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LibAUC: A Deep Learning Library for X-Risk Optimization

LibAUC: A Deep Learning Library for X-Risk Optimization

5 June 2023
Zhuoning Yuan
Dixian Zhu
Zimeng Qiu
Gang Li
Xuanhui Wang
Tianbao Yang
    BDL
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Papers citing "LibAUC: A Deep Learning Library for X-Risk Optimization"

12 / 12 papers shown
Title
Which LLMs are Difficult to Detect? A Detailed Analysis of Potential
  Factors Contributing to Difficulties in LLM Text Detection
Which LLMs are Difficult to Detect? A Detailed Analysis of Potential Factors Contributing to Difficulties in LLM Text Detection
Shantanu Thorat
Tianbao Yang
DeLMO
23
0
0
18 Oct 2024
Efficient line search for optimizing Area Under the ROC Curve in
  gradient descent
Efficient line search for optimizing Area Under the ROC Curve in gradient descent
Jadon Fowler
Toby Dylan Hocking
20
0
0
11 Oct 2024
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation
Boyu Han
Qianqian Xu
Zhiyong Yang
Shilong Bao
Peisong Wen
Yangbangyan Jiang
Qingming Huang
26
2
0
30 Sep 2024
AASIST3: KAN-Enhanced AASIST Speech Deepfake Detection using SSL
  Features and Additional Regularization for the ASVspoof 2024 Challenge
AASIST3: KAN-Enhanced AASIST Speech Deepfake Detection using SSL Features and Additional Regularization for the ASVspoof 2024 Challenge
Kirill Borodin
Vasiliy Kudryavtsev
Dmitrii Korzh
Alexey Efimenko
Grach Mkrtchian
Mikhail Gorodnichev
Oleg Y. Rogov
41
1
0
30 Aug 2024
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning
  and Meta-Learning for Medical Image Classification
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification
Eva Pachetti
Sotirios A. Tsaftaris
Sara Colantonio
30
2
0
26 Mar 2024
DRAUC: An Instance-wise Distributionally Robust AUC Optimization
  Framework
DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework
Siran Dai
Qianqian Xu
Zhiyong Yang
Xiaochun Cao
Qingming Huang
19
1
0
06 Nov 2023
AUC-mixup: Deep AUC Maximization with Mixup
AUC-mixup: Deep AUC Maximization with Mixup
Jianzhi Xv
Gang Li
Tianbao Yang
10
0
0
18 Oct 2023
AUC Optimization from Multiple Unlabeled Datasets
AUC Optimization from Multiple Unlabeled Datasets
Zheng Xie
Yu Liu
Ming Li
60
0
0
25 May 2023
AUC Maximization for Low-Resource Named Entity Recognition
AUC Maximization for Low-Resource Named Entity Recognition
Ngoc Dang Nguyen
Wei Tan
Wray L. Buntine
Richard Beare
Changyou Chen
Lan Du
21
8
0
09 Dec 2022
Performance or Trust? Why Not Both. Deep AUC Maximization with
  Self-Supervised Learning for COVID-19 Chest X-ray Classifications
Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications
Siyuan He
Pengcheng Xi
Ashkan Ebadi
Stéphane Tremblay
Alexander Wong
OOD
23
6
0
14 Dec 2021
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval
A. Brown
Weidi Xie
Vicky Kalogeiton
Andrew Zisserman
34
163
0
23 Jul 2020
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
247
36,237
0
25 Aug 2016
1