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Articles: 2'506'133
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27 April 2024
 
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Results 1 to 19 of 19 for query "Srinadh Bhojanapalli". (0.00 sec.)



1.
Large Models are Parsimonious Learners: Activation Sparsity in Trained Transformers
Zonglin Li; Chong You; Srinadh Bhojanapalli; Daliang Li; Ankit Singh Rawat; Sashank J. Reddi; Ke Ye; Felix Chern; Felix Yu; Ruiqi Guo; Sanjiv Kumar;
12 Oct 2022
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2.
Treeformer: Dense Gradient Trees for Efficient Attention Computation
Lovish Madaan; Srinadh Bhojanapalli; Himanshu Jain; Prateek Jain;
18 Aug 2022
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3.
Robust Training of Neural Networks using Scale Invariant Architectures
Zhiyuan Li; Srinadh Bhojanapalli; Manzil Zaheer; Sashank J. Reddi; Sanjiv Kumar;
2 Feb 2022
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4.
Eigen Analysis of Self-Attention and its Reconstruction from Partial Computation
Srinadh Bhojanapalli; Ayan Chakrabarti; Himanshu Jain; Sanjiv Kumar; Michal Lukasik; Andreas Veit;
16 Jun 2021
- - -
5.
Understanding Robustness of Transformers for Image Classification
Srinadh Bhojanapalli; Ayan Chakrabarti; Daniel Glasner; Daliang Li; Thomas Unterthiner; Andreas Veit;
26 Mar 2021
- - -
6.
On the Reproducibility of Neural Network Predictions
Srinadh Bhojanapalli; Kimberly Wilber; Andreas Veit; Ankit Singh Rawat; Seungyeon Kim; Aditya Menon; Sanjiv Kumar;
5 Feb 2021
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7.
An efficient nonconvex reformulation of stagewise convex optimization problems
Rudy Bunel; Oliver Hinder; Srinadh Bhojanapalli; Krishnamurthy; Dvijotham;
27 Oct 2020
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8.
Semantic Label Smoothing for Sequence to Sequence Problems
Michal Lukasik; Himanshu Jain; Aditya Krishna Menon; Seungyeon Kim; Srinadh Bhojanapalli; Felix Yu; Sanjiv Kumar;
15 Oct 2020
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9.
$O(n)$ Connections are Expressive Enough: Universal Approximability of Sparse Transformers
Chulhee Yun; Yin-Wen Chang; Srinadh Bhojanapalli; Ankit Singh Rawat; Sashank J. Reddi; Sanjiv Kumar;
8 Jun 2020
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10.
Does label smoothing mitigate label noise?
Michal Lukasik; Srinadh Bhojanapalli; Aditya Krishna Menon; Sanjiv Kumar;
5 Mar 2020
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11.
Low-Rank Bottleneck in Multi-head Attention Models
Srinadh Bhojanapalli; Chulhee Yun; Ankit Singh Rawat; Sashank J. Reddi; Sanjiv Kumar;
17 Feb 2020
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12.
Smoothed analysis for low-rank solutions to semidefinite programs in quadratic penalty form
Srinadh Bhojanapalli; Nicolas Boumal; Prateek Jain; Praneeth Netrapalli;
1 Mar 2018
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13.
Exploring Generalization in Deep Learning
Behnam Neyshabur; Srinadh Bhojanapalli; David McAllester; Nathan Srebro;
27 Jun 2017
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14.
Implicit Regularization in Matrix Factorization
Suriya Gunasekar; Blake Woodworth; Srinadh Bhojanapalli; Behnam Neyshabur; Nathan Srebro;
25 May 2017
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15.
Single Pass PCA of Matrix Products
Shanshan Wu; Srinadh Bhojanapalli; Sujay Sanghavi; Alexandros G. Dimakis;
21 Oct 2016
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16.
Global Optimality of Local Search for Low Rank Matrix Recovery
Srinadh Bhojanapalli; Behnam Neyshabur; Nathan Srebro;
24 May 2016
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17.
Dropping Convexity for Faster Semi-definite Optimization
Srinadh Bhojanapalli; Anastasios Kyrillidis and; Sujay Sanghavi;
14 Sep 2015
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18.
Tighter Low-rank Approximation via Sampling the Leveraged Element
Srinadh Bhojanapalli; Prateek Jain; Sujay Sanghavi;
15 Oct 2014
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19.
Coherent Matrix Completion
Srinadh Bhojanapalli; Yudong Chen; Sujay Sanghavi; Rachel Ward;
12 Jun 2013
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