đRobustness to Spurious Correlations via Human Annotations.
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đDeep Neural-Kernel Machines.
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đStoring Encoded Episodes as Concepts for Continual Learning.
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đShuffling Recurrent Neural Networks.
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đLearning Syllogism with Euler Neural-Networks.
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đThe Effect of Strategic Noise in Linear Regression.
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đLong-tail learning via logit adjustment.
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đA fractal viewpoint to COVID-19 infection.
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đRelaxed-Responsibility Hierarchical Discrete VAEs.
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đOptimal Learning for Structured Bandits.
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
Forwarded from ڊاŮا٠اءŮاؚâعساŮŰ Ř˘Ř˛Ů
اŰشگا٠سٞŮŘą (Ali Reza Feizi Derakhshi)
#Ů
ŮاŮŮ
ŘšŮŮاŮ:
BERTERS: Multimodal Representation Learning for Expert Recommendation System with Transformer
Ů ŘŹŮŮ: ArXiv
ArXiv: 2007.07229
@cominsys_channel
ŘšŮŮاŮ:
BERTERS: Multimodal Representation Learning for Expert Recommendation System with Transformer
Ů ŘŹŮŮ: ArXiv
ArXiv: 2007.07229
@cominsys_channel
đPrecision cosmology with voids in the final BOSS data.
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đMissing in Action: New Physics and the Black Hole Mass Gap.
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đKernel Method based on Non-Linear Coherent State.
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python
đPDF
#arXiv
đŁ @AI_Python_arXiv
â´ď¸ @AI_Python_EN
âď¸ @AI_Python