Summary of Towards Reliable Alignment: Uncertainty-aware Rlhf, by Debangshu Banerjee et al.
Towards Reliable Alignment: Uncertainty-aware RLHFby Debangshu Banerjee, Aditya GopalanFirst submitted to arxiv on: 31 Oct…
Summary of Ocean: Offline Chain-of-thought Evaluation and Alignment in Large Language Models, by Junda Wu et al.
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Modelsby Junda Wu, Xintong Li, Ruoyu…
Summary of A Non-monolithic Policy Approach Of Offline-to-online Reinforcement Learning, by Jaeyoon Kim et al.
A Non-Monolithic Policy Approach of Offline-to-Online Reinforcement Learningby JaeYoon Kim, Junyu Xuan, Christy Liang, Farookh…
Summary of Multi-fidelity Machine Learning For Uncertainty Quantification and Optimization, by Ruda Zhang and Negin Alemazkoor
Multi-fidelity Machine Learning for Uncertainty Quantification and Optimizationby Ruda Zhang, Negin AlemazkoorFirst submitted to arxiv…
Summary of Keep on Swimming: Real Attackers Only Need Partial Knowledge Of a Multi-model System, by Julian Collado et al.
Keep on Swimming: Real Attackers Only Need Partial Knowledge of a Multi-Model Systemby Julian Collado,…
Summary of Causality-driven Audits Of Model Robustness, by Nathan Drenkow et al.
Causality-Driven Audits of Model Robustnessby Nathan Drenkow, Chris Ribaudo, Mathias UnberathFirst submitted to arxiv on:…
Summary of Dash: Warm-starting Neural Network Training in Stationary Settings Without Loss Of Plasticity, by Baekrok Shin et al.
DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticityby Baekrok Shin, Junsoo…
Summary of Kernel-based Function Approximation For Average Reward Reinforcement Learning: An Optimist No-regret Algorithm, by Sattar Vakili and Julia Olkhovskaya
Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithmby Sattar Vakili, Julia…
Summary of Tangent Space Causal Inference: Leveraging Vector Fields For Causal Discovery in Dynamical Systems, by Kurt Butler et al.
Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systemsby Kurt Butler,…
Summary of Development and Comparative Analysis Of Machine Learning Models For Hypoxemia Severity Triage in Cbrne Emergency Scenarios Using Physiological and Demographic Data From Medical-grade Devices, by Santino Nanini et al.
Development and Comparative Analysis of Machine Learning Models for Hypoxemia Severity Triage in CBRNE Emergency…