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Is margin all you need? An extensive empirical study of active learning on tabular data
7 October 2022
Dara Bahri
Heinrich Jiang
Tal Schuster
Afshin Rostamizadeh
LMTD
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Papers citing
"Is margin all you need? An extensive empirical study of active learning on tabular data"
10 / 10 papers shown
Title
Survey of Active Learning Hyperparameters: Insights from a Large-Scale Experimental Grid
Julius Gonsior
Tim Rieß
Anja Reusch
Claudio Hartmann
Maik Thiele
Wolfgang Lehner
169
0
0
04 Jun 2025
No Free Lunch in Active Learning: LLM Embedding Quality Dictates Query Strategy Success
Lukas Rauch
Moritz Wirth
Denis Huseljic
M. Herde
Bernhard Sick
Yi Men
75
0
0
18 May 2025
Core-Set Selection for Data-efficient Land Cover Segmentation
Keiller Nogueira
Akram Zaytar
Wanli Ma
R. Roscher
Ronny Hansch
...
Simone Fobi Nsutezo
Rahul Dodhia
J. L. Ferres
Oktay Karakuş
Paul L. Rosin
176
1
0
02 May 2025
A Cross-Domain Benchmark for Active Learning
Neural Information Processing Systems (NeurIPS), 2024
M. M. Kholoosi
M. A. Babar
Ilia Koloiarov
Lars Schmidt-Thieme
132
7
0
01 Aug 2024
ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data
Valentin Margraf
Marcel Wever
Sandra Gilhuber
Gabriel Marques Tavares
Thomas Seidl
Eyke Hüllermeier
165
3
0
25 Jun 2024
Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification
Denis Huseljic
Paul Hahn
M. Herde
Lukas Rauch
Bernhard Sick
206
3
0
13 Apr 2024
Benchmarking Multi-Domain Active Learning on Image Classification
Jiayi Li
Rohan Taori
Tatsunori Hashimoto
VLM
126
0
0
01 Dec 2023
Generalized Power Attacks against Crypto Hardware using Long-Range Deep Learning
Elie Bursztein
Luca Invernizzi
Karel Král
D. Moghimi
J. Picod
Marina Zhang
AAML
118
8
0
12 Jun 2023
Combining Self-labeling with Selective Sampling
Jędrzej Kozal
Michal Wo'zniak
95
3
0
11 Jan 2023
Efficient Bayesian Updates for Deep Learning via Laplace Approximations
Denis Huseljic
M. Herde
Lukas Rauch
Paul Hahn
Zhixin Huang
D. Kottke
S. Vogt
Bernhard Sick
BDL
171
0
0
12 Oct 2022
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