AAAI 2023

2,023 papers

Towards Robust Metrics for Concept Representation Evaluation

Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt

Learning to Play General-Sum Games against Multiple Boundedly Rational Agents

Eric Zhao, Alexander R. Trott, Caiming Xiong, Stephan Zheng

Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles

Xianghua Zeng, Hao Peng, Angsheng Li

DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement Learning

Tingting Yuan, Hwei-Ming Chung, Jie Yuan, Xiaoming Fu

Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers

Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen

Hierarchical Mean-Field Deep Reinforcement Learning for Large-Scale Multiagent Systems

Chao Yu

HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism

Zhiwei Xu, Yunpeng Bai, Bin Zhang, Dapeng Li, Guoliang Fan

Consensus Learning for Cooperative Multi-Agent Reinforcement Learning

Zhiwei Xu, Bin Zhang, Dapeng Li, Zeren Zhang, Guangchong Zhou

Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks

Pei Xu, Junge Zhang, Qiyue Yin, Chao Yu, Yaodong Yang

Emergence of Punishment in Social Dilemma with Environmental Feedback

Zhen Wang, Zhao Song, Chen Shen, Shuyue Hu

DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching

Caroline Wang, Ishan Durugkar, Elad Liebman, Peter Stone

Effective Integration of Weighted Cost-to-Go and Conflict Heuristic within Suboptimal CBS

Rishi Veerapaneni, Tushar Kusnur, Maxim Likhachev

Resource Sharing through Multi-Round Matchings

Yohai Trabelsi, Abhijin Adiga, Sarit Kraus, S. S. Ravi, Daniel J. Rosenkrantz

Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning

Qi Tian, Kun Kuang, Furui Liu, Baoxiang Wang

Networked Anti-coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence

Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz

LaCAM: Search-Based Algorithm for Quick Multi-Agent Pathfinding

Keisuke Okumura

Fault-Tolerant Offline Multi-Agent Path Planning

Keisuke Okumura, Sébastien Tixeuil

Socially Optimal Non-discriminatory Restrictions for Continuous-Action Games

Michael Oesterle, Guni Sharon

Memory-Augmented Theory of Mind Network

Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh

Formal Verification of Bayesian Mechanisms

Munyque Mittelmann, Bastien Maubert, Aniello Murano, Laurent Perrussel

Reconstructing an Epidemic Outbreak Using Steiner Connectivity

Ritwick Mishra, Jack Heavey, Gursharn Kaur, Abhijin Adiga, Anil Vullikanti

Learning to Shape Rewards Using a Game of Two Partners

David Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez-Nieves, Wenbin Song

Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition

Shunyu Liu, Yihe Zhou, Jie Song, Tongya Zheng, Kaixuan Chen

Solving Large-Scale Pursuit-Evasion Games Using Pre-trained Strategies

Shuxin Li, Xinrun Wang, Youzhi Zhang, Wanqi Xue, Jakub Černý

Intersection Coordination with Priority-Based Search for Autonomous Vehicles

Jiaoyang Li, The Anh Hoang, Eugene Lin, Hai L. Vu, Sven Koenig

Reward-Based Negotiating Agent Strategies

Ryota Higa, Katsuhide Fujita, Toki Takahashi, Takumu Shimizu, Shinji Nakadai

Multi-Unit Auctions for Allocating Chance-Constrained Resources

Anna Gautier, Bruno Lacerda, Nick Hawes, Michael Wooldridge

Zero-Shot Assistance in Sequential Decision Problems

Sebastiaan De Peuter, Samuel Kaski

Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient

Wubing Chen, Wenbin Li, Xiao Liu, Shangdong Yang, Yang Gao

Emergent Quantized Communication

Boaz Carmeli, Ron Meir, Yonatan Belinkov

The Multi-Agent Transportation Problem

Pascal Bachor, Rolf-David Bergdoll, Bernhard Nebel

Synchronization and Diversity of Solutions

Emmanuel Arrighi, Henning Fernau, Mateus de Oliveira Oliveira, Petra Wolf

Mixed-Variable Black-Box Optimisation Using Value Proposal Trees

Yan Zuo, Vu Nguyen, Amir Dezfouli, David Alexander, Benjamin Ward Muir

SVP-T: A Shape-Level Variable-Position Transformer for Multivariate Time Series Classification

