Summary of Transfusion: Covariate-shift Robust Transfer Learning For High-dimensional Regression, by Zelin He et al.
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regressionby Zelin He, Ying Sun, Jingyuan Liu, Runze…
Summary of Dailymae: Towards Pretraining Masked Autoencoders in One Day, by Jiantao Wu et al.
DailyMAE: Towards Pretraining Masked Autoencoders in One Dayby Jiantao Wu, Shentong Mo, Sara Atito, Zhenhua…
Summary of Aurora-m: Open Source Continual Pre-training For Multilingual Language and Code, by Taishi Nakamura et al.
Aurora-M: Open Source Continual Pre-training for Multilingual Language and Codeby Taishi Nakamura, Mayank Mishra, Simone…
Summary of The Unreasonable Ineffectiveness Of the Deeper Layers, by Andrey Gromov et al.
The Unreasonable Ineffectiveness of the Deeper Layersby Andrey Gromov, Kushal Tirumala, Hassan Shapourian, Paolo Glorioso,…
Summary of Masked Autoencoders Are Pde Learners, by Anthony Zhou and Amir Barati Farimani
Masked Autoencoders are PDE Learnersby Anthony Zhou, Amir Barati FarimaniFirst submitted to arxiv on: 26…
Summary of Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance, By Jiasheng Ye et al.
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performanceby Jiasheng Ye, Peiju Liu,…
Summary of Learning Action-based Representations Using Invariance, by Max Rudolph et al.
Learning Action-based Representations Using Invarianceby Max Rudolph, Caleb Chuck, Kevin Black, Misha Lvovsky, Scott Niekum,…
Summary of Deepmachining: Online Prediction Of Machining Errors Of Lathe Machines, by Xiang-li Lu et al.
DeepMachining: Online Prediction of Machining Errors of Lathe Machinesby Xiang-Li Lu, Hwai-Jung Hsu, Che-Wei Chou,…
Summary of Lsttn: a Long-short Term Transformer-based Spatio-temporal Neural Network For Traffic Flow Forecasting, by Qinyao Luo et al.
LSTTN: A Long-Short Term Transformer-based Spatio-temporal Neural Network for Traffic Flow Forecastingby Qinyao Luo, Silu…
Summary of Deep Active Learning: a Reality Check, by Edrina Gashi et al.
Deep Active Learning: A Reality Checkby Edrina Gashi, Jiankang Deng, Ismail EleziFirst submitted to arxiv…