Stochastic Optimization of Sorting Networks via Continuous Relaxations

21 March 2019

Papers citing "Stochastic Optimization of Sorting Networks via Continuous Relaxations"

40 / 40 papers shown

Title
Deep greedy unfolding: Sorting out argsorting in greedy sparse recovery algorithms Sina Mohammad-Taheri Matthew J. Colbrook Simone Brugiapaglia 21 0 0 21 May 2025
LapSum -- One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection Łukasz Struski Michał B. Bednarczyk Igor T. Podolak Jacek Tabor BDL 62 0 0 08 Mar 2025
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups Yongxing Zhang Donglin Yang Renjie Liao DiffM 258 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 51 0 0 06 Sep 2024
Made to Order: Discovering monotonic temporal changes via self-supervised video ordering Charig Yang Weidi Xie Andrew Zisserman 44 2 0 25 Apr 2024
Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems Yunli Wang Zhiqiang Wang Jian Yang Shiyang Wen Dongying Kong Han Li Kun Gai 37 10 0 16 Oct 2023
Differentiable Random Partition Models Thomas M. Sutter Alain Ryser Joram Liebeskind Julia E. Vogt 55 3 0 26 May 2023
Diffsurv: Differentiable sorting for censored time-to-event data A. Vauvelle Benjamin Wild A. Cakiroglu Roland Eils Spiros C. Denaxas 14 0 0 26 Apr 2023
Performative Recommendation: Diversifying Content via Strategic Incentives Itay Eilat Nir Rosenfeld 48 7 0 08 Feb 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective Michael E. Sander J. Puigcerver Josip Djolonga Gabriel Peyré Mathieu Blondel 26 19 0 02 Feb 2023
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints Nina Shvetsova Felix Petersen Anna Kukleva Bernt Schiele Hilde Kuehne SSL 49 13 0 05 Jan 2023
Differentiable Mathematical Programming for Object-Centric Representation Learning Adeel Pervez Phillip Lippe E. Gavves OCL 49 5 0 05 Oct 2022
SIMPLE: A Gradient Estimator for $k$ -Subset Sampling Kareem Ahmed Zhe Zeng Mathias Niepert Guy Van den Broeck BDL 53 25 0 04 Oct 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 257 318 0 11 Sep 2022
Differentiable Top-k Classification Learning Felix Petersen Hilde Kuehne Christian Borgelt Oliver Deussen 63 28 0 15 Jun 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
A Multi-stage deep architecture for summary generation of soccer videos Melissa Sanabria F. Precioso Pierre-Alexandre Mattei Thomas Menguy 30 6 0 02 May 2022
Relevance-based Margin for Contrastively-trained Video Retrieval Models Alex Falcon Swathikiran Sudhakaran G. Serra Sergio Escalera Oswald Lanz 47 7 0 27 Apr 2022
Optimizing generalized Gini indices for fairness in rankings Virginie Do Nicolas Usunier 15 29 0 02 Apr 2022
Learning Group Importance using the Differentiable Hypergeometric Distribution Thomas M. Sutter Laura Manduchi Alain Ryser Julia E. Vogt 49 7 0 03 Mar 2022
Relational Surrogate Loss Learning Tao Huang Zekang Li Hua Lu Yong Shan Shusheng Yang Yang Feng Fei Wang Shan You Chang Xu 26 5 0 26 Feb 2022
Unsupervised Learning of Group Invariant and Equivariant Representations R. Winter Marco Bertolini Tuan Le Frank Noé Djork-Arné Clevert 36 41 0 15 Feb 2022
Auto-Compressing Subset Pruning for Semantic Image Segmentation Konstantin Ditschuneit Johannes Otterbach 21 5 0 26 Jan 2022
A Survey of Online Auction Mechanism Design Using Deep Learning Approaches Zhanhao Zhang 21 4 0 11 Oct 2021
A Deep Generative Model for Reordering Adjacency Matrices Oh-Hyun Kwon Chiun-How Kao Chun-Houh Chen K. Ma 33 6 0 11 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 33 94 0 04 Oct 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions Mathias Niepert Pasquale Minervini Luca Franceschi 37 81 0 03 Jun 2021
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision Felix Petersen Christian Borgelt Hilde Kuehne Oliver Deussen 28 30 0 09 May 2021
Differentiable Agent-Based Simulation for Gradient-Guided Simulation-Based Optimization Philipp Andelfinger 32 13 0 23 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 29 24 0 17 Mar 2021
PiRank: Scalable Learning To Rank via Differentiable Sorting Robin M. E. Swezey Aditya Grover Bruno Charron Stefano Ermon 18 28 0 12 Dec 2020
Neural Proof Nets Konstantinos Kogkalidis M. Moortgat R. Moot 25 11 0 26 Sep 2020
Gradient Estimation with Stochastic Softmax Tricks Max B. Paulus Dami Choi Daniel Tarlow Andreas Krause Chris J. Maddison BDL 41 85 0 15 Jun 2020
Differentiable Top-k Operator with Optimal Transport Yujia Xie H. Dai Minshuo Chen Bo Dai T. Zhao H. Zha Wei Wei Tomas Pfister OT 32 27 0 16 Feb 2020
Estimating Gradients for Discrete Random Variables by Sampling without Replacement W. Kool H. V. Hoof Max Welling BDL 31 49 0 14 Feb 2020
FSPool: Learning Set Representations with Featurewise Sort Pooling Yan Zhang Jonathon S. Hare Adam Prugel-Bennett 19 75 0 06 Jun 2019
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds Bo Yang Jianan Wang R. Clark Qingyong Hu Sen Wang Andrew Markham A. Trigoni 3DPC 41 325 0 04 Jun 2019
Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement W. Kool H. V. Hoof Max Welling 71 216 0 14 Mar 2019
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations Tri Dao Albert Gu Matthew Eichhorn Atri Rudra Christopher Ré 24 102 0 14 Mar 2019
Graphite: Iterative Generative Modeling of Graphs Aditya Grover Aaron Zweig Stefano Ermon BDL 33 296 0 28 Mar 2018