Learning Latent Permutations with Gumbel-Sinkhorn Networks

23 February 2018

Papers citing "Learning Latent Permutations with Gumbel-Sinkhorn Networks"

50 / 56 papers shown

Title
Differentiable Adversarial Attacks for Marked Temporal Point Processes Pritish Chakraborty Vinayak Gupta R. Raj Srikanta J. Bedathur A. De AAML 236 0 0 17 Jan 2025
Wolf2Pack: The AutoFusion Framework for Dynamic Parameter Fusion Bowen Tian Songning Lai Yutao Yue MoMe 30 0 0 08 Oct 2024
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups Yongxing Zhang Donglin Yang Renjie Liao DiffM 197 0 0 03 Oct 2024
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks Runzhong Wang Yang Li Junchi Yan Xiaokang Yang AI4CE 44 0 0 06 Sep 2024
GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and Decoding Konstantin Yakovlev Alexander Podolskiy A. Bout Sergey I. Nikolenko Irina Piontkovskaya 33 4 0 14 Nov 2023
Sinkhorn Transformations for Single-Query Postprocessing in Text-Video Retrieval Konstantin Yakovlev Gregory Polyakov I. Alimova Alexander Podolskiy A. Bout Sergey I. Nikolenko Irina Piontkovskaya CLIP 22 1 0 14 Nov 2023
Non-autoregressive Streaming Transformer for Simultaneous Translation Zhengrui Ma Shaolei Zhang Shoutao Guo Chenze Shao Min Zhang Yang Feng 32 13 0 23 Oct 2023
Equivariant Deep Weight Space Alignment Aviv Navon Aviv Shamsian Ethan Fetaya Gal Chechik Nadav Dym Haggai Maron 33 21 0 20 Oct 2023
Order-based Structure Learning with Normalizing Flows Hamidreza Kamkari Vahid Balazadeh Meresht Vahid Zehtab Rahul G. Krishnan CML 35 1 0 14 Aug 2023
SynJax: Structured Probability Distributions for JAX Miloš Stanojević Laurent Sartran SyDa 13 4 0 07 Aug 2023
Discovering Spatio-Temporal Rationales for Video Question Answering Yicong Li Junbin Xiao Chun Feng Xiang Wang Tat-Seng Chua 30 13 0 22 Jul 2023
Differentiable Random Partition Models Thomas M. Sutter Alain Ryser Joram Liebeskind Julia E. Vogt 42 3 0 26 May 2023
DAG Learning on the Permutahedron Valentina Zantedeschi Luca Franceschi Jean Kaddour Matt J. Kusner Vlad Niculae 27 11 0 27 Jan 2023
Regularized Optimal Transport Layers for Generalized Global Pooling Operations Hongteng Xu Minjie Cheng 36 4 0 13 Dec 2022
How to Backpropagate through Hungarian in Your DETR? Lingjiao Chen Alok Sharma Chinmay Shirore Chengjie Zhang Balarama Raju Buddharaju 42 1 0 12 Nov 2022
Equivariance with Learned Canonicalization Functions Sekouba Kaba Arnab Kumar Mondal Yan Zhang Yoshua Bengio Siamak Ravanbakhsh 44 62 0 11 Nov 2022
Searching Dense Point Correspondences via Permutation Matrix Learning Zhiyuan Zhang Jiadai Sun Yuchao Dai Bin Fan Qi Liu 3DPC 29 2 0 26 Oct 2022
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection A. De Soumen Chakrabarti 24 4 0 20 Oct 2022
Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks Indradyumna Roy Soumen Chakrabarti A. De GNN 30 4 0 20 Oct 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 255 316 0 11 Sep 2022
Unsupervised Deep Multi-Shape Matching Dongliang Cao Florian Bernard 3DPC 3DV 29 30 0 20 Jul 2022
Neural Topological Ordering for Computation Graphs Mukul Gagrani Corrado Rainone Yang Yang Harris Teague Wonseok Jeon H. V. Hoof Weizhen Zeng P. Zappi Chris Lott Roberto Bondesan 40 12 0 13 Jul 2022
Towards Improving the Generation Quality of Autoregressive Slot VAEs Patrick Emami Pan He Sanjay Ranka Anand Rangarajan OCL 38 1 0 03 Jun 2022
Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies Alon Berliner Guy Rotman Yossi Adi Roi Reichart Tamir Hazan BDL DRL 24 4 0 03 May 2022
