Summary of Ordered Momentum For Asynchronous Sgd, by Chang-wei Shi et al.
Ordered Momentum for Asynchronous SGDby Chang-Wei Shi, Yi-Rui Yang, Wu-Jun LiFirst submitted to arxiv on:…
Summary of Stochastic Parrots or Icu Experts? Large Language Models in Critical Care Medicine: a Scoping Review, by Tongyue Shi et al.
Stochastic Parrots or ICU Experts? Large Language Models in Critical Care Medicine: A Scoping Reviewby…
Summary of Bayesian Meta Learning For Trustworthy Uncertainty Quantification, by Zhenyuan Yuan et al.
Bayesian meta learning for trustworthy uncertainty quantificationby Zhenyuan Yuan, Thinh T. DoanFirst submitted to arxiv…
Summary of The Cross-environment Hyperparameter Setting Benchmark For Reinforcement Learning, by Andrew Patterson et al.
The Cross-environment Hyperparameter Setting Benchmark for Reinforcement Learningby Andrew Patterson, Samuel Neumann, Raksha Kumaraswamy, Martha…
Summary of Qt-tdm: Planning with Transformer Dynamics Model and Autoregressive Q-learning, by Mostafa Kotb et al.
QT-TDM: Planning With Transformer Dynamics Model and Autoregressive Q-Learningby Mostafa Kotb, Cornelius Weber, Muhammad Burhan…
Summary of Enhancing Material Property Prediction with Ensemble Deep Graph Convolutional Networks, by Chowdhury Mohammad Abid Rahman et al.
Enhancing material property prediction with ensemble deep graph convolutional networksby Chowdhury Mohammad Abid Rahman, Ghadendra…
Summary of Order-optimal Global Convergence For Average Reward Reinforcement Learning Via Actor-critic Approach, by Swetha Ganesh et al.
Order-Optimal Global Convergence for Average Reward Reinforcement Learning via Actor-Critic Approachby Swetha Ganesh, Washim Uddin…
Summary of Generative Adversarial Networks For Imputing Sparse Learning Performance, by Liang Zhang et al.
Generative Adversarial Networks for Imputing Sparse Learning Performanceby Liang Zhang, Mohammed Yeasin, Jionghao Lin, Felix…
Summary of Downlink Channel Covariance Matrix Estimation Via Representation Learning with Graph Regularization, by Melih Can Zerin et al.
Downlink Channel Covariance Matrix Estimation via Representation Learning with Graph Regularizationby Melih Can Zerin, Elif…
Summary of Embedding and Clustering Your Data Can Improve Contrastive Pretraining, by Luke Merrick
Embedding And Clustering Your Data Can Improve Contrastive Pretrainingby Luke MerrickFirst submitted to arxiv on:…