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Differentiable Top-k Classification Learning

Differentiable Top-k Classification Learning

15 June 2022
Felix Petersen
Hilde Kuehne
Christian Borgelt
Oliver Deussen
ArXiv (abs)PDFHTML

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
Analyzing Transformer Models and Knowledge Distillation Approaches for Image Captioning on Edge AI
Wing Man Casca Kwok
Yip Chiu Tung
Kunal Bhagchandani
VLM
53
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
92
0
0
08 Mar 2025
Machine Learning Should Maximize Welfare, but Not by (Only) Maximizing Accuracy
Machine Learning Should Maximize Welfare, but Not by (Only) Maximizing Accuracy
Nir Rosenfeld
Haifeng Xu
FaMLHAI
119
0
0
17 Feb 2025
Advancing Anomaly Detection in Computational Workflows with Active
  Learning
Advancing Anomaly Detection in Computational Workflows with Active Learning
Krishnan Raghavan
George Papadimitriou
Hongwei Jin
A. Mandal
Mariam Kiran
Prasanna Balaprakash
Ewa Deelman
AI4CE
40
2
0
09 May 2024
KDk: A Defense Mechanism Against Label Inference Attacks in Vertical
  Federated Learning
KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning
Marco Arazzi
S. Nicolazzo
Antonino Nocera
FedMLAAML
76
3
0
18 Apr 2024
Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch
  Gradient Descent
Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descent
Haoyu Yang
Anthony Agnesina
Haoxing Ren
32
0
0
08 Feb 2024
Holistic chemical evaluation reveals pitfalls in reaction prediction
  models
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
Grounding Everything: Emerging Localization Properties in Vision-Language Transformers
Walid Bousselham
Felix Petersen
Vittorio Ferrari
Hilde Kuehne
ObjDVLM
121
49
0
01 Dec 2023
Dual-Encoders for Extreme Multi-Label Classification
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
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
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
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
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
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
Provable Robust Saliency-based Explanations
Chao Chen
Chenghua Guo
Guixiang Ma
Ming Zeng
Xi Zhang
Sihong Xie
AAMLFAtt
99
1
0
28 Dec 2022
1