Browsing E-print Articles by Title

Browsing E-print Articles by Title

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  • Challenges and considerations with code-mixed NLP for multilingual societies 
    Srivastava, Vivek; Singh, Mayank (Cornell University Library, 2021-06)
    Multilingualism refers to the high degree of proficiency in two or more languages in the written and oral communication modes. It often results in language mixing, a.k.a. code-mixing, when a multilingual speaker switches ...
  • Chess is hard even for a single player 
    Aravind, N. R.; Misra, Neeldhara; Mittal, Harshil (Cornell University Library, 2022-03)
    We introduce a generalization of "Solo Chess", a single-player variant of the game that can be played on this http URL. The standard version of the game is played on a regular 8 x 8 chessboard by a single player, with only ...
  • COMPARE: a taxonomy and dataset of comparison discussions in peer reviews 
    Singh, Shruti; Singh, Mayank; Goyal, Pawan (Cornell University Library, 2021-08)
    Comparing research papers is a conventional method to demonstrate progress in experimental research. We present COMPARE, a taxonomy and a dataset of comparison discussions in peer reviews of research papers in the domain ...
  • Complexity of manipulation with partial information in Voting 
    Dey, Palash; Misra, Neeldhara (Cornell University Library, 2016-04)
    The Coalitional Manipulation problem has been studied extensively in the literature for many voting rules. However, most studies have focused on the complete information setting, wherein the manipulators know the votes of ...
  • 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 ...
  • DeepCFL: Deep Contextual Features Learning from a single image 
    Mastan, Indra Deep; Raman, Shanmuganathan (Cornell University Library, 2020-11)
    Recently, there is a vast interest in developing image feature learning methods that are independent of the training data, such as deep image prior, InGAN, SinGAN, and DCIL. These methods are unsupervised and are used to ...
  • DeepObjStyle: deep object-based photo style transfer 
    Mastan, Indra Deep; Raman, Shanmuganathan (Cornell University Library, 2020-12)
    One of the major challenges of style transfer is the appropriate image features supervision between the output image and the input (style and content) images. An efficient strategy would be to define an object map between ...
  • 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 ...
  • Depthwise spatio-temporal STFT convolutional neural networks for human action recognition 
    Kumawat, Sudhakar; Verma, Manisha; Nakashima, Yuta; Raman, Shanmuganathan (Cornell University Library, 2020-07)
    Conventional 3D convolutional neural networks (CNNs) are computationally expensive, memory intensive, prone to overfitting, and most importantly, there is a need to improve their feature learning capabilities. To address ...
  • Depthwise-STFT based separable Convolutional Neural Networks 
    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 ...
  • Designing and connectivity checking of implicit social networks from the user-item rating data 
    Banerjee, Suman (Cornell University Library, 2020-04)
  • DILIE: deep internal learning for image enhancement 
    Mastan, Indra Deep; Raman, Shanmuganathan (Cornell University Library, 2020-12)
    We consider the generic deep image enhancement problem where an input image is transformed into a perceptually better-looking image. Recent methods for image enhancement consider the problem by performing style transfer ...
  • Discovering topical interactions in text-based cascades using hidden Markov Hawkes processes 
    Bedathur, Srikanta; Bhattacharya, Indrajit; Choudhari, Jayesh; Dasgupta, Anirban (Cornell University Library, 2018-09)
    Social media conversations unfold based on complex interactions between users, topics and time. While recent models have been proposed to capture network strengths between users, users' topical preferences and temporal ...
  • DySky: dynamic skyline queries on uncertain graphs 
    Banerjee, Suman; Pal, Bithika (Cornell University Library, 2020-04)
    Given a graph, and a set of query vertices (subset of the vertices), the dynamic skyline query problem returns a subset of data vertices (other than query vertices) which are not dominated by other data vertices based on ...
  • Earned benefit maximization in social networks under budget constraint 
    Banerjee, Suman; Jenamani, Mamata; Pratihar, Dilip Kumar (Cornell University Library, 2020-04)
    Given a social network with nonuniform selection cost of the users, the problem of \textit{Budgeted Influence Maximization} (BIM in short) asks for selecting a subset of the nodes within an allocated budget for initial ...
  • 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 ...
  • An efficient updation approach for enumerating maximal (?, ?)-cliques of a temporal network 
    Banerjee, Suman; Pal, Bithika (Cornell University Library, 2020-07)
  • 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 ...
  • The Entropy Influence Conjecture Revisited 
    Das, Bireswar; Pal, Manjish; Visavaliya, Vijay (arXiv, Cornell University Library, 2011-10)
    In this paper, we prove that most of the boolean functions, f : {−1, 1} n → {−1, 1}satisfy the Fourier Entropy Influence (FEI) Conjecture due to Friedgut and Kalai(Proc. AMS’96)[1]. The conjecture says that the Entropy of ...
  • Equitable division of a path 
    Misra, Neeldhara; Sonar, Chinmay; Vaidyanathan, P. R.; Vaish, Rohit (Cornell University Library, 2021-01)
    We study fair resource allocation under a connectedness constraint wherein a set of indivisible items are arranged on a path and only connected subsets of items may be allocated to the agents. An allocation is deemed fair ...

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