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Constrained Deep Networks: Lagrangian Optimization via Log-Barrier Extensions

8 April 2019

Jose Dolz

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

29 / 29 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 235 5 0 28 Jan 2025
L3Ms -- Lagrange Large Language Models Guneet S. Dhillon Xingjian Shi Yee Whye Teh Alex Smola 471 0 0 28 Oct 2024
Learning to Optimize for Mixed-Integer Non-linear Programming Bo Tang Elias Boutros Khalil Ján Drgoňa 81 2 0 14 Oct 2024
Constrained Reinforcement Learning for Safe Heat Pump Control Baohe Zhang Lilli Frison Thomas Brox Joschka Bödecker AI4CE 68 0 0 29 Sep 2024
Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos Shakeeb Murtaza M. Pedersoli Aydin Sarraf Eric Granger WSOL 112 0 0 08 Jul 2024
Constrained Reinforcement Learning with Smoothed Log Barrier Function Baohe Zhang Yuan Zhang Lilli Frison Thomas Brox Joschka Bödecker 98 8 0 21 Mar 2024
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints Balamurali Murugesan Sukesh Adiga Vasudeva Bingyuan Liu H. Lombaert Ismail Ben Ayed Jose Dolz UQCV 97 6 0 25 Jan 2024
Learning via Wasserstein-Based High Probability Generalisation Bounds Paul Viallard Maxime Haddouche Umut Simsekli Benjamin Guedj 77 12 0 07 Jun 2023
Guaranteed Conformance of Neurosymbolic Models to Natural Constraints Kaustubh Sridhar Souradeep Dutta James Weimer Insup Lee 147 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 104 14 0 30 Aug 2022
GM-TOuNN: Graded Multiscale Topology Optimization using Neural Networks A. Chandrasekhar S. Sridhara K. Suresh AI4CE 111 8 0 14 Apr 2022
Neuro-physical dynamic load modeling using differentiable parametric optimization S. Abhyankar Ján Drgoňa Andrew August Elliott Skomski Aaron Tuor 37 2 0 20 Mar 2022
Constrained unsupervised anomaly segmentation Julio Silva-Rodríguez Valery Naranjo Jose Dolz 57 25 0 03 Mar 2022
Towards Positive Jacobian: Learn to Postprocess Diffeomorphic Image Registration with Matrix Exponential Soumyadeep Pal Matthew Tennant Nilanjan Ray MedIm 38 2 0 01 Feb 2022
Negative Evidence Matters in Interpretable Histology Image Classification Soufiane Belharbi M. Pedersoli Ismail Ben Ayed Luke McCaffrey Eric Granger 107 12 0 07 Jan 2022
Effect of Prior-based Losses on Segmentation Performance: A Benchmark Rosana El Jurdi Caroline Petitjean Veronika Cheplygina P. Honeine F. Abdallah SSeg 21 0 0 07 Jan 2022
Integrating Material Selection with Design Optimization via Neural Networks A. Chandrasekhar S. Sridhara K. Suresh AI4CE 49 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 104 31 0 15 Sep 2021
Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling Franck Djeumou Cyrus Neary Eric Goubault S. Putot Ufuk Topcu PINN AI4CE 101 73 0 14 Sep 2021
Looking at the whole picture: constrained unsupervised anomaly segmentation Julio Silva-Rodríguez Valery Naranjo Jose Dolz 54 5 0 01 Sep 2021
Greedy-layer Pruning: Speeding up Transformer Models for Natural Language Processing David Peer Sebastian Stabinger Stefan Engl A. Rodríguez-Sánchez 29 28 0 31 May 2021
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! H. Kervadec Houda Bahig L. Létourneau-Guillon Jose Dolz Ismail Ben Ayed 160 14 0 03 May 2021
Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound Paul Viallard Pascal Germain Amaury Habrard Emilie Morvant 46 6 0 28 Apr 2021
CNN-based Lung CT Registration with Multiple Anatomical Constraints Alessa Hering Stephanie Häger J. Moltz Nikolas Lessmann Stefan Heldmann Bram van Ginneken 65 65 0 29 Nov 2020
Augmented Lagrangian Adversarial Attacks Jérôme Rony Eric Granger M. Pedersoli Ismail Ben Ayed AAML 70 39 0 24 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 91 83 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 81 54 0 14 Nov 2020
Learning Constrained Adaptive Differentiable Predictive Control Policies With Guarantees Ján Drgoňa Aaron Tuor D. Vrabie 100 18 0 23 Apr 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 86 85 0 14 Apr 2020