IJCAI 2023

851 papers

NAS-FM: Neural Architecture Search for Tunable and Interpretable Sound Synthesis Based on Frequency Modulation

Zhen Ye, Wei Xue, Xu Tan, Qifeng Liu, Yike Guo

DiffuseStyleGesture: Stylized Audio-Driven Co-Speech Gesture Generation with Diffusion Models

Sicheng Yang, Zhiyong Wu, Minglei Li, Zhensong Zhang, Lei Hao

Learn and Sample Together: Collaborative Generation for Graphic Design Layout

Haohan Weng, Danqing Huang, Tong Zhang, Chin-Yew Lin

Discrete Diffusion Probabilistic Models for Symbolic Music Generation

Matthias Plasser, Silvan Peter, Gerhard Widmer

IberianVoxel: Automatic Completion of Iberian Ceramics for Cultural Heritage Studies

Pablo Navarro, Celia Cintas, Manuel Lucena, José Manuel Fuertes, Antonio Rueda

Collaborative Neural Rendering Using Anime Character Sheets

Zuzeng Lin, Ailin Huang, Zhewei Huang

Automating Rigid Origami Design

Jeremia Geiger, Karolis Martinkus, Oliver Richter, Roger Wattenhofer

Towards Symbiotic Creativity: A Methodological Approach to Compare Human and AI Robotic Dance Creations

Allegra De Filippo, Luca Giuliani, Eleonora Mancini, Andrea Borghesi, Paola Mello

Graph-based Polyphonic Multitrack Music Generation

Emanuele Cosenza, Andrea Valenti, Davide Bacciu

TeSTNeRF: Text-Driven 3D Style Transfer via Cross-Modal Learning

Jiafu Chen, Boyan Ji, Zhanjie Zhang, Tianyi Chu, Zhiwen Zuo

The ACCompanion: Combining Reactivity, Robustness, and Musical Expressivity in an Automatic Piano Accompanist

Carlos Cancino-Chacón, Silvan Peter, Patricia Hu, Emmanouil Karystinaios, Florian Henkel

Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition

Renaud Bougueng Tchemeube, Jeffrey Ens, Cale Plut, Philippe Pasquier, Maryam Safi

Max Markov Chain

Yu Zhang, Mitchell Bucklew

Quantifying Consistency and Information Loss for Causal Abstraction Learning

Fabio Massimo Zennaro, Paolo Turrini, Theodoros Damoulas

Safe Reinforcement Learning via Probabilistic Logic Shields

Wen-Chi Yang, Giuseppe Marra, Gavin Rens, Luc De Raedt

The Hardness of Reasoning about Probabilities and Causality

Benito van der Zander, Markus Bläser, Maciej Liśkiewicz

Finding an ϵ-Close Minimal Variation of Parameters in Bayesian Networks

Bahare Salmani, Joost-Pieter Katoen

Distributional Multi-Objective Decision Making

Willem Röpke, Conor F. Hayes, Patrick Mannion, Enda Howley, Ann Nowe

Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences

Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang

Approximate Inference in Logical Credal Networks

Radu Marinescu, Haifeng Qian, Alexander Gray, Debarun Bhattacharjya, Francisco Barahona

Stability and Generalization of lp-Regularized Stochastic Learning for GCN

SHIYU LIU, Linsen Wei, shaogao lv, Ming Li

On the Complexity of Counterfactual Reasoning

Yunqiu Han, Yizuo Chen, Adnan Darwiche

Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models

Debarun Bhattacharjya, Oktie Hassanzadeh, Ronny Luss, Keerthiram Murugesan

A Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm III (NSGA-III)

Simon Wietheger, Benjamin Doerr

A Fast Maximum k-Plex Algorithm Parameterized by the Degeneracy Gap

Zhengren Wang, Yi Zhou, Chunyu Luo, Mingyu Xiao

PathLAD+: An Improved Exact Algorithm for Subgraph Isomorphism Problem

Yiyuan Wang, Chenghou Jin, Shaowei Cai, Qingwei Lin

Front-to-End Bidirectional Heuristic Search with Consistent Heuristics: Enumerating and Evaluating Algorithms and Bounds

Lior Siag, Shahaf Shperberg, Ariel Felner, Nathan Sturtevant

Levin Tree Search with Context Models

Laurent Orseau, Marcus Hutter, Levi H. S. Lelis

A Refined Upper Bound and Inprocessing for the Maximum K-plex Problem

Hua Jiang, Fusheng Xu, Zhifei Zheng, Bowen Wang, Wei Zhou

An Exact Algorithm for the Minimum Dominating Set Problem

Hua Jiang, Zhifei Zheng

Exploring Structural Similarity in Fitness Landscapes via Graph Data Mining: A Case Study on Number Partitioning Problems

