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03/10/2021
AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation
AutoAugment has sparked an interest in automated augmentation methods fo...
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08/05/2019
DoorGym: A Scalable Door Opening Environment And Baseline Agent
Reinforcement Learning (RL) has brought forth ideas of autonomous robots...
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08/15/2018
DNN Feature Map Compression using Learned Representation over GF(2)
In this paper, we introduce a method to compress intermediate feature ma...
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06/29/2017
Path Integral Networks: End-to-End Differentiable Optimal Control
In this paper, we introduce Path Integral Networks (PI-Net), a recurrent...
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06/07/2017
ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks
In this paper we introduce ShiftCNN, a generalized low-precision archite...
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06/01/2017
TransFlow: Unsupervised Motion Flow by Joint Geometric and Pixel-level Estimation
We address unsupervised optical flow estimation for ego-centric motion. ...
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09/28/2016
Similarity Mapping with Enhanced Siamese Network for Multi-Object Tracking
Multi-object tracking has recently become an important area of computer ...
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03/06/2015
Deep Clustered Convolutional Kernels
Deep neural networks have recently achieved state of the art performance...
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12/11/2014