Summary of Summing Up the Facts: Additive Mechanisms Behind Factual Recall in Llms, by Bilal Chughtai et al.
Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMsby Bilal Chughtai, Alan Cooney,…
Summary of Perfect Recovery For Random Geometric Graph Matching with Shallow Graph Neural Networks, by Suqi Liu and Morgane Austern
Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networksby Suqi Liu, Morgane…
Summary of Measurement Scheduling For Icu Patients with Offline Reinforcement Learning, by Zongliang Ji et al.
Measurement Scheduling for ICU Patients with Offline Reinforcement Learningby Zongliang Ji, Anna Goldenberg, Rahul G.…
Summary of Accuracy Of Textfooler Black Box Adversarial Attacks on 01 Loss Sign Activation Neural Network Ensemble, by Yunzhe Xue and Usman Roshan
Accuracy of TextFooler black box adversarial attacks on 01 loss sign activation neural network ensembleby…
Summary of Noise-adaptive Confidence Sets For Linear Bandits and Application to Bayesian Optimization, by Kwang-sung Jun et al.
Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimizationby Kwang-Sung Jun, Jungtaek KimFirst…
Summary of Data Distribution-based Curriculum Learning, by Shonal Chaudhry and Anuraganand Sharma
Data Distribution-based Curriculum Learningby Shonal Chaudhry, Anuraganand SharmaFirst submitted to arxiv on: 12 Feb 2024CategoriesMain:…
Summary of Regression Trees For Fast and Adaptive Prediction Intervals, by Luben M. C. Cabezas et al.
Regression Trees for Fast and Adaptive Prediction Intervalsby Luben M. C. Cabezas, Mateus P. Otto,…
Summary of A Novel Gaussian Min-max Theorem and Its Applications, by Danil Akhtiamov et al.
A Novel Gaussian Min-Max Theorem and its Applicationsby Danil Akhtiamov, David Bosch, Reza Ghane, K…
Summary of Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passing, by Wei Xu et al.
Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passingby Wei Xu, An…
Summary of Assessing Generalization For Subpopulation Representative Modeling Via In-context Learning, by Gabriel Simmons and Vladislav Savinov
Assessing Generalization for Subpopulation Representative Modeling via In-Context Learningby Gabriel Simmons, Vladislav SavinovFirst submitted to…