research
∙
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...
share
research
∙
08/05/2019
DoorGym: A Scalable Door Opening Environment And Baseline Agent
Reinforcement Learning (RL) has brought forth ideas of autonomous robots...
research
∙
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...
research
∙
06/29/2017
Path Integral Networks: End-to-End Differentiable Optimal Control
In this paper, we introduce Path Integral Networks (PI-Net), a recurrent...
research
∙
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...
research
∙
06/01/2017
TransFlow: Unsupervised Motion Flow by Joint Geometric and Pixel-level Estimation
We address unsupervised optical flow estimation for ego-centric motion. ...
research
∙
09/28/2016
Similarity Mapping with Enhanced Siamese Network for Multi-Object Tracking
Multi-object tracking has recently become an important area of computer ...
research
∙
03/06/2015
Deep Clustered Convolutional Kernels
Deep neural networks have recently achieved state of the art performance...
research
∙
12/11/2014
