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2206.07290
Cited By
Differentiable Top-k Classification Learning
15 June 2022
Felix Petersen
Hilde Kuehne
Christian Borgelt
Oliver Deussen
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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
92
0
0
08 Mar 2025
Machine Learning Should Maximize Welfare, but Not by (Only) Maximizing Accuracy
Nir Rosenfeld
Haifeng Xu
FaML
HAI
119
0
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
38
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
76
3
0
18 Apr 2024
Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descent
Haoyu Yang
Anthony Agnesina
Haoxing Ren
30
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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