Ankush Garg - RankMe

29 papers A* 6B 2Misc 1Journal 15Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Empirical Study on Noisy Data and LLM Pretraining Loss Divergence. CoRR Qizhen Zhang, Ankush Garg, Jakob N. Foerster, Niladri S. Chatterji, Kshitiz Malik, Mike Lewis
2026	J	`jnl`	Training LLMs with Fault Tolerant HSDP on 100,000 GPUs. CoRR Omkar Salpekar, Rohan Varma, Kenny Yu, Vladimir Ivanov, Yang Wang, Ahmed Sharif, Min Si, Shawn Xu, Feng Tian, Shengbao Zheng, Tristan Rice, Ankush Garg, Shangfu Peng, Shreyas Siravara, Wenyin Fu, Rodrigo de Castro, Adithya Gangidi, Andrey Obraztsov, Sharan Narang, Sergey Edunov, Maxim Naumov, Chunqiang Tang, Mathew Oldham
2023	J	`jnl`	Benchmarking Neural Network Training Algorithms. CoRR 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
2023	A*	`conf`	Binarized Neural Machine Translation. NeurIPS Yichi Zhang, Ankush Garg, Yuan Cao, Lukasz Lew, Behrooz Ghorbani, Zhiru Zhang, Orhan Firat
2023	J	`jnl`	Binarized Neural Machine Translation. CoRR Yichi Zhang, Ankush Garg, Yuan Cao, Lukasz Lew, Behrooz Ghorbani, Zhiru Zhang, Orhan Firat
2023	A*	`conf`	Order Matters in the Presence of Dataset Imbalance for Multilingual Learning. NeurIPS Dami Choi, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M. Dai, Behrooz Ghorbani
2023	J	`jnl`	Order Matters in the Presence of Dataset Imbalance for Multilingual Learning. CoRR Dami Choi, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M. Dai, Behrooz Ghorbani
2023	—	`conf`	The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation. WMT Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André F. T. Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat
2023	J	`jnl`	The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation. CoRR Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André F. T. Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat
2022	A*	`conf`	A Loss Curvature Perspective on Training Instabilities of Deep Learning Models. ICLR Justin Gilmer, Behrooz Ghorbani, Ankush Garg, Sneha Kudugunta, Behnam Neyshabur, David Cardoze, George Edward Dahl, Zachary Nado, Orhan Firat
2022	A*	`conf`	Data Scaling Laws in NMT: The Effect of Noise and Architecture. ICML Yamini Bansal, Behrooz Ghorbani, Ankush Garg, Biao Zhang, Colin Cherry, Behnam Neyshabur, Orhan Firat
2022	J	`jnl`	Data Scaling Laws in NMT: The Effect of Noise and Architecture. CoRR Yamini Bansal, Behrooz Ghorbani, Ankush Garg, Biao Zhang, Maxim Krikun, Colin Cherry, Behnam Neyshabur, Orhan Firat
2022	A*	`conf`	Do Current Multi-Task Optimization Methods in Deep Learning Even Help? NeurIPS Derrick Xin, Behrooz Ghorbani, Justin Gilmer, Ankush Garg, Orhan Firat
2022	J	`jnl`	Do Current Multi-Task Optimization Methods in Deep Learning Even Help? CoRR Derrick Xin, Behrooz Ghorbani, Ankush Garg, Orhan Firat, Justin Gilmer
2021	J	`jnl`	A Loss Curvature Perspective on Training Instability in Deep Learning. CoRR Justin Gilmer, Behrooz Ghorbani, Ankush Garg, Sneha Kudugunta, Behnam Neyshabur, David Cardoze, George E. Dahl, Zachary Nado, Orhan Firat
2021	Misc	`conf`	Echo State Speech Recognition. ICASSP Harsh Shrivastava, Ankush Garg, Yuan Cao, Yu Zhang, Tara N. Sainath
2021	J	`jnl`	Echo State Speech Recognition. CoRR Harsh Shrivastava, Ankush Garg, Yuan Cao, Yu Zhang, Tara N. Sainath
2021	J	`jnl`	Efficient and Private Federated Learning with Partially Trainable Networks. CoRR Hakim Sidahmed, Zheng Xu, Ankush Garg, Yuan Cao, Mingqing Chen
2021	A*	`conf`	The geometry of integration in text classification RNNs. ICLR Kyle Aitken, Vinay Venkatesh Ramasesh, Ankush Garg, Yuan Cao, David Sussillo, Niru Maheswaranathan
2020	J	`jnl`	Echo State Neural Machine Translation. CoRR Ankush Garg, Yuan Cao, Qi Ge
2020	J	`jnl`	The geometry of integration in text classification RNNs. CoRR Kyle Aitken, Vinay V. Ramasesh, Ankush Garg, Yuan Cao, David Sussillo, Niru Maheswaranathan
2019	J	`jnl`	Machine Translation: A Literature Review. CoRR Ankush Garg, Mayank Agarwal
2014	—	`conf`	Progressive alignment using Shortest Common Supersequence. ICACCI Ankush Garg, Deepak Garg
2012	B	`conf`	GROOV: A geographic routing over VANETs and its performance evaluation. GLOBECOM Sanjay K. Dhurandher, Mohammad S. Obaidat, Deepti Bhardwaj, Ankush Garg
2012	—	`conf`	Wormhole attack prevention using clustering and digital signatures in reactive routing. ICNSC Amarjit Malhotra, Deepti Bhardwaj, Ankush Garg
2011	J	`jnl`	Analysis of user keyword similarity in online social networks. Soc. Netw. Anal. Min. Prantik Bhattacharyya, Ankush Garg, Shyhtsun Felix Wu
2009	—	`conf`	Design and Implementation of Davis Social Links OSN Kernel. WASA Thomas Tran, Kelcey Chan, Shaozhi Ye, Prantik Bhattacharyya, Ankush Garg, Xiaoming Lu, Shyhtsun Felix Wu
2009	—	`conf`	Information Flow and Search in Unstructured Keyword Based Social Networks. CSE (4) Ankush Garg, Prantik Bhattacharyya, Charles U. Martel, Shyhtsun Felix Wu
2009	B	`conf`	Social Network Model Based on Keyword Categorization. ASONAM Prantik Bhattacharyya, Ankush Garg, Shyhtsun Felix Wu