Srinadh Bhojanapalli
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
7
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count. | Hanseul Cho, Jaeyoung Cha, Srinadh Bhojanapalli, Chulhee Yun |
| 2024 | ICLR | Dual-Encoders for Extreme Multi-label Classification. | Nilesh Gupta, Devvrit, Ankit Singh Rawat, Srinadh Bhojanapalli, Prateek Jain, Inderjit S. Dhillon |
| 2024 | ICLR | Functional Interpolation for Relative Positions improves Long Context Transformers. | Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontan, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli |
| 2023 | ICLR | The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers. | Zonglin Li, Chong You, Srinadh Bhojanapalli, Daliang Li, Ankit Singh Rawat, Sashank J. Reddi, Ke Ye, Felix Chern, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar |
| 2023 | ICLR | Treeformer: Dense Gradient Trees for Efficient Attention Computation. | Lovish Madaan, Srinadh Bhojanapalli, Himanshu Jain, Prateek Jain |
| 2022 | ICML | Robust Training of Neural Networks Using Scale Invariant Architectures. | Zhiyuan Li, Srinadh Bhojanapalli, Manzil Zaheer, Sashank J. Reddi, Sanjiv Kumar |
| 2021 | EMNLP | A Simple and Effective Positional Encoding for Transformers. | Pu-Chin Chen, Henry Tsai, Srinadh Bhojanapalli, Hyung Won Chung, Yin-Wen Chang, Chun-Sung Ferng |
| 2021 | ICCV | Understanding Robustness of Transformers for Image Classification. | Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit |
| 2021 | ICLR | Coping with Label Shift via Distributionally Robust Optimisation. | Jingzhao Zhang, Aditya Krishna Menon, Andreas Veit, Srinadh Bhojanapalli, Sanjiv Kumar, Suvrit Sra |
| 2020 | EMNLP | Semantic Label Smoothing for Sequence to Sequence Problems. | Michal Lukasik, Himanshu Jain, Aditya Krishna Menon, Seungyeon Kim, Srinadh Bhojanapalli, Felix X. Yu, Sanjiv Kumar |
| 2020 | ICLR | Large Batch Optimization for Deep Learning: Training BERT in 76 minutes. | Yang You, Jing Li, Sashank J. Reddi, Jonathan Hseu, Sanjiv Kumar, Srinadh Bhojanapalli, Xiaodan Song, James Demmel, Kurt Keutzer, Cho-Jui Hsieh |
| 2020 | ICLR | Are Transformers universal approximators of sequence-to-sequence functions? | Chulhee Yun, Srinadh Bhojanapalli, Ankit Singh Rawat, Sashank J. Reddi, Sanjiv Kumar |
| 2020 | ICML | Low-Rank Bottleneck in Multi-head Attention Models. | Srinadh Bhojanapalli, Chulhee Yun, Ankit Singh Rawat, Sashank J. Reddi, Sanjiv Kumar |
| 2020 | ICML | Does label smoothing mitigate label noise? | Michal Lukasik, Srinadh Bhojanapalli, Aditya Krishna Menon, Sanjiv Kumar |
| 2019 | ICLR | The role of over-parametrization in generalization of neural networks. | Behnam Neyshabur, Zhiyuan Li, Srinadh Bhojanapalli, Yann LeCun, Nathan Srebro |
| 2018 | COLT | Smoothed analysis for low-rank solutions to semidefinite programs in quadratic penalty form. | Srinadh Bhojanapalli, Nicolas Boumal, Prateek Jain, Praneeth Netrapalli |
| 2018 | ICLR | A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks. | Behnam Neyshabur, Srinadh Bhojanapalli, Nathan Srebro |
| 2018 | ITA | Implicit Regularization in Matrix Factorization. | Suriya Gunasekar, Blake E. Woodworth, Srinadh Bhojanapalli, Behnam Neyshabur, Nathan Srebro |
| 2016 | COLT | Dropping Convexity for Faster Semi-definite Optimization. | Srinadh Bhojanapalli, Anastasios Kyrillidis, Sujay Sanghavi |
| 2015 | SODA | Tighter Low-rank Approximation via Sampling the Leveraged Element. | Srinadh Bhojanapalli, Prateek Jain, Sujay Sanghavi |
| 2014 | ICML | Universal Matrix Completion. | Srinadh Bhojanapalli, Prateek Jain |
| 2014 | ICML | Coherent Matrix Completion. | Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi, Rachel A. Ward |