Summary of Guarantees Of Confidentiality Via Hammersley-chapman-robbins Bounds, by Kamalika Chaudhuri et al.
Guarantees of confidentiality via Hammersley-Chapman-Robbins boundsby Kamalika Chaudhuri, Chuan Guo, Laurens van der Maaten, Saeed…
Summary of Global Mapping Of Exposure and Physical Vulnerability Dynamics in Least Developed Countries Using Remote Sensing and Machine Learning, by Joshua Dimasaka et al.
Global Mapping of Exposure and Physical Vulnerability Dynamics in Least Developed Countries using Remote Sensing…
Summary of Can Biases in Imagenet Models Explain Generalization?, by Paul Gavrikov and Janis Keuper
Can Biases in ImageNet Models Explain Generalization?by Paul Gavrikov, Janis KeuperFirst submitted to arxiv on:…
Summary of Universal Bovine Identification Via Depth Data and Deep Metric Learning, by Asheesh Sharma et al.
Universal Bovine Identification via Depth Data and Deep Metric Learningby Asheesh Sharma, Lucy Randewich, William…
Summary of Densenets Reloaded: Paradigm Shift Beyond Resnets and Vits, by Donghyun Kim et al.
DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTsby Donghyun Kim, Byeongho Heo, Dongyoon HanFirst submitted…
Summary of Imagenet-d: Benchmarking Neural Network Robustness on Diffusion Synthetic Object, by Chenshuang Zhang et al.
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Objectby Chenshuang Zhang, Fei Pan, Junmo Kim,…
Summary of Inceptiontime Vs. Wavelet — a Comparison For Time Series Classification, by Daniel Klenkert et al.
InceptionTime vs. Wavelet – A comparison for time series classificationby Daniel Klenkert, Daniel Schaeffer, Julian StauchFirst…
Summary of Deep Support Vectors, by Junhoo Lee et al.
Deep Support Vectorsby Junhoo Lee, Hyunho Lee, Kyomin Hwang, Nojun KwakFirst submitted to arxiv on:…
Summary of Towards Low-energy Adaptive Personalization For Resource-constrained Devices, by Yushan Huang et al.
Towards Low-Energy Adaptive Personalization for Resource-Constrained Devicesby Yushan Huang, Josh Millar, Yuxuan Long, Yuchen Zhao,…
Summary of Federated Bayesian Deep Learning: the Application Of Statistical Aggregation Methods to Bayesian Models, by John Fischer et al.
Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Modelsby John Fischer,…