| Long-tail learning via logit adjustment AK Menon, S Jayasumana, AS Rawat, H Jain, A Veit, S Kumar arXiv preprint arXiv:2007.07314, 2020 | 774 | 2020 |
| Collaborative spectrum sensing in the presence of byzantine attacks in cognitive radio networks AS Rawat, P Anand, H Chen, PK Varshney IEEE Transactions on Signal Processing 59 (2), 774-786, 2010 | 399 | 2010 |
| Are transformers universal approximators of sequence-to-sequence functions? C Yun, S Bhojanapalli, AS Rawat, SJ Reddi, S Kumar arXiv preprint arXiv:1912.10077, 2019 | 361 | 2019 |
| Optimal Locally Repairable and Secure Codes for Distributed Storage Systems AS Rawat, OO Koyluoglu, N Silberstein, S Vishwanath IEEE Transactions on Information Theory 60 (1), 212-236, 2014 | 303 | 2014 |
| Locality and availability in distributed storage AS Rawat, DS Papailiopoulos, AG Dimakis, S Vishwanath IEEE Transactions on Information Theory 62 (8), 4481-4493, 2016 | 285 | 2016 |
| Optimal locally repairable codes via rank-metric codes N Silberstein, AS Rawat, OO Koyluoglu, S Vishwanath 2013 IEEE International Symposium on Information Theory, 1819-1823, 2013 | 222 | 2013 |
| Can gradient clipping mitigate label noise? AK Menon, AS Rawat, SJ Reddi, S Kumar International Conference on Learning Representations, 2020 | 177 | 2020 |
| Modifying memories in transformer models C Zhu, AS Rawat, M Zaheer, S Bhojanapalli, D Li, F Yu, S Kumar arXiv preprint arXiv:2012.00363, 2020 | 158 | 2020 |
| A statistical perspective on distillation AK Menon, AS Rawat, S Reddi, S Kim, S Kumar International Conference on Machine Learning, 7632-7642, 2021 | 118* | 2021 |
| Federated learning with only positive labels F Yu, AS Rawat, A Menon, S Kumar International Conference on Machine Learning, 10946-10956, 2020 | 115 | 2020 |
| Understanding contention-based channels and using them for defense C Hunger, M Kazdagli, A Rawat, A Dimakis, S Vishwanath, M Tiwari 2015 IEEE 21st International Symposium on High Performance Computer …, 2015 | 112 | 2015 |
| Large language models with controllable working memory D Li, AS Rawat, M Zaheer, X Wang, M Lukasik, A Veit, F Yu, S Kumar arXiv preprint arXiv:2211.05110, 2022 | 105 | 2022 |
| Countering byzantine attacks in cognitive radio networks AS Rawat, P Anand, H Chen, PK Varshney 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 98 | 2010 |
| The lazy neuron phenomenon: On emergence of activation sparsity in transformers Z Li, C You, S Bhojanapalli, D Li, AS Rawat, SJ Reddi, K Ye, F Chern, ... arXiv preprint arXiv:2210.06313, 2022 | 97* | 2022 |
| Cooperative local repair in distributed storage AS Rawat, A Mazumdar, S Vishwanath EURASIP Journal on Advances in Signal Processing 2015, 1-17, 2015 | 89 | 2015 |
| Low-rank bottleneck in multi-head attention models S Bhojanapalli, C Yun, AS Rawat, S Reddi, S Kumar International conference on machine learning, 864-873, 2020 | 87 | 2020 |
| Robust gradient descent via moment encoding and LDPC codes RK Maity, AS Rawa, A Mazumdar 2019 IEEE International Symposium on Information Theory (ISIT), 2734-2738, 2019 | 86 | 2019 |
| O (n) connections are expressive enough: Universal approximability of sparse transformers C Yun, YW Chang, S Bhojanapalli, AS Rawat, S Reddi, S Kumar Advances in Neural Information Processing Systems 33, 13783-13794, 2020 | 74 | 2020 |
| Error Resilience in Distributed Storage via Rank-Metric Codes N Silberstein, AS Rawat, S Vishwanath Arxiv preprint arXiv:1202.0800v2, 2012 | 69* | 2012 |
| Sampled softmax with random fourier features AS Rawat, J Chen, FXX Yu, AT Suresh, S Kumar Advances in Neural Information Processing Systems 32, 2019 | 68 | 2019 |
Sanjiv KumarGoogle Fellow, VP, Google ResearchEmail verificata su google.com
