IJCAI 2024

1,048 papers

Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint)

Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li

Weighted, Circular and Semi-Algebraic Proofs (Abstract Reprint)

Ilario Bonacina, Maria Luisa Bonet, Jordi Levy

Negative Human Rights as a Basis for Long-term AI Safety and Regulation (Abstract Reprint)

Ondrej Bajgar, Jan Horenovsky

Hybrid planning for challenging construction problems: An Answer Set Programming approach (Abstract Reprint)

Faseeh Ahmad, Volkan Patoglu, Esra Erdem

On the Complexity of Finding Set Repairs for Data-Graphs (Abstract Reprint)

Sergio Abriola, Maria Vanina Martinez, Nina Pardal, Santiago Cifuentes, Edwin Pin Baque

Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry (Extended Abstract)

Jonas Gregor Wiese, Lisa Wimmer, Theodore Papamarkou, Bernd Bischl, Stephan Guennemann

All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract)

Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan

Voting by Axioms (Extended Abstract)

Marie Christin Schmidtlein, Ulle Endriss

Content Matters: A Computational Investigation into the Effectiveness of Retrieval Practice and Worked Examples (Extended Abstract)

Napol Rachatasumrit, Paulo F. Carvalho, Sophie Li, Kenneth R. Koedinger

gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling (Extended Abstract)

Aleksandr V. Petrov, Craig Macdonald

Proof Logging for Smart Extensional Constraints (Extended Abstract)

Matthew J. McIlree, Ciaran McCreesh

MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract)

Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen

GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract)

Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang

POWL: Partially Ordered Workflow Language (Extended Abstract)

Humam Kourani, Sebastiaan van Zelst

A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract)

Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun

Defending Against Backdoor Attacks by Layer-wise Feature Analysis (Extended Abstract)

Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Yiming Li

Bagging is an Optimal PAC Learner (Extended Abstract)

Kasper Green Larsen

The Information Retrieval Experiment Platform (Extended Abstract)

Maik Fröbe, Jan Heinrich Reimer, Sean MacAvaney, Niklas Deckers, Simon Reich

Capturing (Optimal) Relaxed Plans with Stable and Supported Models of Logic Programs (Extended Abstract)

Masood Feyzbakhsh Rankooh, Tomi Janhunen

Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains (Extended Abstract)

Vishwaraj Doshi, Jie Hu, Do Young Eun

Streamlining Input/Output Logics with Sequent Calculi (Extended Abstract)

Agata Ciabattoni, Dmitry Rozplokhas

Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks (Extended Abstract)

Xinning Chen, Xuan Liu, Yanwen Ba, Shigeng Zhang, Bo Ding

Planning for Temporally Extended Goals in Pure-Past Linear Temporal Logic (Extended Abstract)

Luigi Bonassi, Giuseppe De Giacomo, Marco Favorito, Francesco Fuggitti, Alfonso Emilio Gerevini

Inferring Ontological Categories of OWL Classes Using Foundational Rules (Extended Abstract)

Pedro Paulo F. Barcelos, Tiago Prince Sales, Elena Romanenko, João Paulo A. Almeida, Gal Engelberg

Continual Learning with Pre-Trained Models: A Survey

Da-Wei Zhou, Hai-Long Sun, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan

More is Better: Deep Domain Adaptation with Multiple Sources

Sicheng Zhao, Hui Chen, Hu Huang, Pengfei Xu, guiguang ding

A Comprehensive Survey and Taxonomy on Point Cloud Registration Based on Deep Learning

Yu-Xin Zhang, Jie Gui, Xiaofeng Cong, Xin Gong, Wenbing Tao

Large Language Models for Time Series: A Survey

Xiyuan Zhang, Ranak Roy Chowdhury, Rajesh K. Gupta, Jingbo Shang

AI-Enhanced Virtual Reality in Medicine: A Comprehensive Survey

Yixuan Wu, Kaiyuan Hu, Danny Z. Chen, Jian Wu

A Survey on Efficient Federated Learning Methods for Foundation Model Training

Herbert Woisetschläger, Alexander Erben, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen

On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models

Xinpeng Wang, Shitong Duan, Xiaoyuan Yi, Jing Yao, Shanlin Zhou

Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models

Xindi Wang, Mahsa Salmani, Parsa Omidi, Xiangyu Ren, Mehdi Rezagholizadeh

A Survey on Extractive Knowledge Graph Summarization: Applications, Approaches, Evaluation, and Future Directions

