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Uses and Abuses of the Cross-Entropy Loss: Case Studies in Modern Deep
  Learning

Uses and Abuses of the Cross-Entropy Loss: Case Studies in Modern Deep Learning

10 November 2020
E. Gordon-Rodríguez
Gabriel Loaiza-Ganem
Geoff Pleiss
John P. Cunningham
    OODUQCV
ArXiv (abs)PDFHTML

Papers citing "Uses and Abuses of the Cross-Entropy Loss: Case Studies in Modern Deep Learning"

12 / 12 papers shown
Cyber Attacks Prevention Towards Prosumer-based EV Charging Stations: An
  Edge-assisted Federated Prototype Knowledge Distillation Approach
Cyber Attacks Prevention Towards Prosumer-based EV Charging Stations: An Edge-assisted Federated Prototype Knowledge Distillation ApproachIEEE Transactions on Network and Service Management (TNSM), 2024
Luyao Zou
Quang Hieu Vo
Kitae Kim
Huy Q. Le
Chu Myaet Thwal
Chaoning Zhang
Choong Seon Hong
303
6
0
17 Oct 2024
Prediction-driven resource provisioning for serverless container
  runtimes
Prediction-driven resource provisioning for serverless container runtimesInternational Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), 2023
Dimitris Fotakis
Michail Tsenos
V. Kalogeraki
AI4TS
244
5
0
09 Oct 2024
TIMBER: On supporting data pipelines in Mobile Cloud Environments
TIMBER: On supporting data pipelines in Mobile Cloud EnvironmentsInternational Conference on Mobile Data Management (MDM), 2024
Dimitris Fotakis
Michail Tsenos
V. Kalogeraki
Dimitrios Gunopulos
233
1
0
08 Oct 2024
Towards noise contrastive estimation with soft targets for conditional
  models
Towards noise contrastive estimation with soft targets for conditional models
J. Hugger
Virginie Uhlmann
UQCV
305
2
0
22 Apr 2024
Interpretable Computer Vision Models through Adversarial Training:
  Unveiling the Robustness-Interpretability Connection
Interpretable Computer Vision Models through Adversarial Training: Unveiling the Robustness-Interpretability Connection
Delyan Boychev
AAML
203
1
0
04 Jul 2023
Data Augmentation for Compositional Data: Advancing Predictive Models of
  the Microbiome
Data Augmentation for Compositional Data: Advancing Predictive Models of the MicrobiomeNeural Information Processing Systems (NeurIPS), 2022
E. Gordon-Rodríguez
Thomas P. Quinn
John P. Cunningham
232
14
0
20 May 2022
An Artificial Neural Network Functionalized by Evolution
An Artificial Neural Network Functionalized by Evolution
Fabien Furfaro
Avner Bar-Hen
Geoffroy Berthelot
259
0
0
16 May 2022
FundusQ-Net: a Regression Quality Assessment Deep Learning Algorithm for
  Fundus Images Quality Grading
FundusQ-Net: a Regression Quality Assessment Deep Learning Algorithm for Fundus Images Quality Grading
Or Abramovich
Hadas Pizem
Jan Van Eijgen
Ilan Oren
Joshua Melamed
Ingeborg Stalmans
E. Blumenthal
Joachim A. Behar
MedIm
329
41
0
02 May 2022
On the Normalizing Constant of the Continuous Categorical Distribution
On the Normalizing Constant of the Continuous Categorical Distribution
E. Gordon-Rodríguez
Gabriel Loaiza-Ganem
Andres Potapczynski
John P. Cunningham
157
2
0
28 Apr 2022
The Effect of Model Compression on Fairness in Facial Expression
  Recognition
The Effect of Model Compression on Fairness in Facial Expression Recognition
Samuil Stoychev
Hatice Gunes
CVBM
269
25
0
05 Jan 2022
DSC-IITISM at FinCausal 2021: Combining POS tagging with Attention-based
  Contextual Representations for Identifying Causal Relationships in Financial
  Documents
DSC-IITISM at FinCausal 2021: Combining POS tagging with Attention-based Contextual Representations for Identifying Causal Relationships in Financial Documents
Gunjan Haldar
Aman Mittal
Pradyumna Gupta
101
1
0
31 Oct 2021
Metrics for Benchmarking and Uncertainty Quantification: Quality,
  Applicability, and a Path to Best Practices for Machine Learning in Chemistry
Metrics for Benchmarking and Uncertainty Quantification: Quality, Applicability, and a Path to Best Practices for Machine Learning in ChemistryTrends in Chemistry (TC), 2020
G. Vishwakarma
Aditya Sonpal
J. Hachmann
315
53
0
30 Sep 2020
1
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