Summary of Lmeraser: Large Model Unlearning Through Adaptive Prompt Tuning, by Jie Xu et al.
LMEraser: Large Model Unlearning through Adaptive Prompt Tuningby Jie Xu, Zihan Wu, Cong Wang, Xiaohua…
Summary of Scalefold: Reducing Alphafold Initial Training Time to 10 Hours, by Feiwen Zhu et al.
ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hoursby Feiwen Zhu, Arkadiusz Nowaczynski, Rundong Li,…
Summary of Eeg_glt-net: Optimising Eeg Graphs For Real-time Motor Imagery Signals Classification, by Htoo Wai Aung et al.
EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classificationby Htoo Wai Aung, Jiao Jiao…
Summary of Efficient Conditional Diffusion Model with Probability Flow Sampling For Image Super-resolution, by Yutao Yuan et al.
Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolutionby Yutao Yuan, Chun YuanFirst…
Summary of Mathwriting: a Dataset For Handwritten Mathematical Expression Recognition, by Philippe Gervais et al.
MathWriting: A Dataset For Handwritten Mathematical Expression Recognitionby Philippe Gervais, Asya Fadeeva, Andrii MaksaiFirst submitted…
Summary of Network Architecture Search Of X-ray Based Scientific Applications, by Adarsha Balaji et al.
Network architecture search of X-ray based scientific applicationsby Adarsha Balaji, Ramyad Hadidi, Gregory Kollmer, Mohammed…
Summary of Randomized Exploration in Cooperative Multi-agent Reinforcement Learning, by Hao-lun Hsu et al.
Randomized Exploration in Cooperative Multi-Agent Reinforcement Learningby Hao-Lun Hsu, Weixin Wang, Miroslav Pajic, Pan XuFirst…
Summary of How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model, by Umberto Tomasini and Matthieu Wyart
How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Modelby Umberto Tomasini,…
Summary of Insight Gained From Migrating a Machine Learning Model to Intelligence Processing Units, by Hieu Le et al.
Insight Gained from Migrating a Machine Learning Model to Intelligence Processing Unitsby Hieu Le, Zhenhua…
Summary of Achieving Constant Regret in Linear Markov Decision Processes, by Weitong Zhang and Zhiyuan Fan and Jiafan He and Quanquan Gu
Achieving Constant Regret in Linear Markov Decision Processesby Weitong Zhang, Zhiyuan Fan, Jiafan He, Quanquan…