Xiaxia Wang, Gong Cheng

A Survey on Rank Aggregation

Siyi Wang, Qi Deng, Shiwei Feng, Hong Zhang, Chao Liang

Recent Advances in Predictive Modeling with Electronic Health Records

Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong

A Survey of Constraint Formulations in Safe Reinforcement Learning

Akifumi Wachi, Xun Shen, Yanan Sui

Intelligent Agents for Auction-based Federated Learning: A Survey

Xiaoli Tang, Han Yu, Xiaoxiao Li, Sarit Kraus

A Systematic Survey on Federated Semi-supervised Learning

Zixing Song, Xiangli Yang, Yifei Zhang, Xinyu Fu, Zenglin Xu

Building Expressive and Tractable Probabilistic Generative Models: A Review

Sahil Sidheekh, Sriraam Natarajan

Supervised Algorithmic Fairness in Distribution Shifts: A Survey

Minglai Shao, Dong Li, Chen Zhao, Xintao Wu, Yujie Lin

A Survey on Network Alignment: Approaches, Applications and Future Directions

Shruti Saxena, Joydeep Chandra

Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges

Audrey Poinsot, Alessandro Leite, Nicolas Chesneau, Michele Sebag, Marc Schoenauer

A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents

Haoyi Niu, Jianming HU, Guyue Zhou, Xianyuan Zhan

Knowledge Distillation in Federated Learning: A Practical Guide

Alessio Mora, Irene Tenison, Paolo Bellavista, Irina Rish

X-former Elucidator: Reviving Efficient Attention for Long Context Language Modeling

Xupeng Miao, Shenhan Zhu, Fangcheng Fu, Ziyu Guo, Zhi Yang

Graph Neural Networks for Brain Graph Learning: A Survey

Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti

Label Leakage in Vertical Federated Learning: A Survey

Yige Liu, Yiwei Lou, Yang Liu, Yongzhi Cao, Hanpin Wang

Safety of Multimodal Large Language Models on Images and Text

Xin Liu, Yichen Zhu, Yunshi Lan, Chao Yang, Yu Qiao

Recent Advances in End-to-End Simultaneous Speech Translation

Xiaoqian Liu, Guoqiang Hu, Yangfan Du, Erfeng He, Yingfeng Luo

Budget Feasible Mechanisms: A Survey

Xiang Liu, Hau Chan, Minming Li, Weiwei Wu

A Survey of Graph Meets Large Language Model: Progress and Future Directions

Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun

Automated Essay Scoring: Recent Successes and Future Directions

Shengjie Li, Vincent Ng

A Survey of Data-Efficient Graph Learning

Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo

Empowering Time Series Analysis with Large Language Models: A Survey

Yushan Jiang, Zijie Pan, Xikun Zhang, Sahil Garg, Anderson Schneider

Robust Counterfactual Explanations in Machine Learning: A Survey

Junqi Jiang, Francesco Leofante, Antonio Rago, Francesca Toni

Strategic Aspects of Stable Matching Markets: A Survey

Hadi Hosseini, Shraddha Pathak

Social Learning through Interactions with Other Agents: A Survey

Dylan Hillier, Cheston Tan, Jing Jiang

A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation

Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B. Aditya Prakash

Large Language Model Based Multi-agents: A Survey of Progress and Challenges

Taicheng Guo, Xiuying Chen, Yaqi Wang, Ruidi Chang, Shichao Pei

A Survey on Neural Question Generation: Methods, Applications, and Prospects

Shasha Guo, Lizi Liao, Cuiping Li, Tat-Seng Chua

Recurrent Concept Drifts on Data Streams

Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet, Yun Sing Koh

A Survey of Multimodal Sarcasm Detection

Shafkat Farabi, Tharindu Ranasinghe, Diptesh Kanojia, Yu Kong, Marcos Zampieri

Lifted Planning: Recent Advances in Planning Using First-Order Representations

Augusto B. Corrêa, Giuseppe De Giacomo

A Survey of Robotic Language Grounding: Tradeoffs between Symbols and Embeddings

Vanya Cohen, Jason Xinyu Liu, Raymond Mooney, Stefanie Tellex, David Watkins

A Survey on Cross-Domain Sequential Recommendation

Shu Chen, Zitao Xu, Weike Pan, Qiang Yang, Zhong Ming

Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward

Arnav Chavan, Raghav Magazine, Shubham Kushwaha, Merouane Debbah, Deepak Gupta

Trends, Applications, and Challenges in Human Attention Modelling

Giuseppe Cartella, Marcella Cornia, Vittorio Cuculo, Alessandro D'Amelio, Dario Zanca

Guide to Numerical Experiments on Elections in Computational Social Choice

Niclas Boehmer, Piotr Faliszewski, Łukasz Janeczko, Andrzej Kaczmarczyk, Grzegorz Lisowski

Policy Space Response Oracles: A Survey

Ariyan Bighashdel, Yongzhao Wang, Stephen Mcaleer, Rahul Savani, Frans A. Oliehoek

