Summary of Learning From Noisy Labels For Long-tailed Data Via Optimal Transport, by Mengting Li et al.
Learning from Noisy Labels for Long-tailed Data via Optimal Transportby Mengting Li, Chuang ZhuFirst submitted…
Summary of Multimodal Gender Fairness in Depression Prediction: Insights on Data From the Usa & China, by Joseph Cameron et al.
Multimodal Gender Fairness in Depression Prediction: Insights on Data from the USA & Chinaby Joseph…
Summary of Deep Generative Models For Subgraph Prediction, by Erfaneh Mahmoudzadeh et al.
Deep Generative Models for Subgraph Predictionby Erfaneh Mahmoudzadeh, Parmis Naddaf, Kiarash Zahirnia, Oliver SchulteFirst submitted…
Summary of Learning Rate-free Reinforcement Learning: a Case For Model Selection with Non-stationary Objectives, by Aida Afshar et al.
Learning Rate-Free Reinforcement Learning: A Case for Model Selection with Non-Stationary Objectivesby Aida Afshar, Aldo…
Summary of Powerpm: Foundation Model For Power Systems, by Shihao Tu et al.
PowerPM: Foundation Model for Power Systemsby Shihao Tu, Yupeng Zhang, Jing Zhang, Zhendong Fu, Yin…
Summary of Tree Attention: Topology-aware Decoding For Long-context Attention on Gpu Clusters, by Vasudev Shyam et al.
Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clustersby Vasudev Shyam, Jonathan Pilault, Emily…
Summary of Zack: Zero-overhead Llm Inference Acceleration Via Dimensionality Compression Of the Key-value Cache, by Zeyu Zhang et al.
ZACK: Zero-Overhead LLM Inference Acceleration via Dimensionality Compression of the Key-Value Cacheby Zeyu Zhang, Haiying…
Summary of Zero-shot Factual Consistency Evaluation Across Domains, by Raunak Agarwal
Zero-shot Factual Consistency Evaluation Across Domainsby Raunak AgarwalFirst submitted to arxiv on: 7 Aug 2024CategoriesMain:…
Summary of Combining Neural Architecture Search and Automatic Code Optimization: a Survey, by Inas Bachiri et al.
Combining Neural Architecture Search and Automatic Code Optimization: A Surveyby Inas Bachiri, Hadjer Benmeziane, Smail…
Summary of Out-of-core Dimensionality Reduction For Large Data Via Out-of-sample Extensions, by Luca Reichmann et al.
Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensionsby Luca Reichmann, David Hägele, Daniel WeiskopfFirst…