Deep Set Prediction Networks

15 June 2019

Papers citing "Deep Set Prediction Networks"

24 / 74 papers shown

Title
USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization Problems G. Tong 29 5 0 15 Jul 2021
Pruning Edges and Gradients to Learn Hypergraphs from Larger Sets David W. Zhang Gertjan J. Burghouts Cees G. M. Snoek 32 4 0 26 Jun 2021
Tackling the Challenges in Scene Graph Generation with Local-to-Global Interactions Sangmin Woo Junhyug Noh Kangil Kim 22 15 0 16 Jun 2021
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning Swarnadeep Saha Prateek Yadav Mohit Bansal ReLM LRM 16 26 0 02 Jun 2021
The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider T. Aarrestad M. Beekveld M. Bona A. Boveia S. Caron ... M. White E. Wulff E. Wallin K. Wozniak Z. Zhang 16 80 0 28 May 2021
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement Martin Engelcke Oiwi Parker Jones Ingmar Posner OCL 29 115 0 20 Apr 2021
Multimodal Fusion Refiner Networks Sethuraman Sankaran David Yang Ser-Nam Lim OffRL 21 8 0 08 Apr 2021
SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data Jinwoo Kim Jaehoon Yoo Juho Lee Seunghoon Hong BDL DRL 3DPC 22 79 0 29 Mar 2021
Set-to-Sequence Methods in Machine Learning: a Review Mateusz Jurewicz Leon Derczynski BDL 20 9 0 17 Mar 2021
Unknown Object Segmentation from Stereo Images M. Durner W. Boerdijk M. Sundermeyer W. Friedl Zoltán-Csaba Márton Rudolph Triebel 26 34 0 11 Mar 2021
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations Wolfgang Stammer P. Schramowski Kristian Kersting FAtt 14 106 0 25 Nov 2020
ÚFAL at MRP 2020: Permutation-invariant Semantic Parsing in PERIN David Samuel Milan Straka LRM 16 31 0 02 Nov 2020
Hierarchical Poset Decoding for Compositional Generalization in Language Yinuo Guo Zeqi Lin Jian-Guang Lou Dongmei Zhang AI4CE 61 31 0 15 Oct 2020
Set Prediction without Imposing Structure as Conditional Density Estimation David W. Zhang Gertjan J. Burghouts Cees G. M. Snoek 37 17 0 08 Oct 2020
StratLearner: Learning a Strategy for Misinformation Prevention in Social Networks G. Tong 14 10 0 29 Sep 2020
Conditional Set Generation with Transformers Adam R. Kosiorek Hyunjik Kim Danilo Jimenez Rezende 11 40 0 26 Jun 2020
Object-Centric Learning with Slot Attention Francesco Locatello Dirk Weissenborn Thomas Unterthiner Aravindh Mahendran G. Heigold Jakob Uszkoreit Alexey Dosovitskiy Thomas Kipf OCL 21 817 0 26 Jun 2020
Better Set Representations For Relational Reasoning Qian Huang Horace He Ashutosh Kumar Singh Yan Zhang Ser-Nam Lim Austin R. Benson NAI OCL GNN 21 1 0 09 Mar 2020
Learn to Predict Sets Using Feed-Forward Neural Networks H. Rezatofighi Tianyu Zhu Roman Kaskman F. Motlagh Javen Qinfeng Shi Anton Milan Daniel Cremers Laura Leal-Taixé Ian Reid SSL 46 15 0 30 Jan 2020
Learning Permutation Invariant Representations using Memory Networks Shivam Kalra Mohammed Adnan Graham W. Taylor Hamid Tizhoosh 6 23 0 18 Nov 2019
Entity Abstraction in Visual Model-Based Reinforcement Learning Rishi Veerapaneni John D. Co-Reyes Michael Chang Michael Janner Chelsea Finn Jiajun Wu J. Tenenbaum Sergey Levine OCL OffRL 24 188 0 28 Oct 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 11 54 0 27 Sep 2019
Learning to Manipulate Object Collections Using Grounded State Representations Matthew Wilson Tucker Hermans SSL 8 26 0 17 Sep 2019
FSPool: Learning Set Representations with Featurewise Sort Pooling Yan Zhang Jonathon S. Hare Adam Prugel-Bennett 14 75 0 06 Jun 2019