Summary of Amclr: Unified Augmented Learning For Cross-modal Representations, by Ajay Jagannath et al.
AmCLR: Unified Augmented Learning for Cross-Modal Representationsby Ajay Jagannath, Aayush Upadhyay, Anant MehtaFirst submitted to…
Summary of Quantum-cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-making Simulations, by Milan Maksimovic and Ivan S. Maksymov
Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulationsby Milan Maksimovic, Ivan S.…
Summary of Accurate Prediction Of Temperature Indicators in Eastern China Using a Multi-scale Cnn-lstm-attention Model, by Jiajiang Shen et al.
Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention modelby Jiajiang Shen,…
Summary of Of Dice and Games: a Theory Of Generalized Boosting, by Marco Bressan et al.
Of Dice and Games: A Theory of Generalized Boostingby Marco Bressan, Nataly Brukhim, Nicolò Cesa-Bianchi,…
Summary of Em-net: Gaze Estimation with Expectation Maximization Algorithm, by Zhang Cheng et al.
EM-Net: Gaze Estimation with Expectation Maximization Algorithmby Zhang Cheng, Yanxia Wang, Guoyu XiaFirst submitted to…
Summary of Adversarial Autoencoders in Operator Learning, by Dustin Enyeart and Guang Lin
Adversarial Autoencoders in Operator Learningby Dustin Enyeart, Guang LinFirst submitted to arxiv on: 10 Dec…
Summary of On Faster Marginalization with Squared Circuits Via Orthonormalization, by Lorenzo Loconte et al.
On Faster Marginalization with Squared Circuits via Orthonormalizationby Lorenzo Loconte, Antonio VergariFirst submitted to arxiv…
Summary of Rumc: a Rule-based Classifier Inspired by Evolutionary Methods, By Melvin Mokhtari
RUMC: A Rule-based Classifier Inspired by Evolutionary Methodsby Melvin MokhtariFirst submitted to arxiv on: 10…
Summary of Protocol Learning, Decentralized Frontier Risk and the No-off Problem, by Alexander Long
Protocol Learning, Decentralized Frontier Risk and the No-Off Problemby Alexander LongFirst submitted to arxiv on:…
Summary of Phase-aware Training Schedule Simplifies Learning in Flow-based Generative Models, by Santiago Aranguri et al.
Phase-aware Training Schedule Simplifies Learning in Flow-Based Generative Modelsby Santiago Aranguri, Francesco InsullaFirst submitted to…