1 code implementation • EMNLP (ACL) 2021 • Nupur Jain, Vivek Gupta, Anshul Rai, Gaurav Kumar
To grasp the true reasoning ability, the Natural Language Inference model should be evaluated on counterfactual data.
no code implementations • MTSummit 2021 • Gaurav Kumar, Philipp Koehn, Sanjeev Khudanpur
Low-resource Multilingual Neural Machine Translation (MNMT) is typically tasked with improving the translation performance on one or more language pairs with the aid of high-resource language pairs.
1 code implementation • 24 Mar 2024 • Abhisek Ray, Gaurav Kumar, Maheshkumar H. Kolekar
To overcome these weaknesses, we propose a non-overlapping triangular window technique that synchronously works with the rectangular one to mitigate boundary-level distortion and allows the model to access more unique sifting modes.
no code implementations • 26 Feb 2024 • Babak Ehteshami Bejnordi, Gaurav Kumar, Amelie Royer, Christos Louizos, Tijmen Blankevoort, Mohsen Ghafoorian
In this work, we propose \textit{InterroGate}, a novel multi-task learning (MTL) architecture designed to mitigate task interference while optimizing inference computational efficiency.
1 code implementation • 2 Aug 2021 • Nupur Jain, Vivek Gupta, Anshul Rai, Gaurav Kumar
To truly grasp reasoning ability, a Natural Language Inference model should be evaluated on counterfactual data.
1 code implementation • 16 Jun 2021 • Xiaomeng Dong, Tao Tan, Michael Potter, Yun-chan Tsai, Gaurav Kumar, V. Ratna Saripalli, Theodore Trafalis
There is a parameter ubiquitous throughout the deep learning world: learning rate.
1 code implementation • 16 Jun 2021 • Xiaomeng Dong, Michael Potter, Gaurav Kumar, Yun-chan Tsai, V. Ratna Saripalli, Theodore Trafalis
It is no secret amongst deep learning researchers that finding the optimal data augmentation strategy during training can mean the difference between state-of-the-art performance and a run-of-the-mill result.
no code implementations • 11 Mar 2021 • Gaurav Kumar, Philipp Koehn, Sanjeev Khudanpur
Low-resource Multilingual Neural Machine Translation (MNMT) is typically tasked with improving the translation performance on one or more language pairs with the aid of high-resource language pairs.
no code implementations • WMT (EMNLP) 2021 • Gaurav Kumar, Philipp Koehn, Sanjeev Khudanpur
These feature weights which are optimized directly for the task of improving translation performance, are used to score and filter sentences in the noisy corpora more effectively.
no code implementations • 10 Mar 2021 • Gaurav Kumar, Ashoke De
The present work seeks out to investigate the origin of such oscillations in a low enthalpy hypersonic flow with different aft wedge angles and wedge length ratios. In the current study, viscous flow over a double wedge at Mach 7 and fore wedge angle of 30{\deg} is considered.
Fluid Dynamics
2 code implementations • 14 Nov 2020 • Augustin Harter, Andrew Melnik, Gaurav Kumar, Dhruv Agarwal, Animesh Garg, Helge Ritter
We propose a new deep learning model for goal-driven tasks that require intuitive physical reasoning and intervention in the scene to achieve a desired end goal.
1 code implementation • 22 May 2020 • Shreyas Bapat, Ritwik Saha, Bhavya Bhatt, Shilpi Jain, Akshita Jain, Sofía Ortín Vela, Priyanshu Khandelwal, Jyotirmaya Shivottam, Jialin Ma, Gim Seng Ng, Pratyush Kerhalkar, Hrishikesh Sudam Sarode, Rishi Sharma, Manvi Gupta, Divya Gupta, Tushar Tyagi, Tanmay Rustagi, Varun Singh, Saurabh Bansal, Naman Tayal, Abhijeet Manhas, Raphael Reyna, Gaurav Kumar, Govind Dixit, Ratin Kumar, Sashank Mishra, Alpesh Jamgade, Raahul Singh, Rohit Sanjay, Khalid Shaikh, Bhavam Vidyarthi, Shamanth R Nayak K, Vineet Gandham, Nimesh Vashistha, Arnav Das, Saurabh, Shreyas Kalvankar, Ganesh Tarone, Atul Mangat, Suyog Garg, Bibek Gautam, Sitara Srinivasan, Aayush Gautam, Swaastick Kumar Singh, Suyash Salampuria, Zac Yauney, Nihar Gupte, Gagan Shenoy, Micky Yun Chan
Python is a free, easy to use a high-level programming language which has seen a huge expansion in the number of its users and developers in recent years.
