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Stochastic Optimization of Sorting Networks via Continuous Relaxations

International Conference on Learning Representations (ICLR), 2019

21 March 2019

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

50 / 109 papers shown

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Factorization-in-Loop: Proximal Fill-in Minimization for Sparse Matrix Reordering Ziwei Li Shuzi Niu Tao Yuan Huiyuan Li Wenjia Wu 69 0 0 12 Nov 2025
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Geometric Algorithms for Neural Combinatorial Optimization with Constraints Nikolaos Karalias Akbar Rafiey Yifei Xu Zhishang Luo B. Tahmasebi Connie Jiang Stefanie Jegelka 101 0 0 28 Oct 2025
Differentiable Fast Top-K Selection for Large-Scale Recommendation Yanjie Zhu Zhen Zhang Yunli Wang Zhiqiang Wang Y. Li Rufan Zhou Shiyang Wen Peng Jiang C. D. Lin Jian Yang 59 0 0 13 Oct 2025
Black-Box Combinatorial Optimization with Order-Invariant Reinforcement Learning Olivier Goudet Quentin Suire Adrien Goëffon F. Saubion Sylvain Lamprier OffRL 64 0 0 02 Oct 2025
Differentiable Entropy Regularization: A Complexity-Aware Approach for Neural Optimization Ibne Farabi Shihab Sanjeda Akter Anuj Sharma AAML 64 0 0 03 Sep 2025
LLM-Guided Semantic Relational Reasoning for Multimodal Intent Recognition Qianrui Zhou Hua Xu Yifan Wang Xinzhi Dong Hanlei Zhang 80 0 0 01 Sep 2025
RewardRank: Optimizing True Learning-to-Rank Utility Gaurav Bhatt K. K. Thekumparampil Tanmay Gangwani Tesi Xiao Leonid Sigal 79 0 0 19 Aug 2025
A Transformer-Based Neural Network for Optimal Deterministic-Allocation and Anonymous Joint Auction Design Zhen Zhang Luowen Liu Wanzhi Zhang Zitian Guo Kun Huang Qi Qi Qiang Liu Xingxing Wang 159 0 0 03 Jun 2025
XicorAttention: Time Series Transformer Using Attention with Nonlinear Correlation D. Kimura Tomonori Izumitani Hisashi Kashima AI4TS 148 0 0 03 Jun 2025
Learning Distributions over Permutations and Rankings with Factorized Representations Daniel Severo Brian Karrer Niklas Nolte OOD 88 1 0 30 May 2025
Deep greedy unfolding: Sorting out argsorting in greedy sparse recovery algorithms Sina Mohammad-Taheri Matthew J. Colbrook Simone Brugiapaglia 101 1 0 21 May 2025
Learning Cascade Ranking as One Network Yunli Wang Zhenru Zhang Liang Luo Zhiyong Yang Yunshui Li Zhiqiang Wang Shiyang Wen Peng Jiang Kun Gai 275 2 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 189 2 0 08 Mar 2025
Online Aggregation of Trajectory PredictorsIEEE International Conference on Robotics and Automation (ICRA), 2025 Alex Tong Apoorva Sharma Sushant Veer Marco Pavone Heng Yang OffRL 230 2 0 11 Feb 2025
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Discovering Data Structures: Nearest Neighbor Search and Beyond Omar Salemohamed Laurent Charlin Shivam Garg Willie Neiswanger Gregory Valiant FedML 272 0 0 05 Nov 2024
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Holistic Utility Preference Learning for Listwise Alignment Jiacong Zhou Xianyun Wang Jun Yu Jun Yu 296 3 0 17 Oct 2024
Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation Felix Petersen Christian Borgelt Aashwin Mishra Stefano Ermon 179 2 0 10 Oct 2024
MVP-Bench: Can Large Vision--Language Models Conduct Multi-level Visual Perception Like Humans?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Guanzhen Li Yuxi Xie Min-Yen Kan VLM 769 2 0 06 Oct 2024
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric GroupsInternational Conference on Learning Representations (ICLR), 2024 Yongxing Zhang Donglin Yang Renjie Liao DiffM 814 4 0 03 Oct 2024
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural NetworksScientia Sinica Informationis (SSI), 2024 Runzhong Wang Yang Li Junchi Yan Xiaokang Yang AI4CE 207 1 0 06 Sep 2024
