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No Cost Likelihood Manipulation at Test Time for Making Better Mistakes
  in Deep Networks

No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks

International Conference on Learning Representations (ICLR), 2021
1 April 2021
Shyamgopal Karthik
Christian Schroeder de Witt
P. Dokania
Vineet Gandhi
ArXiv (abs)PDFHTML

Papers citing "No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks"

19 / 19 papers shown
Free-Grained Hierarchical Recognition
Free-Grained Hierarchical Recognition
Seulki Park
Zilin Wang
Stella X. Yu
VLM
132
1
0
16 Oct 2025
ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks
ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth NetworksComputer Vision and Pattern Recognition (CVPR), 2025
Erik Wallin
Fredrik Kahl
Lars Hammarstrand
OODD
370
2
0
27 Mar 2025
Learning and Evaluating Hierarchical Feature Representations
Depanshu Sani
Saket Anand
227
0
0
10 Mar 2025
Making Better Mistakes in CLIP-Based Zero-Shot Classification with Hierarchy-Aware Language Prompts
Tong Liang
Jim Davis
VLM
333
3
0
04 Mar 2025
Harnessing Superclasses for Learning from Hierarchical Databases
Harnessing Superclasses for Learning from Hierarchical Databases
Nicolas Urbani
Sylvain Rousseau
Yves Grandvalet
Leonardo Tanzi
337
1
0
25 Nov 2024
From Logits to Hierarchies: Hierarchical Clustering made Simple
From Logits to Hierarchies: Hierarchical Clustering made Simple
Emanuele Palumbo
Moritz Vandenhirtz
Alain Ryser
Imant Daunhawer
Julia E. Vogt
195
3
0
10 Oct 2024
Hierarchical Selective Classification
Hierarchical Selective ClassificationNeural Information Processing Systems (NeurIPS), 2024
Shani Goren
Ido Galil
Ran El-Yaniv
BDL
327
7
0
19 May 2024
Online Continual Learning on Hierarchical Label Expansion
Online Continual Learning on Hierarchical Label ExpansionIEEE International Conference on Computer Vision (ICCV), 2023
Byung Hyun Lee
Ok-Cheol Jung
Jonghyun Choi
S. Chun
CLL
198
12
0
28 Aug 2023
Hyperbolic Random Forests
Hyperbolic Random Forests
Lars Doorenbos
Pablo Márquez-Neila
Raphael Sznitman
Pascal Mettes
225
9
0
25 Aug 2023
SEAL: Simultaneous Label Hierarchy Exploration And Learning
SEAL: Simultaneous Label Hierarchy Exploration And Learning
Zhi-Hao Tan
Zihao Wang
Yifan Zhang
304
7
0
26 Apr 2023
Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing
  Mistake Severity
Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake SeverityIEEE International Conference on Computer Vision (ICCV), 2023
Tong Liang
Jim Davis
290
14
0
10 Mar 2023
Enhancing Classification with Hierarchical Scalable Query on Fusion
  Transformer
Enhancing Classification with Hierarchical Scalable Query on Fusion TransformerIEEE International Conference on Consumer Electronics (ICCE), 2023
S. K. Sahoo
Sathish Chalasani
Abhishek Joshi
K. N. Iyer
191
2
0
28 Feb 2023
Test-Time Amendment with a Coarse Classifier for Fine-Grained
  Classification
Test-Time Amendment with a Coarse Classifier for Fine-Grained ClassificationNeural Information Processing Systems (NeurIPS), 2023
Kanishk Jain
Shyamgopal Karthik
Vineet Gandhi
253
8
0
01 Feb 2023
Hierarchical classification at multiple operating points
Hierarchical classification at multiple operating pointsNeural Information Processing Systems (NeurIPS), 2022
Jack Valmadre
169
21
0
19 Oct 2022
Learning Hierarchy Aware Features for Reducing Mistake Severity
Learning Hierarchy Aware Features for Reducing Mistake SeverityEuropean Conference on Computer Vision (ECCV), 2022
Ashima Garg
Depanshu Sani
Saket Anand
212
29
0
26 Jul 2022
All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label
  Predictions (CHAMP)
All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label Predictions (CHAMP)
A. Vaswani
Gaurav Aggarwal
Praneeth Netrapalli
N. Hegde
253
4
0
17 Jun 2022
HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised
  Learning
HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Ashima Garg
Shaurya Bagga
Yashvardhan Singh
Saket Anand
235
13
0
30 Oct 2021
Leveraging Class Hierarchies with Metric-Guided Prototype Learning
Leveraging Class Hierarchies with Metric-Guided Prototype Learning
Vivien Sainte Fare Garnot
Loic Landrieu
336
43
0
06 Jul 2020
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, StrongerComputer Vision and Pattern Recognition (CVPR), 2016
Joseph Redmon
Ali Farhadi
VLMObjD
623
17,129
0
25 Dec 2016
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