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Orthogonal Over-Parameterized Training

Orthogonal Over-Parameterized Training

9 April 2020
Weiyang Liu
Rongmei Lin
Zhen Liu
James M. Rehg
Liam Paull
Li Xiong
Le Song
Adrian Weller
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Papers citing "Orthogonal Over-Parameterized Training"

20 / 20 papers shown
Title
Robustness of Nonlinear Representation Learning
Robustness of Nonlinear Representation Learning
Simon Buchholz
Bernhard Schölkopf
OOD
114
3
0
19 Mar 2025
Spectral-factorized Positive-definite Curvature Learning for NN Training
Spectral-factorized Positive-definite Curvature Learning for NN Training
Wu Lin
Felix Dangel
Runa Eschenhagen
Juhan Bae
Richard E. Turner
Roger B. Grosse
45
0
0
10 Feb 2025
Orthogonal Finetuning for Direct Preference Optimization
Orthogonal Finetuning for Direct Preference Optimization
Chenxu Yang
Ruipeng Jia
Naibin Gu
Zheng-Shen Lin
Siyuan Chen
Chao Pang
Weichong Yin
Yu Sun
Hua-Hong Wu
Weiping Wang
27
0
0
23 Sep 2024
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
Xinyu Ma
Xu Chu
Zhibang Yang
Yang Lin
Xin Gao
Junfeng Zhao
38
6
0
05 Apr 2024
Generalizing and Decoupling Neural Collapse via Hyperspherical
  Uniformity Gap
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap
Weiyang Liu
L. Yu
Adrian Weller
Bernhard Schölkopf
32
17
0
11 Mar 2023
Hyperspherical Quantization: Toward Smaller and More Accurate Models
Hyperspherical Quantization: Toward Smaller and More Accurate Models
Dan Liu
X. Chen
Chen-li Ma
Xue Liu
MQ
20
3
0
24 Dec 2022
Continual Learning by Modeling Intra-Class Variation
Continual Learning by Modeling Intra-Class Variation
L. Yu
Tianyang Hu
Lanqing Hong
Zhen Liu
Adrian Weller
Weiyang Liu
CLL
48
12
0
11 Oct 2022
Utilizing Excess Resources in Training Neural Networks
Utilizing Excess Resources in Training Neural Networks
Amit Henig
Raja Giryes
29
0
0
12 Jul 2022
Data-Efficient Learning via Minimizing Hyperspherical Energy
Data-Efficient Learning via Minimizing Hyperspherical Energy
Xiaofeng Cao
Weiyang Liu
Ivor W. Tsang
14
8
0
30 Jun 2022
Hyperspherical Consistency Regularization
Hyperspherical Consistency Regularization
Cheng Tan
Zhangyang Gao
Lirong Wu
Siyuan Li
Stan Z. Li
25
24
0
02 Jun 2022
Feedback Gradient Descent: Efficient and Stable Optimization with
  Orthogonality for DNNs
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs
Fanchen Bu
D. Chang
17
6
0
12 May 2022
projUNN: efficient method for training deep networks with unitary
  matrices
projUNN: efficient method for training deep networks with unitary matrices
B. Kiani
Randall Balestriero
Yann LeCun
S. Lloyd
34
32
0
10 Mar 2022
Towards Principled Disentanglement for Domain Generalization
Towards Principled Disentanglement for Domain Generalization
Hanlin Zhang
Yi-Fan Zhang
Weiyang Liu
Adrian Weller
Bernhard Schölkopf
Eric P. Xing
OOD
23
112
0
27 Nov 2021
Iterative Teaching by Label Synthesis
Iterative Teaching by Label Synthesis
Weiyang Liu
Zhen Liu
Hanchen Wang
Liam Paull
Bernhard Schölkopf
Adrian Weller
35
16
0
27 Oct 2021
Provable Lifelong Learning of Representations
Provable Lifelong Learning of Representations
Xinyuan Cao
Weiyang Liu
Santosh Vempala
CLL
19
13
0
27 Oct 2021
SphereFace2: Binary Classification is All You Need for Deep Face
  Recognition
SphereFace2: Binary Classification is All You Need for Deep Face Recognition
Yandong Wen
Weiyang Liu
Adrian Weller
Bhiksha Raj
Rita Singh
CVBM
MQ
16
53
0
03 Aug 2021
Learning with Hyperspherical Uniformity
Learning with Hyperspherical Uniformity
Weiyang Liu
Rongmei Lin
Zhen Liu
Li Xiong
Bernhard Schölkopf
Adrian Weller
26
35
0
02 Mar 2021
ShiftAddNet: A Hardware-Inspired Deep Network
ShiftAddNet: A Hardware-Inspired Deep Network
Haoran You
Xiaohan Chen
Yongan Zhang
Chaojian Li
Sicheng Li
Zihao Liu
Zhangyang Wang
Yingyan Lin
OOD
MQ
68
76
0
24 Oct 2020
Angular Visual Hardness
Angular Visual Hardness
Beidi Chen
Weiyang Liu
Zhiding Yu
Jan Kautz
Anshumali Shrivastava
Animesh Garg
Anima Anandkumar
AAML
35
51
0
04 Dec 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
278
11,677
0
09 Mar 2017
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