Παρακολούθηση
Rakesh Shivanna
Rakesh Shivanna
Google Brain
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα google.com
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
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
22362023
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
7202024
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
4782021
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
1382020
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
392013
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
292022
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
272020
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
Nonlinear initialization methods for low-rank neural networks
K Vodrahalli, R Shivanna, M Sathiamoorthy, S Jain, EH Chi
arXiv preprint arXiv:2202.00834, 2022
52022
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
Perception and Machine Intelligence: First Indo-Japan Conference, PerMIn …, 2012
42012
Michelangelo: Long context evaluations beyond haystacks via latent structure queries
K Vodrahalli, S Ontanon, N Tripuraneni, K Xu, S Jain, R Shivanna, J Hui, ...
arXiv preprint arXiv:2409.12640, 2024
32024
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 Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs
AS Rawat, V Sadhanala, A Rostamizadeh, A Chakrabarti, W Jitkrittum, ...
arXiv preprint arXiv:2410.18779, 2024
12024
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
12024
A Novel Algorithm for Watermarking and Image Encryption
S Rakesh, AA Kaller, BC Shakshari, B Annappa
CS & IT Conference Proceedings 2 (1), 2012
12012
A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs
A Singh Rawat, V Sadhanala, A Rostamizadeh, A Chakrabarti, ...
arXiv e-prints, arXiv: 2410.18779, 2024
2024
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