| 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 | 421 | 2021 |
| 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 | 358 | 2024 |
| 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 | 125 | 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 | 38 | 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 | 26 | 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 | 25 | 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 Novel Algorithm for Watermarking and Image Encryption S Rakesh, AA Kaller, BC Shakshari, B Annappa CS & IT Conference Proceedings 2 (1), 2012 | 1 | 2012 |
| 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 | | 2024 |
| 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 A Team, Gemini and Anil, Rohan and Borgeaud, Sebastian and Wu, Yonghui and ... 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 |
Annappa BProfessor, Dept. of Computer Science & Engg., National Institute of Technology, KarnatakaVerified email at nitk.edu.in
