Learning Latent Permutations with Gumbel-Sinkhorn Networks

23 February 2018

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

44 / 44 papers shown

Title
Differentiable Adversarial Attacks for Marked Temporal Point Processes Pritish Chakraborty Vinayak Gupta R. Raj Srikanta J. Bedathur A. De AAML 172 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 143 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 42 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 23 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 16 1 0 14 Nov 2023
Non-autoregressive Streaming Transformer for Simultaneous Translation Zhengrui Ma Shaolei Zhang Shoutao Guo Chenze Shao Min Zhang Yang Feng 24 12 0 23 Oct 2023
Equivariant Deep Weight Space Alignment Aviv Navon Aviv Shamsian Ethan Fetaya Gal Chechik Nadav Dym Haggai Maron 26 21 0 20 Oct 2023
Order-based Structure Learning with Normalizing Flows Hamidreza Kamkari Vahid Balazadeh Meresht Vahid Zehtab Rahul G. Krishnan CML 29 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 21 13 0 22 Jul 2023
Differentiable Random Partition Models Thomas M. Sutter Alain Ryser Joram Liebeskind Julia E. Vogt 39 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 36 61 0 11 Nov 2022
Searching Dense Point Correspondences via Permutation Matrix Learning Zhiyuan Zhang Jiadai Sun Yuchao Dai Bin Fan Qi Liu 3DPC 24 2 0 26 Oct 2022
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection A. De Soumen Chakrabarti 16 4 0 20 Oct 2022
Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks Indradyumna Roy Soumen Chakrabarti A. De GNN 22 4 0 20 Oct 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 252 313 0 11 Sep 2022
Unsupervised Deep Multi-Shape Matching Dongliang Cao Florian Bernard 3DPC 3DV 11 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 32 12 0 13 Jul 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 34 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
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 26 93 0 04 Oct 2021
Self-supervised learning methods and applications in medical imaging analysis: A survey Saeed Shurrab R. Duwairi OOD 34 175 0 17 Sep 2021
Rethinking Search: Making Domain Experts out of Dilettantes Donald Metzler Yi Tay Dara Bahri Marc Najork LRM 28 46 0 05 May 2021
Multilingual Knowledge Graph Completion with Joint Relation and Entity Alignment H. Singh Prachi Jain Mausam Soumen Chakrabarti 25 22 0 18 Apr 2021
Human-like Controllable Image Captioning with Verb-specific Semantic Roles Long Chen Zhihong Jiang Jun Xiao Wei Liu 16 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 16 24 0 17 Mar 2021
Self-Supervision by Prediction for Object Discovery in Videos Beril Besbinar P. Frossard SSL 23 7 0 09 Mar 2021
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing Chunchuan Lyu Shay B. Cohen Ivan Titov 24 11 0 23 Oct 2020
Gradient Estimation with Stochastic Softmax Tricks Max B. Paulus Dami Choi Daniel Tarlow Andreas Krause Chris J. Maddison BDL 34 85 0 15 Jun 2020
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport Kyle Swanson L. Yu Tao Lei OT 24 37 0 27 May 2020
Physarum Powered Differentiable Linear Programming Layers and Applications Zihang Meng Sathya Ravi Vikas Singh 19 5 0 30 Apr 2020
PRNet: Self-Supervised Learning for Partial-to-Partial Registration Yue Wang Justin Solomon SSL 3DPC 16 379 0 27 Oct 2019
Optimal Feature Transport for Cross-View Image Geo-Localization Yujiao Shi Xin Yu Liu Liu Tong Zhang Hongdong Li ViT 16 157 0 11 Jul 2019
Deep Set Prediction Networks Yan Zhang Jonathon S. Hare Adam Prugel-Bennett 17 107 0 15 Jun 2019
GOT: An Optimal Transport framework for Graph comparison Hermina Petric Maretic Mireille El Gheche Giovanni Chierchia P. Frossard OT 25 117 0 05 Jun 2019
Learning to rank for censored survival data Margaux Luck Tristan Sylvain Joseph Paul Cohen H. Cardinal Andrea Lodi Yoshua Bengio CML 36 5 0 06 Jun 2018
AMR Parsing as Graph Prediction with Latent Alignment Chunchuan Lyu Ivan Titov GNN BDL 9 127 0 14 May 2018