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Fast Heavy Inner Product Identification Between Weights and Inputs in
  Neural Network Training

Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training

19 November 2023
Lianke Qin
Saayan Mitra
Zhao Song
Yuanyuan Yang
Dinesh Manocha
ArXivPDFHTML

Papers citing "Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training"

10 / 10 papers shown
Title
A Fast Optimization View: Reformulating Single Layer Attention in LLM
  Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Time
A Fast Optimization View: Reformulating Single Layer Attention in LLM Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Time
Yeqi Gao
Zhao Song
Weixin Wang
Junze Yin
52
28
0
14 Sep 2023
Solving Tensor Low Cycle Rank Approximation
Solving Tensor Low Cycle Rank Approximation
Yichuan Deng
Yeqi Gao
Zhao Song
47
6
0
13 Apr 2023
Training Multi-Layer Over-Parametrized Neural Network in Subquadratic
  Time
Training Multi-Layer Over-Parametrized Neural Network in Subquadratic Time
Zhao Song
Licheng Zhang
Ruizhe Zhang
67
65
0
14 Dec 2021
Breaking the Linear Iteration Cost Barrier for Some Well-known
  Conditional Gradient Methods Using MaxIP Data-structures
Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures
Anshumali Shrivastava
Zhao Song
Zhaozhuo Xu
64
28
0
30 Nov 2021
Does Preprocessing Help Training Over-parameterized Neural Networks?
Does Preprocessing Help Training Over-parameterized Neural Networks?
Zhao Song
Shuo Yang
Ruizhe Zhang
63
50
0
09 Oct 2021
Sublinear Least-Squares Value Iteration via Locality Sensitive Hashing
Sublinear Least-Squares Value Iteration via Locality Sensitive Hashing
Anshumali Shrivastava
Zhao Song
Zhaozhuo Xu
36
22
0
18 May 2021
FetchSGD: Communication-Efficient Federated Learning with Sketching
FetchSGD: Communication-Efficient Federated Learning with Sketching
D. Rothchild
Ashwinee Panda
Enayat Ullah
Nikita Ivkin
Ion Stoica
Vladimir Braverman
Joseph E. Gonzalez
Raman Arora
FedML
60
367
0
15 Jul 2020
An Improved Cutting Plane Method for Convex Optimization, Convex-Concave
  Games and its Applications
An Improved Cutting Plane Method for Convex Optimization, Convex-Concave Games and its Applications
Haotian Jiang
Y. Lee
Zhao Song
Sam Chiu-wai Wong
50
106
0
08 Apr 2020
Solving Empirical Risk Minimization in the Current Matrix Multiplication
  Time
Solving Empirical Risk Minimization in the Current Matrix Multiplication Time
Y. Lee
Zhao Song
Qiuyi Zhang
69
117
0
11 May 2019
Subspace Embedding and Linear Regression with Orlicz Norm
Subspace Embedding and Linear Regression with Orlicz Norm
Alexandr Andoni
Chengyu Lin
Ying Sheng
Peilin Zhong
Ruiqi Zhong
39
36
0
17 Jun 2018
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