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Structured Prediction with Partial Labelling through the Infimum Loss
v1v2 (latest)

Structured Prediction with Partial Labelling through the Infimum Loss

2 March 2020
Vivien A. Cabannes
Alessandro Rudi
Francis R. Bach
ArXiv (abs)PDFHTML

Papers citing "Structured Prediction with Partial Labelling through the Infimum Loss"

17 / 17 papers shown
Title
Tuning the Right Foundation Models is What you Need for Partial Label Learning
Kuang He
Wei Tang
Tong Wei
Min Zhang
VLM
105
0
0
05 Jun 2025
Partial-Label Learning with a Reject Option
Partial-Label Learning with a Reject Option
Tobias Fuchs
Florian Kalinke
Klemens Bohm
124
1
0
08 Jan 2025
Active Learning for Semantic Segmentation with Multi-class Label Query
Active Learning for Semantic Segmentation with Multi-class Label Query
S. Hwang
Sohyun Lee
Hoyoung Kim
Minhyeon Oh
Jungseul Ok
Suha Kwak
VLM
93
8
0
17 Sep 2023
Conformal Prediction with Partially Labeled Data
Conformal Prediction with Partially Labeled Data
Alireza Javanmardi
Yusuf Sale
Paul Hofman
Eyke Hüllermeier
58
4
0
01 Jun 2023
Differentiable Clustering with Perturbed Spanning Forests
Differentiable Clustering with Perturbed Spanning Forests
Lawrence Stewart
Francis R. Bach
Felipe Llinares-López
Quentin Berthet
101
11
0
25 May 2023
Conformal Credal Self-Supervised Learning
Conformal Credal Self-Supervised Learning
Julian Lienen
Caglar Demir
Eyke Hüllermeier
92
14
0
30 May 2022
Active Labeling: Streaming Stochastic Gradients
Active Labeling: Streaming Stochastic Gradients
Vivien A. Cabannes
Francis R. Bach
Vianney Perchet
Alessandro Rudi
110
2
0
26 May 2022
Resolving label uncertainty with implicit posterior models
Resolving label uncertainty with implicit posterior models
Esther Rolf
Nikolay Malkin
Alexandros Graikos
A. Jojic
Caleb Robinson
Nebojsa Jojic
UQCV
78
10
0
28 Feb 2022
Credal Self-Supervised Learning
Credal Self-Supervised Learning
Julian Lienen
Eyke Hüllermeier
SSL
64
21
0
22 Jun 2021
On the Robustness of Average Losses for Partial-Label Learning
On the Robustness of Average Losses for Partial-Label Learning
Jiaqi Lv
Biao Liu
Lei Feng
Ning Xu
Miao Xu
Bo An
Gang Niu
Xin Geng
Masashi Sugiyama
92
35
0
11 Jun 2021
Leveraged Weighted Loss for Partial Label Learning
Leveraged Weighted Loss for Partial Label Learning
Hongwei Wen
Jingyi Cui
H. Hang
Jiabin Liu
Yisen Wang
Zhouchen Lin
69
101
0
10 Jun 2021
Learning from Multiple Noisy Partial Labelers
Learning from Multiple Noisy Partial Labelers
Peilin Yu
Tiffany Ding
Stephen H. Bach
NoLa
71
22
0
08 Jun 2021
Handling Long-Tail Queries with Slice-Aware Conversational Systems
Handling Long-Tail Queries with Slice-Aware Conversational Systems
Cheng Wang
Sun Kim
Taiwoo Park
Sajal Choudhary
Sunghyun Park
Young-Bum Kim
R. Sarikaya
Sungjin Lee
68
4
0
26 Apr 2021
Lower-Bounded Proper Losses for Weakly Supervised Classification
Lower-Bounded Proper Losses for Weakly Supervised Classification
Shuhei M. Yoshida
Takashi Takenouchi
Masashi Sugiyama
44
2
0
04 Mar 2021
Disambiguation of weak supervision with exponential convergence rates
Disambiguation of weak supervision with exponential convergence rates
Vivien A. Cabannes
Francis R. Bach
Alessandro Rudi
85
5
0
04 Feb 2021
Fast rates in structured prediction
Fast rates in structured prediction
Vivien A. Cabannes
Alessandro Rudi
Francis R. Bach
427
19
0
01 Feb 2021
Neural Learning of One-of-Many Solutions for Combinatorial Problems in
  Structured Output Spaces
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces
Yatin Nandwani
Deepanshu Jindal
Mausam
Parag Singla
117
13
0
27 Aug 2020
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