End-to-End Learning for Structured Prediction Energy Networks

16 March 2017

Papers citing "End-to-End Learning for Structured Prediction Energy Networks"

38 / 38 papers shown

Title
Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning Charles Dickens Changyu Gao Connor Pryor Stephen J. Wright Lise Getoor 40 3 0 17 Jan 2024
Energy-based Potential Games for Joint Motion Forecasting and Control Christopher P. Diehl Tobias Klosek Martin Krüger Nils Murzyn Timo Osterburg Torsten Bertram AI4CE 29 6 0 04 Dec 2023
Interval Type-2 Fuzzy Neural Networks for Multi-Label Classification Dayong Tian Fei Li Yiwen Wei 40 0 0 21 Feb 2023
Composing Ensembles of Pre-trained Models via Iterative Consensus Shuang Li Yilun Du J. Tenenbaum Antonio Torralba Igor Mordatch MoMe 19 23 0 20 Oct 2022
Theseus: A Library for Differentiable Nonlinear Optimization Luis Pineda Taosha Fan Maurizio Monge S. Venkataraman Paloma Sodhi ... Austin S. Wang Stuart Anderson Jing Dong Brandon Amos Mustafa Mukadam 29 76 0 19 Jul 2022
Energy networks for state estimation with random sensors using sparse labels Y. Kumar S. Chakraborty 24 0 0 12 Mar 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
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
Efficient differentiable quadratic programming layers: an ADMM approach A. Butler R. Kwon 32 18 0 14 Dec 2021
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation Yan Zhang David W. Zhang Simon Lacoste-Julien Gertjan J. Burghouts Cees G. M. Snoek BDL 37 21 0 23 Nov 2021
Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP Lifu Tu BDL 35 0 0 27 Aug 2021
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
Directly Training Joint Energy-Based Models for Conditional Synthesis and Calibrated Prediction of Multi-Attribute Data Jacob Kelly R. Zemel Will Grathwohl 39 2 0 19 Jul 2021
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations Peter Hase Harry Xie Joey Tianyi Zhou OODD LRM FAtt 18 91 0 01 Jun 2021
DeepCPCFG: Deep Learning and Context Free Grammars for End-to-End Information Extraction Freddy Chongtat Chua Nigel P. Duffy 45 7 0 10 Mar 2021
Deep Structured Reactive Planning Jerry Liu Wenyuan Zeng R. Urtasun Ersin Yumer 74 30 0 18 Jan 2021
Set Prediction without Imposing Structure as Conditional Density Estimation David W. Zhang Gertjan J. Burghouts Cees G. M. Snoek 51 17 0 08 Oct 2020
Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge into Deep Neural Networks Karan Sikka Andrew Silberfarb John Byrnes Indranil Sur Edmond Chow Ajay Divakaran R. Rohwer NAI 13 11 0 16 Mar 2020
RNA Secondary Structure Prediction By Learning Unrolled Algorithms Xinshi Chen Yu Li Ramzan Umarov Xin Gao Le Song SyDa AI4TS 13 118 0 13 Feb 2020
Graph Structured Prediction Energy Networks Colin Graber A. Schwing 11 17 0 31 Oct 2019
Differentiable Convex Optimization Layers Akshay Agrawal Brandon Amos Shane T. Barratt Stephen P. Boyd Steven Diamond Zico Kolter 36 638 0 28 Oct 2019
Structured Prediction with Projection Oracles Mathieu Blondel 16 32 0 24 Oct 2019
Meta-Learning Deep Energy-Based Memory Models Sergey Bartunov Jack W. Rae Simon Osindero Timothy Lillicrap 32 34 0 07 Oct 2019
GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks Tengfei Ma Junyuan Shang Cao Xiao Jimeng Sun GNN 19 13 0 04 Oct 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 29 54 0 27 Sep 2019
Dynamic Scale Inference by Entropy Minimization Dequan Wang Evan Shelhamer Bruno A. Olshausen Trevor Darrell 27 7 0 08 Aug 2019
Deep Set Prediction Networks Yan Zhang Jonathon S. Hare Adam Prugel-Bennett 17 107 0 15 Jun 2019
Structured Output Learning with Conditional Generative Flows You Lu Bert Huang BDL DRL 21 72 0 30 May 2019
Least Squares Auto-Tuning Shane T. Barratt Stephen P. Boyd MoMe 19 23 0 10 Apr 2019
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling Hao Wang Chengzhi Mao Hao He Mingmin Zhao Tommi Jaakkola Dina Katabi BDL 24 22 0 06 Feb 2019
Search-Guided, Lightly-supervised Training of Structured Prediction Energy Networks Pedram Rooshenas Dongxu Zhang Gopal Sharma Andrew McCallum 19 10 0 22 Dec 2018
Concept Learning with Energy-Based Models William J. Wilkinson 27 25 0 06 Nov 2018
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction Roei Herzig Moshiko Raboh Gal Chechik Jonathan Berant Amir Globerson GNN OCL 26 133 0 15 Feb 2018
Predict and Constrain: Modeling Cardinality in Deep Structured Prediction Nataly Brukhim Amir Globerson 29 9 0 13 Feb 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 30 243 0 07 Feb 2018
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs Michael Gygli Mohammad Norouzi A. Angelova TDI 24 68 0 13 Mar 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks Brandon Amos J. Zico Kolter 19 943 0 01 Mar 2017
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 187 599 0 22 Sep 2016