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Fast Differentiable Sorting and Ranking

20 February 2020

Papers citing "Fast Differentiable Sorting and Ranking"

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Title
Nearness of Neighbors Attention for Regression in Supervised Finetuning Aviad Susman Mayte Suárez-Fariñas Joseph T Colonel 10 0 0 09 Jun 2025
XicorAttention: Time Series Transformer Using Attention with Nonlinear Correlation D. Kimura Tomonori Izumitani Hisashi Kashima AI4TS 35 0 0 03 Jun 2025
FlexSelect: Flexible Token Selection for Efficient Long Video Understanding Yunzhu Zhang Yu Lu T. Wang Fengyun Rao Yi Yang Linchao Zhu VLM 37 0 0 01 Jun 2025
Revisiting Reweighted Risk for Calibration: AURC, Focal Loss, and Inverse Focal Loss Han Zhou Sebastian G.Gruber Teodora Popordanoska Matthew B. Blaschko 51 0 0 29 May 2025
Improving Equivariant Networks with Probabilistic Symmetry Breaking Hannah Lawrence Vasco Portilheiro Yan Zhang Sékou-Oumar Kaba 139 6 0 27 Mar 2025
Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling Guillem Capellera Antonio Rubio Luis Ferraz Antonio Agudo 116 1 0 24 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 97 0 0 12 Mar 2025
Preserving clusters and correlations: a dimensionality reduction method for exceptionally high global structure preservation Jacob Gildenblat Jens Pahnke 465 1 0 10 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
Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Guangkun Nie Gongzheng Tang Shenda Hong 144 0 0 20 Nov 2024
Conformal Risk Minimization with Variance Reduction Sima Noorani Orlando Romero Nicolò Dal Fabbro Hamed Hassani George Pappas 238 3 0 03 Nov 2024
Soft Condorcet Optimization for Ranking of General Agents Marc Lanctot Kate Larson Michael Kaisers Quentin Berthet I. Gemp Manfred Diaz Roberto-Rafael Maura-Rivero Yoram Bachrach Anna Koop Doina Precup 263 0 0 31 Oct 2024
C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets Kangdao Liu Hao Zeng Jianguo Huang Huiping Zhuang Chi-Man Vong Hongxin Wei 235 4 0 12 Oct 2024
Secure Video Quality Assessment Resisting Adversarial Attacks Ao Zhang Yu Ran Weixuan Tang Yuan-Gen Wang Qingxiao Guan Chunsheng Yang AAML 71 0 0 09 Oct 2024
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups Yongxing Zhang Donglin Yang Renjie Liao DiffM 429 1 0 03 Oct 2024
Asynchronous Feedback Network for Perceptual Point Cloud Quality Assessment Yujie Zhang Qi Yang Ziyu Shan Yiling Xu 3DPC 73 0 0 13 Jul 2024
Differentiation of Multi-objective Data-driven Decision Pipeline Peng Li Lixia Wu Chaoqun Feng Haoyuan Hu Lei Fu Jieping Ye 114 1 0 02 Jun 2024
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators Harry Zhang Luca Carlone 3DH 246 1 0 27 May 2024
Building Optimal Neural Architectures using Interpretable Knowledge Keith G. Mills Fred X. Han Mohammad Salameh Shengyao Lu Chunhua Zhou Jiao He Fengyu Sun Di Niu 55 2 0 20 Mar 2024
Assessing SATNet's Ability to Solve the Symbol Grounding Problem Oscar Chang Lampros Flokas Hod Lipson Michael Spranger NAI 66 17 0 13 Dec 2023
Revisiting Implicit Differentiation for Learning Problems in Optimal Control Ming Xu Timothy Molloy Stephen Gould 70 7 0 23 Oct 2023
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 102 12 0 16 Oct 2023
Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data Kevin Kasa Graham W. Taylor 89 4 0 03 Jul 2023
Towards Understanding Gradient Approximation in Equality Constrained Deep Declarative Networks Stephen Gould Mingle Xu Zhiwei Xu Yanbin Liu 95 0 0 24 Jun 2023
