Ankush Garg

According to our database, Ankush Garg authored at least 22 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation.

Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André F. T. Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat

CoRR, 2023

Benchmarking Neural Network Training Algorithms.

George E. Dahl, Frank Schneider, Zachary Nado, Naman Agarwal, Chandramouli Shama Sastry, Philipp Hennig, Sourabh Medapati, Runa Eschenhagen, Priya Kasimbeg, Daniel Suo, Juhan Bae, Justin Gilmer, Abel L. Peirson, Bilal Khan, Rohan Anil, Mike Rabbat, Shankar Krishnan, Daniel Snider, Ehsan Amid, Kongtao Chen, Chris J. Maddison, Rakshith Vasudev, Michal Badura, Ankush Garg, Peter Mattson

CoRR, 2023

The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation.

Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat

Proceedings of the Eighth Conference on Machine Translation, 2023

Order Matters in the Presence of Dataset Imbalance for Multilingual Learning.

Dami Choi, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M. Dai, Behrooz Ghorbani

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Binarized Neural Machine Translation.

Yichi Zhang, Ankush Garg, Yuan Cao, Lukasz Lew, Behrooz Ghorbani, Zhiru Zhang, Orhan Firat

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Data Scaling Laws in NMT: The Effect of Noise and Architecture.

Yamini Bansal, Behrooz Ghorbani, Ankush Garg, Biao Zhang, Maxim Krikun, Colin Cherry, Behnam Neyshabur, Orhan Firat

CoRR, 2022

Do Current Multi-Task Optimization Methods in Deep Learning Even Help?

Derrick Xin, Behrooz Ghorbani, Justin Gilmer, Ankush Garg, Orhan Firat

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Data Scaling Laws in NMT: The Effect of Noise and Architecture.

Yamini Bansal, Behrooz Ghorbani, Ankush Garg, Biao Zhang, Colin Cherry, Behnam Neyshabur, Orhan Firat

Proceedings of the International Conference on Machine Learning, 2022

A Loss Curvature Perspective on Training Instabilities of Deep Learning Models.

Justin Gilmer, Behrooz Ghorbani, Ankush Garg, Sneha Kudugunta, Behnam Neyshabur, David Cardoze, George Edward Dahl, Zachary Nado, Orhan Firat

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

A Loss Curvature Perspective on Training Instability in Deep Learning.

Justin Gilmer, Behrooz Ghorbani, Ankush Garg, Sneha Kudugunta, Behnam Neyshabur, David Cardoze, George E. Dahl, Zachary Nado, Orhan Firat

CoRR, 2021

Efficient and Private Federated Learning with Partially Trainable Networks.

Hakim Sidahmed, Zheng Xu, Ankush Garg, Yuan Cao, Mingqing Chen

CoRR, 2021

The geometry of integration in text classification RNNs.

Kyle Aitken, Vinay Venkatesh Ramasesh, Ankush Garg, Yuan Cao, David Sussillo, Niru Maheswaranathan

Proceedings of the 9th International Conference on Learning Representations, 2021

Echo State Speech Recognition.

Harsh Shrivastava, Ankush Garg, Yuan Cao, Yu Zhang, Tara N. Sainath

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Echo State Neural Machine Translation.

Ankush Garg, Yuan Cao, Qi Ge

CoRR, 2020

2019

Machine Translation: A Literature Review.

Ankush Garg, Mayank Agarwal

CoRR, 2019

2014

Progressive alignment using Shortest Common Supersequence.

Ankush Garg, Deepak Garg

Proceedings of the 2014 International Conference on Advances in Computing, 2014

2012

Wormhole attack prevention using clustering and digital signatures in reactive routing.

Amarjit Malhotra, Deepti Bhardwaj, Ankush Garg

Proceedings of 9th IEEE International Conference on Networking, Sensing and Control, 2012

GROOV: A geographic routing over VANETs and its performance evaluation.

Sanjay K. Dhurandher, Mohammad S. Obaidat, Deepti Bhardwaj, Ankush Garg

Proceedings of the 2012 IEEE Global Communications Conference, 2012

2011

Analysis of user keyword similarity in online social networks.

Prantik Bhattacharyya, Ankush Garg, Shyhtsun Felix Wu

Soc. Netw. Anal. Min., 2011

2009

Design and Implementation of Davis Social Links OSN Kernel.

Thomas Tran, Kelcey Chan, Shaozhi Ye, Prantik Bhattacharyya, Ankush Garg, Xiaoming Lu, Shyhtsun Felix Wu

Proceedings of the Wireless Algorithms, 2009

Information Flow and Search in Unstructured Keyword Based Social Networks.

Ankush Garg, Prantik Bhattacharyya, Charles U. Martel, Shyhtsun Felix Wu

Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

Social Network Model Based on Keyword Categorization.

Prantik Bhattacharyya, Ankush Garg, Shyhtsun Felix Wu

Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009