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Rakesh Shivanna
Rakesh Shivanna
Google Brain
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Title
Cited by
Cited by
Year
Dcn v2: Improved deep & cross network and practical lessons for web-scale learning to rank systems
R Wang, R Shivanna, D Cheng, S Jain, D Lin, L Hong, E Chi
Proceedings of the web conference 2021, 1785-1797, 2021
3512021
Understanding and improving knowledge distillation
J Tang, R Shivanna, Z Zhao, D Lin, A Singh, EH Chi, S Jain
arXiv preprint arXiv:2002.03532, 2020
1142020
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
542024
Image encryption using block based uniform scrambling and chaotic logistic mapping
S Rakesh, AA Kaller, BC Shadakshari, B Annappa
International Journal on Cryptography and Information Security (IJCIS) 2 (1 …, 2012
402012
Cost effective optical mark reader
S Rakesh, K Atal, A Arora
International Journal of Computer Science and Artificial Intelligence 3 (2), 44, 2013
362013
On the factory floor: ML engineering for industrial-scale ads recommendation models
R Anil, S Gadanho, D Huang, N Jacob, Z Li, D Lin, T Phillips, C Pop, ...
arXiv preprint arXiv:2209.05310, 2022
242022
DCN-M: Improved deep & cross network for feature cross learning in web-scale learning to rank systems
R Wang, R Shivanna, DZ Cheng, S Jain, D Lin, L Hong, EH Chi
arXiv preprint arXiv:2008.13535, 2020
222020
Multilevel image encryption
S Rakesh, AA Kaller, BC Shadakshari, B Annappa
arXiv preprint arXiv:1202.4871, 2012
92012
Spectral norm regularization of orthonormal representations for graph transduction
R Shivanna, BK Chatterjee, R Sankaran, C Bhattacharyya, F Bach
Advances in Neural Information Processing Systems 28, 2015
82015
Learning on graphs using orthonormal representation is statistically consistent
R Shivanna, C Bhattacharyya
Advances in Neural Information Processing Systems 27, 2014
52014
Face image retrieval based on probe sketch using SIFT feature descriptors
K Atal, A Arora, P Purkait, B Chanda
Indo-Japanese Conference on Perception and Machine Intelligence, 50-57, 2012
42012
Nonlinear initialization methods for low-rank neural networks
K Vodrahalli, R Shivanna, M Sathiamoorthy, S Jain, EH Chi
arXiv preprint arXiv:2202.00834, 2022
32022
DCN V2: Improved deep & cross network and practical lessons for web-scale learning to rank systems. arXiv
R Wang, R Shivanna, D Cheng, S Jain, D Lin, L Hong, EH hsin Chi
arXiv preprint arXiv:2008.13535, 2020
32020
How many pairwise preferences do we need to rank a graph consistently?
A Saha, R Shivanna, C Bhattacharyya
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4830-4837, 2019
32019
A Novel Algorithm for Watermarking and Image Encryption
S Rakesh, AA Kaller, BC Shakshari, B Annappa
CS & IT Conference Proceedings 2 (1), 2012
12012
Multimedia content management for large language model (s) and/or other generative model (s)
S Jain, W Yu, Á Weisz, MA Goodman, D Avram, A Ghafouri, G Ghiasi, ...
US Patent 11,947,923, 2024
2024
Generating multi-modal response (s) through utilization of large language model (s)
O Akerlund, E Sluzhaev, G Ghiasi, T Luong, Y Lu, I Petrovski, Á Weisz, ...
US Patent 11,907,674, 2024
2024
Gemini: a family of highly capable multimodal models
arXiv preprint arXiv:2312.11805, 2023
2023
Algorithms for Efficiently Learning Low-Rank Neural Networks.
K Vodrahalli, R Shivanna, M Sathiamoorthy, S Jain, EH Chi
CoRR, 2022
2022
ATTRIBUTE-BASED ENCRYPTION SCHEMES FOR BOTH USERS AND CLOUD SERVER
R Gudlanur, S Rakesh
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Articles 1–20