Summary of Token Turing Machines Are Efficient Vision Models, by Purvish Jajal et al.
Token Turing Machines are Efficient Vision Modelsby Purvish Jajal, Nick John Eliopoulos, Benjamin Shiue-Hal Chou,…
Summary of Mcdgln: Masked Connection-based Dynamic Graph Learning Network For Autism Spectrum Disorder, by Peng Wang et al.
MCDGLN: Masked Connection-based Dynamic Graph Learning Network for Autism Spectrum Disorderby Peng Wang, Xin Wen,…
Summary of Attention Based Machine Learning Methods For Data Reduction with Guaranteed Error Bounds, by Xiao Li and Jaemoon Lee and Anand Rangarajan and Sanjay Ranka
Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Boundsby Xiao Li, Jaemoon…
Summary of Half-vae: An Encoder-free Vae to Bypass Explicit Inverse Mapping, by Yuan-hao Wei et al.
Half-VAE: An Encoder-Free VAE to Bypass Explicit Inverse Mappingby Yuan-Hao Wei, Yan-Jie Sun, Chen ZhangFirst…
Summary of Towards Autonomous Cybersecurity: An Intelligent Automl Framework For Autonomous Intrusion Detection, by Li Yang et al.
Towards Autonomous Cybersecurity: An Intelligent AutoML Framework for Autonomous Intrusion Detectionby Li Yang, Abdallah ShamiFirst…
Summary of Sample What You Cant Compress, by Vighnesh Birodkar et al.
Sample what you cant compressby Vighnesh Birodkar, Gabriel Barcik, James Lyon, Sergey Ioffe, David Minnen,…
Summary of Efficient and Scalable Estimation Of Tool Representations in Vector Space, by Suhong Moon et al.
Efficient and Scalable Estimation of Tool Representations in Vector Spaceby Suhong Moon, Siddharth Jha, Lutfi…
Summary of Tiny-toxic-detector: a Compact Transformer-based Model For Toxic Content Detection, by Michiel Kamphuis
Tiny-Toxic-Detector: A compact transformer-based model for toxic content detectionby Michiel KamphuisFirst submitted to arxiv on:…
Summary of Interpreting Outliers in Time Series Data Through Decoding Autoencoder, by Patrick Knab et al.
Interpreting Outliers in Time Series Data through Decoding Autoencoderby Patrick Knab, Sascha Marton, Christian Bartelt,…
Summary of Astromae: Redshift Prediction Using a Masked Autoencoder with a Novel Fine-tuning Architecture, by Amirreza Dolatpour Fathkouhi et al.
AstroMAE: Redshift Prediction Using a Masked Autoencoder with a Novel Fine-Tuning Architectureby Amirreza Dolatpour Fathkouhi,…