Structured Prediction Energy Networks

19 November 2015

Papers citing "Structured Prediction Energy Networks"

44 / 44 papers shown

Title
Incorporating Inductive Biases to Energy-based Generative Models Yukun Li Li-Ping Liu 52 0 0 02 May 2025
Introducing Verification Task of Set Consistency with Set-Consistency Energy Networks Mooho Song Hyeryung Son Jay-Yoon Lee 47 0 0 12 Mar 2025
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations Xin-Chao Xu Yi Qin Lu Mi Hao Wang X. Li 74 9 0 03 Jan 2025
PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification Miaoge Li Dongsheng Wang Xinyang Liu Zequn Zeng Ruiying Lu Bo Chen Mingyuan Zhou VLM OT 22 15 0 18 Jul 2023
Interval Type-2 Fuzzy Neural Networks for Multi-Label Classification Dayong Tian Fei Li Yiwen Wei 37 0 0 21 Feb 2023
Vector-Valued Least-Squares Regression under Output Regularity Assumptions Luc Brogat-Motte Alessandro Rudi Céline Brouard Juho Rousu Florence dÁlché-Buc 18 6 0 16 Nov 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 24 76 0 19 Jul 2022
On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting Tomasz Korbak Hady ElSahar Germán Kruszewski Marc Dymetman CLL 17 50 0 01 Jun 2022
Energy-based Latent Aligner for Incremental Learning K. J. Joseph Salman Khan F. Khan Rao Muhammad Anwer V. Balasubramanian CLL 33 46 0 28 Mar 2022
Structured Multi-task Learning for Molecular Property Prediction Shengchao Liu Meng Qu Zuobai Zhang Huiyu Cai Jian Tang 15 24 0 22 Feb 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
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification Junwen Bai Shufeng Kong Carla P. Gomes SSL DRL 24 36 0 02 Dec 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 37 16 0 04 Aug 2021
SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues Liang Qiu Yuan Liang Yizhou Zhao Pan Lu Baolin Peng Zhou Yu Ying Nian Wu Song-Chun Zhu 34 17 0 02 Jun 2021
Deep Structured Reactive Planning Jerry Liu Wenyuan Zeng R. Urtasun Ersin Yumer 72 30 0 18 Jan 2021
Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach Maosen Zhang Nan Jiang Lei Li Yexiang Xue 19 4 0 24 Nov 2020
Energy-Based Models for Continual Learning Shuang Li Yilun Du Gido M. van de Ven Igor Mordatch 24 42 0 24 Nov 2020
Set Prediction without Imposing Structure as Conditional Density Estimation David W. Zhang Gertjan J. Burghouts Cees G. M. Snoek 48 17 0 08 Oct 2020
Hierarchical Protein Function Prediction with Tail-GNNs Stefan Spalević Petar Velivcković Jovana Kovavcević Mladen Nikolic AI4CE 15 5 0 24 Jul 2020
Physarum Powered Differentiable Linear Programming Layers and Applications Zihang Meng Sathya Ravi Vikas Singh 19 5 0 30 Apr 2020
Effective Decoding in Graph Auto-Encoder using Triadic Closure Han Shi Haozheng Fan James T. Kwok AI4CE 14 39 0 26 Nov 2019
Graph Structured Prediction Energy Networks Colin Graber A. Schwing 11 17 0 31 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 21 54 0 27 Sep 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 18 72 0 30 May 2019
Least Squares Auto-Tuning Shane T. Barratt Stephen P. Boyd MoMe 19 23 0 10 Apr 2019
Benchmarking Approximate Inference Methods for Neural Structured Prediction Lifu Tu Kevin Gimpel BDL 33 17 0 01 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 18 22 0 06 Feb 2019
From Pixels to Buildings: End-to-end Probabilistic Deep Networks for Large-scale Semantic Mapping Kaiyu Zheng Andrzej Pronobis 3DPC 14 18 0 31 Dec 2018
GILE: A Generalized Input-Label Embedding for Text Classification Nikolaos Pappas James Henderson AI4TS AILaw VLM 25 79 0 16 Jun 2018
Predict and Constrain: Modeling Cardinality in Deep Structured Prediction Nataly Brukhim Amir Globerson 21 9 0 13 Feb 2018
Contextual Explanation Networks Maruan Al-Shedivat Kumar Avinava Dubey Eric P. Xing CML 32 82 0 29 May 2017
Regularizing Model Complexity and Label Structure for Multi-Label Text Classification Bingyu Wang Cheng Li Virgil Pavlu J. Aslam 17 6 0 01 May 2017
Detecting Visual Relationships with Deep Relational Networks Bo Dai Yuqi Zhang Dahua Lin GNN 39 499 0 11 Apr 2017
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition Tianmin Shu S. Todorovic Song-Chun Zhu 17 149 0 10 Apr 2017
End-to-End Learning for Structured Prediction Energy Networks David Belanger Bishan Yang Andrew McCallum 6 136 0 16 Mar 2017
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs Michael Gygli Mohammad Norouzi A. Angelova TDI 16 68 0 13 Mar 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks Brandon Amos J. Zico Kolter 19 941 0 01 Mar 2017
Unrolled Generative Adversarial Networks Luke Metz Ben Poole David Pfau Jascha Narain Sohl-Dickstein GAN 32 1,001 0 07 Nov 2016
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 178 598 0 22 Sep 2016
Column Networks for Collective Classification Trang Pham T. Tran Dinh Q. Phung Svetha Venkatesh GNN 17 146 0 15 Sep 2016