Revisiting Score Function Estimators for $k$ -Subset Sampling Klas Wijk Ricardo Vinuesa Hossein Azizpour TDI 152 2 0 22 Jul 2024
Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems Zhichen Xiang Hongke Zhao Chuang Zhao Ming He Jianping Fan 142 4 0 25 Jun 2024
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Enhancing Mobile "How-to" Queries with Automated Search Results Verification and Reranking Lei Ding Jeshwanth Bheemanpally Yi Zhang 241 1 0 13 Apr 2024
Probabilistic Calibration by Design for Neural Network RegressionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Victor Dheur Souhaib Ben Taieb 336 6 0 18 Mar 2024
Softened Symbol Grounding for Neuro-symbolic Systems Zenan Li Yuan Yao Taolue Chen Jingwei Xu Chun Cao Xiaoxing Ma Jian Lu NAI 202 18 0 01 Mar 2024
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Generalized Neural Sorting Networks with Error-Free Differentiable Swap FunctionsInternational Conference on Learning Representations (ICLR), 2023 Jungtaek Kim Jeongbeen Yoon Minsu Cho 113 3 0 11 Oct 2023
Ensuring User-side Fairness in Dynamic Recommender SystemsThe Web Conference (WWW), 2023 Hyunsik Yoo Zhichen Zeng Jian Kang Ruizhong Qiu David Zhou Zhining Liu Haiwei Yang Charlie Xu Eunice Chan Hanghang Tong 245 32 0 29 Aug 2023
Kissing to Find a Match: Efficient Low-Rank Permutation RepresentationNeural Information Processing Systems (NeurIPS), 2023 H. Droge Zorah Lähner Yuval Bahat Onofre Martorell Felix Heide Michael Moller 167 3 0 25 Aug 2023
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Polynomial Width is Sufficient for Set Representation with High-dimensional FeaturesInternational Conference on Learning Representations (ICLR), 2023 Peihao Wang Shenghao Yang Shu Li Zinan Lin Pan Li 372 9 0 08 Jul 2023
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ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical DataInternational Conference on Machine Learning (ICML), 2023 Xiangjian Jiang Andrei Margeloiu Nikola Simidjievski M. Jamnik OOD 233 14 0 21 Jun 2023
Learning Probabilistic Symmetrization for Architecture Agnostic EquivarianceNeural Information Processing Systems (NeurIPS), 2023 Jinwoo Kim Tien Dat Nguyen Ayhan Suleymanzade Hyeokjun An Seunghoon Hong 322 27 0 05 Jun 2023
A Large-Scale Study of Probabilistic Calibration in Neural Network RegressionInternational Conference on Machine Learning (ICML), 2023 Victor Dheur Souhaib Ben Taieb BDL 375 22 0 05 Jun 2023
Beam Tree Recursive CellsInternational Conference on Machine Learning (ICML), 2023 Jishnu Ray Chowdhury Cornelia Caragea 345 6 0 31 May 2023
Differentiable Random Partition ModelsNeural Information Processing Systems (NeurIPS), 2023 Thomas M. Sutter Alain Ryser Joram Liebeskind Julia E. Vogt 244 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 128 0 0 26 Apr 2023
SmartChoices: Augmenting Software with Learned Implementations Daniel Golovin Gábor Bartók Eric Chen Emily A. Donahue Tzu-Kuo Huang Efi Kokiopoulou Ruoyan Qin Nikhil Sarda Justin Sybrandt Vincent Tjeng OffRL 141 2 0 12 Apr 2023
Performative Recommendation: Diversifying Content via Strategic IncentivesInternational Conference on Machine Learning (ICML), 2023 Itay Eilat Nir Rosenfeld 225 14 0 08 Feb 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis PerspectiveInternational Conference on Machine Learning (ICML), 2023 Michael E. Sander J. Puigcerver Josip Djolonga Gabriel Peyré Mathieu Blondel 389 30 0 02 Feb 2023
Learning by Sorting: Self-supervised Learning with Group Ordering ConstraintsIEEE International Conference on Computer Vision (ICCV), 2023 Nina Shvetsova Felix Petersen Anna Kukleva Bernt Schiele Hilde Kuehne SSL 214 15 0 05 Jan 2023

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Stochastic Optimization of Sorting Networks via Continuous Relaxations

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