David Eigen

Clarifai Inc.

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I am currently a research scientist at Clarifai.

My research areas are computer vision and machine learning. I graduated with a PhD in Computer Science from NYU in 2015; my advisor was Rob Fergus.

Papers20 papers

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Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space

Abrishami Mohammad Saeed, Eshratifar Amir Erfan,Eigen David, Wang Yanzhi,Nazarian Shahin,Pedram Massoud

2020 21st International Symposium on Quality Electronic Design (ISQED), pp.347-351, (2020)

EIWOSBibtex

Coarse2Fine: A Two-stage Training Method for Fine-grained Visual Classification

Eshratifar Amir Erfan,Eigen David, Gormish Michael,Pedram Massoud

Bibtex

Finding Task-Relevant Features for Few-Shot Learning by Category Traversal

Hongyang Li,David Eigen,Samuel Dodge,Matthew Zeiler,Xiaogang Wang

CVPR, (2019): 1-10

Cited by26EIBibtex

A Meta-Learning Approach for Custom Model Training

Amir Erfan Eshratifar,Mohammad Saeed Abrishami,David Eigen,Massoud Pedram

national conference on artificial intelligence, (2019)

EIBibtex

Gradient Agreement as an Optimization Objective for Meta-Learning

Amir Erfan Eshratifar,David Eigen,Massoud Pedram

arXiv: Learning, (2018)

EIBibtex

SYSTEM, METHOD AND COMPUTER-ACCESSIBLE MEDIUM FOR RESTORING AN IMAGE TAKEN THROUGH A WINDOW

Rob Fergus,David Eigen, Dilip Krishnan

(2015)

Cited by3Bibtex

Unsupervised Feature Learning from Temporal Data

Ross Goroshin,Joan Bruna,Jonathan Tompson,David Eigen,Yann LeCun

International Conference on Learning Representations, (2015)

Cited by29EIBibtex

End-to-End Integration of a Convolutional Network, Deformable Parts Model and Non-Maximum Suppression

Li Wan,David Eigen,Rob Fergus

IEEE Conference on Computer Vision and Pattern Recognition, (2015)

Cited by76EIWOSBibtex

OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

Pierre Sermanet,David Eigen,Xiang Zhang,Michaël Mathieu,Robert Fergus,Yann LeCun

international conference on learning representations, (2014)

Cited by3727EIBibtex

Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

David Eigen,Christian Puhrsch,Rob Fergus

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 27 (NIPS 2014), (2014): 2366-2374

Cited by1584EIBibtex

Understanding deep architectures using a recursive convolutional network: 2nd International Conference on Learning Representations, ICLR 2014

David Eigen,Jason Rolfe, Rob Fergus,Yann LeCun

international conference on learning representations, (2014)

Bibtex

Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture

David Eigen,Rob Fergus

international conference on computer vision, (2014)

Cited by1446EIBibtex

Understanding Deep Architectures using a Recursive Convolutional Network

David Eigen,Jason Tyler Rolfe,Rob Fergus,Yann LeCun

International Conference on Learning Representations, (2013)

Cited by81EIBibtex

Learning Factored Representations in a Deep Mixture of Experts

David Eigen,Marc'Aurelio Ranzato,Ilya Sutskever

international conference on learning representations, (2013)

Cited by89EIBibtex

Restoring an Image Taken through a Window Covered with Dirt or Rain

David Eigen,Dilip Krishnan,Rob Fergus

ICCV, pp.633-640, (2013)

Cited by227EIBibtex

Nonparametric image parsing using adaptive neighbor sets

David Eigen,Rob Fergus

computer vision and pattern recognition, (2012)

Cited by93Bibtex

Nonparametric image parsing using adaptive neighbor sets

Rob Fergus

CVPR, pp.2799-2806, (2012)

Cited by81EIBibtex

Visualizing deep brain stimulation settings in obsessive compulsive disorder

David Eigen,Daniel H. Grollman,David H. Laidlaw,Benjamin D. Greenberg,Erin Einbinder

SIGGRAPH Posters, pp.110-110, (2004)

EIBibtex

Visualizing Deep Brain Stimulation Settings in Obsessive Compulsive Disorder Patients

David Eigen, Vadim Slavin Nicholas Yang, Benjamin M Greenberg, D Erin Einbinder

(2003)

Bibtex

Eects of Interaction on Human Memory

David Eigen

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David EigenBinding

Papers20 papers

David Eigen