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Cited by
Year
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805, 2023
24532023
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ...
arXiv preprint arXiv:2403.05530, 2024
9582024
Chlorpyrifos degradation by the cyanobacterium Synechocystis sp. strain PUPCCC 64
DP Singh, JIS Khattar, J Nadda, Y Singh, A Garg, N Kaur, A Gulati
Environmental Science and Pollution Research 18, 1351-1359, 2011
1502011
A comparative evaluation of ear diseases in children of higher versus lower socioeconomic status
SK Chadha, AK Agarwal, A Gulati, A Garg
The Journal of Laryngology & Otology 120 (1), 16-19, 2006
632006
Do current multi-task optimization methods in deep learning even help?
D Xin, B Ghorbani, J Gilmer, A Garg, O Firat
Advances in neural information processing systems 35, 13597-13609, 2022
612022
The devil is in the errors: Leveraging large language models for fine-grained machine translation evaluation
P Fernandes, D Deutsch, M Finkelstein, P Riley, AFT Martins, G Neubig, ...
Association for Computational Linguistics, 2023
602023
Machine translation: a literature review
A Garg, M Agarwal
arXiv preprint arXiv:1901.01122, 2018
532018
Data scaling laws in NMT: The effect of noise and architecture
Y Bansal, B Ghorbani, A Garg, B Zhang, C Cherry, B Neyshabur, O Firat
International Conference on Machine Learning, 1466-1482, 2022
402022
A loss curvature perspective on training instabilities of deep learning models
J Gilmer, B Ghorbani, A Garg, S Kudugunta, B Neyshabur, D Cardoze, ...
International Conference on Learning Representations, 2022
392022
GROOV: A geographic routing over VANETs and its performance evaluation
SK Dhurandher, MS Obaidat, D Bhardwaj, A Garg
2012 IEEE Global Communications Conference (GLOBECOM), 1670-1675, 2012
302012
Echo state speech recognition
H Shrivastava, A Garg, Y Cao, Y Zhang, T Sainath
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
272021
Benchmarking neural network training algorithms
GE Dahl, F Schneider, Z Nado, N Agarwal, CS Sastry, P Hennig, ...
MLCommons AlgoPerf: Training Algorithms Benchmark, 2023
232023
Appendicitis in paraumbilical hernia mimicking strangulation: a case report and review of the literature
N Agarwal, S Goyal, A Kumar, A Garg, N Kaur, A Gupta
Hernia 17, 531-532, 2013
202013
Efficient and private federated learning with partially trainable networks
H Sidahmed, Z Xu, A Garg, Y Cao, M Chen
NeurIPS Workshop on New Frontiers in Federated Learning, 2021
162021
The geometry of integration in text classification RNNs
K Aitken, VV Ramasesh, A Garg, Y Cao, D Sussillo, N Maheswaranathan
International Conference on Learning Representations, 2020
142020
Binarized neural machine translation
Y Zhang, A Garg, Y Cao, L Lew, B Ghorbani, Z Zhang, O Firat
Advances in Neural Information Processing Systems 36, 2024
132024
Hands-on one-shot learning with python: Learn to implement fast and accurate deep learning models with fewer training samples using pytorch
S Jadon, A Garg
Packt Publishing Ltd, 2020
132020
Wormhole attack prevention using clustering and digital signatures in reactive routing
A Malhotra, D Bhardwaj, A Garg
Proceedings of 2012 9th IEEE International Conference on Networking, Sensing …, 2012
102012
Order matters in the presence of dataset imbalance for multilingual learning
D Choi, D Xin, H Dadkhahi, J Gilmer, A Garg, O Firat, CK Yeh, AM Dai, ...
Advances in Neural Information Processing Systems 36, 2024
62024
Echo state neural machine translation
A Garg, Y Cao, Q Ge
arXiv preprint arXiv:2002.11847, 2020
42020
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