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SINCERE: Supervised Information Noise-Contrastive Estimation REvisited

SINCERE: Supervised Information Noise-Contrastive Estimation REvisited

25 September 2023
Patrick Feeney
M. C. Hughes
ArXivPDFHTML

Papers citing "SINCERE: Supervised Information Noise-Contrastive Estimation REvisited"

6 / 6 papers shown
Title
DIN-CTS: Low-Complexity Depthwise-Inception Neural Network with Contrastive Training Strategy for Deepfake Speech Detection
DIN-CTS: Low-Complexity Depthwise-Inception Neural Network with Contrastive Training Strategy for Deepfake Speech Detection
L. D. Pham
Dat Tran
Florian Skopik
Alexander Schindler
Silvia Poletti
Fischinger David
Martin Boyer
Martin Boyer
46
1
0
27 Feb 2025
A Human Rights-Based Approach to Responsible AI
A Human Rights-Based Approach to Responsible AI
Vinodkumar Prabhakaran
Margaret Mitchell
Timnit Gebru
Iason Gabriel
23
35
0
06 Oct 2022
Rethinking Supervised Pre-training for Better Downstream Transferring
Rethinking Supervised Pre-training for Better Downstream Transferring
Yutong Feng
Jianwen Jiang
Mingqian Tang
R. L. Jin
Yue Gao
SSL
43
38
0
12 Oct 2021
Dissecting Supervised Contrastive Learning
Dissecting Supervised Contrastive Learning
Florian Graf
Christoph Hofer
Marc Niethammer
Roland Kwitt
SSL
107
68
0
17 Feb 2021
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
A. Smeaton
SSL
AI4TS
149
670
0
10 Oct 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
286
4,143
0
23 Aug 2019
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