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  • Pandey, Pradumn Kumar; Singh, Mayank; Goyal, Pawan; Mukherjee, Animesh; Chakrabarti, Soumen (Cornell University Library, 2019-12)
    Extensive literature demonstrates how the copying of references (links) canlead to the emergence of various structural properties (e.g., power-law degreedistribution and bipartite cores) in bibliographic and other similar ...
  • Mastan, Indra Deep; Raman, Shanmuganathan (Cornell University Library, 2019-12)
    Recently, there is a vast interest in developing methods which are independent of the training samples such as deep image prior, zero-shot learning, and internal learning. The methods above are based on the common goal of ...
  • Singh, Shubham Kumar; Miyapuram, Krishna P.; Raman, Shanmuganathan (Cornell University Library, 2019-11)
    Person re-identification aims to associate images of the same person over multiple non-overlapping camera views at different times. Depending on the human operator, manual re-identification in large camera networks is ...
  • Kumawat, Sudhakar; Raman, Shanmuganathan (Cornell University Library, 2020-01)
    In this paper, we propose a new convolutional layer called Depthwise-STFT Separable layer that can serve as an alternative to the standard depthwise separable convolutional layer. The construction of the proposed layer is ...
  • Singh, Davinder; Jain, Naman; Jain, Pranjali; Kayal, Pratik; Kumawat, Sudhakar; Batra, Nipun (Cornell University Library, 2019-11)
    India loses 35% of the annual crop yield due to plant diseases. Early detection of plant diseases remains difficult due to the lack of lab infrastructure and expertise. In this paper, we explore the possibility of computer ...
  • Dash, Saloni; Dutta, Ritik; Guyon, Isabelle; Pavao, Adrien; Yale, Andrew; Bennett, Kristin P. (Cornell University Library, 2019-11)
    Synthetic medical data which preserves privacy while maintaining utility can be used as an alternative to real medical data, which has privacy costs and resource constraints associated with it. At present, most models focus ...
  • Kayal, Pratik; Singh, Mayank; Goyal, Pawan (Cornell University Library, 2019-10)
    The task of learning a sentiment classification model that adapts well to any target domain, different from the source domain, is a challenging problem. Majority of the existing approaches focus on learning a common ...

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