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Understanding Generalization through Visualizations

Understanding Generalization through Visualizations

7 June 2019
W. R. Huang
Z. Emam
Micah Goldblum
Liam H. Fowl
J. K. Terry
Furong Huang
Tom Goldstein
    AI4CE
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Papers citing "Understanding Generalization through Visualizations"

13 / 13 papers shown
Title
Can Optimization Trajectories Explain Multi-Task Transfer?
Can Optimization Trajectories Explain Multi-Task Transfer?
David Mueller
Mark Dredze
Nicholas Andrews
55
1
0
26 Aug 2024
Just How Flexible are Neural Networks in Practice?
Just How Flexible are Neural Networks in Practice?
Ravid Shwartz-Ziv
Micah Goldblum
Arpit Bansal
C. B. Bruss
Yann LeCun
Andrew Gordon Wilson
40
4
0
17 Jun 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Fei Zhu
Xu-Yao Zhang
Zhen Cheng
Cheng-Lin Liu
UQCV
49
10
0
05 Mar 2024
Rethinking Confidence Calibration for Failure Prediction
Rethinking Confidence Calibration for Failure Prediction
Fei Zhu
Zhen Cheng
Xu-Yao Zhang
Cheng-Lin Liu
UQCV
14
39
0
06 Mar 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of
  Neural Networks
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks
Samyak Jain
Sravanti Addepalli
P. Sahu
Priyam Dey
R. Venkatesh Babu
MoMe
OOD
37
20
0
28 Feb 2023
A picture of the space of typical learnable tasks
A picture of the space of typical learnable tasks
Rahul Ramesh
J. Mao
Itay Griniasty
Rubing Yang
H. Teoh
M. Transtrum
J. Sethna
Pratik Chaudhari
SSL
DRL
36
4
0
31 Oct 2022
K-SAM: Sharpness-Aware Minimization at the Speed of SGD
K-SAM: Sharpness-Aware Minimization at the Speed of SGD
Renkun Ni
Ping Yeh-Chiang
Jonas Geiping
Micah Goldblum
A. Wilson
Tom Goldstein
18
8
0
23 Oct 2022
How Much Data Are Augmentations Worth? An Investigation into Scaling
  Laws, Invariance, and Implicit Regularization
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
Jonas Geiping
Micah Goldblum
Gowthami Somepalli
Ravid Shwartz-Ziv
Tom Goldstein
A. Wilson
24
35
0
12 Oct 2022
Linear Connectivity Reveals Generalization Strategies
Linear Connectivity Reveals Generalization Strategies
Jeevesh Juneja
Rachit Bansal
Kyunghyun Cho
João Sedoc
Naomi Saphra
234
45
0
24 May 2022
Preventing Unauthorized Use of Proprietary Data: Poisoning for Secure
  Dataset Release
Preventing Unauthorized Use of Proprietary Data: Poisoning for Secure Dataset Release
Liam H. Fowl
Ping Yeh-Chiang
Micah Goldblum
Jonas Geiping
Arpit Bansal
W. Czaja
Tom Goldstein
8
43
0
16 Feb 2021
Bayesian Deep Learning and a Probabilistic Perspective of Generalization
Bayesian Deep Learning and a Probabilistic Perspective of Generalization
A. Wilson
Pavel Izmailov
UQCV
BDL
OOD
19
639
0
20 Feb 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
281
2,888
0
15 Sep 2016
Norm-Based Capacity Control in Neural Networks
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
119
577
0
27 Feb 2015
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