Browsing E-print Articles by Title

Browsing E-print Articles by Title

Sort by: Order: Results:

  • Desai, Harsh; Kayal, Pratik; Singh, Mayank (Cornell University, 2021-05)
    Information Extraction (IE) from the tables present in scientific articles is challenging due to complicated tabular representations and complex embedded text. This paper presents TabLeX, a large-scale benchmark dataset ...
  • Singh, Prajwal; Sadekar, Kaustubh; Raman, Shanmuganathan (Cornell University Library, 2021-10)
    Point cloud is an efficient way of representing and storing 3D geometric data. Deep learning algorithms on point clouds are time and memory efficient. Several methods such as PointNet and FoldingNet have been proposed for ...
  • Jain, Naman; Singh, Mayank (Cornell University Library, 2021-06)
    Nowadays, researchers have moved to platforms like Twitter to spread information about their ideas and empirical evidence. Recent studies have shown that social media affects the scientific impact of a paper. However, these ...
  • Sawant, Shriraj P.; Singh, Shruti (Cornell University Library, 2020-12)
    Attention is a complex and broad concept, studied across multiple disciplines spanning artificial intelligence, cognitive science, psychology, neuroscience, and related fields. Although many of the ideas regarding attention ...
  • Pandey, Pankaj; Swarnkar, Raunak; Kakaria, Shobhit; Miyapuram, Krishna Prasad (Cornell University Library, 2020-07)
    Neuromarketing aims to understand consumer behavior using neuroscience. Brain imaging tools such as EEG have been used to better understand consumer behavior that goes beyond self-report measures which can be a more accurate ...
  • 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 ...
  • Agrawal, Garima; Karlapalem, Kamalakar (Cornell University Library, 2016-02)
    Robots playing games that humans are adept in is a challenge. We studied robotic agents playing Chain Catch game as a Multi-Agent System (MAS). Our game starts with a traditional Catch game similar to Pursuit evasion, and ...

Search Digital Repository


Browse

My Account