Summary of Adversarial Imitation Learning Via Boosting, by Jonathan D. Chang et al.
Adversarial Imitation Learning via Boostingby Jonathan D. Chang, Dhruv Sreenivas, Yingbing Huang, Kianté Brantley, Wen…
Summary of Advancing Forest Fire Prevention: Deep Reinforcement Learning For Effective Firebreak Placement, by Lucas Murray et al.
Advancing Forest Fire Prevention: Deep Reinforcement Learning for Effective Firebreak Placementby Lucas Murray, Tatiana Castillo,…
Summary of Fuxi-da: a Generalized Deep Learning Data Assimilation Framework For Assimilating Satellite Observations, by Xiaoze Xu et al.
Fuxi-DA: A Generalized Deep Learning Data Assimilation Framework for Assimilating Satellite Observationsby Xiaoze Xu, Xiuyu…
Summary of Scalability in Building Component Data Annotation: Enhancing Facade Material Classification with Synthetic Data, by Josie Harrison et al.
Scalability in Building Component Data Annotation: Enhancing Facade Material Classification with Synthetic Databy Josie Harrison,…
Summary of Rlhf Deciphered: a Critical Analysis Of Reinforcement Learning From Human Feedback For Llms, by Shreyas Chaudhari et al.
RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMsby Shreyas Chaudhari,…
Summary of Going Forward-forward in Distributed Deep Learning, by Ege Aktemur et al.
Going Forward-Forward in Distributed Deep Learningby Ege Aktemur, Ege Zorlutuna, Kaan Bilgili, Tacettin Emre Bok,…
Summary of Small Models Are (still) Effective Cross-domain Argument Extractors, by William Gantt and Aaron Steven White
Small Models Are (Still) Effective Cross-Domain Argument Extractorsby William Gantt, Aaron Steven WhiteFirst submitted to…
Summary of Federated Distillation: a Survey, by Lin Li and Jianping Gou and Baosheng Yu and Lan Du and Zhang Yiand Dacheng Tao
Federated Distillation: A Surveyby Lin Li, Jianping Gou, Baosheng Yu, Lan Du, Zhang Yiand Dacheng…
Summary of Sliding Down the Stairs: How Correlated Latent Variables Accelerate Learning with Neural Networks, by Lorenzo Bardone and Sebastian Goldt
Sliding down the stairs: how correlated latent variables accelerate learning with neural networksby Lorenzo Bardone,…
Summary of Generating Synthetic Time Series Data For Cyber-physical Systems, by Alexander Sommers and Somayeh Bakhtiari Ramezani and Logan Cummins and Sudip Mittal and Shahram Rahimi and Maria Seale and Joseph Jaboure
Generating Synthetic Time Series Data for Cyber-Physical Systemsby Alexander Sommers, Somayeh Bakhtiari Ramezani, Logan Cummins,…