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 | 2192 | 2023 |
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 | 689 | 2024 |
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 | 476 | 2021 |
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 | 138 | 2020 |
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 | 40 | 2012 |
Cost effective optical mark reader S Rakesh, K Atal, A Arora International Journal of Computer Science and Artificial Intelligence 3 (2), 44, 2013 | 39 | 2013 |
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 | 29 | 2022 |
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 | 27 | 2020 |
Multilevel image encryption S Rakesh, AA Kaller, BC Shadakshari, B Annappa arXiv preprint arXiv:1202.4871, 2012 | 9 | 2012 |
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 | 8 | 2015 |
Nonlinear initialization methods for low-rank neural networks K Vodrahalli, R Shivanna, M Sathiamoorthy, S Jain, EH Chi arXiv preprint arXiv:2202.00834, 2022 | 5 | 2022 |
Learning on graphs using orthonormal representation is statistically consistent R Shivanna, C Bhattacharyya Advances in Neural Information Processing Systems 27, 2014 | 5 | 2014 |
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 | 4 | 2012 |
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 | 3 | 2020 |
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 | 3 | 2019 |
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 | 1 | 2024 |
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 | 1 | 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 | 1 | 2024 |
A Novel Algorithm for Watermarking and Image Encryption S Rakesh, AA Kaller, BC Shakshari, B Annappa CS & IT Conference Proceedings 2 (1), 2012 | 1 | 2012 |
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 |