| Attack of the tails: Yes, you really can backdoor federated learning H Wang, K Sreenivasan, S Rajput, H Vishwakarma, S Agarwal, J Sohn, ... Advances in Neural Information Processing Systems 33, 16070-16084, 2020 | 649 | 2020 |
| Teaching arithmetic to small transformers N Lee, K Sreenivasan, JD Lee, K Lee, D Papailiopoulos arXiv preprint arXiv:2307.03381, 2023 | 78 | 2023 |
| Rare gems: Finding lottery tickets at initialization K Sreenivasan, J Sohn, L Yang, M Grinde, A Nagle, H Wang, E Xing, ... Advances in neural information processing systems 35, 14529-14540, 2022 | 40 | 2022 |
| An exponential improvement on the memorization capacity of deep threshold networks S Rajput, K Sreenivasan, D Papailiopoulos, A Karbasi Advances in Neural Information Processing Systems 34, 12674-12685, 2021 | 19 | 2021 |
| Dissecting chain-of-thought: Compositionality through in-context filtering and learning Y Li, K Sreenivasan, A Giannou, D Papailiopoulos, S Oymak Advances in Neural Information Processing Systems 36, 2024 | 16 | 2024 |
| Finding nearly everything within random binary networks K Sreenivasan, S Rajput, J Sohn, D Papailiopoulos International Conference on Artificial Intelligence and Statistics, 3531-3541, 2022 | 16* | 2022 |
| Dissecting chain-of-thought: A study on compositional in-context learning of mlps Y Li, K Sreenivasan, A Giannou, D Papailiopoulos, S Oymak arXiv preprint arXiv:2305.18869, 2023 | 14 | 2023 |
| Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models Z Ankner, C Blakeney, K Sreenivasan, M Marion, ML Leavitt, M Paul arXiv preprint arXiv:2405.20541, 2024 | 7 | 2024 |
| Mini-Batch Optimization of Contrastive Loss J Cho, K Sreenivasan, K Lee, K Mun, S Yi, JG Lee, A Lee, J Sohn, ... arXiv preprint arXiv:2307.05906, 2023 | 3 | 2023 |
| Method to expand seed keywords into a relevant social query BV Srinivasan, NM Nainani, T Goyal, K Sreenivasan, S Revankar, ... US Patent 9,965,766, 2018 | 3 | 2018 |
| Method to modify existing query based on relevance feedback from social posts BV Srinivasan, K Sreenivasan, NM Nainani, T Goyal US Patent App. 14/590,362, 2016 | 3 | 2016 |
| Smart filters for social retrieval BV Srinivasan, T Goyal, NM Nainani, K Sreenivasan Proceedings of the 3rd IKDD Conference on Data Science, 2016, 1-2, 2016 | 3 | 2016 |
| Mini-batch optimization of contrastive loss K Sreenivasan, K Lee, JG Lee, A Lee, J Cho, J Sohn, D Papailiopoulos, ... ICLR 2023 Workshop on Mathematical and Empirical Understanding of Foundation …, 2023 | 2 | 2023 |
| Towards Understanding the Challenges in Scaling Frontier Machine Learning Models K Sreenivasan The University of Wisconsin-Madison, 2023 | 1 | 2023 |
| Perplexed by Perplexity: Perplexity-Based Pruning with Small Reference Models Z Ankner, C Blakeney, K Sreenivasan, M Marion, ML Leavitt, M Paul ICLR 2024 Workshop on Mathematical and Empirical Understanding of Foundation …, 0 | 1 | |
Dimitris PapailiopoulosResearcher at Microsoft Research & Assoc. Professor at University of WisconsinGeverifieerd e-mailadres voor papail.io