar, Mennatullah Siam

On AI-Assisted Pneumoconiosis Detection from Chest X-rays

Yasmeena Akhter, Rishabh Ranjan, Richa Singh, Mayank Vatsa, Santanu Chaudhury

Long-term Monitoring of Bird Flocks in the Wild

Kshitiz, Sonu Shreshtha, Ramy Mounir, Mayank Vatsa, Richa Singh

Optimization-driven Demand Prediction Framework for Suburban Dynamic Demand-Responsive Transport Systems

Louis Zigrand, Roberto Wolfler Calvo, Emiliano Traversi, Pegah Alizadeh

User-Centric Democratization towards Social Value Aligned Medical AI Services

Zhaonian Zhang, Richard Jiang

On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach

Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue

Long-term Wind Power Forecasting with Hierarchical Spatial-Temporal Transformer

Yang Zhang, Lingbo Liu, Xinyu Xiong, Guanbin Li, Guoli Wang

Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing

Ting Zhang, Zhuang Chen, Ming Zhong, Tieyun Qian

GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost

Qingcheng Zeng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua

Quality-agnostic Image Captioning to Safely Assist People with Vision Impairment

Lu Yu, Malvina Nikandrou, Jiali Jin, Verena Rieser

A Quantitative Game-theoretical Study on Externalities of Long-lasting Humanitarian Relief Operations in Conflict Areas

Kaiming Xiao, Haiwen Chen, Hongbin Huang, Lihua Liu, Jibing Wu

Full Scaling Automation for Sustainable Development of Green Data Centers

Shiyu Wang, Yinbo Sun, Xiaoming Shi, Zhu Shiyi, Lin-Tao Ma

Evaluating GPT-3 Generated Explanations for Hateful Content Moderation

Han Wang, Ming Shan Hee, Md Rabiul Awal, Kenny Tsu Wei Choo, Roy Ka-Wei Lee

Intensity-Valued Emotions Help Stance Detection of Climate Change Twitter Data

Apoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl

Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework

Elias Tragos, Diarmuid O'Reilly-Morgan, James Geraci, Bichen Shi, Barry Smyth

Optimizing Crop Management with Reinforcement Learning and Imitation Learning

Ran Tao, Pan Zhao, Jing Wu, Nicolas Martin, Matthew T. Harrison

Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian Response Entry Classification

Nicolò Tamagnone, Selim Fekih, Ximena Contla, Nayid Orozco, Navid Rekabsaz

Promoting Gender Equality through Gender-biased Language Analysis in Social Media

Gopendra Singh, Soumitra Ghosh, Asif Ekbal

Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves

Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu

AudioQR: Deep Neural Audio Watermarks For QR Code

Xinghua Qu, Xiang Yin, Pengfei Wei, Lu Lu, Zejun Ma

PARTNER: A Persuasive Mental Health and Legal Counselling Dialogue System for Women and Children Crime Victims

Priyanshu Priya, Kshitij Mishra, Palak Totala, Asif Ekbal

Balancing Social Impact, Opportunities, and Ethical Constraints of Using AI in the Documentation and Vitalization of Indigenous Languages

Claudio S. Pinhanez, Paulo Cavalin, Marisa Vasconcelos, Julio Nogima

Time Series of Satellite Imagery Improve Deep Learning Estimates of Neighborhood-Level Poverty in Africa

Markus B. Pettersson, Mohammad Kakooei, Julia Ortheden, Fredrik D. Johansson, Adel Daoud

Temporally Aligning Long Audio Interviews with Questions: A Case Study in Multimodal Data Integration

Piyush Singh Pasi, Karthikeya Battepati, Preethi Jyothi, Ganesh Ramakrishnan, Tanmay Mahapatra

Planning Multiple Epidemic Interventions with Reinforcement Learning

Anh Mai, Nikunj Gupta, Azza Abouzied, Dennis Shasha

Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network

Jiacheng Ma, Fan Li, Rui Zhang, Zhikang Xu, Dawei Cheng

A Prediction-and-Scheduling Framework for Efficient Order Transfer in Logistics

Wenjun Lyu, Haotian Wang, Yiwei Song, Yunhuai Liu, Tian He

Group Sparse Optimal Transport for Sparse Process Flexibility Design

Dixin Luo, Tingting Yu, Hongteng Xu

Coupled Point Process-based Sequence Modeling for Privacy-preserving Network Alignment

