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DNN or k-NN: That is the Generalize vs. Memorize Question

DNN or k-NN: That is the Generalize vs. Memorize Question

17 May 2018
Gilad Cohen
Guillermo Sapiro
Raja Giryes
ArXivPDFHTML

Papers citing "DNN or k-NN: That is the Generalize vs. Memorize Question"

21 / 21 papers shown
Title
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust
  Deep Learning
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning
Nicolas Papernot
Patrick McDaniel
OOD
AAML
50
505
0
13 Mar 2018
Stronger generalization bounds for deep nets via a compression approach
Stronger generalization bounds for deep nets via a compression approach
Sanjeev Arora
Rong Ge
Behnam Neyshabur
Yi Zhang
MLT
AI4CE
62
637
0
14 Feb 2018
Theory of Deep Learning III: explaining the non-overfitting puzzle
Theory of Deep Learning III: explaining the non-overfitting puzzle
T. Poggio
Kenji Kawaguchi
Q. Liao
Brando Miranda
Lorenzo Rosasco
Xavier Boix
Jack Hidary
H. Mhaskar
ODL
33
128
0
30 Dec 2017
Significance of Softmax-based Features in Comparison to Distance Metric
  Learning-based Features
Significance of Softmax-based Features in Comparison to Distance Metric Learning-based Features
Shota Horiguchi
Daiki Ikami
Kiyoharu Aizawa
37
64
0
29 Dec 2017
A Bayesian Perspective on Generalization and Stochastic Gradient Descent
A Bayesian Perspective on Generalization and Stochastic Gradient Descent
Samuel L. Smith
Quoc V. Le
BDL
37
247
0
17 Oct 2017
Generalization in Deep Learning
Generalization in Deep Learning
Kenji Kawaguchi
L. Kaelbling
Yoshua Bengio
ODL
53
459
0
16 Oct 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
VLM
87
2,378
0
10 Jul 2017
Exploring Generalization in Deep Learning
Exploring Generalization in Deep Learning
Behnam Neyshabur
Srinadh Bhojanapalli
David A. McAllester
Nathan Srebro
FAtt
121
1,245
0
27 Jun 2017
A Closer Look at Memorization in Deep Networks
A Closer Look at Memorization in Deep Networks
Devansh Arpit
Stanislaw Jastrzebski
Nicolas Ballas
David M. Krueger
Emmanuel Bengio
...
Tegan Maharaj
Asja Fischer
Aaron Courville
Yoshua Bengio
Simon Lacoste-Julien
TDI
84
1,801
0
16 Jun 2017
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural
  Networks with Many More Parameters than Training Data
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data
Gintare Karolina Dziugaite
Daniel M. Roy
61
808
0
31 Mar 2017
Sharp Minima Can Generalize For Deep Nets
Sharp Minima Can Generalize For Deep Nets
Laurent Dinh
Razvan Pascanu
Samy Bengio
Yoshua Bengio
ODL
88
763
0
15 Mar 2017
Towards End-to-End Speech Recognition with Deep Convolutional Neural
  Networks
Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks
Yanzhe Zhang
Mohammad Pezeshki
Philemon Brakel
Saizheng Zhang
Yoshua Bengio
Aaron Courville
36
367
0
10 Jan 2017
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
215
4,612
0
10 Nov 2016
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
338
2,913
0
15 Sep 2016
Wide & Deep Learning for Recommender Systems
Wide & Deep Learning for Recommender Systems
Heng-Tze Cheng
L. Koc
Jeremiah Harmsen
T. Shaked
Tushar Chandra
...
Zakaria Haque
Lichan Hong
Vihan Jain
Xiaobing Liu
Hemal Shah
HAI
VLM
122
3,636
0
24 Jun 2016
Robust Large Margin Deep Neural Networks
Robust Large Margin Deep Neural Networks
Jure Sokolić
Raja Giryes
Guillermo Sapiro
M. Rodrigues
52
307
0
26 May 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
192
7,951
0
23 May 2016
A note on the evaluation of generative models
A note on the evaluation of generative models
Lucas Theis
Aaron van den Oord
Matthias Bethge
EGVM
51
1,139
0
05 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
207
13,079
0
12 Mar 2015
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
287
27,205
0
01 Sep 2014
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
496
13,395
0
25 Aug 2014
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