• End to end binarized neural networks for text classification 

  Jain, Harshil; Agarwal, Akshat; Shridhar, Kumar; Kleyko, Denis (Cornell University Library, 2020-10)

  Deep neural networks have demonstrated their superior performance in almost every Natural Language Processing task, however, their increasing complexity raises concerns. In particular, these networks require high expenses ...
• GSLICE: controlled spatial sharing of GPUs for a scalable inference platform 

  Dhakal, Aditya; Kulkarni, Sameer G.; Ramakrishnan, K. K. (2020-10-19)
• Non-clairvoyant scheduling of coflows 

  Bhimaraju, Akhil; Nayak, Debanuj; Vaze, Rahul (2020-06-15)
• Quantifying nonrandomness in evolving networks 

  Pandey, Pradumn Kumar; Singh, Mayank (Institute of Electrical and Electronics Engineers, 2020-10)

  Complex systems have been successfully modeled as networks exhibiting the varying extent of randomness and nonrandomness. Network scientists contemplate randomness as one of the most desirable characteristics for real ...
• On additive approximate submodularity 

  Chierichetti, Flavio; Dasgupta, Anirban; Kumar, Ravi (Cornell University Library, 2020-10)
• Classifying oscillatory signatures of expert vs nonexpert meditators 

  Pandey, Pankaj; Miyapuram, Krishna Prasad (2020-07-19)
• Improved FPT algorithms for deletion to forest-like structures 

  Gowda, Kishen N.; Lonkar, Aditya; Panolan, Fahad; Patel, Vraj; Saurabh, Saket (Cornell University Library, 2020-09)
• Imbalance parameterized by twin cover revisited 

  Misra, Neeldhara; Mittal, Harshil (29-08-20)
• Augmented convolutional LSTMs for generation of high-resolution climate change projections 

  Harilal, Nidhin; Bhatia, Udit; Singh, Mayank (Cornell University Library, 2020-09)
• Special issue new frontiers in parameterized complexity and algorithms: foreward by the guest editors 

  Misra, Neeldhara; Rosamond, Frances; Zehavi, Meirav (MDPI, 2020-09)

  This Special Issue contains eleven articles�surveys and research papers�that represent fresh and ambitious new directions in the area of Parameterized Complexity. They provide ground-breaking research at the frontiers of ...
• Multiple source replacement path problem 

  Gupta, Manoj; Jain, Rahul; Modi, Nitiksha (03-08-20)
• Efficient hierarchical clustering for classification and anomaly detection 

  Doshi, Ishita; Sajjalla, Sreekalyan; Choudhari, Jayesh; Bhatt, Rushi; Dasgupta, Anirban (Cornell University Library, 2020-08)

  We address the problem of large scale real time classification of content posted on social networks, along with the need to rapidly identify novel spam types. Obtaining manual labels for user generated content using editorial ...
• Spatial sharing of GPU for autotuning DNN models 

  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 ...
• Gandhipedia: a one-stop AI-enabled portal for browsing Gandhian literature, life-events and his social network 

  Adak, Sayantan; Vyas, Atharva; Mukherjee, Animesh; Ambavi, Heer; Kadasi, Pritam; Singh, Mayank; Patel, Shivam (2020-08-01)
• Understanding consumer preferences for movie trailers from EEG using machine learning 

  Pandey, Pankaj; Swarnkar, Raunak; Kakaria, Shobhit; Miyapuram, Krishna Prasad (2019-12-10)
• PredCheck: detecting predatory behaviour in scholarly world 

  Bedmutha, Manas Satish; Modi, Kaushal; Patel, Kevin; Jain, Naman; Singh, Mayank (2020-08-01)
• Identification, tracking and impact: understanding the trade secret of catchphrases 

  Jalal, Jagriti; Singh, Mayank; Pal, Arindam; Dey, Lipika; Mukherjee, Animesh (2020-08-01)
• SEAL: Scientific keyphrase extraction and classification 

  Garg, Ayush; Kagi, Sammed Shantinath; Singh, Mayank (2020-08-01)
• A multistep priority-based ranking for top-N recommendation using social and tag information 

  Banerjee, Suman; Banjare, Pratik; Pal, Bithika; Jenamani, Mamata (Springer, 2020-08)

  Recommender system is a collection of information retrieval tools and techniques used for recommending items to users based on their choices. For improving recommendation accuracy, the use of extra information (e.g., social, ...
• Bollyrics: automatic lyrics generator for Romanised Hindi 

  Jain, Naman; Chauhan, Ankush; Chewale, Atharva; Mithbavkar, Ojas; Shah, Ujjaval; Singh, Mayank (Cornell University Library, 2020-07)

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