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Recent advancements in self-supervised paradigms for visual feature representation

Anand, Mrinal; Garg, Aditya (Cornell University Library, 2021-11)

We witnessed a massive growth in the supervised learning paradigm in the past decade. Supervised learning requires a large amount of labeled data to reach state-of-the-art performance. However, labeling the samples requires ...
On fair division with binary valuations respecting social networks

Misra, Neeldhara; Nayak, Debanuj (Cornell University Library, 2021-11)

We study the computational complexity of finding fair allocations of indivisible goods in the setting where a social network on the agents is given. Notions of fairness in this context are "localized", that is, agents are ...
FMD-cGAN: Fast Motion Deblurring using Conditional Generative Adversarial Networks

Kumar, Jatin; Mastan, Indra Deep; Raman, Shanmuganathan (Cornell University Library, 2021-11)

In this paper, we present a Fast Motion Deblurring-Conditional Generative Adversarial Network (FMD-cGAN) that helps in blind motion deblurring of a single image. FMD-cGAN delivers impressive structural similarity and visual ...

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