Summary of Collective Model Intelligence Requires Compatible Specialization, by Jyothish Pari et al.
Collective Model Intelligence Requires Compatible Specializationby Jyothish Pari, Samy Jelassi, Pulkit AgrawalFirst submitted to arxiv…
Summary of Provably Transformers Harness Multi-concept Word Semantics For Efficient In-context Learning, by Dake Bu et al.
Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learningby Dake Bu, Wei Huang, Andi…
Summary of Targeted Learning For Variable Importance, by Xiaohan Wang et al.
Targeted Learning for Variable Importanceby Xiaohan Wang, Yunzhe Zhou, Giles HookerFirst submitted to arxiv on:…
Summary of Variable Selection in Convex Piecewise Linear Regression, by Haitham Kanj et al.
Variable Selection in Convex Piecewise Linear Regressionby Haitham Kanj, Seonho Kim, Kiryung LeeFirst submitted to…
Summary of Positive Experience Reflection For Agents in Interactive Text Environments, by Philip Lippmann et al.
Positive Experience Reflection for Agents in Interactive Text Environmentsby Philip Lippmann, Matthijs T.J. Spaan, Jie…
Summary of Towards Safe Bayesian Optimization with Wiener Kernel Regression, by Oleksii Molodchyk et al.
Towards safe Bayesian optimization with Wiener kernel regressionby Oleksii Molodchyk, Johannes Teutsch, Timm FaulwasserFirst submitted…
Summary of Counterfactual Explanations Via Riemannian Latent Space Traversal, by Paraskevas Pegios et al.
Counterfactual Explanations via Riemannian Latent Space Traversalby Paraskevas Pegios, Aasa Feragen, Andreas Abildtrup Hansen, Georgios…
Summary of Combining Induction and Transduction For Abstract Reasoning, by Wen-ding Li et al.
Combining Induction and Transduction for Abstract Reasoningby Wen-Ding Li, Keya Hu, Carter Larsen, Yuqing Wu,…
Summary of Breaking the Reclustering Barrier in Centroid-based Deep Clustering, by Lukas Miklautz et al.
Breaking the Reclustering Barrier in Centroid-based Deep Clusteringby Lukas Miklautz, Timo Klein, Kevin Sidak, Collin…
Summary of Elu-gcn: Effectively Label-utilizing Graph Convolutional Network, by Jincheng Huang et al.
ELU-GCN: Effectively Label-Utilizing Graph Convolutional Networkby Jincheng Huang, Yujie Mo, Xiaoshuang Shi, Lei Feng, Xiaofeng…