Rundong Zuo, Guozhong Li, Byron Choi, Sourav S Bhowmick, Daphne Ngar-yin Mah

ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation

Qiran Zou, Yu Yang, Wing Yin Cheung, Chang Liu, Xiangyang Ji

Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA

Yongxin Zhu, Zhen Liu, Yukang Liang, Xin Li, Hao Liu

ContraFeat: Contrasting Deep Features for Semantic Discovery

Xinqi Zhu, Chang Xu, Dacheng Tao

Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization

Lin Zhu, Xinbing Wang, Chenghu Zhou, Nanyang Ye

Quantized Feature Distillation for Network Quantization

Ke Zhu, Yin-Yin He, Jianxin Wu

Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning

Zixian Zhou, Mengda Huang, Feiyang Pan, Jia He, Xiang Ao

Combining Adversaries with Anti-adversaries in Training

Xiaoling Zhou, Nan Yang, Ou Wu

Robust Temporal Smoothness in Multi-Task Learning

Menghui Zhou, Yu Zhang, Yun Yang, Tong Liu, Po Yang

SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies

Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Shiyu Wang

Does It Pay to Optimize AUC?

Baojian Zhou, Steven Skiena

Data Imputation with Iterative Graph Reconstruction

Jiajun Zhong, Ning Gui, Weiwei Ye

CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU

Zangwei Zheng, Pengtai Xu, Xuan Zou, Da Tang, Zhen Li

Multi-Level Confidence Learning for Trustworthy Multimodal Classification

Xiao Zheng, Chang Tang, Zhiguo Wan, Chengyu Hu, Wei Zhang

Adaptive Policy Learning for Offline-to-Online Reinforcement Learning

Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li

Fairness and Explainability: Bridging the Gap towards Fair Model Explanations

Yuying Zhao, Yu Wang, Tyler Derr

AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution

Yuxuan Zhao, Qi Sun, Zhuolun He, Yang Bai, Bei Yu

CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning

Yang Zhao, Jianwen Xie, Ping Li

Imbalanced Label Distribution Learning

Xingyu Zhao, Yuexuan An, Ning Xu, Jing Wang, Xin Geng

Tensorized Incomplete Multi-View Clustering with Intrinsic Graph Completion

Shuping Zhao, Jie Wen, Lunke Fei, Bob Zhang

Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS “Cold-Start”

Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou

Dynamic Heterogeneous Graph Attention Neural Architecture Search

Zeyang Zhang, Ziwei Zhang, Xin Wang, Yijian Qin, Zhou Qin

Scalable Bayesian Meta-Learning through Generalized Implicit Gradients

Yilang Zhang, Bingcong Li, Shijian Gao, Georgios B. Giannakis

Spectral Feature Augmentation for Graph Contrastive Learning and Beyond

Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King

High-Dimensional Dueling Optimization with Preference Embedding

Yangwenhui Zhang, Hong Qian, Xiang Shu, Aimin Zhou

Optimal Sparse Regression Trees

Rui Zhang, Rui Xin, Margo Seltzer, Cynthia Rudin

Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering

Pei Zhang, Siwei Wang, Liang Li, Changwang Zhang, Xinwang Liu

DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks

Lei Zhang, Xiaodong Yan, Jianshan He, Ruopeng Li, Wei Chu

Delving into the Adversarial Robustness of Federated Learning

Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu

FedALA: Adaptive Local Aggregation for Personalized Federated Learning

Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui XUE

Memorization Weights for Instance Reweighting in Adversarial Training

Jianfu Zhang, Yan Hong, Qibin Zhao

When Neural Networks Fail to Generalize? A Model Sensitivity Perspective

Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer

DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning

Hongchang Zhang, Jianzhun Shao, Shuncheng He, Yuhang Jiang, Xiangyang Ji

Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning

Guoxi Zhang, Hisashi Kashima

Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation

Daoan Zhang, Chenming Li, Haoquan Li, Wenjian Huang, Lingyun Huang

Denoising Multi-Similarity Formulation: A Self-Paced Curriculum-Driven Approach for Robust Metric Learning

