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


Feb 12, 2020
Mohammad Saeed Abrishami, Amir Erfan Eshratifar, David Eigen, Yanzhi Wang, Shahin Nazarian, Massoud Pedram

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


Sep 06, 2019
Amir Erfan Eshratifar, David Eigen, Michael Gormish, Massoud Pedram

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


May 27, 2019
Hongyang Li, David Eigen, Samuel Dodge, Matthew Zeiler, Xiaogang Wang

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* CVPR 2019 

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Gradient Agreement as an Optimization Objective for Meta-Learning


Oct 18, 2018
Amir Erfan Eshratifar, David Eigen, Massoud Pedram

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A Meta-Learning Approach for Custom Model Training


Sep 21, 2018
Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram

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


Dec 17, 2015
David Eigen, Rob Fergus

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Unsupervised Learning of Spatiotemporally Coherent Metrics


Sep 08, 2015
Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun

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* To appear at ICCV2015 

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Unsupervised Feature Learning from Temporal Data


Apr 15, 2015
Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun

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* arXiv admin note: substantial text overlap with arXiv:1412.6056 

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


Nov 19, 2014
Li Wan, David Eigen, Rob Fergus

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


Jun 09, 2014
David Eigen, Christian Puhrsch, Rob Fergus

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