Summary of Cwa-t: a Channelwise Autoencoder with Transformer For Eeg Abnormality Detection, by Youshen Zhao et al.
CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detectionby Youshen Zhao, Keiji IraminaFirst submitted…
Summary of Cal-dpo: Calibrated Direct Preference Optimization For Language Model Alignment, by Teng Xiao et al.
Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignmentby Teng Xiao, Yige Yuan, Huaisheng Zhu,…
Summary of Knowledge Distillation in Rnn-attention Models For Early Prediction Of Student Performance, by Sukrit Leelaluk et al.
Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performanceby Sukrit Leelaluk, Cheng Tang,…
Summary of Heterogeneous Multi-agent Reinforcement Learning For Distributed Channel Access in Wlans, by Jiaming Yu et al.
Heterogeneous Multi-Agent Reinforcement Learning for Distributed Channel Access in WLANsby Jiaming Yu, Le Liang, Chongtao…
Summary of A Survey on Large Language Model-based Agents For Statistics and Data Science, by Maojun Sun et al.
A Survey on Large Language Model-based Agents for Statistics and Data Scienceby Maojun Sun, Ruijian…
Summary of A Survey on Inference Optimization Techniques For Mixture Of Experts Models, by Jiacheng Liu et al.
A Survey on Inference Optimization Techniques for Mixture of Experts Modelsby Jiacheng Liu, Peng Tang,…
Summary of Towards Precise Prediction Uncertainty in Gnns: Refining Gnns with Topology-grouping Strategy, by Hyunjin Seo et al.
Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategyby Hyunjin Seo, Kyusung Seo,…
Summary of Split Learning in Computer Vision For Semantic Segmentation Delay Minimization, by Nikos G. Evgenidis et al.
Split Learning in Computer Vision for Semantic Segmentation Delay Minimizationby Nikos G. Evgenidis, Nikos A.…
Summary of Fedstas: Client Stratification and Client Level Sampling For Efficient Federated Learning, by Jordan Slessor et al.
FedSTaS: Client Stratification and Client Level Sampling for Efficient Federated Learningby Jordan Slessor, Dezheng Kong,…
Summary of Temporally Consistent Object-centric Learning by Contrasting Slots, By Anna Manasyan et al.
Temporally Consistent Object-Centric Learning by Contrasting Slotsby Anna Manasyan, Maximilian Seitzer, Filip Radovic, Georg Martius,…