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TRADI: Tracking deep neural network weight distributions for uncertainty
  estimation

TRADI: Tracking deep neural network weight distributions for uncertainty estimation

24 December 2019
Gianni Franchi
Andrei Bursuc
Emanuel Aldea
Séverine Dubuisson
Isabelle Bloch
    UQCV
ArXivPDFHTML

Papers citing "TRADI: Tracking deep neural network weight distributions for uncertainty estimation"

18 / 18 papers shown
Title
Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs
Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs
Aidan Ferguson
Perry Gibson
Lara DÁgata
Parker McLeod
Ferhat Yaman
Amitabh Das
Ian Colbert
José Cano
58
0
0
12 Mar 2025
Partitioned Neural Network Training via Synthetic Intermediate Labels
Partitioned Neural Network Training via Synthetic Intermediate Labels
C. V. Karadag
Nezih Topaloglu
29
0
0
17 Mar 2024
The Robust Semantic Segmentation UNCV2023 Challenge Results
The Robust Semantic Segmentation UNCV2023 Challenge Results
Xuanlong Yu
Yi Zuo
Zitao Wang
Xiaowen Zhang
Jiaxuan Zhao
...
Angela Yao
Wenlong Chen
Ivor J. A. Simpson
Neill D. F. Campbell
Gianni Franchi
UQCV
33
4
0
27 Sep 2023
Maskomaly:Zero-Shot Mask Anomaly Segmentation
Maskomaly:Zero-Shot Mask Anomaly Segmentation
J. Ackermann
Christos Sakaridis
F. I. F. Richard Yu
ISeg
16
23
0
26 May 2023
Smooth Mathematical Function from Compact Neural Networks
Smooth Mathematical Function from Compact Neural Networks
I. K. Hong
16
0
0
31 Dec 2022
Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning
  for Salient Object Detection
Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection
Zhenyu Wu
Lin Wang
Wen Wang
Qing Xia
Chenglizhao Chen
Aimin Hao
Shuo Li
AAML
25
5
0
13 Dec 2022
Packed-Ensembles for Efficient Uncertainty Estimation
Packed-Ensembles for Efficient Uncertainty Estimation
Olivier Laurent
Adrien Lafage
Enzo Tartaglione
Geoffrey Daniel
Jean-Marc Martinez
Andrei Bursuc
Gianni Franchi
OODD
36
32
0
17 Oct 2022
Statistical Modeling of Soft Error Influence on Neural Networks
Statistical Modeling of Soft Error Influence on Neural Networks
Haitong Huang
Xing-xiong Xue
Cheng Liu
Ying Wang
Tao Luo
Long Cheng
Huawei Li
Xiaowei Li
24
7
0
12 Oct 2022
Block Format Error Bounds and Optimal Block Size Selection
Block Format Error Bounds and Optimal Block Size Selection
I. Soloveychik
I. Lyubomirsky
Xin Eric Wang
S. Bhoja
MQ
27
4
0
11 Oct 2022
Latent Discriminant deterministic Uncertainty
Latent Discriminant deterministic Uncertainty
Gianni Franchi
Xuanlong Yu
Andrei Bursuc
Emanuel Aldea
Séverine Dubuisson
David Filliat
UQCV
22
18
0
20 Jul 2022
Instance-Aware Observer Network for Out-of-Distribution Object
  Segmentation
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation
Victor Besnier
Andrei Bursuc
David Picard
Alexandre Briot
39
1
0
18 Jul 2022
Triggering Failures: Out-Of-Distribution detection by learning from
  local adversarial attacks in Semantic Segmentation
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation
Victor Besnier
Andrei Bursuc
David Picard
Alexandre Briot
UQCV
11
48
0
03 Aug 2021
Robust Semantic Segmentation with Superpixel-Mix
Robust Semantic Segmentation with Superpixel-Mix
Gianni Franchi
Nacim Belkhir
Mai Lan Ha
Yufei Hu
Andrei Bursuc
V. Blanz
Angela Yao
UQCV
22
22
0
02 Aug 2021
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks
Agustinus Kristiadi
Matthias Hein
Philipp Hennig
BDL
UQCV
9
276
0
24 Feb 2020
Batch Kalman Normalization: Towards Training Deep Neural Networks with
  Micro-Batches
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches
Guangrun Wang
Jiefeng Peng
Ping Luo
Xinjiang Wang
Liang Lin
29
18
0
09 Feb 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,660
0
05 Dec 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
216
2,055
0
07 Jun 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
249
9,134
0
06 Jun 2015
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