Deep Learning under Privileged Information Using Heteroscedastic Dropout

Deep Learning under Privileged Information Using Heteroscedastic Dropout

29 May 2018

Silvio Savarese

Papers citing "Deep Learning under Privileged Information Using Heteroscedastic Dropout"

15 / 15 papers shown

Title
Adaptive Generation of Privileged Intermediate Information for Visible-Infrared Person Re-Identification Mahdi Alehdaghi Arthur Josi Pourya Shamsolmoali Rafael M. O. Cruz Eric Granger GAN 46 3 0 06 Jul 2023
Human Pose Estimation in Extremely Low-Light Conditions Sohyun Lee Jaesung Rim Boseung Jeong Geon-Yeong Kim Byungju Woo Haechan Lee Sung-Jin Cho Suha Kwak VLM 48 22 0 27 Mar 2023
Audio Representation Learning by Distilling Video as Privileged Information Amirhossein Hajavi Ali Etemad 21 4 0 06 Feb 2023
A Multi-View Joint Learning Framework for Embedding Clinical Codes and Text Using Graph Neural Networks Lecheng Kong C. King Bradley A. Fritz Yixin Chen 14 1 0 27 Jan 2023
Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection John Lambert James Hays 26 28 0 14 Dec 2022
Teachers in concordance for pseudo-labeling of 3D sequential data Awet Haileslassie Gebrehiwot Patrik Vacek David Hurych Karel Zimmermann P. Pérez Tomáš Svoboda 3DPC 22 6 0 13 Jul 2022
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information Mark Collier Rodolphe Jenatton Efi Kokiopoulou Jesse Berent 25 13 0 18 Feb 2022
MPVNN: Mutated Pathway Visible Neural Network Architecture for Interpretable Prediction of Cancer-specific Survival Risk G. Roy N. Geard Karin Verspoor Shan He 32 9 0 02 Feb 2022
Object DGCNN: 3D Object Detection using Dynamic Graphs Yue Wang Justin Solomon 3DPC 157 104 0 13 Oct 2021
Improving the trustworthiness of image classification models by utilizing bounding-box annotations K. Dharma Chicheng Zhang 32 5 0 15 Aug 2021
SimAug: Learning Robust Representations from Simulation for Trajectory Prediction Junwei Liang Lu Jiang Alexander G. Hauptmann 36 18 0 04 Apr 2020
TRADI: Tracking deep neural network weight distributions for uncertainty estimation Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch UQCV 26 51 0 24 Dec 2019
Privileged Features Distillation at Taobao Recommendations Chen Xu Quan Li Junfeng Ge Jinyang Gao Xiaoyong Yang Changhua Pei Fei Sun Jian Wu Hanxiao Sun Wenwu Ou 15 67 0 11 Jul 2019
OpenNMT: Open-Source Toolkit for Neural Machine Translation Guillaume Klein Yoon Kim Yuntian Deng Jean Senellart Alexander M. Rush 273 1,896 0 10 Jan 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015