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2020 – today
- 2023
[c14]Yichi Zhang, Ankush Garg, Yuan Cao, Lukasz Lew, Behrooz Ghorbani, Zhiru Zhang, Orhan Firat:
Binarized Neural Machine Translation. NeurIPS 2023- [c13]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 - [c12]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: 1066-1083 - [i12]Yichi Zhang, Ankush Garg, Yuan Cao, Lukasz Lew, Behrooz Ghorbani, Zhiru Zhang, Orhan Firat:
Binarized Neural Machine Translation. CoRR abs/2302.04907 (2023) - [i11]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 abs/2306.07179 (2023) - [i10]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 abs/2308.07286 (2023) - [i9]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 abs/2312.06134 (2023) - 2022
- [c11]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 - [c10]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: 1466-1482 - [c9]Derrick Xin, Behrooz Ghorbani, Justin Gilmer, Ankush Garg, Orhan Firat:
Do Current Multi-Task Optimization Methods in Deep Learning Even Help? NeurIPS 2022 - [i8]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 abs/2202.01994 (2022) - [i7]Derrick Xin, Behrooz Ghorbani, Ankush Garg, Orhan Firat, Justin Gilmer:
Do Current Multi-Task Optimization Methods in Deep Learning Even Help? CoRR abs/2209.11379 (2022) - 2021
- [c8]Harsh Shrivastava, Ankush Garg, Yuan Cao, Yu Zhang, Tara N. Sainath:
Echo State Speech Recognition. ICASSP 2021: 5669-5673 - [c7]Kyle Aitken, Vinay Venkatesh Ramasesh, Ankush Garg, Yuan Cao, David Sussillo, Niru Maheswaranathan:
The geometry of integration in text classification RNNs. ICLR 2021 - [i6]Harsh Shrivastava, Ankush Garg, Yuan Cao, Yu Zhang, Tara N. Sainath:
Echo State Speech Recognition. CoRR abs/2102.09114 (2021) - [i5]Hakim Sidahmed, Zheng Xu, Ankush Garg, Yuan Cao, Mingqing Chen:
Efficient and Private Federated Learning with Partially Trainable Networks. CoRR abs/2110.03450 (2021) - [i4]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 abs/2110.04369 (2021) - 2020
- [i3]Ankush Garg, Yuan Cao, Qi Ge:
Echo State Neural Machine Translation. CoRR abs/2002.11847 (2020) - [i2]Kyle Aitken, Vinay V. Ramasesh, Ankush Garg, Yuan Cao, David Sussillo, Niru Maheswaranathan:
The geometry of integration in text classification RNNs. CoRR abs/2010.15114 (2020)
2010 – 2019
- 2019
- [i1]Ankush Garg, Mayank Agarwal:
Machine Translation: A Literature Review. CoRR abs/1901.01122 (2019) - 2014
- [c6]Ankush Garg, Deepak Garg
:
Progressive alignment using Shortest Common Supersequence. ICACCI 2014: 1113-1117 - 2012
- [c5]Sanjay K. Dhurandher, Mohammad S. Obaidat, Deepti Bhardwaj, Ankush Garg:
GROOV: A geographic routing over VANETs and its performance evaluation. GLOBECOM 2012: 1670-1675 - [c4]Amarjit Malhotra, Deepti Bhardwaj, Ankush Garg:
Wormhole attack prevention using clustering and digital signatures in reactive routing. ICNSC 2012: 122-126 - 2011
- [j1]Prantik Bhattacharyya, Ankush Garg, Shyhtsun Felix Wu:
Analysis of user keyword similarity in online social networks. Soc. Netw. Anal. Min. 1(3): 143-158 (2011)
2000 – 2009
- 2009
- [c3]Prantik Bhattacharyya, Ankush Garg, Shyhtsun Felix Wu:
Social Network Model Based on Keyword Categorization. ASONAM 2009: 170-175 - [c2]Ankush Garg, Prantik Bhattacharyya, Charles U. Martel, Shyhtsun Felix Wu:
Information Flow and Search in Unstructured Keyword Based Social Networks. CSE (4) 2009: 1074-1081 - [c1]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: 527-540
Coauthor Index
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last updated on 2024-04-25 05:56 CEST by the dblp team
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