Deep Set Prediction Networks

15 June 2019

Papers citing "Deep Set Prediction Networks"

50 / 74 papers shown

Title
Tokenize Image as a Set Zigang Geng Mengde Xu Han Hu Shuyang Gu DiffM 48 0 0 20 Mar 2025
Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraints Jay Bear Adam Prugel-Bennett Jonathon S. Hare 21 1 0 30 Oct 2024
OpenSlot: Mixed Open-Set Recognition with Object-Centric Learning Xu Yin Fei Pan G. An Yuchi Huo Zixuan Xie Sung-eui Yoon BDL VLM 63 1 0 02 Jul 2024
Non-autoregressive Personalized Bundle Generation Wenchuan Yang Cheng Yang Jichao Li Yuejin Tan Xin Lu Chuan Shi 26 0 0 11 Jun 2024
A Review on Fragment-based De Novo 2D Molecule Generation Sergei Voloboev VLM 29 1 0 08 May 2024
A Unified Framework for Human-Allied Learning of Probabilistic Circuits Athresh Karanam Saurabh Mathur Sahil Sidheekh S. Natarajan TPM 24 1 0 03 May 2024
SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision Ankit Vani Bac Nguyen Samuel Lavoie Ranjay Krishna Aaron Courville 31 1 0 24 Apr 2024
On permutation-invariant neural networks Masanari Kimura Ryotaro Shimizu Yuki Hirakawa Ryosuke Goto Yuki Saito OOD AAML 33 12 0 26 Mar 2024
Deep Submodular Peripteral Networks Gantavya Bhatt Arnav M. Das Jeff Bilmes 36 1 0 13 Mar 2024
PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis Jason J. Yu Tristan Aumentado-Armstrong Fereshteh Forghani Konstantinos G. Derpanis Marcus A. Brubaker 28 5 0 28 Feb 2024
Object-Centric Learning with Slot Mixture Module Daniil E. Kirilenko Vitaliy Vorobyov A. Kovalev Aleksandr I. Panov OCL 31 3 0 08 Nov 2023
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection Zhihao Ding Jieming Shi Shiqi Shen Xuequn Shang Jiannong Cao Zhipeng Wang Zhi Gong OODD OOD 32 4 0 16 Oct 2023
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication Irene Cannistraci Luca Moschella Marco Fumero Valentino Maiorca Emanuele Rodolà 41 12 0 02 Oct 2023
Polynomial Width is Sufficient for Set Representation with High-dimensional Features Peihao Wang Shenghao Yang Shu Li Zhangyang Wang Pan Li 16 3 0 08 Jul 2023
Singing Voice Synthesis Using Differentiable LPC and Glottal-Flow-Inspired Wavetables Chin-Yun Yu Gyorgy Fazekas 25 7 0 29 Jun 2023
Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem Tal Amir S. Gortler Ilai Avni Ravi Ravina Nadav Dym 94 23 0 10 Jun 2023
Let There Be Order: Rethinking Ordering in Autoregressive Graph Generation Jie Bu Kazi Sajeed Mehrab Anuj Karpatne 21 3 0 24 May 2023
AudioSlots: A slot-centric generative model for audio separation P. Reddy Scott Wisdom Klaus Greff J. Hershey Thomas Kipf OCL VLM 20 6 0 09 May 2023
DPPD: Deformable Polar Polygon Object Detection Yangtao Zheng Oles Andrienko Yonglei Zhao Min-Gyu Park Trung T. Pham ObjD 19 3 0 05 Apr 2023
Prefix-Tree Decoding for Predicting Mass Spectra from Molecules Samuel Goldman John Bradshaw Jiayi Xin Connor W. Coley 27 13 0 11 Mar 2023
Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning Ryan Kortvelesy Steven D. Morad Amanda Prorok AI4CE 19 2 0 24 Feb 2023
Interval Type-2 Fuzzy Neural Networks for Multi-Label Classification Dayong Tian Fei Li Yiwen Wei 25 0 0 21 Feb 2023
Unlocking Slot Attention by Changing Optimal Transport Costs Yan Zhang David W. Zhang Simon Lacoste-Julien Gertjan J. Burghouts Cees G. M. Snoek OCL 29 11 0 30 Jan 2023
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration Chao Yu Xinyi Yang Jiaxuan Gao Jiayu Chen Yunfei Li ... Yunfei Xiang Rui Huang Huazhong Yang Yi Wu Yu Wang 20 33 0 09 Jan 2023
Deep set conditioned latent representations for action recognition Akash Singh Tom De Schepper Kevin Mets P. Hellinckx José Oramas Steven Latré BDL 6 2 0 21 Dec 2022
