Ankush Garg

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 20

Top Topics

Parallel Corpora

Learning Models

Machine Translation

Top Venues

Publications

Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat
The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation. WMT (2023)
Dami Choi, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M. Dai, Behrooz Ghorbani
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning. NeurIPS (2023)
Yichi Zhang, Ankush Garg, Yuan Cao, Lukasz Lew, Behrooz Ghorbani, Zhiru Zhang, Orhan Firat
Binarized Neural Machine Translation. CoRR (2023)
Yichi Zhang, Ankush Garg, Yuan Cao, Lukasz Lew, Behrooz Ghorbani, Zhiru Zhang, Orhan Firat
Binarized Neural Machine Translation. NeurIPS (2023)
Dami Choi, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M. Dai, Behrooz Ghorbani
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning. CoRR (2023)
Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André F. T. Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat
The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation. CoRR (2023)
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
Benchmarking Neural Network Training Algorithms. CoRR (2023)
Yamini Bansal, Behrooz Ghorbani, Ankush Garg, Biao Zhang, Colin Cherry, Behnam Neyshabur, Orhan Firat
Data Scaling Laws in NMT: The Effect of Noise and Architecture. ICML (2022)
Derrick Xin, Behrooz Ghorbani, Ankush Garg, Orhan Firat, Justin Gilmer
Do Current Multi-Task Optimization Methods in Deep Learning Even Help? CoRR (2022)
Justin Gilmer, Behrooz Ghorbani, Ankush Garg, Sneha Kudugunta, Behnam Neyshabur, David Cardoze, George Edward Dahl, Zachary Nado, Orhan Firat
A Loss Curvature Perspective on Training Instabilities of Deep Learning Models. ICLR (2022)
Yamini Bansal, Behrooz Ghorbani, Ankush Garg, Biao Zhang, Maxim Krikun, Colin Cherry, Behnam Neyshabur, Orhan Firat
Data Scaling Laws in NMT: The Effect of Noise and Architecture. CoRR (2022)
Derrick Xin, Behrooz Ghorbani, Justin Gilmer, Ankush Garg, Orhan Firat
Do Current Multi-Task Optimization Methods in Deep Learning Even Help? NeurIPS (2022)
Kyle Aitken, Vinay Venkatesh Ramasesh, Ankush Garg, Yuan Cao, David Sussillo, Niru Maheswaranathan
The geometry of integration in text classification RNNs. ICLR (2021)
Harsh Shrivastava, Ankush Garg, Yuan Cao, Yu Zhang, Tara N. Sainath
Echo State Speech Recognition. CoRR (2021)
Harsh Shrivastava, Ankush Garg, Yuan Cao, Yu Zhang, Tara N. Sainath
Echo State Speech Recognition. ICASSP (2021)
Justin Gilmer, Behrooz Ghorbani, Ankush Garg, Sneha Kudugunta, Behnam Neyshabur, David Cardoze, George E. Dahl, Zachary Nado, Orhan Firat
A Loss Curvature Perspective on Training Instability in Deep Learning. CoRR (2021)
Hakim Sidahmed, Zheng Xu, Ankush Garg, Yuan Cao, Mingqing Chen
Efficient and Private Federated Learning with Partially Trainable Networks. CoRR (2021)
Ankush Garg, Yuan Cao, Qi Ge
Echo State Neural Machine Translation. CoRR (2020)
Kyle Aitken, Vinay V. Ramasesh, Ankush Garg, Yuan Cao, David Sussillo, Niru Maheswaranathan
The geometry of integration in text classification RNNs. CoRR (2020)
Ankush Garg, Mayank Agarwal
Machine Translation: A Literature Review. CoRR (2019)
Ankush Garg, Deepak Garg
Progressive alignment using Shortest Common Supersequence. ICACCI (2014)
Amarjit Malhotra, Deepti Bhardwaj, Ankush Garg
Wormhole attack prevention using clustering and digital signatures in reactive routing. ICNSC (2012)
Sanjay K. Dhurandher, Mohammad S. Obaidat, Deepti Bhardwaj, Ankush Garg
GROOV: A geographic routing over VANETs and its performance evaluation. GLOBECOM (2012)
Prantik Bhattacharyya, Ankush Garg, Shyhtsun Felix Wu
Analysis of user keyword similarity in online social networks. Soc. Netw. Anal. Min. 1 (3) (2011)
Thomas Tran, Kelcey Chan, Shaozhi Ye, Prantik Bhattacharyya, Ankush Garg, Xiaoming Lu, Shyhtsun Felix Wu
Design and Implementation of Davis Social Links OSN Kernel. WASA (2009)
Ankush Garg, Prantik Bhattacharyya, Charles U. Martel, Shyhtsun Felix Wu
Information Flow and Search in Unstructured Keyword Based Social Networks. CSE (4) (2009)
Prantik Bhattacharyya, Ankush Garg, Shyhtsun Felix Wu
Social Network Model Based on Keyword Categorization. ASONAM (2009)