Summary of Persistent Classification: a New Approach to Stability Of Data and Adversarial Examples, by Brian Bell et al.
Persistent Classification: A New Approach to Stability of Data and Adversarial Examplesby Brian Bell, Michael…
Summary of Controlnet++: Improving Conditional Controls with Efficient Consistency Feedback, by Ming Li et al.
ControlNet++: Improving Conditional Controls with Efficient Consistency Feedbackby Ming Li, Taojiannan Yang, Huafeng Kuang, Jie…
Summary of Generating Synthetic Satellite Imagery with Deep-learning Text-to-image Models — Technical Challenges and Implications For Monitoring and Verification, by Tuong Vy Nguyen and Alexander Glaser and Felix Biessmann
Generating Synthetic Satellite Imagery With Deep-Learning Text-to-Image Models – Technical Challenges and Implications for Monitoring…
Summary of Anomaly Detection in Power Grids Via Context-agnostic Learning, by Sangwoo Park and Amritanshu Pandey
Anomaly Detection in Power Grids via Context-Agnostic Learningby SangWoo Park, Amritanshu PandeyFirst submitted to arxiv…
Summary of Spatial Transfer Learning For Estimating Pm2.5 in Data-poor Regions, by Shrey Gupta et al.
Spatial Transfer Learning for Estimating PM2.5 in Data-poor Regionsby Shrey Gupta, Yongbee Park, Jianzhao Bi,…
Summary of A Transformer-based Model For the Prediction Of Human Gaze Behavior on Videos, by Suleyman Ozdel et al.
A Transformer-Based Model for the Prediction of Human Gaze Behavior on Videosby Suleyman Ozdel, Yao…
Summary of Gansemble For Small and Imbalanced Data Sets: a Baseline For Synthetic Microplastics Data, by Daniel Platnick et al.
GANsemble for Small and Imbalanced Data Sets: A Baseline for Synthetic Microplastics Databy Daniel Platnick,…
Summary of Comparison Of Decision Trees with Local Interpretable Model-agnostic Explanations (lime) Technique and Multi-linear Regression For Explaining Support Vector Regression Model in Terms Of Root Mean Square Error (rmse) Values, by Amit Thombre
Comparison of decision trees with Local Interpretable Model-Agnostic Explanations (LIME) technique and multi-linear regression for…
Summary of Towards Learning Stochastic Population Models by Gradient Descent, By Justin N. Kreikemeyer et al.
Towards Learning Stochastic Population Models by Gradient Descentby Justin N. Kreikemeyer, Philipp Andelfinger, Adelinde M.…
Summary of How Consistent Are Clinicians? Evaluating the Predictability Of Sepsis Disease Progression with Dynamics Models, by Unnseo Park et al.
How Consistent are Clinicians? Evaluating the Predictability of Sepsis Disease Progression with Dynamics Modelsby Unnseo…