SoftSort: A Continuous Relaxation for the argsort Operator

29 June 2020

Papers citing "SoftSort: A Continuous Relaxation for the argsort Operator"

43 / 43 papers shown

Title
Box-Constrained Softmax Function and Its Application for Post-Hoc Calibration Kyohei Atarashi S. Oyama Hiromi Arai H. Kashima 115 0 0 12 Jun 2025
XicorAttention: Time Series Transformer Using Attention with Nonlinear Correlation D. Kimura Tomonori Izumitani Hisashi Kashima AI4TS 37 0 0 03 Jun 2025
Constrained Sliced Wasserstein Embedding Navid Naderializadeh Darian Salehi Xinran Liu Soheil Kolouri 29 0 0 02 Jun 2025
Deep greedy unfolding: Sorting out argsorting in greedy sparse recovery algorithms Sina Mohammad-Taheri Matthew J. Colbrook Simone Brugiapaglia 45 0 0 21 May 2025
Efficient Token Compression for Vision Transformer with Spatial Information Preserved Junzhu Mao Yang Shen Jinyang Guo Yazhou Yao Xiansheng Hua ViT 141 0 0 30 Mar 2025
Entente: Cross-silo Intrusion Detection on Network Log Graphs with Federated Learning Jiacen Xu Chenang Li Yu Zheng Zhou Li FedML AAML 120 0 0 18 Mar 2025
Learning Cascade Ranking as One Network Yunli Wang Zhenru Zhang Ziyi Wang Zhiyong Yang Yunshui Li Jian Yang Shiyang Wen Peng Jiang Kun Gai 99 0 0 12 Mar 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 88 0 0 08 Mar 2025
Creating Sorted Grid Layouts with Gradient-based Optimization Kai Uwe Barthel Florian Barthel Peter Eisert Nico Hezel Konstantin Schall 190 1 0 04 Mar 2025
Learning Classifiers That Induce Markets Yonatan Sommer Ivri Hikri Lotan Amit Nir Rosenfeld 109 0 0 27 Feb 2025
BEACON: A Bayesian Optimization Strategy for Novelty Search in Expensive Black-Box Systems Wei-Ting Tang Ankush Chakrabarty J. Paulson 129 0 0 31 Dec 2024
The Differentiable Feasibility Pump M. Cacciola Alexandre Forel A. Frangioni Andrea Lodi 103 0 0 05 Nov 2024
Learning Neural Strategy-Proof Matching Mechanism from Examples Ryota Maruo Koh Takeuchi Hisashi Kashima 21 0 0 25 Oct 2024
Learning Fair and Preferable Allocations through Neural Network Ryota Maruo Koh Takeuchi Hisashi Kashima 145 0 0 23 Oct 2024
Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation Felix Petersen Christian Borgelt Aashwin Mishra Stefano Ermon 93 2 0 10 Oct 2024
Demystifying the Token Dynamics of Deep Selective State Space Models Thieu N. Vo Tung D. Pham Xin T. Tong Tan Minh Nguyen Mamba 131 0 0 04 Oct 2024
Scalable Variational Causal Discovery Unconstrained by Acyclicity Nu Hoang Bao Duong Thin Nguyen CML 90 0 0 06 Jul 2024
Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization Han Guo Ramtin Hosseini Ruiyi Zhang Sai Ashish Somayajula Ranak Roy Chowdhury Rajesh K. Gupta Pengtao Xie 96 0 0 28 Feb 2024
Variational DAG Estimation via State Augmentation With Stochastic Permutations Edwin V. Bonilla P. Elinas He Zhao Maurizio Filippone V. Kitsios Terry O'Kane CML 80 4 0 04 Feb 2024
Fast Slate Policy Optimization: Going Beyond Plackett-Luce Otmane Sakhi D. Rohde Nicolas Chopin OffRL 73 4 0 03 Aug 2023
Learned Thresholds Token Merging and Pruning for Vision Transformers Maxim Bonnaerens J. Dambre 98 23 0 20 Jul 2023