Mingyu Huang, Ke Li

Parameterized Local Search for Max c-Cut

Jaroslav Garvardt, Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz

Sorting and Hypergraph Orientation under Uncertainty with Predictions

Thomas Erlebach, Murilo de Lima, Nicole Megow, Jens Schlöter

Efficient Object Search in Game Maps

Jinchun Du, Bojie Shen, Shizhe Zhao, Muhammad Aamir Cheema, Adel Nadjaran Toosi

Diverse Approximations for Monotone Submodular Maximization Problems with a Matroid Constraint

Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann

Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise

Matthieu Dinot, Benjamin Doerr, Ulysse Hennebelle, Sebastian Will

On Optimal Strategies for Wordle and General Guessing Games

Michael Cunanan, Michael Thielscher

Complex Contagion Influence Maximization: A Reinforcement Learning Approach

Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice

The First Proven Performance Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization Problem

Sacha Cerf, Benjamin Doerr, Benjamin Hebras, Yakob Kahane, Simon Wietheger

Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms

Chao Bian, Yawen Zhou, Miqing Li, Chao Qian

Multi-Robot Coordination and Layout Design for Automated Warehousing

Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li

Learning to Self-Reconfigure for Freeform Modular Robots via Altruism Proximal Policy Optimization

Lei Wu, Bin Guo, Qiuyun Zhang, Zhuo Sun, Jieyi Zhang

Learning to Act for Perceiving in Partially Unknown Environments

Leonardo Lamanna, Mohamadreza Faridghasemnia, Alfonso Gerevini, Alessandro Saetti, Alessandro Saffiotti

A Rigorous Risk-aware Linear Approach to Extended Markov Ratio Decision Processes with Embedded Learning

Alexander Zadorojniy, Takayuki Osogami, Orit Davidovich

Online Task Assignment with Controllable Processing Time

Ruoyu Wu, Wei Bao, Liming Ge

Optimal Decision Tree Policies for Markov Decision Processes

Daniël Vos, Sicco Verwer

Formal Explanations of Neural Network Policies for Planning

Renee Selvey, Alban Grastien, Sylvie Thiébaux

Model Predictive Control with Reach-avoid Analysis

Dejin Ren, Wanli Lu, Jidong Lv, Lijun Zhang, Bai Xue

Topological Planning with Post-unique and Unary Actions

Guillaume Prévost, Stéphane Cardon, Tristan Cazenave, Christophe Guettier, Eric Jacopin

Can I Really Do That? Verification of Meta-Operators via Stackelberg Planning

Florian Pham, Álvaro Torralba

Generalization through Diversity: Improving Unsupervised Environment Design

Wenjun Li, Pradeep Varakantham, Dexun Li

Recursive Small-Step Multi-Agent A* for Dec-POMDPs

Wietze Koops, Nils Jansen, Sebastian Junges, Thiago D. Simão

Action Space Reduction for Planning Domains

Harsha Kokel, Junkyu Lee, Michael Katz, Kavitha Srinivas, Shirin Sohrabi

Mean Payoff Optimization for Systems of Periodic Service and Maintenance

David Klaška, Antonín Kučera, Vít Musil, Vojtěch Řehák

Helpful Information Sharing for Partially Informed Planning Agents

Sarah Keren, David Wies, Sara Bernardini

K∗ Search over Orbit Space for Top-k Planning

Michael Katz, Junkyu Lee

Simulation-Assisted Optimization for Large-Scale Evacuation Planning with Congestion-Dependent Delays

Kazi Ashik Islam, Da Qi Chen, Madhav Marathe, Henning Mortveit, Samarth Swarup

On the Study of Curriculum Learning for Inferring Dispatching Policies on the Job Shop Scheduling

Zangir Iklassov, Dmitrii Medvedev, Ruben Solozabal Ochoa de Retana, Martin Takac

On the Compilability of Bounded Numeric Planning

Nicola Gigante, Enrico Scala

Minimizing Reachability Times on Temporal Graphs via Shifting Labels

Argyrios Deligkas, Eduard Eiben, George Skretas

DiSProD: Differentiable Symbolic Propagation of Distributions for Planning

Palash Chatterjee, Ashutosh Chapagain, Weizhe Chen, Roni Khardon

COOL, a Context Outlooker, and Its Application to Question Answering and Other Natural Language Processing Tasks

Fangyi Zhu, See-Kiong Ng, Stéphane Bressan

Learning Few-shot Sample-set Operations for Noisy Multi-label Aspect Category Detection

Shiman Zhao, Wei Chen, Tengjiao Wang

Genetic Prompt Search via Exploiting Language Model Probabilities

Jiangjiang Zhao, Zhuoran Wang, Fangchun Yang

NerCo: A Contrastive Learning Based Two-Stage Chinese NER Method

Zai Zhang, Bin Shi, Haokun Zhang, Huang Xu, Yaodong Zhang

Exploring Effective Inter-Encoder Semantic Interaction for Document-Level Relation Extraction

Liang Zhang, Zijun Min, Jinsong Su, Pei Yu, Ante Wang

Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding

Mingliang Zhai, Yulin Li, Xiameng Qin, Chen Yi, Qunyi Xie

Efficient Sign Language Translation with a Curriculum-based Non-autoregressive Decoder