Interventions, Where and How? Experimental Design for Causal Models at Scale P. Tigas Yashas Annadani Andrew Jesson Bernhard Schölkopf Y. Gal Stefan Bauer CML 36 48 0 03 Mar 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
Self-Supervised Modality-Aware Multiple Granularity Pre-Training for RGB-Infrared Person Re-Identification Lin Wan Qianyan Jing Zongyuan Sun Chuan Zhang Zhihang Li Yehansen Chen SSL 17 5 0 12 Dec 2021
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery Chris Cundy Aditya Grover Stefano Ermon CML 40 72 0 06 Dec 2021
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces Kirill Struminsky Artyom Gadetsky D. Rakitin Danil Karpushkin Dmitry Vetrov BDL 27 9 0 28 Oct 2021
Foresight of Graph Reinforcement Learning Latent Permutations Learnt by Gumbel Sinkhorn Network Tianqi Shen Hong Zhang Ding Yuan Jiaping Xiao Yifan Yang AI4CE 33 1 0 23 Oct 2021
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning Iris A. M. Huijben W. Kool Max B. Paulus Ruud J. G. van Sloun 28 94 0 04 Oct 2021
Self-supervised learning methods and applications in medical imaging analysis: A survey Saeed Shurrab R. Duwairi OOD 37 177 0 17 Sep 2021
From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment Xin Mao Wenting Wang Yuanbin Wu Man Lan 36 68 0 06 Sep 2021
Stochastic Iterative Graph Matching Linfeng Liu M. C. Hughes S. Hassoun Liping Liu 27 15 0 04 Jun 2021
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision Felix Petersen Christian Borgelt Hilde Kuehne Oliver Deussen 18 30 0 09 May 2021
Rethinking Search: Making Domain Experts out of Dilettantes Donald Metzler Yi Tay Dara Bahri Marc Najork LRM 38 46 0 05 May 2021
Multilingual Knowledge Graph Completion with Joint Relation and Entity Alignment H. Singh Prachi Jain Mausam Soumen Chakrabarti 33 22 0 18 Apr 2021
Human-like Controllable Image Captioning with Verb-specific Semantic Roles Long Chen Zhihong Jiang Jun Xiao Wei Liu 30 74 0 22 Mar 2021
Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking Andrew N. Carr Quentin Berthet Mathieu Blondel O. Teboul Neil Zeghidour SSL 24 24 0 17 Mar 2021
Self-Supervision by Prediction for Object Discovery in Videos Beril Besbinar P. Frossard SSL 31 7 0 09 Mar 2021
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing Chunchuan Lyu Shay B. Cohen Ivan Titov 38 11 0 23 Oct 2020
Gradient Estimation with Stochastic Softmax Tricks Max B. Paulus Dami Choi Daniel Tarlow Andreas Krause Chris J. Maddison BDL 36 85 0 15 Jun 2020
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport Kyle Swanson L. Yu Tao Lei OT 29 37 0 27 May 2020
Physarum Powered Differentiable Linear Programming Layers and Applications Zihang Meng Sathya Ravi Vikas Singh 28 5 0 30 Apr 2020
Wasserstein-based Graph Alignment Hermina Petric Maretic Mireille El Gheche Matthias Minder Giovanni Chierchia P. Frossard OT 12 23 0 12 Mar 2020
Sparse Sinkhorn Attention Yi Tay Dara Bahri Liu Yang Donald Metzler Da-Cheng Juan 23 330 0 26 Feb 2020
PRNet: Self-Supervised Learning for Partial-to-Partial Registration Yue Wang Justin Solomon SSL 3DPC 25 379 0 27 Oct 2019
Optimal Feature Transport for Cross-View Image Geo-Localization Yujiao Shi Xin Yu Liu Liu Tong Zhang Hongdong Li ViT 22 157 0 11 Jul 2019
The Limited Multi-Label Projection Layer Brandon Amos V. Koltun J. Zico Kolter 24 36 0 20 Jun 2019
Deep Set Prediction Networks Yan Zhang Jonathon S. Hare Adam Prugel-Bennett 22 107 0 15 Jun 2019