Summary of Multi-layer Random Features and the Approximation Power Of Neural Networks, by Rustem Takhanov
Multi-layer random features and the approximation power of neural networksby Rustem TakhanovFirst submitted to arxiv…
Summary of Low Cost Machine Vision For Insect Classification, by Danja Brandt and Martin Tschaikner et al.
Low Cost Machine Vision for Insect Classificationby Danja Brandt, Martin Tschaikner, Teodor Chiaburu, Henning Schmidt,…
Summary of Tabular Data Contrastive Learning Via Class-conditioned and Feature-correlation Based Augmentation, by Wei Cui and Rasa Hosseinzadeh and Junwei Ma and Tongzi Wu and Yi Sui and Keyvan Golestan
Tabular Data Contrastive Learning via Class-Conditioned and Feature-Correlation Based Augmentationby Wei Cui, Rasa Hosseinzadeh, Junwei…
Summary of Causally Abstracted Multi-armed Bandits, by Fabio Massimo Zennaro et al.
Causally Abstracted Multi-armed Banditsby Fabio Massimo Zennaro, Nicholas Bishop, Joel Dyer, Yorgos Felekis, Anisoara Calinescu,…
Summary of Mcsdnet: Mesoscale Convective System Detection Network Via Multi-scale Spatiotemporal Information, by Jiajun Liang et al.
MCSDNet: Mesoscale Convective System Detection Network via Multi-scale Spatiotemporal Informationby Jiajun Liang, Baoquan Zhang, Yunming…
Summary of An Explainable Deep Reinforcement Learning Model For Warfarin Maintenance Dosing Using Policy Distillation and Action Forging, by Sadjad Anzabi Zadeh et al.
An Explainable Deep Reinforcement Learning Model for Warfarin Maintenance Dosing Using Policy Distillation and Action…
Summary of Making Better Use Of Unlabelled Data in Bayesian Active Learning, by Freddie Bickford Smith et al.
Making Better Use of Unlabelled Data in Bayesian Active Learningby Freddie Bickford Smith, Adam Foster,…
Summary of Contrastive Learning and Mixture Of Experts Enables Precise Vector Embeddings, by Logan Hallee et al.
Contrastive Learning and Mixture of Experts Enables Precise Vector Embeddingsby Logan Hallee, Rohan Kapur, Arjun…
Summary of A Study Of Acquisition Functions For Medical Imaging Deep Active Learning, by Bonaventure F. P. Dossou
A Study of Acquisition Functions for Medical Imaging Deep Active Learningby Bonaventure F. P. DossouFirst…
Summary of Bayesian Nonparametrics Meets Data-driven Distributionally Robust Optimization, by Nicola Bariletto et al.
Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimizationby Nicola Bariletto, Nhat HoFirst submitted to arxiv on:…