Pei Yu, Liang Zhang, Biao Fu, Yidong Chen

TITAN : Task-oriented Dialogues with Mixed-Initiative Interactions

Sitong Yan, Shengli Song, Jingyang Li, Shiqi Meng, Guangneng Hu

Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video

Zenan Xu, Xiaojun Meng, Yasheng Wang, Qinliang Su, Zexuan Qiu

Beyond Pure Text: Summarizing Financial Reports Based on Both Textual and Tabular Data

Ziao Wang, Zelin Jiang, Xiaofeng Zhang, Jaehyeon Soon, Jialu Zhang

Privacy-Preserving End-to-End Spoken Language Understanding

Yinggui Wang, Wei Huang, Le Yang

PasCore: A Chinese Overlapping Relation Extraction Model Based on Global Pointer Annotation Strategy

Peng Wang, Jiafeng Xie, Xiye Chen, Guozheng Li, Wei Li

SQuAD-SRC: A Dataset for Multi-Accent Spoken Reading Comprehension

Yixuan Tang, Anthony K.H: Tung

Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations?

Jingyuan Sun, Marie-Francine Moens

Case-Based Reasoning with Language Models for Classification of Logical Fallacies

Zhivar Sourati, Filip Ilievski, Hông-Ân Sandlin, Alain Mermoud

Learning to Speak from Text: Zero-Shot Multilingual Text-to-Speech with Unsupervised Text Pretraining

Takaaki Saeki, Soumi Maiti, Xinjian Li, Shinji Watanabe, Shinnosuke Takamichi

ODEE: A One-Stage Object Detection Framework for Overlapping and Nested Event Extraction

Jinzhong Ning, Zhihao Yang, Zhizheng Wang, Yuanyuan Sun, Hongfei Lin

Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification

Menglong Lu, Zhen Huang, Zhiliang Tian, Yunxiang Zhao, Xuanyu Fei

PPAT: Progressive Graph Pairwise Attention Network for Event Causality Identification

Zhenyu Liu, Baotian Hu, Zhenran Xu, Min Zhang

Local and Global: Temporal Question Answering via Information Fusion

Yonghao Liu, Di Liang, Mengyu Li, Fausto Giunchiglia, Ximing Li

iRe2f: Rethinking Effective Refinement in Language Structure Prediction via Efficient Iterative Retrospecting and Reasoning

Zuchao Li, Xingyi Guo, Letian Peng, Lefei Zhang, Hai Zhao

Annealing Genetic-based Preposition Substitution for Text Rubbish Example Generation

Chen Li, Xinghao Yang, Baodi Liu, Weifeng Liu, Honglong Chen

Towards Lossless Head Pruning through Automatic Peer Distillation for Language Models

Bingbing Li, Zigeng Wang, Shaoyi Huang, Mikhail Bragin, Ji Li

Towards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer

Wenjun Ke, Zongkai Tian, Qi Liu, Peng Wang, Jinhua Gao

ScriptWorld: Text Based Environment for Learning Procedural Knowledge

Abhinav Joshi, Areeb Ahmad, Umang Pandey, Ashutosh Modi

Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation

Songhao Jiang, Yan Chu, Zhengkui Wang, Tianxing Ma, Hanlin Wang

Cross-Modal Global Interaction and Local Alignment for Audio-Visual Speech Recognition

Yuchen Hu, Ruizhe Li, Chen Chen, Heqing Zou, Qiushi Zhu

SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inference

Boren Hu, Yun Zhu, Jiacheng Li, Siliang Tang

Regularisation for Efficient Softmax Parameter Generation in Low-Resource Text Classifiers

Daniel Grießhaber, Johannes Maucher, Ngoc Thang Vu

KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation

Yuxi Feng, Xiaoyuan Yi, Laks V.S. Lakshmanan, Xing Xie

Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation

Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao

One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER

Xiang Chen, Lei Li, Shuofei Qiao, Ningyu Zhang, Chuanqi Tan

An Effective and Efficient Time-aware Entity Alignment Framework via Two-aspect Three-view Label Propagation

Li Cai, Xin Mao, Youshao Xiao, Changxu Wu, Man Lan

Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering

Meikai Bao, Qi Liu, Kai Zhang, Ye Liu, Linan Yue

MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation

Yiheng Zhu, Zhenqiu Ouyang, Ben Liao, Jialu Wu, Yixuan Wu

Deep Hashing-based Dynamic Stock Correlation Estimation via Normalizing Flow

Xiaolin Zheng, Mengpu Liu, Mengying Zhu

SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein–Protein Interaction Prediction

Ziyuan Zhao, Peisheng Qian, Xulei Yang, Zeng Zeng, Cuntai Guan

Towards Generalizable Reinforcement Learning for Trade Execution

Chuheng Zhang, Yitong Duan, Xiaoyu Chen, Jianyu Chen, Jian Li

Realistic Cell Type Annotation and Discovery for Single-cell RNA-seq Data

Yuyao Zhai, Liang Chen, Minghua Deng