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Proceedings of the AAAI Conference on Artificial Intelligence
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Found 15374 items.
  • ASP-Based Declarative Process Mining

    Francesco Chiariello, Fabrizio Maria Maggi, Fabio Patrizi
    5539-5547
    2022-06-28
  • Sufficient Reasons for Classifier Decisions in the Presence of Domain Constraints

    Niku Gorji, Sasha Rubin
    5660-5667
    2022-06-28
  • Unit Selection with Causal Diagram

    Ang Li, Judea Pearl
    5765-5772
    2022-06-28
  • First Order Rewritability in Ontology-Mediated Querying in Horn Description Logics

    David Toman, Grant Weddell
    5897-5905
    2022-06-28
  • Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows

    Param Budhraja, Mayank Baranwal, Kunal Garg, Ashish Hota
    6115-6122
    2022-06-28
  • Locally Private k-Means Clustering with Constant Multiplicative Approximation and Near-Optimal Additive Error

    Anamay Chaturvedi, Matthew Jones, Huy Lê Nguyễn
    6167-6174
    2022-06-28
  • Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models

    Changyu Chen, Avinandan Bose, Shih-Fen Cheng, Arunesh Sinha
    6193-6201
    2022-06-28
  • Similarity Search for Efficient Active Learning and Search of Rare Concepts

    Cody Coleman, Edward Chou, Julian Katz-Samuels, Sean Culatana, Peter Bailis, Alexander C. Berg, Robert Nowak, Roshan Sumbaly, Matei Zaharia, I. Zeki Yalniz
    6402-6410
    2022-06-28
  • DiPS: Differentiable Policy for Sketching in Recommender Systems

    Aritra Ghosh, Saayan Mitra, Andrew Lan
    6703-6712
    2022-06-28
  • Balanced Self-Paced Learning for AUC Maximization

    Bin Gu, Chenkang Zhang, Huan Xiong, Heng Huang
    6765-6773
    2022-06-28
  • Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks

    Yijie Guo, Qiucheng Wu, Honglak Lee
    6792-6800
    2022-06-28
  • iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection

    Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee
    7104-7114
    2022-06-28
  • Optimal Tensor Transport

    Tanguy Kerdoncuff, Rémi Emonet, Michael Perrot, Marc Sebban
    7124-7132
    2022-06-28
  • Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization

    Pierre Liotet, Francesco Vidaich, Alberto Maria Metelli, Marcello Restelli
    7525-7533
    2022-06-28
  • Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning

    Giseung Park, Sungho Choi, Youngchul Sung
    7941-7948
    2022-06-28
  • Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance

    João P. B. Pereira, Erik S. G. Stroes, Aeilko H. Zwinderman, Evgeni Levin
    7984-7992
    2022-06-28
  • Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments

    Mitas Ray, Lillian J. Ratliff, Dmitriy Drusvyatskiy, Maryam Fazel
    8081-8088
    2022-06-28
  • Conditional Loss and Deep Euler Scheme for Time Series Generation

    Carl Remlinger, Joseph Mikael, Romuald Elie
    8098-8105
    2022-06-28
  • Offline Reinforcement Learning as Anti-exploration

    Shideh Rezaeifar, Robert Dadashi, Nino Vieillard, Léonard Hussenot, Olivier Bachem, Olivier Pietquin, Matthieu Geist
    8106-8114
    2022-06-28
  • FedSoft: Soft Clustered Federated Learning with Proximal Local Updating

    Yichen Ruan, Carlee Joe-Wong
    8124-8131
    2022-06-28
  • Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets

    Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang
    8584-8593
    2022-06-28
  • Seizing Critical Learning Periods in Federated Learning

    Gang Yan, Hao Wang, Jian Li
    8788-8796
    2022-06-28
  • MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning

    Baoquan Zhang, Xutao Li, Shanshan Feng, Yunming Ye, Rui Ye
    9014-9021
    2022-06-28
  • Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation

    Thien Q Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
    9614-9622
    2022-06-28
  • Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae

    Weilin Luo, Pingjia Liang, Jianfeng Du, Hai Wan, Bo Peng, Delong Zhang
    9849-9857
    2022-06-28
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