How to Incorporate Monotonicity in Deep Networks While Preserving Flexibility?

24 September 2019

Papers citing "How to Incorporate Monotonicity in Deep Networks While Preserving Flexibility?"

8 / 8 papers shown

Title
Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations Davide Sartor Alberto Sinigaglia Gian Antonio Susto 156 0 0 05 May 2025
Enhancing Monotonic Modeling with Spatio-Temporal Adaptive Awareness in Diverse Marketing Bin Li Jiayan Pei Feiyang Xiao Yifan Zhao Zhixing Zhang Diwei Liu Hengxu He Jia Jia 46 0 0 20 Jun 2024
Adaptive Model Selection Framework: An Application to Airline Pricing Naman Shukla A. Kolbeinsson Lavanya Marla Kartik Yellepeddi 30 8 0 21 May 2019
Dynamic Pricing for Airline Ancillaries with Customer Context Naman Shukla Arinbjorn Kolbeinsson K. Otwell Lavanya Marla Kartik Yellepeddi 32 41 0 06 Feb 2019
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation Jianbo Chen Le Song Martin J. Wainwright Michael I. Jordan MLT FAtt 129 568 0 21 Feb 2018
Deep Lattice Networks and Partial Monotonic Functions Seungil You David Ding K. Canini Jan Pfeifer Maya R. Gupta 62 141 0 19 Sep 2017
Imposing Hard Constraints on Deep Networks: Promises and Limitations Pablo Márquez-Neila Mathieu Salzmann Pascal Fua PINN UQCV 112 140 0 07 Jun 2017
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation Deepak Pathak Philipp Krahenbuhl Trevor Darrell SSeg 80 612 0 11 Jun 2015