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Critical Learning Periods in Deep Neural Networks
24 November 2017
Alessandro Achille
Matteo Rovere
Stefano Soatto
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Papers citing
"Critical Learning Periods in Deep Neural Networks"
35 / 85 papers shown
A precortical module for robust CNNs to light variations
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J. Petkovic
153
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15 Feb 2022
Real World Large Scale Recommendation Systems Reproducibility and Smooth Activations
G. Shamir
Dong Lin
HAI
OffRL
177
8
0
14 Feb 2022
Reproducibility in Optimization: Theoretical Framework and Limits
Neural Information Processing Systems (NeurIPS), 2022
Kwangjun Ahn
Prateek Jain
Ziwei Ji
Satyen Kale
Praneeth Netrapalli
G. Shamir
270
27
0
09 Feb 2022
CropDefender: deep watermark which is more convenient to train and more robust against cropping
Jiayuan Ding
Yuchen Cao
Changhao Shi
45
0
0
12 Sep 2021
Domain Adaptor Networks for Hyperspectral Image Recognition
Gustavo Pérez
Subhransu Maji
132
0
0
03 Aug 2021
A Tale Of Two Long Tails
Daniel D'souza
Zach Nussbaum
Chirag Agarwal
Sara Hooker
178
24
0
27 Jul 2021
Does Optimal Source Task Performance Imply Optimal Pre-training for a Target Task?
Steven Gutstein
Brent Lance
Sanjay Shakkottai
105
1
0
21 Jun 2021
When Does Contrastive Visual Representation Learning Work?
Computer Vision and Pattern Recognition (CVPR), 2021
Elijah Cole
Xuan S. Yang
Kimberly Wilber
Oisin Mac Aodha
Serge Belongie
SSL
398
137
0
12 May 2021
RATT: Leveraging Unlabeled Data to Guarantee Generalization
International Conference on Machine Learning (ICML), 2021
Saurabh Garg
Sivaraman Balakrishnan
J. Zico Kolter
Zachary Chase Lipton
240
30
0
01 May 2021
Intraclass clustering: an implicit learning ability that regularizes DNNs
International Conference on Learning Representations (ICLR), 2021
Simon Carbonnelle
Christophe De Vleeschouwer
167
9
0
11 Mar 2021
Nondeterminism and Instability in Neural Network Optimization
International Conference on Machine Learning (ICML), 2021
Cecilia Summers
M. Dinneen
188
51
0
08 Mar 2021
Synthesizing Irreproducibility in Deep Networks
R. Snapp
G. Shamir
OOD
195
11
0
21 Feb 2021
Supervised Momentum Contrastive Learning for Few-Shot Classification
Orchid Majumder
Avinash Ravichandran
Subhransu Maji
Alessandro Achille
M. Polito
Stefano Soatto
SSL
187
13
0
26 Jan 2021
Double Meta-Learning for Data Efficient Policy Optimization in Non-Stationary Environments
IEEE International Conference on Robotics and Automation (ICRA), 2020
Elahe Aghapour
Nora Ayanian
OffRL
116
4
0
21 Nov 2020
Smooth activations and reproducibility in deep networks
G. Shamir
Dong Lin
Lorenzo Coviello
252
24
0
20 Oct 2020
Anti-Distillation: Improving reproducibility of deep networks
G. Shamir
Lorenzo Coviello
225
19
0
19 Oct 2020
Estimating Example Difficulty Using Variance of Gradients
Computer Vision and Pattern Recognition (CVPR), 2020
Chirag Agarwal
Daniel D'souza
Sara Hooker
559
124
0
26 Aug 2020
The Surprising Simplicity of the Early-Time Learning Dynamics of Neural Networks
Wei Hu
Lechao Xiao
Ben Adlam
Jeffrey Pennington
194
69
0
25 Jun 2020
How many winning tickets are there in one DNN?
Kathrin Grosse
Michael Backes
UQCV
93
2
0
12 Jun 2020
Heterogeneous Knowledge Distillation using Information Flow Modeling
Computer Vision and Pattern Recognition (CVPR), 2020
Nikolaos Passalis
Maria Tzelepi
Anastasios Tefas
199
160
0
02 May 2020
Triple Memory Networks: a Brain-Inspired Method for Continual Learning
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Liyuan Wang
Bo Lei
Qian Li
Hang Su
Jun Zhu
Yi Zhong
AAML
138
59
0
06 Mar 2020
A New MRAM-based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision
International Symposium on Circuits and Systems (ISCAS), 2020
Hongjie Wang
Yang Zhao
Chaojian Li
Yue Wang
Yingyan Lin
99
15
0
02 Mar 2020
The Early Phase of Neural Network Training
International Conference on Learning Representations (ICLR), 2020
Jonathan Frankle
D. Schwab
Ari S. Morcos
365
190
0
24 Feb 2020
The Break-Even Point on Optimization Trajectories of Deep Neural Networks
International Conference on Learning Representations (ICLR), 2020
Stanislaw Jastrzebski
Maciej Szymczak
Stanislav Fort
Devansh Arpit
Jacek Tabor
Dong Wang
Krzysztof J. Geras
249
184
0
21 Feb 2020
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks
Computer Vision and Pattern Recognition (CVPR), 2019
Aditya Golatkar
Alessandro Achille
Stefano Soatto
CLL
MU
527
675
0
12 Nov 2019
LCA: Loss Change Allocation for Neural Network Training
Neural Information Processing Systems (NeurIPS), 2019
Janice Lan
Rosanne Liu
Hattie Zhou
J. Yosinski
198
27
0
03 Sep 2019
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks
IEEE Journal on Selected Topics in Signal Processing (JSTSP), 2019
Simon Wiedemann
H. Kirchhoffer
Stefan Matlage
Paul Haase
Arturo Marbán
...
Ahmed Osman
D. Marpe
H. Schwarz
Thomas Wiegand
Wojciech Samek
244
107
0
27 Jul 2019
Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias
Neural Information Processing Systems (NeurIPS), 2019
Stéphane dÁscoli
Levent Sagun
Joan Bruna
Giulio Biroli
183
37
0
16 Jun 2019
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade
Journal of Mathematical Imaging and Vision (JMIV), 2019
T. Lindeberg
282
21
0
29 May 2019
DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression
Simon Wiedemann
H. Kirchhoffer
Stefan Matlage
Paul Haase
Arturo Marbán
...
Ahmed Osman
D. Marpe
H. Schwarz
Thomas Wiegand
Wojciech Samek
MQ
169
21
0
15 May 2019
The Information Complexity of Learning Tasks, their Structure and their Distance
Alessandro Achille
Giovanni Paolini
G. Mbeng
Stefano Soatto
142
58
0
05 Apr 2019
Task2Vec: Task Embedding for Meta-Learning
IEEE International Conference on Computer Vision (ICCV), 2019
Alessandro Achille
Michael Lam
Rahul Tewari
Avinash Ravichandran
Subhransu Maji
Charless C. Fowlkes
Stefano Soatto
Pietro Perona
SSL
227
338
0
10 Feb 2019
A Closer Look at Structured Pruning for Neural Network Compression
Elliot J. Crowley
Jack Turner
Amos Storkey
Michael F. P. O'Boyle
3DPC
190
31
0
10 Oct 2018
Dynamics and Reachability of Learning Tasks
Alessandro Achille
G. Mbeng
Stefano Soatto
69
7
0
04 Oct 2018
Continual Lifelong Learning with Neural Networks: A Review
G. I. Parisi
Ronald Kemker
Jose L. Part
Christopher Kanan
S. Wermter
KELM
CLL
694
3,242
1
21 Feb 2018
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