Dixin Luo, Haoran Cheng, Qingbin Li, Hongteng Xu

GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System

Xingyu Lu, Zhining Liu, Yanchu Guan, Hongxuan Zhang, Chenyi Zhuang

Customized Positional Encoding to Combine Static and Time-varying Data in Robust Representation Learning for Crop Yield Prediction

Qinqing Liu, Fei Dou, Meijian Yang, Ezana Amdework, Guiling Wang

Preventing Attacks in Interbank Credit Rating with Selective-aware Graph Neural Network

Junyi Liu, Dawei Cheng, changjun jiang

Interpret ESG Rating’s Impact on the Industrial Chain Using Graph Neural Networks

Bin Liu, Jiujun He, Ziyuan Li, Xiaoyang Huang, Xiang Zhang

SUSTAINABLESIGNALS: An AI Approach for Inferring Consumer Product Sustainability

Tong Lin, Tianliang Xu, Amit Zac, Sabina Tomkins

DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback

Junfan Lin, Yuying Zhu, Lingbo Liu, Yang Liu, Guanbin Li

Confidence-based Self-Corrective Learning: An Application in Height Estimation Using Satellite LiDAR and Imagery

Zhili Li, Yiqun Xie, Xiaowei Jia

Machine Learning Driven Aid Classification for Sustainable Development

Junho Lee, Hyeonho Song, Dongjoon Lee, Sundong Kim, Jisoo Sim

Unified Model for Crystalline Material Generation

Astrid Klipfel, Yaël Fregier, Adlane Sayede, Zied Bouraoui

Building a Personalized Messaging System for Health Intervention in Underprivileged Regions Using Reinforcement Learning

Sarah Kinsey, Jack Wolf, Nalini Saligram, Varun Ramesan, Meeta Walavalkar

For Women, Life, Freedom: A Participatory AI-Based Social Web Analysis of a Watershed Moment in Iran's Gender Struggles

Adel Khorramrouz, Sujan Dutta, Ashiqur R. KhudaBukhsh

Computationally Assisted Quality Control for Public Health Data Streams

Ananya Joshi, Kathryn Mazaitis, Roni Rosenfeld, Bryan Wilder

Decoding the Underlying Meaning of Multimodal Hateful Memes

Ming Shan Hee, Wen-Haw Chong, Roy Ka-Wei Lee

CGS: Coupled Growth and Survival Model with Cohort Fairness

Erhu He, Yue Wan, Benjamin H. Letcher, Jennifer H. Fair, Yiqun Xie

Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats

Lucia Gordon, Nikhil Behari, Samuel Collier, Elizabeth Bondi-Kelly, Jackson A. Killian

Sign Language-to-Text Dictionary with Lightweight Transformer Models

Jérôme Fink, Pierre Poitier, Maxime André, Loup Meurice, Benoît Frénay

Disentangling Societal Inequality from Model Biases: Gender Inequality in Divorce Court Proceedings

Sujan Dutta, Parth Srivastava, Vaishnavi Solunke, Swaprava Nath, Ashiqur R. KhudaBukhsh

Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare

Panayiotis Danassis, Shresth Verma, Jackson A. Killian, Aparna Taneja, Milind Tambe

Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models

Preetam Prabhu Srikar Dammu, Yunhe Feng, Chirag Shah

Towards Gender Fairness for Mental Health Prediction

Jiaee Cheong, Selim Kuzucu, Sinan Kalkan, Hatice Gunes

Supporting Sustainable Agroecological Initiatives for Small Farmers through Constraint Programming

Margot Challand, Philippe Vismara, Dimitri Justeau-Allaire, Stéphane de Tourdonnet

Fast and Differentially Private Fair Clustering

Junyoung Byun, Jaewook Lee

Toward Job Recommendation for All

Guillaume Bied, Solal Nathan, Elia Perennes, Morgane Hoffmann, Philippe Caillou

Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management

Muneeza Azmat, Malvern Madondo, Arun Bawa, Kelsey Dipietro, Raya Horesh

Fairness and Representation in Satellite-Based Poverty Maps: Evidence of Urban-Rural Disparities and Their Impacts on Downstream Policy

Emily Aiken, Esther Rolf, Joshua Blumenstock

Q&A: Query-Based Representation Learning for Multi-Track Symbolic Music re-Arrangement

Jingwei Zhao, Gus Xia, Ye Wang