General Relativity and Quantum Cosmology Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics 83-04
no code implementations • LREC 2020 • Gaurav Kumar, Rishabh Joshi, Jaspreet Singh, Promod Yenigalla
The problem of building a coherent and non-monotonous conversational agent with proper discourse and coverage is still an area of open research.
no code implementations • 7 Oct 2019 • Xiaomeng Dong, Jun-Pyo Hong, Hsi-Ming Chang, Michael Potter, Aritra Chowdhury, Purujit Bahl, Vivek Soni, Yun-chan Tsai, Rajesh Tamada, Gaurav Kumar, Caroline Favart, V. Ratna Saripalli, Gopal Avinash
As the complexity of state-of-the-art deep learning models increases by the month, implementation, interpretation, and traceability become ever-more-burdensome challenges for AI practitioners around the world.
no code implementations • NAACL 2019 • Xuan Zhang, Pamela Shapiro, Gaurav Kumar, Paul McNamee, Marine Carpuat, Kevin Duh
We introduce a curriculum learning approach to adapt generic neural machine translation models to a specific domain.
1 code implementation • 26 Apr 2019 • Gaurav Kumar, Francis G. VanGessel, Daniel C. Elton, Peter W. Chung
This is likely because diffusive carriers contribute to over 95% of the thermal conductivity in ${\alpha}$-RDX.
Materials Science
2 code implementations • NAACL 2019 • Reno Kriz, João Sedoc, Marianna Apidianaki, Carolina Zheng, Gaurav Kumar, Eleni Miltsakaki, Chris Callison-Burch
Sentence simplification is the task of rewriting texts so they are easier to understand.
Ranked #4 on Text Simplification on Newsela
no code implementations • NAACL 2019 • Gaurav Kumar, George Foster, Colin Cherry, Maxim Krikun
We consider the problem of making efficient use of heterogeneous training data in neural machine translation (NMT).
1 code implementation • 2 Nov 2018 • Xuan Zhang, Gaurav Kumar, Huda Khayrallah, Kenton Murray, Jeremy Gwinnup, Marianna J. Martindale, Paul McNamee, Kevin Duh, Marine Carpuat
Machine translation systems based on deep neural networks are expensive to train.
1 code implementation • 24 Aug 2018 • Francis G. VanGessel, Gaurav Kumar, Daniel C. Elton, Peter W. Chung
The microscale thermal transport properties of $\alpha$RDX are believed to be major factors in the initiation process.
Materials Science
no code implementations • IJCNLP 2017 • Huda Khayrallah, Gaurav Kumar, Kevin Duh, Matt Post, Philipp Koehn
Domain adaptation is a major challenge for neural machine translation (NMT).
no code implementations • 1 Jun 2017 • Jan Trmal, Gaurav Kumar, Vimal Manohar, Sanjeev Khudanpur, Matt Post, Paul McNamee
The paper summarizes the development of the LVCSR system built as a part of the Pashto speech-translation system at the SCALE (Summer Camp for Applied Language Exploration) 2015 workshop on "Speech-to-text-translation for low-resource languages".
4 code implementations • 15 Jan 2017 • Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, Pengcheng Yin
In the static declaration strategy that is used in toolkits like Theano, CNTK, and TensorFlow, the user first defines a computation graph (a symbolic representation of the computation), and then examples are fed into an engine that executes this computation and computes its derivatives.