Summary of Communication-efficient and Privacy-preserving Decentralized Meta-learning, by Hansi Yang et al.
Communication-Efficient and Privacy-Preserving Decentralized Meta-Learningby Hansi Yang, James T. KwokFirst submitted to arxiv on: 19…
Summary of Abnet: Attention Barriernet For Safe and Scalable Robot Learning, by Wei Xiao and Tsun-hsuan Wang and Daniela Rus
ABNet: Attention BarrierNet for Safe and Scalable Robot Learningby Wei Xiao, Tsun-Hsuan Wang, Daniela RusFirst…
Summary of Scale-translation Equivariant Network For Oceanic Internal Solitary Wave Localization, by Zhang Wan et al.
Scale-Translation Equivariant Network for Oceanic Internal Solitary Wave Localizationby Zhang Wan, Shuo Wang, Xudong ZhangFirst…
Summary of Noisec: Harnessing Noise For Security Against Adversarial and Backdoor Attacks, by Md Hasan Shahriar et al.
NoiSec: Harnessing Noise for Security against Adversarial and Backdoor Attacksby Md Hasan Shahriar, Ning Wang,…
Summary of On Instabilities in Neural Network-based Physics Simulators, by Daniel Floryan
On instabilities in neural network-based physics simulatorsby Daniel FloryanFirst submitted to arxiv on: 18 Jun…
Summary of Patholm: Identifying Pathogenicity From the Dna Sequence Through the Genome Foundation Model, by Sajib Acharjee Dip et al.
PathoLM: Identifying pathogenicity from the DNA sequence through the Genome Foundation Modelby Sajib Acharjee Dip,…
Summary of Meent: Differentiable Electromagnetic Simulator For Machine Learning, by Yongha Kim et al.
Meent: Differentiable Electromagnetic Simulator for Machine Learningby Yongha Kim, Anthony W. Jung, Sanmun Kim, Kevin…
Summary of In-context Learning Of Energy Functions, by Rylan Schaeffer et al.
In-Context Learning of Energy Functionsby Rylan Schaeffer, Mikail Khona, Sanmi KoyejoFirst submitted to arxiv on:…
Summary of Scalable Rule Lists Learning with Sampling, by Leonardo Pellegrina and Fabio Vandin
Scalable Rule Lists Learning with Samplingby Leonardo Pellegrina, Fabio VandinFirst submitted to arxiv on: 18…
Summary of Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation, by Nikolas Koutsoubis et al.
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimationby Nikolas Koutsoubis, Yasin Yilmaz, Ravi…