7.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Harish-Chandra Research InstituteIN27 papers
- International Institute of Information TechnologyIN23 papers
- Homi Bhabha National InstituteIN20 papers
- Indian Institute of Science Education and Research ThiruvananthapuramIN20 papers
- Indian Institute of Science BangaloreIN15 papers
- Indian Institute of Technology HyderabadIN14 papers
- Institute of Physics, BhubaneshwarIN11 papers
- Birla Institute of Technology and Science, PilaniIN10 papers
- National University of SingaporeSG9 papers
- Indian Institute of Technology KanpurIN8 papers
- Université Libre de BruxellesBE8 papers
- Birla Institute of Technology and Science - Hyderabad CampusIN7 papers
6 papers · 2 filters
Sequential Variational Autoencoders for Collaborative Filtering
Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco +1
Variational autoencoders were proven successful in domains such as computer vision and speech processing. Their adoption for modeling user preferences is still unexplored, although…
FNNC: Achieving Fairness through Neural Networks
Padala Manisha, Sujit Gujar
In classification models fairness can be ensured by solving a constrained optimization problem. We focus on fairness constraints like Disparate Impact, Demographic Parity, and Equa…
Attention-based Neural Text Segmentation
Pinkesh Badjatiya, Litton J Kurisinkel, Manish Gupta +1
Text segmentation plays an important role in various Natural Language Processing (NLP) tasks like summarization, context understanding, document indexing and document noise removal…
Exact Passive-Aggressive Algorithms for Learning to Rank Using Interval Labels
Naresh Manwani, Mohit Chandra
In this paper, we propose exact passive-aggressive (PA) online algorithms for learning to rank. The proposed algorithms can be used even when we have interval labels instead of act…
Generative Adversarial Networks (GANs): What it can generate and What it cannot?
P Manisha, Sujit Gujar
In recent years, Generative Adversarial Networks (GANs) have received significant attention from the research community. With a straightforward implementation and outstanding resul…
DiGrad: Multi-Task Reinforcement Learning with Shared Actions
Parijat Dewangan, S Phaniteja, K Madhava Krishna +2
Most reinforcement learning algorithms are inefficient for learning multiple tasks in complex robotic systems, where different tasks share a set of actions. In such environments a…