Differentiable Top-k Classification Learning

Differentiable Top-k Classification Learning

15 June 2022

Christian Borgelt

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Papers citing "Differentiable Top-k Classification Learning"

16 / 16 papers shown

Title
Nearness of Neighbors Attention for Regression in Supervised Finetuning Aviad Susman Mayte Suárez-Fariñas Joseph T Colonel 22 0 0 09 Jun 2025
Analyzing Transformer Models and Knowledge Distillation Approaches for Image Captioning on Edge AI Wing Man Casca Kwok Yip Chiu Tung Kunal Bhagchandani VLM 51 0 0 04 Jun 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 90 0 0 08 Mar 2025
Machine Learning Should Maximize Welfare, but Not by (Only) Maximizing Accuracy Nir Rosenfeld Haifeng Xu FaML HAI 117 2 0 17 Feb 2025
Advancing Anomaly Detection in Computational Workflows with Active Learning Krishnan Raghavan George Papadimitriou Hongwei Jin A. Mandal Mariam Kiran Prasanna Balaprakash Ewa Deelman AI4CE 36 2 0 09 May 2024
KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning Marco Arazzi S. Nicolazzo Antonino Nocera FedML AAML 74 3 0 18 Apr 2024
Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descent Haoyu Yang Anthony Agnesina Haoxing Ren 28 0 0 08 Feb 2024
Holistic chemical evaluation reveals pitfalls in reaction prediction models Victor Sabanza Gil Andres M Bran Malte Franke Remi Schlama J. Luterbacher Philippe Schwaller ELM 92 1 0 14 Dec 2023
Grounding Everything: Emerging Localization Properties in Vision-Language Transformers Walid Bousselham Felix Petersen Vittorio Ferrari Hilde Kuehne ObjD VLM 121 49 0 01 Dec 2023
Dual-Encoders for Extreme Multi-Label Classification Nilesh Gupta Devvrit Khatri A. S. Rawat Srinadh Bhojanapalli Prateek Jain Inderjit Dhillon VLM 86 3 0 16 Oct 2023
Self-supervised Learning for Anomaly Detection in Computational Workflows Hongwei Jin Krishnan Raghavan George Papadimitriou Cong Wang A. Mandal Ewa Deelman Prasanna Balaprakash 59 1 0 02 Oct 2023
Evaluation Metrics for DNNs Compression Abanoub Ghobrial S. Budgett Dieter Balemans Hamid Asgari Philippe Reiter Kerstin Eder 59 1 0 18 May 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective Michael E. Sander J. Puigcerver Josip Djolonga Gabriel Peyré Mathieu Blondel 117 22 0 02 Feb 2023
Learning to Summarize Videos by Contrasting Clips Ivan Sosnovik A. Moskalev Cees Kaandorp A. Smeulders 62 0 0 12 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
Provable Robust Saliency-based Explanations Chao Chen Chenghua Guo Guixiang Ma Ming Zeng Xi Zhang Sihong Xie AAML FAtt 99 1 0 28 Dec 2022

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