Constrained Deep Networks: Lagrangian Optimization via Log-Barrier
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Constrained Deep Networks: Lagrangian Optimization via Log-Barrier Extensions

8 April 2019

Jose Dolz

Christian Desrosiers

Ismail Ben Ayed

Papers citing "Constrained Deep Networks: Lagrangian Optimization via Log-Barrier Extensions"

16 / 16 papers shown

Title
CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos Soufiane Belharbi Shakeeb Murtaza M. Pedersoli Ismail Ben Ayed Luke McCaffrey Eric Granger WSOL 77 4 0 28 Jan 2025
L3Ms -- Lagrange Large Language Models Guneet S. Dhillon Xingjian Shi Yee Whye Teh Alex Smola 306 0 0 28 Oct 2024
Guaranteed Conformance of Neurosymbolic Models to Natural Constraints Kaustubh Sridhar Souradeep Dutta James Weimer Insup Lee 40 7 0 02 Dec 2022
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos Soufiane Belharbi Ismail Ben Ayed Luke McCaffrey Eric Granger WSOL 48 12 0 30 Aug 2022
GM-TOuNN: Graded Multiscale Topology Optimization using Neural Networks A. Chandrasekhar S. Sridhara K. Suresh AI4CE 24 8 0 14 Apr 2022
Constrained unsupervised anomaly segmentation Julio Silva-Rodríguez Valery Naranjo Jose Dolz 40 25 0 03 Mar 2022
Towards Positive Jacobian: Learn to Postprocess Diffeomorphic Image Registration with Matrix Exponential Soumyadeep Pal Matthew Tennant Nilanjan Ray MedIm 26 2 0 01 Feb 2022
Integrating Material Selection with Design Optimization via Neural Networks A. Chandrasekhar S. Sridhara K. Suresh AI4CE 32 6 0 23 Dec 2021
F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling Soufiane Belharbi Aydin Sarraf M. Pedersoli Ismail Ben Ayed Luke McCaffrey Eric Granger WSOL 48 30 0 15 Sep 2021
Looking at the whole picture: constrained unsupervised anomaly segmentation Julio Silva-Rodríguez Valery Naranjo Jose Dolz 38 5 0 01 Sep 2021
CNN-based Lung CT Registration with Multiple Anatomical Constraints Alessa Hering Stephanie Häger J. Moltz Nikolas Lessmann Stefan Heldmann Bram van Ginneken 21 63 0 29 Nov 2020
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey Rosana El Jurdia Caroline Petitjean P. Honeine Veronika Cheplygina F. Abdallah SSeg MedIm 52 79 0 16 Nov 2020
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty Soufiane Belharbi Jérôme Rony Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 29 53 0 14 Nov 2020
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision H. Kervadec Jose Dolz Shanshan Wang Eric Granger Ismail Ben Ayed 27 84 0 14 Apr 2020
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 393 10,675 0 19 Feb 2017
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 261 2,064 0 07 Jun 2016