Browsing E-print Articles by Title

Browsing E-print Articles by Title

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  • 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 ...
  • Srivastava, Vivek; Singh, Mayank (Cornell University Library, 2020-10)
    WhatsApp Messenger is one of the most popular channels for spreading information with a current reach of more than 180 countries and 2 billion people. Its widespread usage has made it one of the most popular media for ...
  • Das, Bireswar; Enduri, Murali Krishna; Reddy, I. Vinod (Cornell University Library, 2015-06)
    The clique-width is a measure of complexity of decomposing graphs into certain tree-like structures. The class of graphs with bounded clique-width contains bounded tree-width graphs. While there are many results on the ...
  • Dey, Palash; Misra, Neeldhara (Cornell University Library, 2016-04)
    Eliciting the preferences of a set of agents over a set of alternatives is a problem of fundamental importance in social choice theory. Prior work on this problem has studied the query complexity of preference elicitation ...
  • Srivastava, Vivek; Singh, Mayank (Cornell University Library, 2021-08)
    In this shared task, we seek the participating teams to investigate the factors influencing the quality of the code-mixed text generation systems. We synthetically generate code-mixed Hinglish sentences using two distinct ...
  • 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 ...
  • Misra, Neeldhara; Mittal, Harshil; Sethia, Aditi (Cornell University Library, 2020-05)
    Given a set R of red points and a set B of blue points in the plane, the Red-Blue point separation problem asks if there are at most k lines that separate R from B, that is, each cell induced by the lines of the solution ...
  • Hazra, Rima; Singh, Mayank; Goyal, Pawan; Adhikari, Bibhas; Mukherjee, Animesh (Cornell University Library, 2019-08)
    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 ...
  • Choudhari, Jayesh; Dasgupta, Anirban; Misra, Neeldhara; Ramanujan, M. S. (Cornell University Library, 2017-05)
  • Dasgupta, Anirban; Sengupta, Srijan (Cornell University Library, 2020-07)
    Infectious or contagious diseases can be transmitted from one person to another through social contact networks. In today's interconnected global society, such contagion processes can cause global public health hazards, ...
  • Garg, Ayush; Kagi, Sammed Shantinath; Singh, Mayank (Cornell University Library, 2020-06)
  • Sadekar, Kaustubh; Tiwari, Ashish; Raman, Shanmuganathan (Cornell University Library, 2021-07)
    While recent learning based methods have been observed to be superior for several vision-related applications, their potential in generating artistic effects has not been explored much. One such interesting application is ...
  • Kumawat, Sudhakar; Kanojia, Gagan; Raman, Shanmuganathan (Cornell University Library, 2021-06)
    Deep neural networks have enormous representational power which leads them to overfit on most datasets. Thus, regularizing them is important in order to reduce overfitting and enhance their generalization capabilities. ...
  • Gupta, Manoj; Khan, Shahbaz (Cornell University Library, 2018-04)
  • Das, Bireswar; Sharma, Shivdutt; Vaidyanathan, P. R. (Cornell University Library, 2020-02)
  • Garg, Dinesh; Kakkar, Vishal; Shevade, Shirish Krishnaj; Sundararajan, S. (Cornell University Library, 2016-12)
    AUC (Area under the ROC curve) is an important performance measure for applications where the data is highly imbalanced. Learning to maximize AUC performance is thus an important research problem. Using a max-margin based ...
  • Dhakal, Aditya; Cho, Junguk; Kulkarni, Sameer G.; Ramakrishnan, K. K.; Sharma, Puneet (Cornell University Library, 2020-08)
    GPUs are used for training, inference, and tuning the machine learning models. However, Deep Neural Network (DNN) vary widely in their ability to exploit the full power of high-performance GPUs. Spatial sharing of GPU ...
  • Adhikary, Rishiraj; Lodhavia, Dhruvi; Francis, Chris; Patil, Rohit; Srivastava, Tanmay; Khanna, Prerna; Batra, Nipun; Breda, Joe; Peplinski, Jacob; Patel, Shwetak (Cornell University Library, 2022-01)
    According to the World Health Organisation (WHO), 235 million people suffer from respiratory illnesses and four million people die annually due to air pollution. Regular lung health monitoring can lead to prognoses about ...
  • Sadasivan, Vinu Sankar; Dasgupta, Anirban (Cornell University Library, 2021-02)
    Curriculum learning is a training strategy that sorts the training examples by some measure of their difficulty and gradually exposes them to the learner to improve the network performance. In this work, we propose two ...
  • Chhaya, Rachit; Choudhari, Jayesh; Dasgupta, Anirban; Shit, Supratim (Cornell University Library, 2020-06)

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