Summary of A Two-scale Complexity Measure For Deep Learning Models, by Massimiliano Datres et al.
A Two-Scale Complexity Measure for Deep Learning Modelsby Massimiliano Datres, Gian Paolo Leonardi, Alessio Figalli,…
Summary of Exploring the Role Of Convolutional Neural Networks (cnn) in Dental Radiography Segmentation: a Comprehensive Systematic Literature Review, by Walid Brahmi and Imen Jdey and Fadoua Drira
Exploring the Role of Convolutional Neural Networks (CNN) in Dental Radiography Segmentation: A Comprehensive Systematic…
Summary of Preparing Lessons For Progressive Training on Language Models, by Yu Pan et al.
Preparing Lessons for Progressive Training on Language Modelsby Yu Pan, Ye Yuan, Yichun Yin, Jiaxin…
Summary of Dcrmta: Unbiased Causal Representation For Multi-touch Attribution, by Jiaming Tang
DCRMTA: Unbiased Causal Representation for Multi-touch Attributionby Jiaming TangFirst submitted to arxiv on: 16 Jan…
Summary of Mambatab: a Plug-and-play Model For Learning Tabular Data, by Md Atik Ahamed and Qiang Cheng
MambaTab: A Plug-and-Play Model for Learning Tabular Databy Md Atik Ahamed, Qiang ChengFirst submitted to…
Summary of Riemannonets: Interpretable Neural Operators For Riemann Problems, by Ahmad Peyvan et al.
RiemannONets: Interpretable Neural Operators for Riemann Problemsby Ahmad Peyvan, Vivek Oommen, Ameya D. Jagtap, George…
Summary of Mada: Meta-adaptive Optimizers Through Hyper-gradient Descent, by Kaan Ozkara et al.
MADA: Meta-Adaptive Optimizers through hyper-gradient Descentby Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham…
Summary of Cedar: Optimized and Unified Machine Learning Input Data Pipelines, by Mark Zhao et al.
cedar: Optimized and Unified Machine Learning Input Data Pipelinesby Mark Zhao, Emanuel Adamiak, Christos KozyrakisFirst…
Summary of Cfasl: Composite Factor-aligned Symmetry Learning For Disentanglement in Variational Autoencoder, by Hee-jun Jung et al.
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoderby Hee-Jun Jung, Jaehyoung Jeong, Kangil…
Summary of Leveraging Gradients For Unsupervised Accuracy Estimation Under Distribution Shift, by Renchunzi Xie et al.
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shiftby Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov,…