no code implementations • NAACL (SIGTYP) 2021 • Andreas Scherbakov, Liam Whittle, Ritesh Kumar, Siddharth Singh, Matthew Coleman, Ekaterina Vylomova
The paper presents Anlirika’s submission to SIGTYP 2021 Shared Task on Robust Spoken Language Identification.
1 code implementation • 22 Mar 2022 • Siddharth Singh, Ritesh Kumar, Shyam Ratan, Sonal Sinha
The interface allows creation of multiple projects that could be shared with the other users.
no code implementations • 19 Nov 2021 • Ritesh Kumar, Enakshi Nandi, Laishram Niranjana Devi, Shyam Ratan, Siddharth Singh, Akash Bhagat, Yogesh Dawer
In this paper, we discuss the development of a multilingual dataset annotated with a hierarchical, fine-grained tagset marking different types of aggression and the "context" in which they occur.
no code implementations • 9 Nov 2021 • Shu-Huai Lin, Daniel Nichols, Siddharth Singh, Abhinav Bhatele
This phenomenon has spurred the development of algorithms for distributed training of neural networks over a larger number of hardware accelerators.
no code implementations • 25 Oct 2021 • Siddharth Singh, Abhinav Bhatele
This has necessitated the development of efficient algorithms to train these neural networks in parallel on large-scale GPU-based clusters.
no code implementations • 24 Aug 2021 • Brandon Leung, Siddharth Singh, Arik Horodniceanu
Results are performed with ShapeNet as the source domain and domains within the Object Dataset Domain Suite (ODDS) dataset as the target, which is a real world multiview, multidomain image dataset.
2 code implementations • ICLR 2022 • Georgios Georgakis, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Kostas Daniilidis
We consider the problem of object goal navigation in unseen environments.
1 code implementation • 12 Jul 2020 • Shalmoli Ghosh, Prajwal Singhania, Siddharth Singh, Koustav Rudra, Saptarshi Ghosh
Online forums and social media platforms are increasingly being used to discuss topics of varying polarities where different people take different stances.
no code implementations • LREC 2020 • Shiladitya Bhattacharya, Siddharth Singh, Ritesh Kumar, Akanksha Bansal, Akash Bhagat, Yogesh Dawer, Bornini Lahiri, Atul Kr. Ojha
In this paper, we discuss the development of a multilingual annotated corpus of misogyny and aggression in Indian English, Hindi, and Indian Bangla as part of a project on studying and automatically identifying misogyny and communalism on social media (the ComMA Project).
no code implementations • 15 Jan 2020 • Pinkesh Badjatiya, Mausoom Sarkar, Abhishek Sinha, Siddharth Singh, Nikaash Puri, Jayakumar Subramanian, Balaji Krishnamurthy
We show how agents trained with SQLoss evolve cooperative behavior in several social dilemma matrix games.
no code implementations • 24 Oct 2019 • Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, Chelsea Finn
This leads to a frequent tension in robotic learning: how can we learn generalizable robotic controllers without having to collect impractically large amounts of data for each separate experiment?
no code implementations • 11 Aug 2018 • Tsung-Ting Kuo, Jina Huh, Ji-Hoon Kim, Robert El-Kareh, Siddharth Singh, Stephanie Feudjio Feupe, Vincent Kuri, Gordon Lin, Michele E. Day, Lucila Ohno-Machado, Chun-Nan Hsu
Our study introduces CLEAN (CLinical note rEview and ANnotation), a pre-annotation-based cNLP annotation system to improve clinical note annotation of data elements, and comprehensively compares CLEAN with the widely-used annotation system Brat Rapid Annotation Tool (BRAT).
no code implementations • ICLR 2018 • Oleg Rybakov, Vijai Mohan, Avishkar Misra, Scott LeGrand, Rejith Joseph, Kiuk Chung, Siddharth Singh, Qian You, Eric Nalisnick, Leo Dirac, Runfei Luo
We present a personalized recommender system using neural network for recommending products, such as eBooks, audio-books, Mobile Apps, Video and Music.