Summary of The Phase Diagram Of Kernel Interpolation in Large Dimensions, by Haobo Zhang et al.
The phase diagram of kernel interpolation in large dimensionsby Haobo Zhang, Weihao Lu, Qian LinFirst…
Summary of Aed-pada:improving Generalizability Of Adversarial Example Detection Via Principal Adversarial Domain Adaptation, by Heqi Peng et al.
AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptationby Heqi Peng, Yunhong Wang,…
Summary of Items or Relations — What Do Artificial Neural Networks Learn?, by Renate Krause et al.
Items or Relations – what do Artificial Neural Networks learn?by Renate Krause, Stefan ReimannFirst submitted…
Summary of Singular-limit Analysis Of Gradient Descent with Noise Injection, by Anna Shalova et al.
Singular-limit analysis of gradient descent with noise injectionby Anna Shalova, André Schlichting, Mark PeletierFirst submitted…
Summary of Qgen: on the Ability to Generalize in Quantization Aware Training, by Mohammadhossein Askarihemmat et al.
QGen: On the Ability to Generalize in Quantization Aware Trainingby MohammadHossein AskariHemmat, Ahmadreza Jeddi, Reyhane…
Summary of Improved Generalization Bounds For Communication Efficient Federated Learning, by Peyman Gholami et al.
Improved Generalization Bounds for Communication Efficient Federated Learningby Peyman Gholami, Hulya SeferogluFirst submitted to arxiv…
Summary of End-to-end Mesh Optimization Of a Hybrid Deep Learning Black-box Pde Solver, by Shaocong Ma et al.
End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solverby Shaocong Ma, James Diffenderfer,…
Summary of Vc Theory For Inventory Policies, by Yaqi Xie et al.
VC Theory for Inventory Policiesby Yaqi Xie, Will Ma, Linwei XinFirst submitted to arxiv on:…
Summary of Reuse Out-of-year Data to Enhance Land Cover Mapping Via Feature Disentanglement and Contrastive Learning, by Cassio F. Dantas (umr Tetis et al.
Reuse out-of-year data to enhance land cover mapping via feature disentanglement and contrastive learningby Cassio…
Summary of Dacad: Domain Adaptation Contrastive Learning For Anomaly Detection in Multivariate Time Series, by Zahra Zamanzadeh Darban et al.
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Seriesby Zahra Zamanzadeh Darban,…