Chenkang Zhang, Lei Luo, Bin Gu

Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering

Chao Zhang, Huaxiong Li, Wei Lv, Zizheng Huang, Yang Gao

Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees

Artjom Zern, Klaus Broelemann, Gjergji Kasneci

Acceleration of Large Transformer Model Training by Sensitivity-Based Layer Dropping

Yujie Zeng, Wenlong He, Ihor Vasyltsov, Jiali Pang, Lin Chen

Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment

Qiuhao Zeng, Wei Wang, Fan Zhou, Charles Ling, Boyu Wang

ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification

Liang Zeng, Lanqing Li, Ziqi Gao, Peilin Zhao, Jian Li

Substructure Aware Graph Neural Networks

DingYi Zeng, Wanlong Liu, Wenyu Chen, Li Zhou, Malu Zhang

Are Transformers Effective for Time Series Forecasting?

Ailing Zeng, Muxi Chen, Lei Zhang, Qiang Xu

Leveraging Structure for Improved Classification of Grouped Biased Data

Daniel Zeiberg, Shantanu Jain, Predrag Radivojac

Neural Integro-Differential Equations

Emanuele Zappala, Antonio H. de O. Fonseca, Andrew H. Moberly, Michael J. Higley, Chadi Abdallah

Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation

Sicong Zang, Shikui Tu, Lei Xu

Quantum Multi-Agent Meta Reinforcement Learning

Won Joon Yun, Jihong Park, Joongheon Kim

Learning Conflict-Noticed Architecture for Multi-Task Learning

Zhixiong Yue, Yu Zhang, Jie Liang

Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning

Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan

ODE-RSSM: Learning Stochastic Recurrent State Space Model from Irregularly Sampled Data

Zhaolin Yuan, Xiaojuan Ban, Zixuan Zhang, Xiaorui Li, Hong-Ning Dai

Joint Multimodal Entity-Relation Extraction Based on Edge-Enhanced Graph Alignment Network and Word-Pair Relation Tagging

Li Yuan, Yi Cai, Jin Wang, Qing Li

CEMA – Cost-Efficient Machine-Assisted Document Annotations

Guowen Yuan, Ben Kao, Tien-Hsuan Wu

Coordinate Descent Methods for DC Minimization: Optimality Conditions and Global Convergence

Ganzhao Yuan

High-Level Semantic Feature Matters Few-Shot Unsupervised Domain Adaptation

Lei Yu, Wanqi Yang, Shengqi Huang, Lei Wang, Ming Yang

Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching

Lantao Yu, Tianhe Yu, Jiaming Song, Willie Neiswanger, Stefano Ermon

Compressing Transformers: Features Are Low-Rank, but Weights Are Not!

Hao Yu, Jianxin Wu

Stable Learning via Sparse Variable Independence

Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin

Boosted Dynamic Neural Networks

Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, Humphrey Shi

STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations

Dayou Yu, Weishi Shi, Qi Yu

Priori Anchor Labels Supervised Scalable Multi-View Bipartite Graph Clustering

Jiali You, Zhenwen Ren, Xiaojian You, Haoran Li, Yuancheng Yao

Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes

Donghao Ying, Mengzi Amy Guo, Yuhao Ding, Javad Lavaei, Zuo-Jun Shen

GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer

Miao Yin, Burak Uzkent, Yilin Shen, Hongxia Jin, Bo Yuan

Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost

Lu Yin, Shiwei Liu, Meng Fang, Tianjin Huang, Vlado Menkovski

Random Walk Conformer: Learning Graph Representation from Long and Short Range

Pei-Kai Yeh, Hsi-Wen Chen, Ming-syan Chen

Certifiable Out-of-Distribution Generalization

Nanyang Ye, Lin Zhu, Jia Wang, Zhaoyu Zeng, Jiayao Shao

Continual Variational Autoencoder via Continual Generative Knowledge Distillation

Fei Ye, Adrian G. Bors

Lifelong Variational Autoencoder via Online Adversarial Expansion Strategy

Fei Ye, Adrian G. Bors