Summary of How Can Deep Neural Networks Fail Even with Global Optima?, by Qingguang Guan
How Can Deep Neural Networks Fail Even With Global Optima?by Qingguang GuanFirst submitted to arxiv…
Summary of Regulating Ai Adaptation: An Analysis Of Ai Medical Device Updates, by Kevin Wu et al.
Regulating AI Adaptation: An Analysis of AI Medical Device Updatesby Kevin Wu, Eric Wu, Kit…
Summary of Generation Constraint Scaling Can Mitigate Hallucination, by Georgios Kollias et al.
Generation Constraint Scaling Can Mitigate Hallucinationby Georgios Kollias, Payel Das, Subhajit ChaudhuryFirst submitted to arxiv…
Summary of Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes, by Jingyi Gao et al.
Federated Automatic Latent Variable Selection in Multi-output Gaussian Processesby Jingyi Gao, Seokhyun ChungFirst submitted to…
Summary of Cross-domain Policy Transfer by Representation Alignment Via Multi-domain Behavioral Cloning, By Hayato Watahiki et al.
Cross-Domain Policy Transfer by Representation Alignment via Multi-Domain Behavioral Cloningby Hayato Watahiki, Ryo Iwase, Ryosuke…
Summary of Provable Benefit Of Annealed Langevin Monte Carlo For Non-log-concave Sampling, by Wei Guo et al.
Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Samplingby Wei Guo, Molei Tao, Yongxin…
Summary of Gv-rep: a Large-scale Dataset For Genetic Variant Representation Learning, by Zehui Li et al.
GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learningby Zehui Li, Vallijah Subasri, Guy-Bart Stan,…
Summary of Towards Transfer Unlearning: Empirical Evidence Of Cross-domain Bias Mitigation, by Huimin Lu et al.
Towards Transfer Unlearning: Empirical Evidence of Cross-Domain Bias Mitigationby Huimin Lu, Masaru Isonuma, Junichiro Mori,…
Summary of Wonderful Matrices: More Efficient and Effective Architecture For Language Modeling Tasks, by Jingze Shi and Bingheng Wu and Lu He and Luchang Jiang
Wonderful Matrices: More Efficient and Effective Architecture for Language Modeling Tasksby Jingze Shi, Bingheng Wu,…
Summary of Adaptive Gradient Regularization: a Faster and Generalizable Optimization Technique For Deep Neural Networks, by Huixiu Jiang et al.
Adaptive Gradient Regularization: A Faster and Generalizable Optimization Technique for Deep Neural Networksby Huixiu Jiang,…