Boosting Object Representation Learning via Motion and Object Continuity Quentin Delfosse Wolfgang Stammer Thomas Rothenbacher Dwarak Vittal Kristian Kersting OCL 27 20 0 16 Nov 2022
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization Yandi Li Haobo Gao Yunxuan Gao Jianxiong Guo Weili Wu 19 38 0 06 Nov 2022
Search for Concepts: Discovering Visual Concepts Using Direct Optimization P. Reddy Paul Guerrero Niloy J. Mitra OCL 19 4 0 25 Oct 2022
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection A. De Soumen Chakrabarti 16 4 0 20 Oct 2022
Learning to Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning Ruihan Wu Xiangyu Chen Chuan Guo Kilian Q. Weinberger FedML 12 26 0 19 Oct 2022
Improving Object-centric Learning with Query Optimization Baoxiong Jia Yu Liu Siyuan Huang OCL 19 49 0 17 Oct 2022
Robust and Controllable Object-Centric Learning through Energy-based Models Ruixiang Zhang Tong Che B. Ivanovic Renhao Wang Marco Pavone Yoshua Bengio Liam Paull OCL 24 8 0 11 Oct 2022
Social-Inverse: Inverse Decision-making of Social Contagion Management with Task Migrations G. Tong 14 2 0 21 Sep 2022
Deep Set Classifier for Financial Forensics: An application to detect money laundering Jonathan Pan 14 3 0 16 Jul 2022
Conditional Permutation Invariant Flows Berend Zwartsenberg Adam Scibior Matthew Niedoba Vasileios Lioutas Yunpeng Liu Justice Sefas Setareh Dabiri J. Lavington Trevor Campbell Frank D. Wood 9 8 0 17 Jun 2022
Learning Robust Representations Of Generative Models Using Set-Based Artificial Fingerprints Hae Jin Song Wael AbdAlmageed OOD 17 0 0 04 Jun 2022
Conditional set generation using Seq2seq models Aman Madaan Dheeraj Rajagopal Niket Tandon Yiming Yang Antoine Bosselut 27 10 0 25 May 2022
Low Dimensional Invariant Embeddings for Universal Geometric Learning Nadav Dym S. Gortler 21 39 0 05 May 2022
Object Detection as Probabilistic Set Prediction Georg Hess Christoffer Petersson Lennart Svensson 19 5 0 15 Mar 2022
GausSetExpander: A Simple Approach for Entity Set Expansion Aissatou Diallo Johannes Furnkranz 14 0 0 28 Feb 2022
Learning Proximal Operators to Discover Multiple Optima Lingxiao Li Noam Aigerman Vladimir G. Kim Jiajin Li Kristjan Greenewald Mikhail Yurochkin Justin Solomon 42 1 0 28 Jan 2022
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation Yan Zhang David W. Zhang Simon Lacoste-Julien Gertjan J. Burghouts Cees G. M. Snoek BDL 33 21 0 23 Nov 2021
Learning Efficient Multi-Agent Cooperative Visual Exploration Chao Yu Xinyi Yang Jiaxuan Gao Huazhong Yang Yu Wang Yi Wu 8 28 0 12 Oct 2021
SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programming Arseny Skryagin Wolfgang Stammer Daniel Ochs D. Dhami Kristian Kersting NAI 17 6 0 07 Oct 2021
Top-N: Equivariant set and graph generation without exchangeability Clément Vignac P. Frossard BDL 63 34 0 05 Oct 2021
A deep learning guided memetic framework for graph coloring problems Olivier Goudet Cyril Grelier Jin‐Kao Hao GNN 14 23 0 13 Sep 2021
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts Masanari Kimura Takuma Nakamura Yuki Saito OOD 31 3 0 30 Aug 2021
Investigating transformers in the decomposition of polygonal shapes as point collections A. Alfieri Yancong Lin J. C. V. Gemert ViT 3DPC 8 2 0 17 Aug 2021
PICASO: Permutation-Invariant Cascaded Attentional Set Operator Samira Zare H. Nguyen 6 5 0 17 Jul 2021
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain Lukas Schott Julius von Kügelgen Frederik Trauble Peter V. Gehler Chris Russell Matthias Bethge Bernhard Schölkopf Francesco Locatello Wieland Brendel OOD DRL 27 66 0 17 Jul 2021