Learning Deep Structured Models

9 July 2014

Papers citing "Learning Deep Structured Models"

50 / 125 papers shown

Title
Coalitions of AI-based Methods Predict 15-Year Risks of Breast Cancer Metastasis Using Real-World Clinical Data with AUC up to 0.9 Xia Jiang Yijun Zhou Alan Wells A. Brufsky OOD AI4CE 33 0 0 29 Aug 2024
Multi-Label Out-of-Distribution Detection with Spectral Normalized Joint Energy Yihan Mei Xinyu Wang De-Fu Zhang Xiaoling Wang OODD 41 2 0 08 May 2024
Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification Shivvrat Arya Yu Xiang Vibhav Gogate BDL 18 1 0 17 Apr 2024
Convergence of Some Convex Message Passing Algorithms to a Fixed Point Václav Voráček Tomas Werner 21 0 0 07 Mar 2024
Factor Graph Neural Networks Zhen Zhang Mohammed Haroon Dupty Fan Wu Javen Qinfeng Shi Fan Wu AI4CE 30 40 0 02 Aug 2023
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation Shuyang Sun Weijun Wang Qihang Yu Andrew G. Howard Philip Torr Liang-Chieh Chen 39 15 0 29 Jun 2023
OVeNet: Offset Vector Network for Semantic Segmentation Stamatis Alexandropoulos Christos Sakaridis Petros Maragos SSeg 26 1 0 25 Mar 2023
Deep Dependency Networks for Multi-Label Classification Shivvrat Arya Yu Xiang Vibhav Gogate 11 0 0 01 Feb 2023
CARE: Certifiably Robust Learning with Reasoning via Variational Inference Jiawei Zhang Linyi Li Ce Zhang Bo-wen Li AAML OOD 43 8 0 12 Sep 2022
Spatial Parsing and Dynamic Temporal Pooling networks for Human-Object Interaction detection Hongsheng Li Guangming Zhu Wu Zhen Lan Ni Peiyi Shen Liang Zhang Ning Wang Cong Hua 25 3 0 07 Jun 2022
Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens Stefano Teso Laurens Bliek Andrea Borghesi M. Lombardi Neil Yorke-Smith Tias Guns Andrea Passerini 18 2 0 20 May 2022
SOInter: A Novel Deep Energy Based Interpretation Method for Explaining Structured Output Models S. F. Seyyedsalehi Mahdieh Soleymani Hamid R. Rabiee 18 0 0 20 Feb 2022
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters Luc Brogat-Motte Rémi Flamary Céline Brouard Juho Rousu Florence dÁlché-Buc 33 19 0 08 Feb 2022
LEO: Learning Energy-based Models in Factor Graph Optimization Paloma Sodhi Eric Dexheimer Mustafa Mukadam Stuart Anderson Michael Kaess 40 16 0 04 Aug 2021
Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention M. Sagong Yoon-Jae Yeo Seung‐Won Jung Sung-Jea Ko 21 2 0 28 Jul 2021
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach Ahmed Abbas Paul Swoboda 27 14 0 06 Jun 2021
Structured Convolutional Kernel Networks for Airline Crew Scheduling Yassine Yaakoubi F. Soumis Simon Lacoste-Julien AI4TS 26 10 0 25 May 2021
Neural Weighted A: Learning Graph Costs and Heuristics with Differentiable Anytime A Alberto Archetti Marco Cannici Matteo Matteucci 17 4 0 04 May 2021
An MRF-UNet Product of Experts for Image Segmentation Mikael Brudfors Yael Balbastre John Ashburner G. Rees P. Nachev Sébastien Ourselin M. Jorge Cardoso 13 3 0 12 Apr 2021
Multi-Label Classification Neural Networks with Hard Logical Constraints Eleonora Giunchiglia Thomas Lukasiewicz AILaw 38 43 0 24 Mar 2021
Deep Structured Reactive Planning Jerry Liu Wenyuan Zeng R. Urtasun Ersin Yumer 74 30 0 18 Jan 2021
Affinity LCFCN: Learning to Segment Fish with Weak Supervision I. Laradji Alzayat Saleh Pau Rodríguez López Derek Nowrouzezahrai M. R. Azghadi David Vazquez 14 11 0 06 Nov 2020
Neuralizing Efficient Higher-order Belief Propagation Mohammed Haroon Dupty W. Lee 29 7 0 19 Oct 2020
