Summary of A Survey Analyzing Generalization in Deep Reinforcement Learning, by Ezgi Korkmaz
A Survey Analyzing Generalization in Deep Reinforcement Learningby Ezgi KorkmazFirst submitted to arxiv on: 4…
Summary of Incorporating Geo-diverse Knowledge Into Prompting For Increased Geographical Robustness in Object Recognition, by Kyle Buettner et al.
Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognitionby Kyle Buettner, Sina…
Summary of Uncertainty Regularized Evidential Regression, by Kai Ye et al.
Uncertainty Regularized Evidential Regressionby Kai Ye, Tiejin Chen, Hua Wei, Liang ZhanFirst submitted to arxiv…
Summary of Pac-bayes-chernoff Bounds For Unbounded Losses, by Ioar Casado et al.
PAC-Bayes-Chernoff bounds for unbounded lossesby Ioar Casado, Luis A. Ortega, Aritz Pérez, Andrés R. MasegosaFirst…
Summary of Optimal Rates Of Kernel Ridge Regression Under Source Condition in Large Dimensions, by Haobo Zhang et al.
Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensionsby Haobo Zhang, Yicheng…
Summary of Uncertainty-penalized Reinforcement Learning From Human Feedback with Diverse Reward Lora Ensembles, by Yuanzhao Zhai et al.
Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensemblesby Yuanzhao Zhai, Han Zhang,…
Summary of Generative Model-driven Synthetic Training Image Generation: An Approach to Cognition in Rail Defect Detection, by Rahatara Ferdousi et al.
Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Rail Defect Detectionby Rahatara…
Summary of Conditional Prompt Tuning For Multimodal Fusion, by Ruixiang Jiang et al.
Conditional Prompt Tuning for Multimodal Fusionby Ruixiang Jiang, Lingbo Liu, Changwen ChenFirst submitted to arxiv…
Summary of Unraveling the Enigma Of Double Descent: An In-depth Analysis Through the Lens Of Learned Feature Space, by Yufei Gu et al.
Unraveling the Enigma of Double Descent: An In-depth Analysis through the Lens of Learned Feature…
Summary of Copr: Continual Learning Human Preference Through Optimal Policy Regularization, by Han Zhang et al.
COPR: Continual Learning Human Preference through Optimal Policy Regularizationby Han Zhang, Lin Gui, Yuanzhao Zhai,…