Summary of Cross Domain Adaptation Using Adversarial Networks with Cyclic Loss, by Manpreet Kaur et al.
Cross Domain Adaptation using Adversarial networks with Cyclic lossby Manpreet Kaur, Ankur Tomar, Srijan Mishra,…
Cross Domain Adaptation using Adversarial networks with Cyclic lossby Manpreet Kaur, Ankur Tomar, Srijan Mishra,…
Composition of Experts: A Modular Compound AI System Leveraging Large Language Modelsby Swayambhoo Jain, Ravi…
RaD: A Metric for Medical Image Distribution Comparison in Out-of-Domain Detection and Other Applicationsby Nicholas…
An overview of diffusion models for generative artificial intelligenceby Davide Gallon, Arnulf Jentzen, Philippe von…
First numerical observation of the Berezinskii-Kosterlitz-Thouless transition in language modelsby Yuma Toji, Jun Takahashi, Vwani…
From Priest to Doctor: Domain Adaptation for Low-Resource Neural Machine Translationby Ali Marashian, Enora Rice,…
Homeostasis and Sparsity in Transformerby Leonid Kotyuzanskiy, Artem KlimovFirst submitted to arxiv on: 30 Nov…
Visual Modality Prompt for Adapting Vision-Language Object Detectorsby Heitor R. Medeiros, Atif Belal, Srikanth Muralidharan,…
NushuRescue: Revitalization of the Endangered Nushu Language with AIby Ivory Yang, Weicheng Ma, Soroush VosoughiFirst…
Towards Santali Linguistic Inclusion: Building the First Santali-to-English Translation Model using mT5 Transformer and Data…