A Survey on Plan Optimization

Pascal Bercher, Patrik Haslum, Christian Muise

Medical Neural Architecture Search: Survey and Taxonomy

Hadjer Benmeziane, Imane Hamzaoui, Zayneb Cherif, Kaoutar El Maghraoui

A Survey on Model-Free Goal Recognition

Leonardo Amado, Sveta Paster Shainkopf, Ramon Fraga Pereira, Reuth Mirsky, Felipe Meneguzzi

Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective

Tomu Tominaga, Naomi Yamashita, Takeshi Kurashima

ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments

Sören Schleibaum, Lu Feng, Sarit Kraus, Jörg P. Müller

Emergence of Social Norms in Generative Agent Societies: Principles and Architecture

Siyue Ren, Zhiyao Cui, Ruiqi Song, Zhen Wang, Shuyue Hu

From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News

Yuhan Liu, Xiuying Chen, Xiaoqing Zhang, Xing Gao, Ji Zhang

XAI-Lyricist: Improving the Singability of AI-Generated Lyrics with Prosody Explanations

Qihao Liang, Xichu Ma, Finale Doshi-velez, Brian Lim, Ye Wang

The Role of Perception, Acceptance, and Cognition in the Usefulness of Robot Explanations

Hana Kopecka, Jose Such, Michael Luck

A Goal-Directed Dialogue System for Assistance in Safety-Critical Application

Prakash Jamakatel, Rebecca De Venezia, Christian Muise, Jane Jean Kiam

Towards Proactive Interactions for In-Vehicle Conversational Assistants Utilizing Large Language Models

Huifang Du, Xuejing Feng, Jun Ma, Meng Wang, Shiyu Tao

Data Ownership and Privacy in Personalized AI Models in Assistive Healthcare

Boris Debic, Luka Medvidovic

Human-Agent Cooperation in Games under Incomplete Information through Natural Language Communication

Shenghui Chen, Daniel Fried, Ufuk Topcu

Are They the Same Picture? Adapting Concept Bottleneck Models for Human-AI Collaboration in Image Retrieval

Vaibhav Balloli, Sara Beery, Elizabeth Bondi-Kelly

Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt

Zhanjie Zhang, Quanwei Zhang, Huaizhong Lin, Wei Xing, Juncheng Mo

MusicMagus: Zero-Shot Text-to-Music Editing via Diffusion Models

Yixiao Zhang, Yukara Ikemiya, Gus Xia, Naoki Murata, Marco A. Martínez-Ramírez

DP-Font: Chinese Calligraphy Font Generation Using Diffusion Model and Physical Information Neural Network

Liguo Zhang, Yalong Zhu, Achref Benarab, Yusen Ma, Yuxin Dong

End-to-End Real-World Polyphonic Piano Audio-to-Score Transcription with Hierarchical Decoding

Wei Zeng, Xian He, Ye Wang

GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process

Yuqiu Xie, Bolin Jiang, Jiawei Li, Naiqi Li, Bin Chen

MuChin: A Chinese Colloquial Description Benchmark for Evaluating Language Models in the Field of Music

Zihao Wang, Shuyu Li, Tao Zhang, Qi Wang, Pengfei Yu

Retrieval Guided Music Captioning via Multimodal Prefixes

Nikita Srivatsan, Ke Chen, Shlomo Dubnov, Taylor Berg-Kirkpatrick

Expressing Musical Ideas with Constraint Programming Using a Model of Tonal Harmony

Damien Sprockeels, Peter Van Roy

A Conflict-Embedded Narrative Generation Using Commonsense Reasoning

Youngrok Song, Gunhee Cho, Hyunju Kim, Youngjune Kim, Byung-Chull Bae

Disrupting Diffusion-based Inpainters with Semantic Digression

Geonho Son, Juhun Lee, Simon S. Woo

Musical Phrase Segmentation via Grammatical Induction

Reed Perkins, Dan Ventura

From Pixels to Metal: AI-Empowered Numismatic Art

Penousal Machado, Tiago Martins, João Correia, Luís Espírito Santo, Nuno Lourenço

Re-creation of Creations: A New Paradigm for Lyric-to-Melody Generation

Ang Lv, Xu Tan, Tao Qin, Tie-yan Liu, Rui Yan

Inferring Iterated Function Systems Approximately from Fractal Images

Haotian Liu, Dixin Luo, Hongteng Xu

Arrange, Inpaint, and Refine: Steerable Long-term Music Audio Generation and Editing via Content-based Controls

Liwei Lin, Gus Xia, Yixiao Zhang, Junyan Jiang

Perception-Inspired Graph Convolution for Music Understanding Tasks

Emmanouil Karystinaios, Francesco Foscarin, Gerhard Widmer

Paintings and Drawings Aesthetics Assessment with Rich Attributes for Various Artistic Categories

Xin Jin, Qianqian Qiao, Yi Lu, Huaye Wang, Shan Gao