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance Jinwoo Kim Tien Dat Nguyen Ayhan Suleymanzade Hyeokjun An Seunghoon Hong 100 24 0 05 Jun 2023
Differentiable Random Partition Models Thomas M. Sutter Alain Ryser Joram Liebeskind Julia E. Vogt 83 3 0 26 May 2023
TransFlow: Transformer as Flow Learner Yawen Lu Qifan Wang Siqi Ma Tong Geng Victor Y. Chen Huaijin Chen Dongfang Liu ViT 96 50 0 23 Apr 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective Michael E. Sander J. Puigcerver Josip Djolonga Gabriel Peyré Mathieu Blondel 106 22 0 02 Feb 2023
DAG Learning on the Permutahedron Valentina Zantedeschi Luca Franceschi Jean Kaddour Matt J. Kusner Vlad Niculae 86 11 0 27 Jan 2023
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints Nina Shvetsova Felix Petersen Anna Kukleva Bernt Schiele Hilde Kuehne SSL 102 13 0 05 Jan 2023
HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers Peiyan Dong Mengshu Sun Alec Lu Yanyue Xie Li-Yu Daisy Liu ... Xin Meng Zechao Li Xue Lin Zhenman Fang Yanzhi Wang ViT 95 71 0 15 Nov 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 327 344 0 11 Sep 2022
Differentiable Top-k Classification Learning Felix Petersen Hilde Kuehne Christian Borgelt Oliver Deussen 122 32 0 15 Jun 2022
On the Symmetries of Deep Learning Models and their Internal Representations Charles Godfrey Davis Brown Tegan H. Emerson Henry Kvinge 92 45 0 27 May 2022
Differentiable DAG Sampling Bertrand Charpentier Simon Kibler Stephan Günnemann 97 42 0 16 Mar 2022
Unsupervised Learning of Group Invariant and Equivariant Representations R. Winter Marco Bertolini Tuan Le Frank Noé Djork-Arné Clevert 95 42 0 15 Feb 2022
Learning to Hash Naturally Sorts Jiaguo Yu Yuming Shen Menghan Wang Haofeng Zhang Philip Torr SSL 81 19 0 31 Jan 2022
SPViT: Enabling Faster Vision Transformers via Soft Token Pruning Zhenglun Kong Peiyan Dong Xiaolong Ma Xin Meng Mengshu Sun ... Geng Yuan Bin Ren Minghai Qin Hao Tang Yanzhi Wang ViT 86 153 0 27 Dec 2021
Robustness of Graph Neural Networks at Scale Simon Geisler Tobias Schmidt Hakan cSirin Daniel Zügner Aleksandar Bojchevski Stephan Günnemann AAML 106 135 0 26 Oct 2021
A Deep Generative Model for Reordering Adjacency Matrices Oh-Hyun Kwon Chiun-How Kao Chun-Houh Chen K. Ma 103 7 0 11 Oct 2021
Learning with Noisy Labels via Sparse Regularization Xiong Zhou Xianming Liu Chenyang Wang Deming Zhai Junjun Jiang Xiangyang Ji NoLa 111 51 0 31 Jul 2021
Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning R. Winter Frank Noé Djork-Arné Clevert BDL SSL 63 27 0 20 Apr 2021
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection Abhinav Kumar Garrick Brazil Xiaoming Liu 90 93 0 31 Mar 2021
PiRank: Scalable Learning To Rank via Differentiable Sorting Robin M. E. Swezey Aditya Grover Bruno Charron Stefano Ermon 91 30 0 12 Dec 2020
Content-based Image Retrieval and the Semantic Gap in the Deep Learning Era Björn Barz Joachim Denzler VLM 39 12 0 12 Nov 2020
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval A. Brown Weidi Xie Vicky Kalogeiton Andrew Zisserman 123 165 0 23 Jul 2020