Summary of Multiple Choice Questions and Large Languages Models: a Case Study with Fictional Medical Data, by Maxime Griot et al.
Multiple Choice Questions and Large Languages Models: A Case Study with Fictional Medical Databy Maxime…
Summary of Grootvl: Tree Topology Is All You Need in State Space Model, by Yicheng Xiao et al.
GrootVL: Tree Topology is All You Need in State Space Modelby Yicheng Xiao, Lin Song,…
Summary of Improved Modelling Of Federated Datasets Using Mixtures-of-dirichlet-multinomials, by Jonathan Scott et al.
Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomialsby Jonathan Scott, Áine CahillFirst submitted to arxiv on:…
Summary of Contextual Dynamic Pricing: Algorithms, Optimality, and Local Differential Privacy Constraints, by Zifeng Zhao et al.
Contextual Dynamic Pricing: Algorithms, Optimality, and Local Differential Privacy Constraintsby Zifeng Zhao, Feiyu Jiang, Yi…
Summary of Harnessing Neural Unit Dynamics For Effective and Scalable Class-incremental Learning, by Depeng Li et al.
Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learningby Depeng Li, Tianqi Wang, Junwei…
Summary of Federated Class-incremental Learning with Hierarchical Generative Prototypes, by Riccardo Salami et al.
Federated Class-Incremental Learning with Hierarchical Generative Prototypesby Riccardo Salami, Pietro Buzzega, Matteo Mosconi, Mattia Verasani,…
Summary of A Generalized Apprenticeship Learning Framework For Modeling Heterogeneous Student Pedagogical Strategies, by Md Mirajul Islam et al.
A Generalized Apprenticeship Learning Framework for Modeling Heterogeneous Student Pedagogical Strategiesby Md Mirajul Islam, Xi…
Summary of Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-state Mdps, by Filippo Valdettaro and A. Aldo Faisal
Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPsby Filippo…
Summary of An Empirical Study Into Clustering Of Unseen Datasets with Self-supervised Encoders, by Scott C. Lowe et al.
An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encodersby Scott C. Lowe, Joakim…
Summary of Meta-learners For Partially-identified Treatment Effects Across Multiple Environments, by Jonas Schweisthal et al.
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environmentsby Jonas Schweisthal, Dennis Frauen, Mihaela van der…