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1

Development and validation of a smartphone-based deep-learn..:

Dubois, Constance ; Eigen, David ; Simon, François...
npj Digital Medicine. 7 (2024) 1 - p. , 2024

Link: https://doi.org/10.1038/..

2

Coarse2Fine: a two-stage training method for fine-grained v..:

Eshratifar, Amir Erfan ; Eigen, David ; Gormish, Michael.
Machine Vision and Applications. 32 (2021) 2 - p. , 2021

Link: https://doi.org/10.1007/..

3

Efficient Training of Deep Convolutional Neural Networks by..:

, In: 2020 21st International Symposium on Quality Electronic Design (ISQED),

Abrishami, Mohammad Saeed ; Eshratifar, Amir Erfan ; Eigen, David... - p. 347-351 , 2020

Link: https://doi.org/10.1109/..

4

Finding Task-Relevant Features for Few-Shot Learning by Cat..:

, In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Li, Hongyang ; Eigen, David ; Dodge, Samuel.. - p. 1-10 , 2019

Link: https://doi.org/10.1109/..

5

Visualizing deep brain stimulation settings in obsessive co..:

, In: ACM SIGGRAPH 2004 Posters,

Eigen, David ; Grollman, Daniel ; Laidlaw, David.. - p. 110 ff. , 2004

Link: https://dl.acm.org/doi/1..

6

Efficient Training of Deep Convolutional Neural Networks by..:

Abrishami, Mohammad Saeed ; Eshratifar, Amir Erfan ; Eigen, David...
http://arxiv.org/abs/2002.04776. , 2020

Link: http://arxiv.org/abs/200..

7

Finding Task-Relevant Features for Few-Shot Learning by Cat..:

Li, Hongyang ; Eigen, David ; Dodge, Samuel..
http://arxiv.org/abs/1905.11116. , 2019

Link: http://arxiv.org/abs/190..

8

Coarse2Fine: A Two-stage Training Method for Fine-grained V..:

Eshratifar, Amir Erfan ; Eigen, David ; Gormish, Michael.
http://arxiv.org/abs/1909.02680. , 2019

Link: http://arxiv.org/abs/190..

9

A Meta-Learning Approach for Custom Model Training:

Eshratifar, Amir Erfan ; Abrishami, Mohammad Saeed ; Eigen, David.
http://arxiv.org/abs/1809.08346. , 2018

Link: http://arxiv.org/abs/180..

10

Gradient Agreement as an Optimization Objective for Meta-Le..:

Eshratifar, Amir Erfan ; Eigen, David ; Pedram, Massoud
http://arxiv.org/abs/1810.08178. , 2018

Link: http://arxiv.org/abs/181..

11

Unsupervised Feature Learning from Temporal Data:

Goroshin, Ross ; Bruna, Joan ; Tompson, Jonathan..
http://arxiv.org/abs/1504.02518. , 2015

Link: http://arxiv.org/abs/150..

12

Unsupervised Learning of Spatiotemporally Coherent Metrics:

Goroshin, Ross ; Bruna, Joan ; Tompson, Jonathan..
http://arxiv.org/abs/1412.6056. , 2014

Link: http://arxiv.org/abs/141..

13

Predicting Depth, Surface Normals and Semantic Labels with ..:

Eigen, David ; Fergus, Rob
http://arxiv.org/abs/1411.4734. , 2014

Link: http://arxiv.org/abs/141..

14

Depth Map Prediction from a Single Image using a Multi-Scal..:

Eigen, David ; Puhrsch, Christian ; Fergus, Rob
http://arxiv.org/abs/1406.2283. , 2014

Link: http://arxiv.org/abs/140..

15

End-to-End Integration of a Convolutional Network, Deformab..:

Wan, Li ; Eigen, David ; Fergus, Rob
http://arxiv.org/abs/1411.5309. , 2014

Link: http://arxiv.org/abs/141..

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