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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
12576 - 12600 of 15374 items
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