Differentiable Clustering with Perturbed Spanning Forests Lawrence Stewart Francis R. Bach Felipe Llinares-López Quentin Berthet 97 11 0 25 May 2023
No-Regret Constrained Bayesian Optimization of Noisy and Expensive Hybrid Models using Differentiable Quantile Function Approximations Congwen Lu J. Paulson 67 8 0 05 May 2023
About latent roles in forecasting players in team sports Luca Scofano Alessio Sampieri Giuseppe Re Matteo Almanza A. Panconesi Fabio Galasso AI4TS 47 1 0 17 Apr 2023
Correlation Loss: Enforcing Correlation between Classification and Localization Fehmi Kahraman Kemal Oksuz Sinan Kalkan Emre Akbas 58 5 0 03 Jan 2023
Stochastic Optimization for Spectral Risk Measures Ronak R. Mehta Vincent Roulet Krishna Pillutla Lang Liu Zaïd Harchaoui 79 8 0 10 Dec 2022
Efficient Malware Analysis Using Metric Embeddings Ethan M. Rudd David B. Krisiloff Scott E. Coull Daniel Olszewski Edward Raff James Holt AAML 57 8 0 05 Dec 2022
Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes Marin Ballu Quentin Berthet 110 8 0 18 Nov 2022
Can one hear the position of nodes? Rami Puzis 56 2 0 10 Nov 2022
SIMPLE: A Gradient Estimator for $k$ -Subset Sampling Kareem Ahmed Zhe Zeng Mathias Niepert Guy Van den Broeck BDL 136 27 0 04 Oct 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 327 344 0 11 Sep 2022
Learning with Combinatorial Optimization Layers: a Probabilistic Approach Guillaume Dalle Léo Baty Louis Bouvier Axel Parmentier AI4CE 74 36 0 27 Jul 2022
Approximating 1-Wasserstein Distance with Trees M. Yamada Yuki Takezawa Ryoma Sato Hang Bao Zornitsa Kozareva Sujith Ravi 119 9 0 24 Jun 2022
Gradual Domain Adaptation via Normalizing Flows Shogo Sagawa H. Hino CLL OOD 92 10 0 23 Jun 2022
Differentiable Top-k Classification Learning Felix Petersen Hilde Kuehne Christian Borgelt Oliver Deussen 119 32 0 15 Jun 2022
Towards Meta-learned Algorithm Selection using Implicit Fidelity Information Aditya Mohan Tim Ruhkopf Marius Lindauer FedML 70 3 0 07 Jun 2022
Backpropagation through Combinatorial Algorithms: Identity with Projection Works Subham S. Sahoo Anselm Paulus Marin Vlastelica Vít Musil Volodymyr Kuleshov Georg Martius 95 20 0 30 May 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning Bat-Sheva Einbinder Yaniv Romano Matteo Sesia Yanfei Zhou UQCV 146 54 0 12 May 2022
Low Dimensional Invariant Embeddings for Universal Geometric Learning Nadav Dym S. Gortler 85 43 0 05 May 2022
Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies Alon Berliner Guy Rotman Yossi Adi Roi Reichart Tamir Hazan BDL DRL 61 4 0 03 May 2022
Optimizing generalized Gini indices for fairness in rankings Virginie Do Nicolas Usunier 67 30 0 02 Apr 2022
Monotonic Differentiable Sorting Networks Felix Petersen Christian Borgelt Hilde Kuehne Oliver Deussen 63 26 0 17 Mar 2022
Relational Surrogate Loss Learning Tao Huang Zekang Li Hua Lu Yong Shan Shusheng Yang Yang Feng Fei Wang Shan You Chang Xu 55 5 0 26 Feb 2022
PatchGame: Learning to Signal Mid-level Patches in Referential Games Kamal Gupta Gowthami Somepalli Anubhav Gupta Vinoj Jayasundara Matthias Zwicker Abhinav Shrivastava 74 4 0 02 Nov 2021
Multivariate rank via entropic optimal transport: sample efficiency and generative modeling Shoaib Bin Masud Matthew Werenski James M. Murphy Shuchin Aeron OT 38 9 0 29 Oct 2021
Learning Optimal Conformal Classifiers David Stutz Krishnamurthy Dvijotham Dvijotham A. Cemgil Arnaud Doucet 227 90 0 18 Oct 2021
Differentiable Spline Approximations Minsu Cho Aditya Balu Ameya Joshi Anjana Prasad Biswajit Khara Soumik Sarkar Baskar Ganapathysubramanian A. Krishnamurthy Chinmay Hegde 58 4 0 04 Oct 2021