会议文集


文集名AAAI Technical Tracks (Machine Learning VI)
会议名38th AAAI Conference on Artificial Intelligence (AAAI-24), 36th Conference on Innovative Applications of Artificial Intelligence (IAAI-24), 14th Symposium on Educational Advances in Artificial Intelligence (EAAI-24)
中译名《第三十八届AAAI人工智能会议，第三十六届人工智能创新应用会议，第十四届人工智能教育进展讨论会，卷15-2》
机构Association for the Advancement of Artificial Intelligence (AAAI)
会议日期20-27 February 2024
会议地点Vancouver, Canada
出版年2024
馆藏号354015


题名作者出版年
Memory-Efficient Reversible Spiking Neural NetworksHong Zhang; Yu Zhang2024
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated LearningJianqing Zhang; Yang Liu; Yang Hua; Jian Cao2024
Reinforced Adaptive Knowledge Learning for Multimodal Fake News DetectionLitian Zhang; Xiaoming Zhang; Ziyi Zhou; Feiran Huang; Chaozhuo Li2024
Multi-Label Supervised Contrastive LearningPingyue Zhang; Mengyue Wu2024
United We Stand: Accelerating Privacy-Preserving Neural Inference by Conjunctive Optimization with Interleaved NexusQiao Zhang; Tao Xiang; Chunsheng Xin; Hongyi Wu2024
A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data SynthesisRongchao Zhang; Yiwei Lou; Dexuan Xu; Yongzhi Cao; Hanpin Wang; Yu Huang2024
Efficient Deweather Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear ModulationRongyu Zhang; Yulin Luo; Jiaming Liu; Huanrui Yang; Zhen Dong; Denis Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Yuan Du; Shanghang Zhang2024
Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator SystemRuining Zhang; Haoran Han; Maolong Lv; Qisong Yang; Jian Cheng2024
Reviewing the Forgotten Classes for Domain Adaptation of Black-Box PredictorsShaojie Zhang; Chun Shen; Shuai Lu; Zeyu Zhang2024
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential ModellingShimin Zhang; Qu Yang; Chenxiang Ma; Jibin Wu; Haizhou Li; Kay Chen Tan2024
Learning with Noisy Labels Using Hyperspherical Margin WeightingShuo Zhang; Yuwen Li; Zhongyu Wang; Jianqing Li; Chengyu Liu2024
One Step Closer to Unbiased Aleatoric Uncertainty EstimationWang Zhang; Ziwen Martin Ma; Subhro Das; Tsui-Wei Lily Weng; Alexandre Megretski; Luca Daniel; Lam M. Nguyen2024
Gaussian Process Neural Additive ModelsWei Zhang; Brian Barr; John Paisley2024
From Toxic to Trustworthy: Using Self-Distillation and Semi-supervised Methods to Refine Neural NetworksXianda Zhang; Baolin Zheng; Jianbao Hu; Chengyang Li; Xiaoying Bai2024
Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain AdaptationXinyu Zhang; Meng Kang; Shuai Lu2024
Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness ObjectiveXuechen Zhang; Mingchen Li; Jiasi Chen; Christos Thrampoulidis; Samet Oymak2024
Learning Multi-Task Sparse Representation Based on Fisher InformationYayu Zhang; Yuhua Qian; Guoshuai Ma; Keyin Zheng; Guoqing Liu; Qingfu Zhang2024
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement LearningYinmin Zhang; Jie Liu; Chuming Li; Yazhe Niu; Yaodong Yang; Yu Liu; Wanli Ouyang2024
Mitigating Label Bias in Machine Learning: Fairness through Confident LearningYixuan Zhang; Boyu Li; Zenan Ling; Feng Zhou2024
Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive LearningYuhan Zhang; Xiaode Liu; Yuanpei Chen; Weihang Peng; Yufei Guo; Xuhui Huang; Zhe Ma2024
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