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Kartik Sreenivasan
Kartik Sreenivasan
Geverifieerd e-mailadres voor wisc.edu
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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
4982020
Teaching arithmetic to small transformers
N Lee, K Sreenivasan, JD Lee, K Lee, D Papailiopoulos
arXiv preprint arXiv:2307.03381, 2023
302023
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
272022
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
15*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
152021
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
112023
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
32024
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
32018
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
32016
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
32016
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
12023
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
12023
Towards Understanding the Challenges in Scaling Frontier Machine Learning Models
K Sreenivasan
The University of Wisconsin-Madison, 2023
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
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Artikelen 1–14