DEBOSH: Deep Bayesian Shape Optimization

28 September 2021

Papers citing "DEBOSH: Deep Bayesian Shape Optimization"

34 / 34 papers shown

Title
IT $^3$ : Idempotent Test-Time Training Nikita Durasov Assaf Shocher Doruk Öner Gal Chechik Alexei A. Efros Pascal Fua OOD VLM 59 1 0 05 Oct 2024
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference Nikita Durasov Nik Dorndorf Hieu M. Le Pascal Fua UQCV 38 10 0 21 Nov 2022
Deep Deterministic Uncertainty for Semantic Segmentation Jishnu Mukhoti Joost R. van Amersfoort Philip Torr Y. Gal BDL UQCV 74 29 0 29 Oct 2021
On the Practicality of Deterministic Epistemic Uncertainty Janis Postels Mattia Segu Tao Sun Luca Sieber Luc Van Gool Feng Yu Federico Tombari UQCV 49 60 0 01 Jul 2021
DeepMesh: Differentiable Iso-Surface Extraction Benoît Guillard Edoardo Remelli Artem Lukoianov Stephan R. Richter Timur M. Bagautdinov Pierre Baqué Pascal Fua AI4CE 71 21 0 20 Jun 2021
Leveraging Self-Supervision for Cross-Domain Crowd Counting Weizhe Liu Nikita Durasov Pascal Fua 49 40 0 30 Mar 2021
Masksembles for Uncertainty Estimation Nikita Durasov Timur M. Bagautdinov Pierre Baqué Pascal Fua OOD UQCV 21 81 0 15 Dec 2020
MeshSDF: Differentiable Iso-Surface Extraction Edoardo Remelli Artem Lukoianov Stephan R. Richter Benoît Guillard Timur M. Bagautdinov Pierre Baqué Pascal Fua 68 148 0 06 Jun 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 80 487 0 17 Feb 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning Arsenii Ashukha Alexander Lyzhov Dmitry Molchanov Dmitry Vetrov UQCV FedML 50 314 0 15 Feb 2020
Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation Janis Postels Francesco Ferroni Huseyin Coskun Nassir Navab Federico Tombari UQCV UD PER BDL 90 139 0 01 Aug 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 137 4,289 0 06 Mar 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 73 3,654 0 16 Jan 2019
Occupancy Networks: Learning 3D Reconstruction in Function Space L. Mescheder Michael Oechsle Michael Niemeyer Sebastian Nowozin Andreas Geiger 3DV 209 2,875 0 10 Dec 2018
Double Refinement Network for Efficient Indoor Monocular Depth Estimation Nikita Durasov Mikhail Romanov Valeriya Bubnova P. Bogomolov Anton Konushin MDE 3DV 53 10 0 20 Nov 2018
Single-Model Uncertainties for Deep Learning Natasa Tagasovska David Lopez-Paz UQCV BDL 79 25 0 02 Nov 2018
UNet++: A Nested U-Net Architecture for Medical Image Segmentation Zongwei Zhou M. R. Siddiquee Nima Tajbakhsh Jianming Liang SSeg 59 6,066 0 18 Jul 2018
Deep Fluids: A Generative Network for Parameterized Fluid Simulations Byungsoo Kim Vinicius Azevedo N. Thürey Theodore Kim Markus Gross B. Solenthaler GAN 36 388 0 06 Jun 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 145 907 0 28 Feb 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 314 129,831 0 12 Jun 2017
Improving the Expected Improvement Algorithm Chao Qin Diego Klabjan Daniel Russo 54 136 0 29 May 2017
On weight initialization in deep neural networks S. Kumar ODL 30 226 0 28 Apr 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 441 5,748 0 05 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 334 1,813 0 25 Nov 2016
Accelerating Eulerian Fluid Simulation With Convolutional Networks Jonathan Tompson Kristofer Schlachter Pablo Sprechmann Ken Perlin 70 529 0 13 Jul 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 150 18,136 0 02 Jun 2016
Learning shape correspondence with anisotropic convolutional neural networks Davide Boscaini Jonathan Masci Emanuele Rodolà M. Bronstein 3DPC 93 506 0 20 May 2016
Stacked Hourglass Networks for Human Pose Estimation Alejandro Newell Kaiyu Yang Jia Deng 3DH 81 5,008 0 22 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.1K 192,638 0 10 Dec 2015
ShapeNet: An Information-Rich 3D Model Repository Angel X. Chang Thomas Funkhouser Leonidas Guibas Pat Hanrahan Qi-Xing Huang ... Shuran Song Hao Su Jianxiong Xiao L. Yi Feng Yu 3DV 52 5,482 0 09 Dec 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 182 5,502 0 23 Nov 2015
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 509 36,643 0 08 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 420 9,233 0 06 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 519 149,474 0 22 Dec 2014