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FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Privacy-Preserving Technologies in Data Open access
Xinyuan Ji, Zhaowei Zhu, Xi Wei, Olga Gadyatskaya, Zilong Song, Yang Liu
31citations -
COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering2023 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Multimodal Machine Learning Applications Open access
Mingrui Lao, Nan Pu, Yu Liu, Kai He, Erwin M. Bakker, Michael S. Lew
22citations -
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Topic Modeling Open access
Shen Gao, Zhengliang Shi, Minghang Zhu, Xin Xin, Pengjie Ren, Zhumin Chen, +1 more
16citations -
Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions2023 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Advanced Graph Neural Networks Open access
Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Toyotaro Suzumura, Manish Singh
8citations -
ExcluIR: Exclusionary Neural Information Retrieval2025 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Information Retrieval and Search Behavior Open access
Wen-Hao Zhang, Mengqi Zhang, Shiguang Wu, Jiahuan Pei, Zhaochun Ren, Maarten de Rijke, +2 more
8citations -
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Parallel Computing and Optimization Techniques Open access
Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci
4citations -
Combining Slow and Fast: Complementary Filtering for Dynamics Learning2023 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Reinforcement Learning in Robotics Open access
Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch, Sebastian Trimpe
2citations -
Exact Inference for Continuous-Time Gaussian Process Dynamics2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Gaussian Processes and Bayesian Inference Open access
Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche, Sebastian Trimpe
2citations -
Self-Supervised Learning Based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation2026 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Qin Wang, Alessio Quercia, Benjamin Bruns, Abigail Morrison, Hanno Scharr, Kai Krajsek
1citations -
Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series2026 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Machine Learning and Data Classification Open access
Erfan Moeini, Christopher Vox, Marie Anastacio, Wadie Skaf, Mitra Baratchi, Holger H. Hoos
0citations