Summary of Scaling Laws For Black Box Adversarial Attacks, by Chuan Liu et al.
Scaling Laws for Black box Adversarial Attacksby Chuan Liu, Huanran Chen, Yichi Zhang, Yinpeng Dong,…
Summary of Curvature in the Looking-glass: Optimal Methods to Exploit Curvature Of Expectation in the Loss Landscape, by Jed A. Duersch et al.
Curvature in the Looking-Glass: Optimal Methods to Exploit Curvature of Expectation in the Loss Landscapeby…
Summary of Maximizing the Impact Of Deep Learning on Subseasonal-to-seasonal Climate Forecasting: the Essential Role Of Optimization, by Yizhen Guo et al.
Maximizing the Impact of Deep Learning on Subseasonal-to-Seasonal Climate Forecasting: The Essential Role of Optimizationby…
Summary of A Review Of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation, by M.m.a. Valiuddin et al.
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentationby M.M.A. Valiuddin, R.J.G. van…
Summary of Lion Cub: Minimizing Communication Overhead in Distributed Lion, by Satoki Ishikawa et al.
Lion Cub: Minimizing Communication Overhead in Distributed Lionby Satoki Ishikawa, Tal Ben-Nun, Brian Van Essen,…
Summary of Beyond Task Vectors: Selective Task Arithmetic Based on Importance Metrics, by Tian Bowen et al.
Beyond Task Vectors: Selective Task Arithmetic Based on Importance Metricsby Tian Bowen, Lai Songning, Wu…
Summary of Badsfl: Backdoor Attack Against Scaffold Federated Learning, by Xingshuo Han et al.
BadSFL: Backdoor Attack against Scaffold Federated Learningby Xingshuo Han, Xuanye Zhang, Xiang Lan, Haozhao Wang,…
Summary of Adaptive Methods Through the Lens Of Sdes: Theoretical Insights on the Role Of Noise, by Enea Monzio Compagnoni et al.
Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noiseby Enea…
Summary of An Extensive Study on D2c: Overfitting Remediation in Deep Learning Using a Decentralized Approach, by Md. Saiful Bari Siddiqui et al.
An Extensive Study on D2C: Overfitting Remediation in Deep Learning Using a Decentralized Approachby Md.…
Summary of Customer Lifetime Value Prediction with Uncertainty Estimation Using Monte Carlo Dropout, by Xinzhe Cao et al.
Customer Lifetime Value Prediction with Uncertainty Estimation Using Monte Carlo Dropoutby Xinzhe Cao, Yadong Xu,…