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1107.2021
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Multi-Instance Learning with Any Hypothesis Class
Journal of machine learning research (JMLR), 2011
11 July 2011
Sivan Sabato
Naftali Tishby
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Papers citing
"Multi-Instance Learning with Any Hypothesis Class"
16 / 16 papers shown
Weak to Strong Learning from Aggregate Labels
Conference on Uncertainty in Artificial Intelligence (UAI), 2024
Yukti Makhija
Rishi Saket
271
0
0
09 Nov 2024
Statistical learning on measures: an application to persistence diagrams
Olympio Hacquard
Gilles Blanchard
Clément Levrard
398
3
0
15 Mar 2023
On the Interpretability of Attention Networks
Asian Conference on Machine Learning (ACML), 2022
L. N. Pandey
Rahul Vashisht
H. G. Ramaswamy
238
7
0
30 Dec 2022
Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT
Jacopo Teneggi
Paul H. Yi
Jeremias Sulam
180
4
0
29 Nov 2022
All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene Classification
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022
Qi Bi
Beichen Zhou
K. Qin
Qinghao Ye
Guisong Xia
236
49
0
06 May 2022
Theory and Algorithms for Shapelet-based Multiple-Instance Learning
Neural Computation (Neural Comput.), 2020
D. Suehiro
Kohei Hatano
Eiji Takimoto
Shuji Yamamoto
Kenichi Bannai
Akiko Takeda
158
3
0
31 May 2020
Simplified and Unified Analysis of Various Learning Problems by Reduction to Multiple-Instance Learning
Conference on Uncertainty in Artificial Intelligence (UAI), 2019
D. Suehiro
Eiji Takimoto
444
1
0
14 Nov 2019
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
Computer Vision and Pattern Recognition (CVPR), 2019
Jia-Xing Zhong
Nannan Li
Weijie Kong
Shan Liu
Thomas H. Li
Ge Li
NoLa
SSL
350
505
0
18 Mar 2019
Robust Multi-instance Learning with Stable Instances
Weijia Zhang
Jiuyong Li
Lin Liu
269
0
0
13 Feb 2019
Multi Instance Learning For Unbalanced Data
Mark Kozdoba
E. Moroshko
Lior Shani
Takuya Takagi
Takashi Katoh
Shie Mannor
K. Crammer
103
1
0
17 Dec 2018
Multiple-Instance Learning by Boosting Infinitely Many Shapelet-based Classifiers
D. Suehiro
Kohei Hatano
Eiji Takimoto
Shuji Yamamoto
Kenichi Bannai
Akiko Takeda
95
1
0
20 Nov 2018
Learning Neural Networks with Two Nonlinear Layers in Polynomial Time
Surbhi Goel
Adam R. Klivans
396
52
0
18 Sep 2017
Multiple Instance Learning: A Survey of Problem Characteristics and Applications
M. Carbonneau
Veronika Cheplygina
Eric Granger
G. Gagnon
431
709
0
11 Dec 2016
Learning Theory for Distribution Regression
Journal of machine learning research (JMLR), 2014
Z. Szabó
Bharath K. Sriperumbudur
Barnabás Póczós
Arthur Gretton
OOD
517
151
0
08 Nov 2014
On Learning from Label Proportions
Felix X. Yu
Krzysztof Choromanski
Sanjiv Kumar
Tony Jebara
Shih-Fu Chang
313
89
0
24 Feb 2014
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising
Annual Conference Computational Learning Theory (COLT), 2013
Gilles Blanchard
Marek Flaska
G. Handy
Sara Pozzi
Clayton Scott
NoLa
373
256
0
05 Mar 2013
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