Do End-to-end Stereo Algorithms Under-utilize Information? Changjiang Cai Philippos Mordohai 3DV 14 3 0 14 Oct 2020
DSDNet: Deep Structured self-Driving Network Wenyuan Zeng Shenlong Wang Renjie Liao Yun Chen Binh Yang R. Urtasun 29 97 0 13 Aug 2020
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models Adarsh K. Jeewajee L. Kaelbling BDL 12 1 0 09 Jul 2020
Learning Convex Optimization Models Akshay Agrawal Shane T. Barratt Stephen P. Boyd 29 40 0 07 Jun 2020
Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning? Safa Messaoud Maghav Kumar A. Schwing 25 5 0 27 Apr 2020
MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models Siddharth Tourani Alexander Shekhovtsov Carsten Rother Bogdan Savchynskyy 19 21 0 16 Apr 2020
Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization Siddharth Tourani Alexander Shekhovtsov Carsten Rother Bogdan Savchynskyy 32 12 0 16 Apr 2020
Improving Certified Robustness via Statistical Learning with Logical Reasoning Zhuolin Yang Zhikuan Zhao Wei Ping Jiawei Zhang Linyi Li ... Bojan Karlas Ji Liu Heng Guo Ce Zhang Bo-wen Li AAML 24 13 0 28 Feb 2020
Relational Neural Machines G. Marra Michelangelo Diligenti Francesco Giannini Marco Gori Marco Maggini NAI BDL 25 38 0 06 Feb 2020
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction Vlad Niculae André F. T. Martins TPM 8 19 0 13 Jan 2020
End-to-end Training of CNN-CRF via Differentiable Dual-Decomposition Shaofei Wang Vishnu Suresh Lokhande M. Singh Konrad Paul Kording Julian Yarkony 4 1 0 06 Dec 2019
Discriminative training of conditional random fields with probably submodular constraints Maxim Berman Matthew B. Blaschko 14 0 0 25 Nov 2019
Orderless Recurrent Models for Multi-label Classification V. O. Yazici Abel Gonzalez-Garcia Arnau Ramisa Bartlomiej Twardowski Joost van de Weijer SSL 19 92 0 22 Nov 2019
Graph Structured Prediction Energy Networks Colin Graber A. Schwing 13 17 0 31 Oct 2019
Learning Propagation for Arbitrarily-structured Data Sifei Liu Xueting Li Varun Jampani Shalini De Mello Jan Kautz GNN 37 0 0 25 Sep 2019
Adaptive Graphical Model Network for 2D Handpose Estimation Deying Kong Yifei Chen Haoyu Ma Xiangyi Yan Xiaohui Xie 3DH 16 26 0 18 Sep 2019
Structured Output Learning with Conditional Generative Flows You Lu Bert Huang BDL DRL 21 72 0 30 May 2019
Strategic Prediction with Latent Aggregative Games Vikas K. Garg Tommi Jaakkola 16 0 0 29 May 2019
End-to-End Learned Random Walker for Seeded Image Segmentation Lorenzo Cerrone Alexander Zeilmann Fred Hamprecht 12 20 0 22 May 2019
Simulating CRF with CNN for CNN Lena Gorelick O. Veksler 11 0 0 06 May 2019
Pixel-Adaptive Convolutional Neural Networks Hang Su Varun Jampani Deqing Sun Orazio Gallo Erik Learned-Miller Jan Kautz 26 283 0 10 Apr 2019
Static Visual Spatial Priors for DoA Estimation P. Swietojanski O. Mikšík 9 1 0 30 Mar 2019
Scaling Matters in Deep Structured-Prediction Models Aleksandr Shevchenko A. Osokin 11 1 0 28 Feb 2019
Integrating Learning and Reasoning with Deep Logic Models G. Marra Francesco Giannini Michelangelo Diligenti Marco Gori NAI 32 56 0 14 Jan 2019
End-to-end Learning for Graph Decomposition Mingli Song Bjoern Andres Michael J. Black Otmar Hilliges Siyu Tang 19 16 0 23 Dec 2018
Deep Structured Prediction with Nonlinear Output Transformations Colin Graber Ofer Meshi A. Schwing BDL 16 25 0 01 Nov 2018
Learning with Interpretable Structure from Gated RNN Bo-Jian Hou Zhi-Hua Zhou AI4CE 21 69 0 25 Oct 2018