mlsanityData to 7 Oct 2026

Deep Set Prediction Networks

arXiv 1906.06565 ↗First posted 15 Jun 2019cs.LG stat.MLcited by 71

Not on the map. Why?

Abstract (arXiv)

Current approaches for predicting sets from feature vectors ignore the unordered nature of sets and suffer from discontinuity issues as a result. We propose a general model for predicting sets that properly respects the structure of sets and avoids this problem. With a single feature vector as input, we show that our model is able to auto-encode point sets, predict the set of bounding boxes of objects in an image, and predict the set of attributes of these objects.

Key facts. Cited by 71 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Jun 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 20; 2022: 16; 2023: 13; 2024: 9; 2025: 8; 2026: 5.

71 papers.

Sort:

By area:

  1. 2021GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinementcited by 109
  2. 2021SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Datacited by 78
  3. 2021Visual Representation Learning Does Not Generalize Strongly Within the Same Domaincited by 60
  4. 2022Improving Object-centric Learning with Query Optimizationcited by 60
  5. 2021Learning Disentangled Representations in the Imaging Domaincited by 46
  6. 2022Low Dimensional Invariant Embeddings for Universal Geometric Learningcited by 38
  7. 2021Top-N: Equivariant set and graph generation without exchangeabilitycited by 36
  8. 2023Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theoremcited by 33
  9. 2022Learning to Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learningcited by 30
  10. 2021The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collidercited by 28
  11. 2023From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communicationcited by 20
  12. 2021Learning Efficient Multi-Agent Cooperative Visual Explorationcited by 19
38 more
  1. 2021Multiset-Equivariant Set Prediction with Approximate Implicit Differentiationcited by 17
  2. 2022Boosting Object Representation Learning via Motion and Object Continuitycited by 17
  3. 2023Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Explorationcited by 17
  4. 2021Unknown Object Segmentation from Stereo Imagescited by 16
  5. 2023Unlocking Slot Attention by Changing Optimal Transport Costscited by 16
  6. 2023Prefix-Tree Decoding for Predicting Mass Spectra from Moleculescited by 16
  7. 2021multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoningcited by 15
  8. 2022A Survey on Influence Maximization: From an ML-Based Combinatorial Optimizationcited by 15
  9. 2023Object-Centric Learning with Slot Mixture Modulecited by 11
  10. 2024PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesiscited by 10
  11. 2024On permutation-invariant neural networkscited by 10
  12. 2021Multimodal Fusion Refiner Networkscited by 8
  13. 2021SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programmingcited by 8
  14. 2024Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraintscited by 8
  15. 2022Conditional set generation using Seq2seq modelscited by 7
  16. 2022Robust and Controllable Object-Centric Learning through Energy-based Modelscited by 7
  17. 2023Let There Be Order: Rethinking Ordering in Autoregressive Graph Generationcited by 7
  18. 2023SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detectioncited by 7
  19. 2021Set-to-Sequence Methods in Machine Learning: a Reviewcited by 6
  20. 2022Conditional Permutation Invariant Flowscited by 6
  21. 2022Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selectioncited by 6
  22. 2023Polynomial Width is Sufficient for Set Representation with High-dimensional Featurescited by 6
  23. 2025Audio synthesizer inversion in symmetric parameter spaces with approximately equivariant flow matchingcited by 6
  24. 2021Tackling the Challenges in Scene Graph Generation with Local-to-Global Interactionscited by 5
  25. 2021USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization Problemscited by 5
  26. 2024A Unified Framework for Human-Allied Learning of Probabilistic Circuitscited by 5
  27. 2022Learning Proximal Operators to Discover Multiple Optimacited by 4
  28. 2023Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learningcited by 4
  29. 2023AudioSlots: A slot-centric generative model for audio separationcited by 4
  30. 2024SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Visioncited by 4
  31. 2021PICASO: Permutation-Invariant Cascaded Attentional Set Operatorcited by 3
  32. 2021A deep learning guided memetic framework for graph coloring problemscited by 3
  33. 2022Object Detection as Probabilistic Set Predictioncited by 3
  34. 2024A Review on Fragment-based De Novo 2D Molecule Generationcited by 3
  35. 2025Advances in Set Function Learning: A Survey of Techniques and Applicationscited by 3
  36. 2021Pruning Edges and Gradients to Learn Hypergraphs from Larger Setscited by 2
  37. 2021SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shiftscited by 2
  38. 2022Search for Concepts: Discovering Visual Concepts Using Direct Optimizationcited by 2

50 most cited of 71 All 71 (JSON)