• Analysis of reference and citation copying in evolving bibliographic networks 

  Pandey, Pradumn Kumar; Singh, Mayank; Goyal, Pawan; Mukherjee, Animesh; Chakrabarti, Soumen (Elsevier, 2019-12)
• DCIL: Deep Contextual Internal Learning for image restoration and image retargeting 

  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 ...
• DCIL: Deep Contextual Internal Learning for image restoration and image retargeting 

  Mastan, Indra Deep; Raman, Shanmuganathan (02-03-20)
• NLPExplorer: exploring the universe of NLP papers 

  Parmar, Monarch; Jain, Naman; Jain, Pranjali; Sahit, P. Jayakrishna; Pachpande, Soham; Singh, Shruti; Singh, Mayank (14-04-20)
• Active collaborative sensing for energy breakdown 

  Jia, Yiling; Batra, Nipun; Wang, Hongning (2019-11-03)
• PlantDoc: a dataset for visual plant disease detection 

  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 ...
• A parameterized perspective on protecting elections 

  Dey, Palash; Misra, Neeldhara; Nath, Swaprava; Shakya, Garima (2019-08-10)
• Synthetic Event Time Series Health Data Generation 

  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 ...
• DeepPFCN: Deep Parallel Feature Consensus Network For Person Re-Identification 

  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 ...
• MSP-N: multiple selection procedure with 'N' possible growth mechanisms 

  Pandey, Pradumn Kumar; Singh, Mayank (Public Library of Science, 2019)
• The rise and rise of interdisciplinary research: Understanding the interaction dynamics of three major fields - Physics, Mathematics and Computer Science 

  Hazra, Rima; Singh, Mayank; Goyal, Pawan; Adhikari, Bibhas; Mukherjee, Animesh (2019-11-04)

  The distinction between sciences is becoming increasingly more artificial -- an approach from one area can be easily applied to the other. More exciting research nowadays is happening perhaps at the interfaces of disciplines ...
• The evolving ecosystem of predatory journals: a case study in Indian perspective 

  Jain, Naman; Singh, Mayank (2019-11-04)
• Weakly-Supervised Deep Learning for Domain Invariant Sentiment Classification 

  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 ...
• DeepPFCN: deep parallel feature consensus network for person re-identification 

  Singh, Shubham; Miyapuram, Krishna P.; Raman, Shanmuganathan (2019-12-22)
• Exploring temporal differences in 3D convolutional neural networks 

  Kanojia, Gagan; Kumawat, Sudhakar; Raman, Shanmuganathan (2019-12-22)
• NLPExplorer: exploring the universe of NLP papers 

  Parmar, Monarch; Jain, Naman; Jain, Pranjali; Sahit, P. Jayakrishna; Pachpande, Soham; Singh, Shruti; Singh, Mayank (Cornell University Library, 2019-10)

  Understanding the current research trends, problems, and their innovative solutions remains a bottleneck due to the ever-increasing volume of scientific articles. In this paper, we propose NLPExplorer, a completely automatic ...
• On the parameterized complexity of party nominations 

  Misra, Neeldhara (2019-10-25)
• A demonstration of reproducible state-of-the-art energy disaggregation using NILMTK 

  Batra, Nipun; Kukunuri, Rithwik; Pandey, Ayush; Malakar, Raktim; Kumar, Rajat; Krystalakos, Odysseas; Zhong, Minhjun, Meira, Paulo; Parson, Oliver (American Chemical Society, 2019-11-13)
• Towards reproducible state-of-the-art energy disaggregation 

  Batra, Nipun; Kukunuri, Rithwik; Pandey, Ayush; Malakar, Raktim; Kumar, Rajat; Krystalakos, Odysseas; Zhong, Minhjun, Meira, Paulo; Parson, Oliver (American Chemical Society, 2019-11-13)
• Neuralcompression: a machine learning approach to compress high frequency measurements in smart grid 

  Das, Laya; Garg, Dinesh; Srinivasan, Babji (Elsevier, 2019-09)

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